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| <div class="title">arm_compute::graph::backends::detail Namespace Reference</div> </div> |
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| <div class="contents"> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> |
| Data Structures</h2></td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1detail_1_1_backend_registrar.xhtml">BackendRegistrar</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Helper class to statically register a backend. <a href="classarm__compute_1_1graph_1_1backends_1_1detail_1_1_backend_registrar.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:a69dd1fc17c7a15f4125873be182c8c76"><td class="memTemplParams" colspan="2">template<typename TargetInfo > </td></tr> |
| <tr class="memitem:a69dd1fc17c7a15f4125873be182c8c76"><td class="memTemplItemLeft" align="right" valign="top">TargetInfo::TensorType * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a69dd1fc17c7a15f4125873be182c8c76">get_backing_tensor</a> (<a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a> *tensor)</td></tr> |
| <tr class="memdesc:a69dd1fc17c7a15f4125873be182c8c76"><td class="mdescLeft"> </td><td class="mdescRight">Returns backing tensor of a given tensor. <a href="#a69dd1fc17c7a15f4125873be182c8c76">More...</a><br /></td></tr> |
| <tr class="separator:a69dd1fc17c7a15f4125873be182c8c76"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa6fabefcb8c4bd308219565ddcf00928"><td class="memTemplParams" colspan="2">template<typename TargetInfo > </td></tr> |
| <tr class="memitem:aa6fabefcb8c4bd308219565ddcf00928"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa6fabefcb8c4bd308219565ddcf00928">validate_node</a> (const <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> &node, size_t num_expected_inputs, size_t num_expected_outputs)</td></tr> |
| <tr class="separator:aa6fabefcb8c4bd308219565ddcf00928"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="memTemplParams" colspan="2">template<typename ActivationLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0f5afb0ddd5aec3a8e4df3c56d7d91f4">create_activation_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml">ActivationLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="mdescLeft"> </td><td class="mdescRight">Creates a backend activation layer function. <a href="#a0f5afb0ddd5aec3a8e4df3c56d7d91f4">More...</a><br /></td></tr> |
| <tr class="separator:a0f5afb0ddd5aec3a8e4df3c56d7d91f4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5d1a73ab4a0b267033a569c46813b9d5"><td class="memTemplParams" colspan="2">template<typename BatchNormalizationLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a5d1a73ab4a0b267033a569c46813b9d5"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5d1a73ab4a0b267033a569c46813b9d5">create_batch_normalization_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml">BatchNormalizationLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a5d1a73ab4a0b267033a569c46813b9d5"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend batch normalization layer function. <a href="#a5d1a73ab4a0b267033a569c46813b9d5">More...</a><br /></td></tr> |
| <tr class="separator:a5d1a73ab4a0b267033a569c46813b9d5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a493f9b9869bce476611a3590315563a2"><td class="memTemplParams" colspan="2">template<typename FusedLayerTypes , typename TargetInfo > </td></tr> |
| <tr class="memitem:a493f9b9869bce476611a3590315563a2"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a493f9b9869bce476611a3590315563a2">create_fused_convolution_batch_normalization_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml">FusedConvolutionBatchNormalizationNode</a> &node)</td></tr> |
| <tr class="memdesc:a493f9b9869bce476611a3590315563a2"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend batch normalization layer function. <a href="#a493f9b9869bce476611a3590315563a2">More...</a><br /></td></tr> |
| <tr class="separator:a493f9b9869bce476611a3590315563a2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af32b2b969ff97acb4faf54d70261f43a"><td class="memTemplParams" colspan="2">template<typename FusedLayerTypes , typename TargetInfo > </td></tr> |
| <tr class="memitem:af32b2b969ff97acb4faf54d70261f43a"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#af32b2b969ff97acb4faf54d70261f43a">create_fused_depthwise_convolution_batch_normalization_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode</a> &node)</td></tr> |
| <tr class="memdesc:af32b2b969ff97acb4faf54d70261f43a"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend fused depthwise convolution batch normalization layer function. <a href="#af32b2b969ff97acb4faf54d70261f43a">More...</a><br /></td></tr> |
| <tr class="separator:af32b2b969ff97acb4faf54d70261f43a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab3787ac008a709edda8d347370bbad61"><td class="memTemplParams" colspan="2">template<typename BoundingBoxTransformLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:ab3787ac008a709edda8d347370bbad61"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab3787ac008a709edda8d347370bbad61">create_bounding_box_transform_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml">BoundingBoxTransformLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ab3787ac008a709edda8d347370bbad61"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend bounding box transform layer function. <a href="#ab3787ac008a709edda8d347370bbad61">More...</a><br /></td></tr> |
| <tr class="separator:ab3787ac008a709edda8d347370bbad61"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3f5c14020836599056281fe52d7e9dd3"><td class="memTemplParams" colspan="2">template<typename ChannelShuffleLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a3f5c14020836599056281fe52d7e9dd3"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a3f5c14020836599056281fe52d7e9dd3">create_channel_shuffle_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml">ChannelShuffleLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a3f5c14020836599056281fe52d7e9dd3"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend channel shuffle layer function. <a href="#a3f5c14020836599056281fe52d7e9dd3">More...</a><br /></td></tr> |
| <tr class="separator:a3f5c14020836599056281fe52d7e9dd3"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="memTemplParams" colspan="2">template<typename ConcatenateLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a627f6bdc4a7de6dbb03acb3d8b3a4d6d">create_concatenate_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml">ConcatenateLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend layer concatenate function. <a href="#a627f6bdc4a7de6dbb03acb3d8b3a4d6d">More...</a><br /></td></tr> |
| <tr class="separator:a627f6bdc4a7de6dbb03acb3d8b3a4d6d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="memTemplParams" colspan="2">template<typename ConvolutionLayerFunctions , typename TargetInfo > </td></tr> |
| <tr class="memitem:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9e38014fa1e7e08dcbf3b5f8c3bdb81e">create_convolution_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend convolution layer function. <a href="#a9e38014fa1e7e08dcbf3b5f8c3bdb81e">More...</a><br /></td></tr> |
| <tr class="separator:a9e38014fa1e7e08dcbf3b5f8c3bdb81e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="memTemplParams" colspan="2">template<typename DeconvolutionLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ac77fa3bf0d7d7c3fde6243192f93f380">create_deconvolution_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml">DeconvolutionLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend deconvolution layer function. <a href="#ac77fa3bf0d7d7c3fde6243192f93f380">More...</a><br /></td></tr> |
| <tr class="separator:ac77fa3bf0d7d7c3fde6243192f93f380"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="memTemplParams" colspan="2">template<typename DepthwiseConvolutionLayerFunctions , typename TargetInfo > </td></tr> |
| <tr class="memitem:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab8ff2a40f95b76ec10ac2a98d1a8d594">create_depthwise_convolution_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend layer depth-wise convolution function. <a href="#ab8ff2a40f95b76ec10ac2a98d1a8d594">More...</a><br /></td></tr> |
| <tr class="separator:ab8ff2a40f95b76ec10ac2a98d1a8d594"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afce1d2d783bb97a3a8c3c406c8cf6b9c"><td class="memTemplParams" colspan="2">template<typename DetectionOutputLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:afce1d2d783bb97a3a8c3c406c8cf6b9c"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#afce1d2d783bb97a3a8c3c406c8cf6b9c">create_detection_output_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:afce1d2d783bb97a3a8c3c406c8cf6b9c"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend detection output layer function. <a href="#afce1d2d783bb97a3a8c3c406c8cf6b9c">More...</a><br /></td></tr> |
| <tr class="separator:afce1d2d783bb97a3a8c3c406c8cf6b9c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2dbe319a9ac9b6820b2ef5eff8c46ddc"><td class="memTemplParams" colspan="2">template<typename DetectionPostProcessLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a2dbe319a9ac9b6820b2ef5eff8c46ddc"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dbe319a9ac9b6820b2ef5eff8c46ddc">create_detection_post_process_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a2dbe319a9ac9b6820b2ef5eff8c46ddc"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend detection post process layer function. <a href="#a2dbe319a9ac9b6820b2ef5eff8c46ddc">More...</a><br /></td></tr> |
| <tr class="separator:a2dbe319a9ac9b6820b2ef5eff8c46ddc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="memTemplParams" colspan="2">template<typename EltwiseFunctions , typename TargetInfo > </td></tr> |
| <tr class="memitem:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa37faf92f78c0f5cefe2d43c8bf07f18">create_eltwise_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">EltwiseLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend element-wise operation layer function. <a href="#aa37faf92f78c0f5cefe2d43c8bf07f18">More...</a><br /></td></tr> |
| <tr class="separator:aa37faf92f78c0f5cefe2d43c8bf07f18"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="memTemplParams" colspan="2">template<typename FlattenLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7880c3b249a6dad40da0ebcf6600b0e1">create_flatten_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml">FlattenLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend flatten layer function. <a href="#a7880c3b249a6dad40da0ebcf6600b0e1">More...</a><br /></td></tr> |
| <tr class="separator:a7880c3b249a6dad40da0ebcf6600b0e1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac64bbd0df74207f9ab59953e21311178"><td class="memTemplParams" colspan="2">template<typename FullyConnectedLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:ac64bbd0df74207f9ab59953e21311178"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ac64bbd0df74207f9ab59953e21311178">create_fully_connected_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml">FullyConnectedLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:ac64bbd0df74207f9ab59953e21311178"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend fully connected layer function. <a href="#ac64bbd0df74207f9ab59953e21311178">More...</a><br /></td></tr> |
| <tr class="separator:ac64bbd0df74207f9ab59953e21311178"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1a18725e5da4a7ae62c9a3b731ab8fe1"><td class="memTemplParams" colspan="2">template<typename GenerateProposalsLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a1a18725e5da4a7ae62c9a3b731ab8fe1"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1a18725e5da4a7ae62c9a3b731ab8fe1">create_generate_proposals_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml">GenerateProposalsLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:a1a18725e5da4a7ae62c9a3b731ab8fe1"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend generate proposals layer function. <a href="#a1a18725e5da4a7ae62c9a3b731ab8fe1">More...</a><br /></td></tr> |
| <tr class="separator:a1a18725e5da4a7ae62c9a3b731ab8fe1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2dfc97df083b68f8409ba21d8a0110d8"><td class="memTemplParams" colspan="2">template<typename NormalizationLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a2dfc97df083b68f8409ba21d8a0110d8"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dfc97df083b68f8409ba21d8a0110d8">create_normalization_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml">NormalizationLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:a2dfc97df083b68f8409ba21d8a0110d8"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend normalization layer function. <a href="#a2dfc97df083b68f8409ba21d8a0110d8">More...</a><br /></td></tr> |
| <tr class="separator:a2dfc97df083b68f8409ba21d8a0110d8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a92b35a365f58606a13baaf4501d78d9e"><td class="memTemplParams" colspan="2">template<typename NormalizePlanarYUVLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a92b35a365f58606a13baaf4501d78d9e"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a92b35a365f58606a13baaf4501d78d9e">create_normalize_planar_yuv_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml">NormalizePlanarYUVLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a92b35a365f58606a13baaf4501d78d9e"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend normalize planar YUV layer function. <a href="#a92b35a365f58606a13baaf4501d78d9e">More...</a><br /></td></tr> |
| <tr class="separator:a92b35a365f58606a13baaf4501d78d9e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a127d0cce11ed3d411eaa5bd25c7a3ac1"><td class="memTemplParams" colspan="2">template<typename PadLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a127d0cce11ed3d411eaa5bd25c7a3ac1"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a127d0cce11ed3d411eaa5bd25c7a3ac1">create_pad_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml">PadLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a127d0cce11ed3d411eaa5bd25c7a3ac1"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend pad layer function. <a href="#a127d0cce11ed3d411eaa5bd25c7a3ac1">More...</a><br /></td></tr> |
| <tr class="separator:a127d0cce11ed3d411eaa5bd25c7a3ac1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="memTemplParams" colspan="2">template<typename PermuteLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa65a1becdfa5fc3533d79bba0cd4095c">create_permute_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml">PermuteLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend permute layer function. <a href="#aa65a1becdfa5fc3533d79bba0cd4095c">More...</a><br /></td></tr> |
| <tr class="separator:aa65a1becdfa5fc3533d79bba0cd4095c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0e51b62035e79b0f12964cae17ce0480"><td class="memTemplParams" colspan="2">template<typename PoolingLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a0e51b62035e79b0f12964cae17ce0480"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0e51b62035e79b0f12964cae17ce0480">create_pooling_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml">PoolingLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a0e51b62035e79b0f12964cae17ce0480"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend pooling layer function. <a href="#a0e51b62035e79b0f12964cae17ce0480">More...</a><br /></td></tr> |
| <tr class="separator:a0e51b62035e79b0f12964cae17ce0480"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aaf28fee838c38cc4da407a4dbc62f7b0"><td class="memTemplParams" colspan="2">template<typename PriorBoxLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:aaf28fee838c38cc4da407a4dbc62f7b0"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aaf28fee838c38cc4da407a4dbc62f7b0">create_priorbox_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml">PriorBoxLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:aaf28fee838c38cc4da407a4dbc62f7b0"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend priorbox layer function. <a href="#aaf28fee838c38cc4da407a4dbc62f7b0">More...</a><br /></td></tr> |
| <tr class="separator:aaf28fee838c38cc4da407a4dbc62f7b0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a31be99a5d0f75045fc411e211824baad"><td class="memTemplParams" colspan="2">template<typename QuantizationLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a31be99a5d0f75045fc411e211824baad"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a31be99a5d0f75045fc411e211824baad">create_quantization_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml">QuantizationLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a31be99a5d0f75045fc411e211824baad"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend quantization layer function. <a href="#a31be99a5d0f75045fc411e211824baad">More...</a><br /></td></tr> |
| <tr class="separator:a31be99a5d0f75045fc411e211824baad"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0331e6b2b68ea76e9415f7f148d92601"><td class="memTemplParams" colspan="2">template<typename ReorgLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a0331e6b2b68ea76e9415f7f148d92601"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0331e6b2b68ea76e9415f7f148d92601">create_reorg_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml">ReorgLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a0331e6b2b68ea76e9415f7f148d92601"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend reorg layer function. <a href="#a0331e6b2b68ea76e9415f7f148d92601">More...</a><br /></td></tr> |
| <tr class="separator:a0331e6b2b68ea76e9415f7f148d92601"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad1922deea021647290d0c206723e6c73"><td class="memTemplParams" colspan="2">template<typename ReshapeLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:ad1922deea021647290d0c206723e6c73"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad1922deea021647290d0c206723e6c73">create_reshape_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml">ReshapeLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ad1922deea021647290d0c206723e6c73"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend reshape layer function. <a href="#ad1922deea021647290d0c206723e6c73">More...</a><br /></td></tr> |
| <tr class="separator:ad1922deea021647290d0c206723e6c73"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adb3a9be16de941b0f601e16c8ac76533"><td class="memTemplParams" colspan="2">template<typename ResizeLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:adb3a9be16de941b0f601e16c8ac76533"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#adb3a9be16de941b0f601e16c8ac76533">create_resize_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_resize_layer_node.xhtml">ResizeLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:adb3a9be16de941b0f601e16c8ac76533"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend resize layer function. <a href="#adb3a9be16de941b0f601e16c8ac76533">More...</a><br /></td></tr> |
| <tr class="separator:adb3a9be16de941b0f601e16c8ac76533"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adef77d1f64203fe2828b3f992c87f5df"><td class="memTemplParams" colspan="2">template<typename ROIAlignLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:adef77d1f64203fe2828b3f992c87f5df"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#adef77d1f64203fe2828b3f992c87f5df">create_roi_align_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml">ROIAlignLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:adef77d1f64203fe2828b3f992c87f5df"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend ROI align layer function. <a href="#adef77d1f64203fe2828b3f992c87f5df">More...</a><br /></td></tr> |
| <tr class="separator:adef77d1f64203fe2828b3f992c87f5df"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a69a819dc92f559ed0b788392391da602"><td class="memTemplParams" colspan="2">template<typename SliceLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a69a819dc92f559ed0b788392391da602"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a69a819dc92f559ed0b788392391da602">create_slice_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml">SliceLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a69a819dc92f559ed0b788392391da602"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend slice layer function. <a href="#a69a819dc92f559ed0b788392391da602">More...</a><br /></td></tr> |
| <tr class="separator:a69a819dc92f559ed0b788392391da602"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5271c97b6bef5972c5e259307d52a4da"><td class="memTemplParams" colspan="2">template<typename SoftmaxLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a5271c97b6bef5972c5e259307d52a4da"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5271c97b6bef5972c5e259307d52a4da">create_softmax_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml">SoftmaxLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:a5271c97b6bef5972c5e259307d52a4da"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend softmax layer function. <a href="#a5271c97b6bef5972c5e259307d52a4da">More...</a><br /></td></tr> |
| <tr class="separator:a5271c97b6bef5972c5e259307d52a4da"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae157076aa533f9db0960dea1d5fc5014"><td class="memTemplParams" colspan="2">template<typename StackLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:ae157076aa533f9db0960dea1d5fc5014"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ae157076aa533f9db0960dea1d5fc5014">create_stack_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_stack_layer_node.xhtml">StackLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ae157076aa533f9db0960dea1d5fc5014"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend layer stack function. <a href="#ae157076aa533f9db0960dea1d5fc5014">More...</a><br /></td></tr> |
| <tr class="separator:ae157076aa533f9db0960dea1d5fc5014"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:acd9d23be81ad915ff875876c6606f576"><td class="memTemplParams" colspan="2">template<typename UpsampleLayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:acd9d23be81ad915ff875876c6606f576"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#acd9d23be81ad915ff875876c6606f576">create_upsample_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml">UpsampleLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:acd9d23be81ad915ff875876c6606f576"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend Upsample layer function. <a href="#acd9d23be81ad915ff875876c6606f576">More...</a><br /></td></tr> |
| <tr class="separator:acd9d23be81ad915ff875876c6606f576"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7db148217bc0f1f5a4adf6194c858d24"><td class="memTemplParams" colspan="2">template<typename YOLOlayerFunction , typename TargetInfo > </td></tr> |
| <tr class="memitem:a7db148217bc0f1f5a4adf6194c858d24"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7db148217bc0f1f5a4adf6194c858d24">create_yolo_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml">YOLOLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="memdesc:a7db148217bc0f1f5a4adf6194c858d24"><td class="mdescLeft"> </td><td class="mdescRight">Create a backend YOLO layer function. <a href="#a7db148217bc0f1f5a4adf6194c858d24">More...</a><br /></td></tr> |
| <tr class="separator:a7db148217bc0f1f5a4adf6194c858d24"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9785ffbaaa220b6725a93a6f7f3145ca"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a> (<a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a> *tensor)</td></tr> |
| <tr class="memdesc:a9785ffbaaa220b6725a93a6f7f3145ca"><td class="mdescLeft"> </td><td class="mdescRight">Returns backing tensor info of a given tensor. <a href="#a9785ffbaaa220b6725a93a6f7f3145ca">More...</a><br /></td></tr> |
| <tr class="separator:a9785ffbaaa220b6725a93a6f7f3145ca"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a94ce5eb74599047cd5f8b735e2464d12"><td class="memTemplParams" colspan="2">template<typename BoundingBoxTransformLayer > </td></tr> |
| <tr class="memitem:a94ce5eb74599047cd5f8b735e2464d12"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a94ce5eb74599047cd5f8b735e2464d12">validate_bounding_box_transform_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml">BoundingBoxTransformLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a94ce5eb74599047cd5f8b735e2464d12"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Bounding Box Transform layer node. <a href="#a94ce5eb74599047cd5f8b735e2464d12">More...</a><br /></td></tr> |
| <tr class="separator:a94ce5eb74599047cd5f8b735e2464d12"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab4632d71bdb4542008ad33b7b74b7b2c"><td class="memTemplParams" colspan="2">template<typename ChannelShuffleLayer > </td></tr> |
| <tr class="memitem:ab4632d71bdb4542008ad33b7b74b7b2c"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab4632d71bdb4542008ad33b7b74b7b2c">validate_channel_shuffle_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml">ChannelShuffleLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ab4632d71bdb4542008ad33b7b74b7b2c"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Channel Shuffle layer node. <a href="#ab4632d71bdb4542008ad33b7b74b7b2c">More...</a><br /></td></tr> |
| <tr class="separator:ab4632d71bdb4542008ad33b7b74b7b2c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a84a36a0cae1ceb4313891ca841b11cb3"><td class="memTemplParams" colspan="2">template<typename ConvolutionLayer , typename DirectConvolutionLayer , typename GEMMConvolutionLayer , typename WinogradConvolutionLayer > </td></tr> |
| <tr class="memitem:a84a36a0cae1ceb4313891ca841b11cb3"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a84a36a0cae1ceb4313891ca841b11cb3">validate_convolution_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a84a36a0cae1ceb4313891ca841b11cb3"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Convolution layer node. <a href="#a84a36a0cae1ceb4313891ca841b11cb3">More...</a><br /></td></tr> |
| <tr class="separator:a84a36a0cae1ceb4313891ca841b11cb3"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1634943db602da2c457279f427ab9538"><td class="memTemplParams" colspan="2">template<typename DepthwiseConvolutionLayer , typename DepthwiseConvolutionLayer3x3 > </td></tr> |
| <tr class="memitem:a1634943db602da2c457279f427ab9538"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1634943db602da2c457279f427ab9538">validate_depthwise_convolution_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a1634943db602da2c457279f427ab9538"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Depthwise Convolution layer node. <a href="#a1634943db602da2c457279f427ab9538">More...</a><br /></td></tr> |
| <tr class="separator:a1634943db602da2c457279f427ab9538"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a432fd13bfda1435e0d3a8aa5b3dddf4f"><td class="memTemplParams" colspan="2">template<typename DetectionOutputLayer > </td></tr> |
| <tr class="memitem:a432fd13bfda1435e0d3a8aa5b3dddf4f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a432fd13bfda1435e0d3a8aa5b3dddf4f">validate_detection_output_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a432fd13bfda1435e0d3a8aa5b3dddf4f"><td class="mdescLeft"> </td><td class="mdescRight">Validates a detection output layer node. <a href="#a432fd13bfda1435e0d3a8aa5b3dddf4f">More...</a><br /></td></tr> |
| <tr class="separator:a432fd13bfda1435e0d3a8aa5b3dddf4f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9c20f659744b7e6854294198184c60f1"><td class="memTemplParams" colspan="2">template<typename DetectionPostProcessLayer > </td></tr> |
| <tr class="memitem:a9c20f659744b7e6854294198184c60f1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9c20f659744b7e6854294198184c60f1">validate_detection_post_process_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a9c20f659744b7e6854294198184c60f1"><td class="mdescLeft"> </td><td class="mdescRight">Validates a detection post process layer node. <a href="#a9c20f659744b7e6854294198184c60f1">More...</a><br /></td></tr> |
| <tr class="separator:a9c20f659744b7e6854294198184c60f1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a40f232193e819dfc9dc9edbabefd5b7a"><td class="memTemplParams" colspan="2">template<typename GenerateProposalsLayer > </td></tr> |
| <tr class="memitem:a40f232193e819dfc9dc9edbabefd5b7a"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a40f232193e819dfc9dc9edbabefd5b7a">validate_generate_proposals_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml">GenerateProposalsLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a40f232193e819dfc9dc9edbabefd5b7a"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Generate Proposals layer node. <a href="#a40f232193e819dfc9dc9edbabefd5b7a">More...</a><br /></td></tr> |
| <tr class="separator:a40f232193e819dfc9dc9edbabefd5b7a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad6c95a270f3275bd5711ce6ec193c4ff"><td class="memTemplParams" colspan="2">template<typename NormalizePlanarYUVLayer > </td></tr> |
| <tr class="memitem:ad6c95a270f3275bd5711ce6ec193c4ff"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad6c95a270f3275bd5711ce6ec193c4ff">validate_normalize_planar_yuv_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml">NormalizePlanarYUVLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ad6c95a270f3275bd5711ce6ec193c4ff"><td class="mdescLeft"> </td><td class="mdescRight">Validates a NormalizePlanarYUV layer node. <a href="#ad6c95a270f3275bd5711ce6ec193c4ff">More...</a><br /></td></tr> |
| <tr class="separator:ad6c95a270f3275bd5711ce6ec193c4ff"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ada206e294c8d07093a8a50e08172c272"><td class="memTemplParams" colspan="2">template<typename PadLayer > </td></tr> |
| <tr class="memitem:ada206e294c8d07093a8a50e08172c272"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ada206e294c8d07093a8a50e08172c272">validate_pad_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml">PadLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ada206e294c8d07093a8a50e08172c272"><td class="mdescLeft"> </td><td class="mdescRight">Validates a pad layer node. <a href="#ada206e294c8d07093a8a50e08172c272">More...</a><br /></td></tr> |
| <tr class="separator:ada206e294c8d07093a8a50e08172c272"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aeb6f53f28ef137932823d17554043056"><td class="memTemplParams" colspan="2">template<typename PermuteLayer > </td></tr> |
| <tr class="memitem:aeb6f53f28ef137932823d17554043056"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aeb6f53f28ef137932823d17554043056">validate_permute_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml">PermuteLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:aeb6f53f28ef137932823d17554043056"><td class="mdescLeft"> </td><td class="mdescRight">Validates a permute layer node. <a href="#aeb6f53f28ef137932823d17554043056">More...</a><br /></td></tr> |
| <tr class="separator:aeb6f53f28ef137932823d17554043056"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a76682a55960d790a11357ab922a5d659"><td class="memTemplParams" colspan="2">template<typename PriorBoxLayer > </td></tr> |
| <tr class="memitem:a76682a55960d790a11357ab922a5d659"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a76682a55960d790a11357ab922a5d659">validate_priorbox_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml">PriorBoxLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a76682a55960d790a11357ab922a5d659"><td class="mdescLeft"> </td><td class="mdescRight">Validates a priorbox layer node. <a href="#a76682a55960d790a11357ab922a5d659">More...</a><br /></td></tr> |
| <tr class="separator:a76682a55960d790a11357ab922a5d659"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a959fdd41c94dde46a21dd2bf6d50c48b"><td class="memTemplParams" colspan="2">template<typename QuantizationLayer > </td></tr> |
| <tr class="memitem:a959fdd41c94dde46a21dd2bf6d50c48b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a959fdd41c94dde46a21dd2bf6d50c48b">validate_quantization_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml">QuantizationLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a959fdd41c94dde46a21dd2bf6d50c48b"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Quantization layer node. <a href="#a959fdd41c94dde46a21dd2bf6d50c48b">More...</a><br /></td></tr> |
| <tr class="separator:a959fdd41c94dde46a21dd2bf6d50c48b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4451f539afe63a19da3d17ee95582277"><td class="memTemplParams" colspan="2">template<typename ReorgLayer > </td></tr> |
| <tr class="memitem:a4451f539afe63a19da3d17ee95582277"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a4451f539afe63a19da3d17ee95582277">validate_reorg_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml">ReorgLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a4451f539afe63a19da3d17ee95582277"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Reorg layer node. <a href="#a4451f539afe63a19da3d17ee95582277">More...</a><br /></td></tr> |
| <tr class="separator:a4451f539afe63a19da3d17ee95582277"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad4cb768bba67e8ccb02d0903da459ecb"><td class="memTemplParams" colspan="2">template<typename ReshapeLayer > </td></tr> |
| <tr class="memitem:ad4cb768bba67e8ccb02d0903da459ecb"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad4cb768bba67e8ccb02d0903da459ecb">validate_reshape_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml">ReshapeLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:ad4cb768bba67e8ccb02d0903da459ecb"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Reshape layer node. <a href="#ad4cb768bba67e8ccb02d0903da459ecb">More...</a><br /></td></tr> |
| <tr class="separator:ad4cb768bba67e8ccb02d0903da459ecb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a366fca5f1c0a2ed6ee50e9d619d4f2e5"><td class="memTemplParams" colspan="2">template<typename ROIAlignLayer > </td></tr> |
| <tr class="memitem:a366fca5f1c0a2ed6ee50e9d619d4f2e5"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a366fca5f1c0a2ed6ee50e9d619d4f2e5">validate_roi_align_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml">ROIAlignLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a366fca5f1c0a2ed6ee50e9d619d4f2e5"><td class="mdescLeft"> </td><td class="mdescRight">Validates a ROI Align layer node. <a href="#a366fca5f1c0a2ed6ee50e9d619d4f2e5">More...</a><br /></td></tr> |
| <tr class="separator:a366fca5f1c0a2ed6ee50e9d619d4f2e5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3c749cc534b2801f46ec56d78abc7fef"><td class="memTemplParams" colspan="2">template<typename SliceLayer > </td></tr> |
| <tr class="memitem:a3c749cc534b2801f46ec56d78abc7fef"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a3c749cc534b2801f46ec56d78abc7fef">validate_slice_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml">SliceLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a3c749cc534b2801f46ec56d78abc7fef"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Slice layer node. <a href="#a3c749cc534b2801f46ec56d78abc7fef">More...</a><br /></td></tr> |
| <tr class="separator:a3c749cc534b2801f46ec56d78abc7fef"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8396c4dda471ae2dc627e25adfbe1bcf"><td class="memTemplParams" colspan="2">template<typename UpsampleLayer > </td></tr> |
| <tr class="memitem:a8396c4dda471ae2dc627e25adfbe1bcf"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a8396c4dda471ae2dc627e25adfbe1bcf">validate_upsample_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml">UpsampleLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a8396c4dda471ae2dc627e25adfbe1bcf"><td class="mdescLeft"> </td><td class="mdescRight">Validates a Upsample layer node. <a href="#a8396c4dda471ae2dc627e25adfbe1bcf">More...</a><br /></td></tr> |
| <tr class="separator:a8396c4dda471ae2dc627e25adfbe1bcf"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7ef4fa6499c747d322a74136249afa6b"><td class="memTemplParams" colspan="2">template<typename YOLOLayer > </td></tr> |
| <tr class="memitem:a7ef4fa6499c747d322a74136249afa6b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7ef4fa6499c747d322a74136249afa6b">validate_yolo_layer</a> (<a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml">YOLOLayerNode</a> &node)</td></tr> |
| <tr class="memdesc:a7ef4fa6499c747d322a74136249afa6b"><td class="mdescLeft"> </td><td class="mdescRight">Validates a YOLO layer node. <a href="#a7ef4fa6499c747d322a74136249afa6b">More...</a><br /></td></tr> |
| <tr class="separator:a7ef4fa6499c747d322a74136249afa6b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:accb27de9ecfd8f932aee9d5702f0fde9"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:accb27de9ecfd8f932aee9d5702f0fde9"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#accb27de9ecfd8f932aee9d5702f0fde9">create_detection_output_layer< CPPDetectionOutputLayer, CLTargetInfo ></a> (<a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> &node)</td></tr> |
| <tr class="separator:accb27de9ecfd8f932aee9d5702f0fde9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af715e29e4f43f012be92dff3ca61004c"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:af715e29e4f43f012be92dff3ca61004c"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#af715e29e4f43f012be92dff3ca61004c">create_detection_post_process_layer< CPPDetectionPostProcessLayer, CLTargetInfo ></a> (<a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> &node)</td></tr> |
| <tr class="separator:af715e29e4f43f012be92dff3ca61004c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5c80e4e51582453953cc94742f25438c"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a5c80e4e51582453953cc94742f25438c"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5c80e4e51582453953cc94742f25438c">create_convolution_layer< GCConvolutionLayerFunctions, GCTargetInfo ></a> (<a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="separator:a5c80e4e51582453953cc94742f25438c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a08ab53b1d15e738a39f29d778a91a512"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a08ab53b1d15e738a39f29d778a91a512"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a08ab53b1d15e738a39f29d778a91a512">create_depthwise_convolution_layer< GCDepthwiseConvolutionLayerFunctions, GCTargetInfo ></a> (<a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> &node)</td></tr> |
| <tr class="separator:a08ab53b1d15e738a39f29d778a91a512"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a863bcac2c361e883edf7f9abb4abd9a7"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a863bcac2c361e883edf7f9abb4abd9a7"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a863bcac2c361e883edf7f9abb4abd9a7">create_eltwise_layer< GCEltwiseFunctions, GCTargetInfo ></a> (<a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">EltwiseLayerNode</a> &node)</td></tr> |
| <tr class="separator:a863bcac2c361e883edf7f9abb4abd9a7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aca9f3683506635cbdffb2c57108910ed"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:aca9f3683506635cbdffb2c57108910ed"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aca9f3683506635cbdffb2c57108910ed">create_convolution_layer< NEConvolutionLayerFunctions, NETargetInfo ></a> (<a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="separator:aca9f3683506635cbdffb2c57108910ed"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab68902cd2bb95bf47f5967718015343c"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ab68902cd2bb95bf47f5967718015343c"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab68902cd2bb95bf47f5967718015343c">create_normalization_layer< NENormalizationLayer, NETargetInfo ></a> (<a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml">NormalizationLayerNode</a> &node, <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &ctx)</td></tr> |
| <tr class="separator:ab68902cd2bb95bf47f5967718015343c"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a id="a0f5afb0ddd5aec3a8e4df3c56d7d91f4"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0f5afb0ddd5aec3a8e4df3c56d7d91f4">◆ </a></span>create_activation_layer()</h2> |
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| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_activation_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml">ActivationLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
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| |
| <p>Creates a backend activation layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ActivationLayerFunction</td><td>Backend activation function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend activation layer function </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00098">98</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> ActivationLayerInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a> = node.activation_info();</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Create function</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<ActivationLayerFunction>();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  func->configure(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  << node.name()</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  << <span class="stringliteral">" Shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  << <span class="stringliteral">" Activation function: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.activation()</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  << <span class="stringliteral">" a: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.a()</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  << <span class="stringliteral">" b: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.b()</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  << <span class="stringliteral">" InPlace : "</span> << <a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a4403f766b0d02eb3882a9521d0390986">is_in_place_operation</a>(input, output)</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  << std::endl);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00175">ConvolutionLayer.cpp:175</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a4403f766b0d02eb3882a9521d0390986"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a4403f766b0d02eb3882a9521d0390986">arm_compute::graph::backends::is_in_place_operation</a></div><div class="ttdeci">bool is_in_place_operation(void *input, void *output)</div><div class="ttdoc">Checks if an operation is in place.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00076">Utils.h:76</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00175">arm_compute::test::validation::act_info</a>, <a class="el" href="_activation_layer_node_8cpp_source.xhtml#l00040">ActivationLayerNode::activation_info()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00076">arm_compute::graph::backends::is_in_place_operation()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_activation_layer_node_8cpp_source.xhtml#l00074">ActivationLayerNode::type()</a>.</p> |
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| </div> |
| <a id="a5d1a73ab4a0b267033a569c46813b9d5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5d1a73ab4a0b267033a569c46813b9d5">◆ </a></span>create_batch_normalization_layer()</h2> |
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| <table class="memname"> |
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| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_batch_normalization_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml">BatchNormalizationLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend batch normalization layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">BatchNormalizationLayerFunction</td><td>Backend batch normalization function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend batch normalization layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00136">136</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  validate_node<TargetInfo>(node, 5 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">typename</span> TargetInfo::TensorType *mean = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">typename</span> TargetInfo::TensorType *var = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">typename</span> TargetInfo::TensorType *beta = get_backing_tensor<TargetInfo>(node.input(3));</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">typename</span> TargetInfo::TensorType *gamma = get_backing_tensor<TargetInfo>(node.input(4));</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a> = node.epsilon();</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<BatchNormalizationLayerFunction>();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  func->configure(input, output, mean, var, beta, gamma, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, fused_act);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  << node.name()</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  << <span class="stringliteral">" Shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  << <span class="stringliteral">" Epsilon: "</span> << <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a> << <span class="stringliteral">" "</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  << (fused_act.enabled() ? <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  << <span class="stringliteral">" InPlace: "</span> << <a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a4403f766b0d02eb3882a9521d0390986">is_in_place_operation</a>(input, output)</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  << std::endl);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a4403f766b0d02eb3882a9521d0390986"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a4403f766b0d02eb3882a9521d0390986">arm_compute::graph::backends::is_in_place_operation</a></div><div class="ttdeci">bool is_in_place_operation(void *input, void *output)</div><div class="ttdoc">Checks if an operation is in place.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00076">Utils.h:76</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00033">epsilon</a>, <a class="el" href="_batch_normalization_layer_node_8cpp_source.xhtml#l00041">BatchNormalizationLayerNode::epsilon()</a>, <a class="el" href="_batch_normalization_layer_node_8cpp_source.xhtml#l00046">BatchNormalizationLayerNode::fused_activation()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00076">arm_compute::graph::backends::is_in_place_operation()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, and <a class="el" href="_batch_normalization_layer_node_8cpp_source.xhtml#l00079">BatchNormalizationLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="ab3787ac008a709edda8d347370bbad61"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab3787ac008a709edda8d347370bbad61">◆ </a></span>create_bounding_box_transform_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_bounding_box_transform_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml">BoundingBoxTransformLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Create a backend bounding box transform layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">BoundingBoxTransformLayerFunction</td><td>Backend bounding box transform function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend bounding box transform layer function </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00277">277</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> {</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  validate_node<TargetInfo>(node, 2 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">typename</span> TargetInfo::TensorType *deltas = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keyword">const</span> BoundingBoxTransformInfo bbox_info = node.info();</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<BoundingBoxTransformLayerFunction>();</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  func->configure(input, output, deltas, bbox_info);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  << node.name()</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  << <span class="stringliteral">" Shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  << <span class="stringliteral">" BoundingBox Info img W: "</span> << bbox_info.img_width() << <span class="stringliteral">" "</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  << <span class="stringliteral">" BoundingBox Info img H: "</span> << bbox_info.img_height() << <span class="stringliteral">" "</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  << std::endl);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> }</div><div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_bounding_box_transform_layer_node_8cpp_source.xhtml#l00042">BoundingBoxTransformLayerNode::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_bounding_box_transform_layer_node_8cpp_source.xhtml#l00071">BoundingBoxTransformLayerNode::type()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a3f5c14020836599056281fe52d7e9dd3">◆ </a></span>create_channel_shuffle_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_channel_shuffle_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml">ChannelShuffleLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Create a backend channel shuffle layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ChannelShuffleLayerFunction</td><td>Backend channel shuffle function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend channel shuffle layer function </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00315">315</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> {</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = node.num_groups();</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="comment">// Create function</span></div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<ChannelShuffleLayerFunction>();</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  func->configure(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  << node.name()</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  << <span class="stringliteral">" Shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  << <span class="stringliteral">" Num groups: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  << std::endl);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> }</div><div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_channel_shuffle_layer_node_8cpp_source.xhtml#l00040">ChannelShuffleLayerNode::num_groups()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">arm_compute::test::validation::num_groups</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_channel_shuffle_layer_node_8cpp_source.xhtml#l00068">ChannelShuffleLayerNode::type()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a627f6bdc4a7de6dbb03acb3d8b3a4d6d">◆ </a></span>create_concatenate_layer()</h2> |
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| <div class="memitem"> |
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| <table class="memname"> |
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| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a>> arm_compute::graph::backends::detail::create_concatenate_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml">ConcatenateLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
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| </div><div class="memdoc"> |
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| <p>Create a backend layer concatenate function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ConcatenateLayerFunction</td><td>Backend concatenate function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend concatenate layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00350">350</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Creating Concatenate node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// Return nullptr if depth concatenate is switched off</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span>(!node.is_enabled())</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  std::vector<typename TargetInfo::TensorType *> inputs;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < node.num_inputs(); ++i)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  inputs.push_back(get_backing_tensor<TargetInfo>(node.input(i)));</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  }</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a> = node.output(0) != <span class="keyword">nullptr</span> ? node.output(0)->desc().layout : DataLayout::UNKNOWN;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> concat_axis = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>, node.concatenation_axis());</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<ConcatenateLayerFunction>();</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  func->configure(inputs, output, concat_axis);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_quantized = <a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(output->info()->data_type());</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  std::ostringstream qss;</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  qss << <span class="stringliteral">" Output QuantInfo: "</span> << output->info()->quantization_info();</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  << node.name()</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  << <span class="stringliteral">" Data Type: "</span> << output->info()->data_type()</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  << <span class="stringliteral">" Shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  << <span class="stringliteral">" Num Inputs: "</span> << inputs.size()</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  << <span class="stringliteral">" Axis: "</span> << concat_axis</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  << qss.str()</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  << std::endl);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a1df15aed3ed531f442ecea2a131d65a4"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">arm_compute::graph::get_dimension_idx</a></div><div class="ttdeci">size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get index of a tensor's given dimension depending on its layout.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00125">Utils.cpp:125</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_concatenate_layer_node_8cpp_source.xhtml#l00054">ConcatenateLayerNode::concatenation_axis()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">arm_compute::test::validation::data_layout</a>, <a class="el" href="graph_2_tensor_8cpp_source.xhtml#l00040">Tensor::desc()</a>, <a class="el" href="src_2graph_2_utils_8cpp_source.xhtml#l00125">arm_compute::graph::get_dimension_idx()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_concatenate_layer_node_8cpp_source.xhtml#l00049">ConcatenateLayerNode::is_enabled()</a>, <a class="el" href="_tensor_descriptor_8h_source.xhtml#l00111">TensorDescriptor::layout</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_concatenate_layer_node_8cpp_source.xhtml#l00130">ConcatenateLayerNode::type()</a>, and <a class="el" href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">arm_compute::UNKNOWN</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a9e38014fa1e7e08dcbf3b5f8c3bdb81e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9e38014fa1e7e08dcbf3b5f8c3bdb81e">◆ </a></span>create_convolution_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_convolution_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend convolution layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ConvolutionLayerFunctions</td><td>Backend convolution functions </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend convolution layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00407">407</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> {</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keyword">typename</span> TargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keyword">typename</span> TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_quantized = <a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input->info()->data_type());</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  {</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  biases->info()->set_data_type(DataType::S32);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  }</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = node.num_groups();</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> conv_algorithm = node.convolution_method();</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> fast_math = node.fast_math_hint() == FastMathHint::Enabled;</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// Create and configure function (we assume that functions have been validated before creation)</span></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  std::shared_ptr<IMemoryManager> mm = <a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, TargetInfo::TargetType);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  std::unique_ptr<IFunction> func;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  std::string func_name;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">if</span>(conv_algorithm == ConvolutionMethod::Winograd)</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  {</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> != 1, <span class="stringliteral">"WinogradConvolutionLayer does not support grouping!"</span>);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  std::tie(func, func_name) = create_named_memory_managed_function<typename ConvolutionLayerFunctions::WinogradConvolutionLayer>(</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  std::string(<span class="stringliteral">"WinogradConvolutionLayer"</span>), mm,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, fused_act, fast_math);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  }</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(conv_algorithm == ConvolutionMethod::Direct)</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  {</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> != 1, <span class="stringliteral">"DirectConvolutionLayer does not support grouping!"</span>);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  std::tie(func, func_name) = create_named_function<typename ConvolutionLayerFunctions::DirectConvolutionLayer>(</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  std::string(<span class="stringliteral">"DirectConvolutionLayer"</span>),</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, fused_act);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(conv_algorithm == ConvolutionMethod::GEMM)</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  {</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  std::tie(func, func_name) = create_named_memory_managed_function<typename ConvolutionLayerFunctions::GEMMConvolutionLayer>(</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  std::string(<span class="stringliteral">"GEMMConvolutionLayer"</span>), mm,</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  WeightsInfo(), Size2D(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), fused_act, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  }</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  std::tie(func, func_name) = create_named_memory_managed_function<typename ConvolutionLayerFunctions::GenericConvolutionLayer>(</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  std::string(<span class="stringliteral">"GenericConvolutionLayer"</span>), mm,</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  WeightsInfo(), Size2D(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), fused_act, fast_math, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  std::ostringstream qss;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  {</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  qss << <span class="stringliteral">" Input QuantInfo: "</span> << input->info()->quantization_info()</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  << <span class="stringliteral">" Weights QuantInfo: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  << <span class="stringliteral">" Output QuantInfo: "</span> << output->info()->quantization_info();</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  }</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  << node.name()</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  << <span class="stringliteral">" Type: "</span> << func_name</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  << <span class="stringliteral">" Groups: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  << qss.str()</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  << (fused_act.enabled() ? <span class="stringliteral">" "</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  << std::endl);</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00293">TensorInfo.h:293</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a683661ae75dcb7aef16b9c9bde31517d"><div class="ttname"><a href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">arm_compute::ConvolutionMethod</a></div><div class="ttdeci">ConvolutionMethod</div><div class="ttdoc">Available ConvolutionMethod.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00132">Types.h:132</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_1_1cast_xhtml_a2ea3d1fc01a3a442900249ca182ffa5e"><div class="ttname"><a href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">arm_compute::utils::cast::U</a></div><div class="ttdeci">U</div><div class="ttdef"><b>Definition:</b> <a href="_saturate_cast_8h_source.xhtml#l00057">SaturateCast.h:57</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="_error_8h_source.xhtml#l00328">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00066">ConvolutionLayerNode::convolution_info()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00051">ConvolutionLayerNode::convolution_method()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517dafd1dd0c603be8170f9eae0be9f2f6afb">arm_compute::graph::Direct</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32">arm_compute::graph::Enabled</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00061">ConvolutionLayerNode::fast_math_hint()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00076">ConvolutionLayerNode::fused_activation()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">arm_compute::graph::GEMM</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00071">ConvolutionLayerNode::num_groups()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">arm_compute::test::validation::num_groups</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00293">TensorInfo::quantization_info()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>, and <a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da09db1dd1078ec6bdbe2722b4558e578f">arm_compute::graph::Winograd</a>.</p> |
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| </div> |
| <a id="a5c80e4e51582453953cc94742f25438c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5c80e4e51582453953cc94742f25438c">◆ </a></span>create_convolution_layer< GCConvolutionLayerFunctions, GCTargetInfo >()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> <a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9e38014fa1e7e08dcbf3b5f8c3bdb81e">arm_compute::graph::backends::detail::create_convolution_layer</a>< GCConvolutionLayerFunctions, GCTargetInfo > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
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| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml#l00072">72</a> of file <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml">GCFunctionsFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  validate_node<GCTargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  GCTargetInfo::TensorType *input = get_backing_tensor<GCTargetInfo>(node.input(0));</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  GCTargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<GCTargetInfo>(node.input(1));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  GCTargetInfo::TensorType *biases = get_backing_tensor<GCTargetInfo>(node.input(2));</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  GCTargetInfo::TensorType *output = get_backing_tensor<GCTargetInfo>(node.output(0));</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input->info()->data_type()))</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  biases-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a0a9053e6c4729ac5201b58068050c319">set_data_type</a>(DataType::S32);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> conv_algorithm = node.convolution_method();</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Create and configure function (we assume that functions have been validated before creation)</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  std::shared_ptr<IMemoryManager> mm = <a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, GCTargetInfo::TargetType);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::unique_ptr<IFunction> func;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::string func_name;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">if</span>(conv_algorithm == ConvolutionMethod::Direct)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  std::tie(func, func_name) = create_named_function<GCConvolutionLayerFunctions::DirectConvolutionLayer>(</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::string(<span class="stringliteral">"DirectConvolutionLayer"</span>),</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, fused_act);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  std::tie(func, func_name) = create_named_memory_managed_function<GCConvolutionLayerFunctions::GenericConvolutionLayer>(</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  std::string(<span class="stringliteral">"ConvolutionLayer"</span>), mm,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, WeightsInfo(), Size2D(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), fused_act);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  << node.name()</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  << <span class="stringliteral">" Type: "</span> << func_name</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  << <span class="stringliteral">" Input QuantInfo: "</span> << input->info()->quantization_info()</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  << <span class="stringliteral">" Weights QuantInfo: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  << (fused_act.enabled() ? <span class="stringliteral">" "</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  << std::endl);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00293">TensorInfo.h:293</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a0a9053e6c4729ac5201b58068050c319"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a0a9053e6c4729ac5201b58068050c319">arm_compute::TensorInfo::set_data_type</a></div><div class="ttdeci">ITensorInfo & set_data_type(DataType data_type) override</div><div class="ttdoc">Set the data type to the specified value.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_tensor_info_8cpp_source.xhtml#l00311">TensorInfo.cpp:311</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a683661ae75dcb7aef16b9c9bde31517d"><div class="ttname"><a href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">arm_compute::ConvolutionMethod</a></div><div class="ttdeci">ConvolutionMethod</div><div class="ttdoc">Available ConvolutionMethod.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00132">Types.h:132</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_1_1cast_xhtml_a2ea3d1fc01a3a442900249ca182ffa5e"><div class="ttname"><a href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">arm_compute::utils::cast::U</a></div><div class="ttdeci">U</div><div class="ttdef"><b>Definition:</b> <a href="_saturate_cast_8h_source.xhtml#l00057">SaturateCast.h:57</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00066">ConvolutionLayerNode::convolution_info()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00051">ConvolutionLayerNode::convolution_method()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00076">ConvolutionLayerNode::fused_activation()</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">ITensorInfo::quantization_info()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00293">TensorInfo::quantization_info()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">ITensorInfo::set_data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, <a class="el" href="_saturate_cast_8h_source.xhtml#l00057">arm_compute::utils::cast::U</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml#l00231">GCFunctionFactory::create()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="aca9f3683506635cbdffb2c57108910ed"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aca9f3683506635cbdffb2c57108910ed">◆ </a></span>create_convolution_layer< NEConvolutionLayerFunctions, NETargetInfo >()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> <a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9e38014fa1e7e08dcbf3b5f8c3bdb81e">arm_compute::graph::backends::detail::create_convolution_layer</a>< NEConvolutionLayerFunctions, NETargetInfo > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_function_factory_8cpp_source.xhtml#l00092">92</a> of file <a class="el" href="_n_e_function_factory_8cpp_source.xhtml">NEFunctionFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  validate_node<NETargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  NETargetInfo::TensorType *input = get_backing_tensor<NETargetInfo>(node.input(0));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  NETargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<NETargetInfo>(node.input(1));</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  NETargetInfo::TensorType *biases = get_backing_tensor<NETargetInfo>(node.input(2));</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  NETargetInfo::TensorType *output = get_backing_tensor<NETargetInfo>(node.output(0));</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_quantized = <a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input->info()->data_type());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  biases->info()->set_data_type(DataType::S32);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> conv_algorithm = node.convolution_method();</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Create and configure function (we assume that functions have been validated before creation)</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::shared_ptr<IMemoryManager> mm = <a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, Target::NEON);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::unique_ptr<IFunction> func;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  std::string func_name;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span>(conv_algorithm == ConvolutionMethod::Direct)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  std::tie(func, func_name) = create_named_memory_managed_function<NEDirectConvolutionLayer>(</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::string(<span class="stringliteral">"DirectConvolutionLayer"</span>), mm, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, fused_act);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(conv_algorithm == ConvolutionMethod::GEMM)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  std::tie(func, func_name) = create_named_memory_managed_function<NEGEMMConvolutionLayer>(</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  std::string(<span class="stringliteral">"GEMMConvolutionLayer"</span>), mm, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, WeightsInfo(), Size2D(1, 1), fused_act);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(conv_algorithm == ConvolutionMethod::Winograd)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  std::tie(func, func_name) = create_named_memory_managed_function<NEWinogradConvolutionLayer>(</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  std::string(<span class="stringliteral">"WinogradConvolutionLayer"</span>), mm, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, fused_act);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  std::tie(func, func_name) = create_named_memory_managed_function<NEConvolutionLayer>(</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  std::string(<span class="stringliteral">"ConvolutionLayer"</span>), mm, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, WeightsInfo(), Size2D(1, 1), fused_act);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::ostringstream qss;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  qss << <span class="stringliteral">" Input QuantInfo: "</span> << input->info()->quantization_info()</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  << <span class="stringliteral">" Weights QuantInfo: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  << <span class="stringliteral">" Output QuantInfo: "</span> << output->info()->quantization_info();</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  << node.name()</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  << <span class="stringliteral">" Type: "</span> << func_name</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  << <span class="stringliteral">" Target: "</span> << NETargetInfo::TargetType</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  << qss.str()</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  << (fused_act.enabled() ? <span class="stringliteral">" "</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  << std::endl);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00293">TensorInfo.h:293</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a683661ae75dcb7aef16b9c9bde31517d"><div class="ttname"><a href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">arm_compute::ConvolutionMethod</a></div><div class="ttdeci">ConvolutionMethod</div><div class="ttdoc">Available ConvolutionMethod.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00132">Types.h:132</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00066">ConvolutionLayerNode::convolution_info()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00051">ConvolutionLayerNode::convolution_method()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00076">ConvolutionLayerNode::fused_activation()</a>, <a class="el" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">arm_compute::GEMM</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">ITensorInfo::quantization_info()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00293">TensorInfo::quantization_info()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_function_factory_8cpp_source.xhtml#l00192">NEFunctionFactory::create()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ac77fa3bf0d7d7c3fde6243192f93f380"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac77fa3bf0d7d7c3fde6243192f93f380">◆ </a></span>create_deconvolution_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_deconvolution_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml">DeconvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend deconvolution layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">DeconvolutionLayerFunction</td><td>Backend deconvolution function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend deconvolution layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00498">498</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> {</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keyword">typename</span> TargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keyword">typename</span> TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">const</span> PadStrideInfo deconv_info = node.deconvolution_info();</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// Create and configure function (we assume that functions have been validated before creation)</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  std::shared_ptr<IMemoryManager> mm = <a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, TargetInfo::TargetType);</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  std::unique_ptr<IFunction> func;</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  std::tie(func, std::ignore) = create_named_memory_managed_function<DeconvolutionLayerFunction>(</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  std::string(), mm,</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, deconv_info);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  << node.name()</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  << std::endl);</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_deconvolution_layer_node_8cpp_source.xhtml#l00042">DeconvolutionLayerNode::deconvolution_info()</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="_deconvolution_layer_node_8cpp_source.xhtml#l00097">DeconvolutionLayerNode::type()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
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| </div> |
| </div> |
| <a id="ab8ff2a40f95b76ec10ac2a98d1a8d594"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab8ff2a40f95b76ec10ac2a98d1a8d594">◆ </a></span>create_depthwise_convolution_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_depthwise_convolution_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend layer depth-wise convolution function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">DepthwiseConvolutionLayerFunctions</td><td>Backend depthwise convolution function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend depth-wise convolution layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00541">541</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> {</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">typename</span> TargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keyword">typename</span> TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_quantized = <a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input->info()->data_type());</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> </div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  {</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  biases->info()->set_data_type(DataType::S32);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  }</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> dwc_algorithm = node.depthwise_convolution_method();</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth_multiplier = node.depth_multiplier();</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="comment">// Create and configure function (we assume that functions have been validated before creation)</span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  std::unique_ptr<IFunction> func;</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  std::string func_name;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keywordflow">if</span>(dwc_algorithm == DepthwiseConvolutionMethod::Optimized3x3)</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  {</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  std::tie(func, func_name) = create_named_function<typename DepthwiseConvolutionLayerFunctions::OptimizedDepthwiseConvolutionLayer>(</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  std::string(<span class="stringliteral">"DepthwiseConvolutionLayer3x3"</span>),</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, fused_act);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  {</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  std::tie(func, func_name) = create_named_function<typename DepthwiseConvolutionLayerFunctions::GenericDepthwiseConvolutionLayer>(</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  std::string(<span class="stringliteral">"DepthwiseConvolutionLayer"</span>),</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, fused_act);</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  }</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  std::ostringstream qss;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  {</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  qss << <span class="stringliteral">" Input QuantInfo: "</span> << input->info()->quantization_info()</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  << <span class="stringliteral">" Weights QuantInfo: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  << <span class="stringliteral">" Output QuantInfo: "</span> << output->info()->quantization_info();</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  << node.name()</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  << <span class="stringliteral">" Type: "</span> << func_name</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  << <span class="stringliteral">" Depth multiplier: "</span> << depth_multiplier</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  << qss.str()</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  << (fused_act.enabled() ? <span class="stringliteral">" "</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  << std::endl);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00293">TensorInfo.h:293</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">arm_compute::graph::DepthwiseConvolutionMethod</a></div><div class="ttdeci">DepthwiseConvolutionMethod</div><div class="ttdoc">Supported Depthwise Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00115">Types.h:115</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
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| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00058">DepthwiseConvolutionLayerNode::convolution_info()</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00043">DepthwiseConvolutionLayerNode::depth_multiplier()</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00053">DepthwiseConvolutionLayerNode::depthwise_convolution_method()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00063">DepthwiseConvolutionLayerNode::fused_activation()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938">arm_compute::graph::Optimized3x3</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00293">TensorInfo::quantization_info()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a08ab53b1d15e738a39f29d778a91a512">◆ </a></span>create_depthwise_convolution_layer< GCDepthwiseConvolutionLayerFunctions, GCTargetInfo >()</h2> |
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| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> <a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab8ff2a40f95b76ec10ac2a98d1a8d594">arm_compute::graph::backends::detail::create_depthwise_convolution_layer</a>< GCDepthwiseConvolutionLayerFunctions, GCTargetInfo > </td> |
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| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml#l00125">125</a> of file <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml">GCFunctionsFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  validate_node<GCTargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  GCTargetInfo::TensorType *input = get_backing_tensor<GCTargetInfo>(node.input(0));</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  GCTargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<GCTargetInfo>(node.input(1));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  GCTargetInfo::TensorType *biases = get_backing_tensor<GCTargetInfo>(node.input(2));</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  GCTargetInfo::TensorType *output = get_backing_tensor<GCTargetInfo>(node.output(0));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input->info()->data_type()))</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  biases-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a0a9053e6c4729ac5201b58068050c319">set_data_type</a>(DataType::S32);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> dwc_algorithm = node.depthwise_convolution_method();</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> depth_multiplier = node.depth_multiplier();</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Create and configure function (we assume that functions have been validated before creation)</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  std::unique_ptr<IFunction> func;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::string func_name;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span>(dwc_algorithm == DepthwiseConvolutionMethod::Optimized3x3)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::tie(func, func_name) = create_named_function<GCDepthwiseConvolutionLayerFunctions::DepthwiseConvolutionLayer3x3>(</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  std::string(<span class="stringliteral">"DepthwiseConvolutionLayer3x3"</span>),</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, fused_act);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Generic DepthwiseConvolutionLayer is not supported in GLES backend"</span>);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  << node.name()</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  << <span class="stringliteral">" Type: "</span> << func_name</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  << <span class="stringliteral">" Target "</span> << GCTargetInfo::TargetType</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  << <span class="stringliteral">" Input QuantInfo: "</span> << input->info()->quantization_info()</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  << <span class="stringliteral">" Weights QuantInfo: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  << <span class="stringliteral">" Depth multiplier: "</span> << depth_multiplier</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  << (fused_act.enabled() ? <span class="stringliteral">" "</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  << std::endl);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> }</div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00261">Error.h:261</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00293">TensorInfo.h:293</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a0a9053e6c4729ac5201b58068050c319"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a0a9053e6c4729ac5201b58068050c319">arm_compute::TensorInfo::set_data_type</a></div><div class="ttdeci">ITensorInfo & set_data_type(DataType data_type) override</div><div class="ttdoc">Set the data type to the specified value.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_tensor_info_8cpp_source.xhtml#l00311">TensorInfo.cpp:311</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">arm_compute::graph::DepthwiseConvolutionMethod</a></div><div class="ttdeci">DepthwiseConvolutionMethod</div><div class="ttdoc">Supported Depthwise Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00115">Types.h:115</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="_error_8h_source.xhtml#l00261">ARM_COMPUTE_ERROR</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00058">DepthwiseConvolutionLayerNode::convolution_info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00043">DepthwiseConvolutionLayerNode::depth_multiplier()</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00053">DepthwiseConvolutionLayerNode::depthwise_convolution_method()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00063">DepthwiseConvolutionLayerNode::fused_activation()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">ITensorInfo::quantization_info()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00293">TensorInfo::quantization_info()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">ITensorInfo::set_data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml#l00231">GCFunctionFactory::create()</a>.</p> |
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| </div> |
| </div> |
| <a id="afce1d2d783bb97a3a8c3c406c8cf6b9c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afce1d2d783bb97a3a8c3c406c8cf6b9c">◆ </a></span>create_detection_output_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_detection_output_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
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| <p>Create a backend detection output layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">DetectionOutputLayer</td><td>Function Backend detection output function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend detection output layer function </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00612">612</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> {</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span> </div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input0 = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input1 = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input2 = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> DetectionOutputLayerInfo detect_info = node.detection_output_info();</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> </div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<DetectionOutputLayerFunction>();</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  func->configure(input0, input1, input2, output, detect_info);</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> </div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  << node.name()</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  << <span class="stringliteral">" Data Type: "</span> << input0->info()->data_type()</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  << <span class="stringliteral">" Input0 shape: "</span> << input0->info()->tensor_shape()</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  << <span class="stringliteral">" Input1 shape: "</span> << input1->info()->tensor_shape()</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  << <span class="stringliteral">" Input2 shape: "</span> << input2->info()->tensor_shape()</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  << <span class="stringliteral">" DetectionOutputLayer info: "</span> << detect_info</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  << std::endl);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_detection_output_layer_node_8cpp_source.xhtml#l00042">DetectionOutputLayerNode::detection_output_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_detection_output_layer_node_8cpp_source.xhtml#l00082">DetectionOutputLayerNode::type()</a>.</p> |
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| <a id="accb27de9ecfd8f932aee9d5702f0fde9"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#accb27de9ecfd8f932aee9d5702f0fde9">◆ </a></span>create_detection_output_layer< CPPDetectionOutputLayer, CLTargetInfo >()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> <a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#afce1d2d783bb97a3a8c3c406c8cf6b9c">arm_compute::graph::backends::detail::create_detection_output_layer</a>< <a class="el" href="classarm__compute_1_1_c_p_p_detection_output_layer.xhtml">CPPDetectionOutputLayer</a>, CLTargetInfo > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_c_l_functions_factory_8cpp_source.xhtml#l00126">126</a> of file <a class="el" href="_c_l_functions_factory_8cpp_source.xhtml">CLFunctionsFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  validate_node<CLTargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  CLTargetInfo::TensorType *input0 = get_backing_tensor<CLTargetInfo>(node.input(0));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  CLTargetInfo::TensorType *input1 = get_backing_tensor<CLTargetInfo>(node.input(1));</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  CLTargetInfo::TensorType *input2 = get_backing_tensor<CLTargetInfo>(node.input(2));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  CLTargetInfo::TensorType *output = get_backing_tensor<CLTargetInfo>(node.output(0));</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> DetectionOutputLayerInfo detect_info = node.detection_output_info();</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<CPPDetectionOutputLayer>();</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  func->configure(input0, input1, input2, output, detect_info);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  << node.name()</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  << <span class="stringliteral">" Target: "</span> << CLTargetInfo::TargetType</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  << <span class="stringliteral">" Data Type: "</span> << input0->info()->data_type()</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  << <span class="stringliteral">" Input0 shape: "</span> << input0->info()->tensor_shape()</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  << <span class="stringliteral">" Input1 shape: "</span> << input1->info()->tensor_shape()</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  << <span class="stringliteral">" Input2 shape: "</span> << input2->info()->tensor_shape()</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  << <span class="stringliteral">" DetectionOutputLayer info: "</span> << detect_info</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  << std::endl);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">auto</span> wrap_function = support::cpp14::make_unique<CPPWrapperFunction>();</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  ;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  wrap_function->register_function(std::move(func));</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  wrap_function->register_tensor(input0);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  wrap_function->register_tensor(input1);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  wrap_function->register_tensor(input2);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  wrap_function->register_tensor(output);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> std::move(wrap_function);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
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| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="_detection_output_layer_node_8cpp_source.xhtml#l00042">DetectionOutputLayerNode::detection_output_info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, and <a class="el" href="_detection_output_layer_node_8cpp_source.xhtml#l00082">DetectionOutputLayerNode::type()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_c_l_functions_factory_8cpp_source.xhtml#l00227">CLFunctionFactory::create()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a2dbe319a9ac9b6820b2ef5eff8c46ddc">◆ </a></span>create_detection_post_process_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_detection_post_process_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend detection post process layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">DetectionPostProcessLayerFunction</td><td>Backend detection output function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend detection post process layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00658">658</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00659"></a><span class="lineno"> 659</span> {</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 4 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input0 = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input1 = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input2 = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output0 = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output1 = get_backing_tensor<TargetInfo>(node.output(1));</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output2 = get_backing_tensor<TargetInfo>(node.output(2));</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output3 = get_backing_tensor<TargetInfo>(node.output(3));</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keyword">const</span> DetectionPostProcessLayerInfo detect_info = node.detection_post_process_info();</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output3 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> </div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<DetectionPostProcessLayerFunction>();</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  func->configure(input0, input1, input2, output0, output1, output2, output3, detect_info);</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> </div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  << node.name()</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  << <span class="stringliteral">" Data Type: "</span> << input0->info()->data_type()</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  << <span class="stringliteral">" Input0 shape: "</span> << input0->info()->tensor_shape()</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  << <span class="stringliteral">" Input1 shape: "</span> << input1->info()->tensor_shape()</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  << <span class="stringliteral">" Input2 shape: "</span> << input2->info()->tensor_shape()</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  << <span class="stringliteral">" Output0 shape: "</span> << output0->info()->tensor_shape()</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  << <span class="stringliteral">" Output1 shape: "</span> << output1->info()->tensor_shape()</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  << <span class="stringliteral">" Output2 shape: "</span> << output2->info()->tensor_shape()</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  << <span class="stringliteral">" Output3 shape: "</span> << output3->info()->tensor_shape()</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  << <span class="stringliteral">" DetectionPostProcessLayer info: "</span> << detect_info</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  << std::endl);</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> </div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_detection_post_process_layer_node_8cpp_source.xhtml#l00042">DetectionPostProcessLayerNode::detection_post_process_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_detection_post_process_layer_node_8cpp_source.xhtml#l00094">DetectionPostProcessLayerNode::type()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="af715e29e4f43f012be92dff3ca61004c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af715e29e4f43f012be92dff3ca61004c">◆ </a></span>create_detection_post_process_layer< CPPDetectionPostProcessLayer, CLTargetInfo >()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> <a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dbe319a9ac9b6820b2ef5eff8c46ddc">arm_compute::graph::backends::detail::create_detection_post_process_layer</a>< <a class="el" href="classarm__compute_1_1_c_p_p_detection_post_process_layer.xhtml">CPPDetectionPostProcessLayer</a>, CLTargetInfo > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_l_functions_factory_8cpp_source.xhtml#l00170">170</a> of file <a class="el" href="_c_l_functions_factory_8cpp_source.xhtml">CLFunctionsFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  validate_node<CLTargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 4 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  CLTargetInfo::TensorType *input0 = get_backing_tensor<CLTargetInfo>(node.input(0));</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  CLTargetInfo::TensorType *input1 = get_backing_tensor<CLTargetInfo>(node.input(1));</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  CLTargetInfo::TensorType *input2 = get_backing_tensor<CLTargetInfo>(node.input(2));</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  CLTargetInfo::TensorType *output0 = get_backing_tensor<CLTargetInfo>(node.output(0));</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  CLTargetInfo::TensorType *output1 = get_backing_tensor<CLTargetInfo>(node.output(1));</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  CLTargetInfo::TensorType *output2 = get_backing_tensor<CLTargetInfo>(node.output(2));</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  CLTargetInfo::TensorType *output3 = get_backing_tensor<CLTargetInfo>(node.output(3));</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> DetectionPostProcessLayerInfo detect_info = node.detection_post_process_info();</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output3 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<CPPDetectionPostProcessLayer>();</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  func->configure(input0, input1, input2, output0, output1, output2, output3, detect_info);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  << node.name()</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  << <span class="stringliteral">" Target: "</span> << CLTargetInfo::TargetType</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  << <span class="stringliteral">" Data Type: "</span> << input0->info()->data_type()</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  << <span class="stringliteral">" Input0 shape: "</span> << input0->info()->tensor_shape()</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  << <span class="stringliteral">" Input1 shape: "</span> << input1->info()->tensor_shape()</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  << <span class="stringliteral">" Input2 shape: "</span> << input2->info()->tensor_shape()</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  << <span class="stringliteral">" Output0 shape: "</span> << output0->info()->tensor_shape()</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  << <span class="stringliteral">" Output1 shape: "</span> << output1->info()->tensor_shape()</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  << <span class="stringliteral">" Output2 shape: "</span> << output2->info()->tensor_shape()</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  << <span class="stringliteral">" Output3 shape: "</span> << output3->info()->tensor_shape()</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  << <span class="stringliteral">" DetectionPostProcessLayer info: "</span> << detect_info</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  << std::endl);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">auto</span> wrap_function = support::cpp14::make_unique<CPPWrapperFunction>();</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  wrap_function->register_function(std::move(func));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  wrap_function->register_tensor(input0);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  wrap_function->register_tensor(input1);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  wrap_function->register_tensor(input2);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  wrap_function->register_tensor(output0);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  wrap_function->register_tensor(output1);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  wrap_function->register_tensor(output2);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  wrap_function->register_tensor(output3);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">return</span> std::move(wrap_function);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="_detection_post_process_layer_node_8cpp_source.xhtml#l00042">DetectionPostProcessLayerNode::detection_post_process_info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, and <a class="el" href="_detection_post_process_layer_node_8cpp_source.xhtml#l00094">DetectionPostProcessLayerNode::type()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_functions_factory_8cpp_source.xhtml#l00227">CLFunctionFactory::create()</a>.</p> |
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| </div> |
| </div> |
| <a id="aa37faf92f78c0f5cefe2d43c8bf07f18"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa37faf92f78c0f5cefe2d43c8bf07f18">◆ </a></span>create_eltwise_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_eltwise_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">EltwiseLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Create a backend element-wise operation layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">EltwiseFunctions</td><td>Backend element-wise function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend element-wise operation layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00713">713</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> {</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  validate_node<TargetInfo>(node, 2 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> </div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input1 = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input2 = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4">EltwiseOperation</a> eltwise_op = node.eltwise_operation();</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">convert_policy</a> = node.convert_policy();</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> </div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  std::unique_ptr<IFunction> func = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  std::string func_name;</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="keywordflow">if</span>(eltwise_op == EltwiseOperation::Add)</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  {</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  std::tie(func, func_name) = create_named_function<typename EltwiseFunctions::Addition>(</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  std::string(<span class="stringliteral">"ArithmeticAddition"</span>),</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  input1, input2, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">convert_policy</a>);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  }</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(eltwise_op == EltwiseOperation::Sub)</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  {</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  std::tie(func, func_name) = create_named_function<typename EltwiseFunctions::Subtraction>(</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  std::string(<span class="stringliteral">"ArithmeticSubtraction"</span>),</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  input1, input2, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">convert_policy</a>);</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  }</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(eltwise_op == EltwiseOperation::Mul)</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  {</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  std::tie(func, func_name) = create_named_function<typename EltwiseFunctions::Multiplication>(</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  std::string(<span class="stringliteral">"PixelWiseMultiplication"</span>),</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  input1, input2, output, 1.f, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">convert_policy</a>, node.rounding_policy());</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  }</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  {</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported element-wise operation!"</span>);</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  }</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> </div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  << node.name()</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  << <span class="stringliteral">" Operation: "</span> << func_name</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  << <span class="stringliteral">" Data Type: "</span> << input1->info()->data_type()</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  << <span class="stringliteral">" Shape: "</span> << input1->info()->tensor_shape()</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  << std::endl);</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> </div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> }</div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00261">Error.h:261</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa12973876c037bddff8e9ece94aca0e4"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4">arm_compute::graph::EltwiseOperation</a></div><div class="ttdeci">EltwiseOperation</div><div class="ttdoc">Supported Element-wise operations.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00098">Types.h:98</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5d58c32bff63e4c34b3234f884a4da58"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">arm_compute::test::validation::convert_policy</a></div><div class="ttdeci">convert_policy</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a82b8ac759c804bc1fb4e2d21e178fb6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">arm_compute::ConvertPolicy</a></div><div class="ttdeci">ConvertPolicy</div><div class="ttdoc">Policy to handle overflow.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00349">Types.h:349</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9">arm_compute::graph::Add</a>, <a class="el" href="_error_8h_source.xhtml#l00261">ARM_COMPUTE_ERROR</a>, <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_eltwise_layer_node_8cpp_source.xhtml#l00045">EltwiseLayerNode::convert_policy()</a>, <a class="el" href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">arm_compute::test::validation::convert_policy</a>, <a class="el" href="_eltwise_layer_node_8cpp_source.xhtml#l00040">EltwiseLayerNode::eltwise_operation()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4a62b6d55816cf737bfc6f42e60df1a3f2">arm_compute::graph::Mul</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_eltwise_layer_node_8cpp_source.xhtml#l00050">EltwiseLayerNode::rounding_policy()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4ae80155eceb940c89e2de63ad05868db2">arm_compute::graph::Sub</a>, and <a class="el" href="_eltwise_layer_node_8cpp_source.xhtml#l00077">EltwiseLayerNode::type()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a863bcac2c361e883edf7f9abb4abd9a7"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a863bcac2c361e883edf7f9abb4abd9a7">◆ </a></span>create_eltwise_layer< GCEltwiseFunctions, GCTargetInfo >()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> <a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa37faf92f78c0f5cefe2d43c8bf07f18">arm_compute::graph::backends::detail::create_eltwise_layer</a>< GCEltwiseFunctions, GCTargetInfo > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">EltwiseLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml#l00177">177</a> of file <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml">GCFunctionsFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="stringliteral">"Creating GC EltwiseLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(node.num_inputs() != 2);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  GCTargetInfo::TensorType *input1 = get_backing_tensor<GCTargetInfo>(node.input(0));</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  GCTargetInfo::TensorType *input2 = get_backing_tensor<GCTargetInfo>(node.input(1));</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  GCTargetInfo::TensorType *output = get_backing_tensor<GCTargetInfo>(node.output(0));</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4">EltwiseOperation</a> eltwise_op = node.eltwise_operation();</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">convert_policy</a> = node.convert_policy();</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::unique_ptr<IFunction> func = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  std::string func_name;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">if</span>(eltwise_op == EltwiseOperation::Add)</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  std::tie(func, func_name) = create_named_function<GCEltwiseFunctions::Addition>(</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  std::string(<span class="stringliteral">"GCArithmeticAddition"</span>),</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  input1, input2, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">convert_policy</a>);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(eltwise_op == EltwiseOperation::Sub)</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  {</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Arithmetic subtraction is not supported in GLES backend"</span>);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(eltwise_op == EltwiseOperation::Mul)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::tie(func, func_name) = create_named_function<GCEltwiseFunctions::Multiplication>(</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  std::string(<span class="stringliteral">"PixelWiseMultiplication"</span>),</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  input1, input2, output, 1.f);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported element-wise operation!"</span>);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  << node.name()</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  << <span class="stringliteral">" Target: "</span> << GCTargetInfo::TargetType</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  << <span class="stringliteral">" Operation: "</span> << func_name</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  << <span class="stringliteral">" Data Type: "</span> << input1->info()->data_type()</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  << <span class="stringliteral">" Shape: "</span> << input1->info()->tensor_shape()</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  << std::endl);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">return</span> func;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> }</div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00261">Error.h:261</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa12973876c037bddff8e9ece94aca0e4"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4">arm_compute::graph::EltwiseOperation</a></div><div class="ttdeci">EltwiseOperation</div><div class="ttdoc">Supported Element-wise operations.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00098">Types.h:98</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5d58c32bff63e4c34b3234f884a4da58"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58">arm_compute::test::validation::convert_policy</a></div><div class="ttdeci">convert_policy</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a82b8ac759c804bc1fb4e2d21e178fb6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">arm_compute::ConvertPolicy</a></div><div class="ttdeci">ConvertPolicy</div><div class="ttdoc">Policy to handle overflow.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00349">Types.h:349</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00261">ARM_COMPUTE_ERROR</a>, <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_eltwise_layer_node_8cpp_source.xhtml#l00045">EltwiseLayerNode::convert_policy()</a>, <a class="el" href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">arm_compute::test::validation::convert_policy</a>, <a class="el" href="_eltwise_layer_node_8cpp_source.xhtml#l00040">EltwiseLayerNode::eltwise_operation()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_eltwise_layer_node_8cpp_source.xhtml#l00077">EltwiseLayerNode::type()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_g_c_functions_factory_8cpp_source.xhtml#l00231">GCFunctionFactory::create()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a7880c3b249a6dad40da0ebcf6600b0e1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7880c3b249a6dad40da0ebcf6600b0e1">◆ </a></span>create_flatten_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_flatten_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml">FlattenLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend flatten layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">FlattenLayerFunction</td><td>Backend flatten function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend flatten layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00775">775</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> {</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> </div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> </div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> </div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<FlattenLayerFunction>();</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  func->configure(input, output);</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> </div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  << node.name()</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  << std::endl);</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> </div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_flatten_layer_node_8cpp_source.xhtml#l00065">FlattenLayerNode::type()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ac64bbd0df74207f9ab59953e21311178"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac64bbd0df74207f9ab59953e21311178">◆ </a></span>create_fully_connected_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_fully_connected_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml">FullyConnectedLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend fully connected layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">FullyConnectedLayerFunction</td><td>Backend fully-connected function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend fully connected layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00814">814</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00815"></a><span class="lineno"> 815</span> {</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span> </div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="keyword">typename</span> TargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keyword">typename</span> TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keyword">const</span> FullyConnectedLayerInfo fc_info = node.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>();</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span> </div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<FullyConnectedLayerFunction>(<a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, TargetInfo::TargetType));</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  func->configure(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, fc_info);</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_quantized = <a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input->info()->data_type());</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> </div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  std::ostringstream qss;</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">if</span>(is_quantized)</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  {</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  qss << <span class="stringliteral">" Input QuantInfo: "</span> << input->info()->quantization_info()</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  << <span class="stringliteral">" Weights QuantInfo: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  << <span class="stringliteral">" Output QuantInfo: "</span> << output->info()->quantization_info();</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  }</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  << node.name()</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  << qss.str()</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  << std::endl);</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> </div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00293">TensorInfo.h:293</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00100">FullyConnectedLayerNode::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00293">TensorInfo::quantization_info()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00126">FullyConnectedLayerNode::type()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
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| <a id="a493f9b9869bce476611a3590315563a2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a493f9b9869bce476611a3590315563a2">◆ </a></span>create_fused_convolution_batch_normalization_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_fused_convolution_batch_normalization_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml">FusedConvolutionBatchNormalizationNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Create a backend batch normalization layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">BatchNormalizationLayerFunction</td><td>Backend batch normalization function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend batch normalization layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00180">180</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  validate_node<TargetInfo>(node, 7 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">typename</span> TargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">typename</span> TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">typename</span> TargetInfo::TensorType *mean = get_backing_tensor<TargetInfo>(node.input(3));</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">typename</span> TargetInfo::TensorType *var = get_backing_tensor<TargetInfo>(node.input(4));</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">typename</span> TargetInfo::TensorType *beta = get_backing_tensor<TargetInfo>(node.input(5));</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">typename</span> TargetInfo::TensorType *gamma = get_backing_tensor<TargetInfo>(node.input(6));</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = node.num_groups();</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> fast_math = node.fast_math_hint() == FastMathHint::Enabled;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a> = node.epsilon();</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<FusedConvolutionBatchNormalizationFunction<TargetInfo, FusedLayerTypes>>();</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  func->configure(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, mean, var, beta, gamma, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>, fast_math, fused_act);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  << node.name()</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  << (fused_act.enabled() ? <span class="stringliteral">" "</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  << std::endl);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_fused_convolution_batch_normalization_node_8cpp_source.xhtml#l00071">FusedConvolutionBatchNormalizationNode::convolution_info()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32">arm_compute::graph::Enabled</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00033">epsilon</a>, <a class="el" href="_fused_convolution_batch_normalization_node_8cpp_source.xhtml#l00051">FusedConvolutionBatchNormalizationNode::epsilon()</a>, <a class="el" href="_fused_convolution_batch_normalization_node_8cpp_source.xhtml#l00066">FusedConvolutionBatchNormalizationNode::fast_math_hint()</a>, <a class="el" href="_fused_convolution_batch_normalization_node_8cpp_source.xhtml#l00081">FusedConvolutionBatchNormalizationNode::fused_activation()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_fused_convolution_batch_normalization_node_8cpp_source.xhtml#l00076">FusedConvolutionBatchNormalizationNode::num_groups()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">arm_compute::test::validation::num_groups</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, <a class="el" href="_fused_convolution_batch_normalization_node_8cpp_source.xhtml#l00139">FusedConvolutionBatchNormalizationNode::type()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
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| </div> |
| </div> |
| <a id="af32b2b969ff97acb4faf54d70261f43a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af32b2b969ff97acb4faf54d70261f43a">◆ </a></span>create_fused_depthwise_convolution_batch_normalization_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_fused_depthwise_convolution_batch_normalization_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Create a backend fused depthwise convolution batch normalization layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">FusedLayerTypes</td><td>Fused layer types </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend fused depthwise convolution batch normalization layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00229">229</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  validate_node<TargetInfo>(node, 7 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">typename</span> TargetInfo::TensorType *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">typename</span> TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">typename</span> TargetInfo::TensorType *mean = get_backing_tensor<TargetInfo>(node.input(3));</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">typename</span> TargetInfo::TensorType *var = get_backing_tensor<TargetInfo>(node.input(4));</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">typename</span> TargetInfo::TensorType *beta = get_backing_tensor<TargetInfo>(node.input(5));</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">typename</span> TargetInfo::TensorType *gamma = get_backing_tensor<TargetInfo>(node.input(6));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth_multiplier = node.depth_multiplier();</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> ActivationLayerInfo fused_act = node.fused_activation();</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a> = node.epsilon();</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<FusedDepthwiseConvolutionBatchNormalizationFunction<TargetInfo, FusedLayerTypes>>();</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  func->configure(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, mean, var, beta, gamma, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, fused_act);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  << node.name()</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  << <span class="stringliteral">" Weights shape: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  << (fused_act.enabled() ? <span class="stringliteral">" "</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">to_string</a>(fused_act.activation()) : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  << std::endl);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00100">DatasetModes.h:100</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00252">TensorInfo.h:252</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01550">ActivationLayerInfo::activation()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00061">FusedDepthwiseConvolutionBatchNormalizationNode::convolution_info()</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00066">FusedDepthwiseConvolutionBatchNormalizationNode::depth_multiplier()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01565">ActivationLayerInfo::enabled()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00033">epsilon</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00056">FusedDepthwiseConvolutionBatchNormalizationNode::epsilon()</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00071">FusedDepthwiseConvolutionBatchNormalizationNode::fused_activation()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00252">TensorInfo::tensor_shape()</a>, <a class="el" href="tests_2_type_printer_8h_source.xhtml#l00064">arm_compute::to_string()</a>, <a class="el" href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00130">FusedDepthwiseConvolutionBatchNormalizationNode::type()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
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| <a id="a1a18725e5da4a7ae62c9a3b731ab8fe1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1a18725e5da4a7ae62c9a3b731ab8fe1">◆ </a></span>create_generate_proposals_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_generate_proposals_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml">GenerateProposalsLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </div><div class="memdoc"> |
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| <p>Create a backend generate proposals layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">GenerateProposalsLayerFunction</td><td>Backend generate proposals function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend generate proposals layer function </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00868">868</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00869"></a><span class="lineno"> 869</span> {</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 3 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span> </div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <span class="keyword">typename</span> TargetInfo::TensorType *scores = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="keyword">typename</span> TargetInfo::TensorType *deltas = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keyword">typename</span> TargetInfo::TensorType *anchors = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="keyword">typename</span> TargetInfo::TensorType *proposals = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keyword">typename</span> TargetInfo::TensorType *scores_out = get_backing_tensor<TargetInfo>(node.output(1));</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <span class="keyword">typename</span> TargetInfo::TensorType *num_valid_proposals = get_backing_tensor<TargetInfo>(node.output(2));</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <span class="keyword">const</span> GenerateProposalsInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a> = node.info();</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span> </div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(scores == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(deltas == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(anchors == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(proposals == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(scores_out == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span> </div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<GenerateProposalsLayerFunction>(<a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, TargetInfo::TargetType));</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  func->configure(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span> << node.type()</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  << <span class="stringliteral">" Target "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  << <span class="stringliteral">" Data Type: "</span> << scores->info()->data_type()</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  << <span class="stringliteral">" Scores shape: "</span> << scores->info()->tensor_shape()</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  << <span class="stringliteral">" Deltas shape: "</span> << deltas->info()->tensor_shape()</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  << <span class="stringliteral">" Anchors shape: "</span> << anchors->info()->tensor_shape()</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  << <span class="stringliteral">" Proposals shape: "</span> << proposals->info()->tensor_shape()</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  << <span class="stringliteral">" Num valid proposals shape: "</span> << num_valid_proposals->info()->tensor_shape()</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  << <span class="stringliteral">" Scores Out shape: "</span> << scores_out->info()->tensor_shape()</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  << std::endl);</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span> </div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="_generate_proposals_layer_node_8cpp_source.xhtml#l00042">GenerateProposalsLayerNode::info()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_generate_proposals_layer_node_8cpp_source.xhtml#l00092">GenerateProposalsLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="a2dfc97df083b68f8409ba21d8a0110d8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a2dfc97df083b68f8409ba21d8a0110d8">◆ </a></span>create_normalization_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_normalization_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml">NormalizationLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Create a backend normalization layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">NormalizationLayerFunction</td><td>Backend normalization function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend normalization layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00917">917</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> {</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(ctx);</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span> </div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> </div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keyword">const</span> NormalizationLayerInfo norm_info = node.normalization_info();</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> </div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<NormalizationLayerFunction>();</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  func->configure(input, output, norm_info);</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span> </div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  << node.name()</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  << <span class="stringliteral">" Normalization info: "</span> << norm_info.type()</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  << std::endl);</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> </div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_error_8h_source.xhtml#l00160">ARM_COMPUTE_UNUSED</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_normalization_layer_node_8cpp_source.xhtml#l00041">NormalizationLayerNode::normalization_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_normalization_layer_node_8cpp_source.xhtml#l00069">NormalizationLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="ab68902cd2bb95bf47f5967718015343c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab68902cd2bb95bf47f5967718015343c">◆ </a></span>create_normalization_layer< NENormalizationLayer, NETargetInfo >()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> <a class="el" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dfc97df083b68f8409ba21d8a0110d8">arm_compute::graph::backends::detail::create_normalization_layer</a>< <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml">NENormalizationLayer</a>, NETargetInfo > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml">NormalizationLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_function_factory_8cpp_source.xhtml#l00162">162</a> of file <a class="el" href="_n_e_function_factory_8cpp_source.xhtml">NEFunctionFactory.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  validate_node<NETargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  NETargetInfo::TensorType *input = get_backing_tensor<NETargetInfo>(node.input(0));</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  NETargetInfo::TensorType *output = get_backing_tensor<NETargetInfo>(node.output(0));</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">const</span> NormalizationLayerInfo norm_info = node.normalization_info();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<NENormalizationLayer>(<a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, NETargetInfo::TargetType));</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  func->configure(input, output, norm_info);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  << node.name()</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  << <span class="stringliteral">" Target: "</span> << NETargetInfo::TargetType</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  << <span class="stringliteral">" Normalization info: "</span> << norm_info.type()</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  << std::endl);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_normalization_layer_node_8cpp_source.xhtml#l00041">NormalizationLayerNode::normalization_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, and <a class="el" href="_normalization_layer_node_8cpp_source.xhtml#l00069">NormalizationLayerNode::type()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_function_factory_8cpp_source.xhtml#l00192">NEFunctionFactory::create()</a>.</p> |
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| </div> |
| </div> |
| <a id="a92b35a365f58606a13baaf4501d78d9e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a92b35a365f58606a13baaf4501d78d9e">◆ </a></span>create_normalize_planar_yuv_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_normalize_planar_yuv_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml">NormalizePlanarYUVLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend normalize planar YUV layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">NormalizePlanarYUVLayerFunction</td><td>Backend normalize planar YUV function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend normalize plnar YUV layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00958">958</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00959"></a><span class="lineno"> 959</span> {</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  validate_node<TargetInfo>(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> </div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keyword">typename</span> TargetInfo::TensorType *mean = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keyword">typename</span> TargetInfo::TensorType *std = get_backing_tensor<TargetInfo>(node.input(2));</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(mean == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(std == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span> </div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<NormalizePlanarYUVLayerFunction>();</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  func->configure(input, output, mean, std);</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> </div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  << node.name()</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  << <span class="stringliteral">" Shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  << std::endl);</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span> </div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_normalize_planar_y_u_v_layer_node_8cpp_source.xhtml#l00063">NormalizePlanarYUVLayerNode::type()</a>.</p> |
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| </div> |
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| <a id="a127d0cce11ed3d411eaa5bd25c7a3ac1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a127d0cce11ed3d411eaa5bd25c7a3ac1">◆ </a></span>create_pad_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_pad_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml">PadLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend pad layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">PadLayerFunction</td><td>Backend pad function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend pad layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00998">998</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00999"></a><span class="lineno"> 999</span> {</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> </div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a> = node.padding();</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> </div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<PadLayerFunction>();</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  func->configure(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> </div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  << node.name()</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  << std::endl);</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span> </div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ac1a1b012674e0f1de071a611391828ad"><div class="ttname"><a href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">arm_compute::PaddingList</a></div><div class="ttdeci">std::vector< PaddingInfo > PaddingList</div><div class="ttdoc">List of padding information.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00445">Types.h:445</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a735a025fce26c1ef147b54426df18181"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">arm_compute::test::validation::padding</a></div><div class="ttdeci">const PaddingSize padding</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00113">AbsoluteDifference.cpp:113</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_pad_layer_node_8cpp_source.xhtml#l00042">PadLayerNode::padding()</a>, <a class="el" href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00113">arm_compute::test::validation::padding</a>, and <a class="el" href="_pad_layer_node_8cpp_source.xhtml#l00077">PadLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="aa65a1becdfa5fc3533d79bba0cd4095c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa65a1becdfa5fc3533d79bba0cd4095c">◆ </a></span>create_permute_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_permute_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml">PermuteLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend permute layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">PermuteLayerFunction</td><td>Backend permute function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend permute layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01036">1036</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span> {</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span> </div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">PermutationVector</a> &perm = node.permutation_vector();</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> </div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<PermuteLayerFunction>();</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  func->configure(input, output, perm);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> </div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  << node.name()</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  << <span class="stringliteral">" Permutation vector: "</span> << perm</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  << std::endl);</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> </div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00047">Types.h:47</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_permute_layer_node_8cpp_source.xhtml#l00042">PermuteLayerNode::permutation_vector()</a>, and <a class="el" href="_permute_layer_node_8cpp_source.xhtml#l00077">PermuteLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="a0e51b62035e79b0f12964cae17ce0480"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0e51b62035e79b0f12964cae17ce0480">◆ </a></span>create_pooling_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_pooling_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml">PoolingLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend pooling layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">PoolingLayerFunction</td><td>Backend pooling function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend pooling layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01075">1075</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span> {</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span> </div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keyword">const</span> PoolingLayerInfo pool_info = node.pooling_info();</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span> </div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<PoolingLayerFunction>();</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  func->configure(input, output, pool_info);</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> </div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  << node.name()</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  << <span class="stringliteral">" Pooling info: "</span> << pool_info.pool_type()</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  << std::endl);</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> </div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_pooling_layer_node_8cpp_source.xhtml#l00042">PoolingLayerNode::pooling_info()</a>, and <a class="el" href="_pooling_layer_node_8cpp_source.xhtml#l00091">PoolingLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="aaf28fee838c38cc4da407a4dbc62f7b0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aaf28fee838c38cc4da407a4dbc62f7b0">◆ </a></span>create_priorbox_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_priorbox_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml">PriorBoxLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend priorbox layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">PriorBoxLayerFunction</td><td>Backend priorbox function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend priorbox layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01114">1114</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> {</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  validate_node<TargetInfo>(node, 2 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> </div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input0 = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input1 = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <span class="keyword">const</span> PriorBoxLayerInfo prior_info = node.priorbox_info();</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span> </div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<PriorBoxLayerFunction>();</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  func->configure(input0, input1, output, prior_info);</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span> </div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  << node.name()</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  << <span class="stringliteral">" Data Type: "</span> << input0->info()->data_type()</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  << <span class="stringliteral">" Input0 shape: "</span> << input0->info()->tensor_shape()</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  << <span class="stringliteral">" Input1 shape: "</span> << input1->info()->tensor_shape()</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  << <span class="stringliteral">" PriorBoxLayer info: "</span> << prior_info</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  << std::endl);</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> </div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_prior_box_layer_node_8cpp_source.xhtml#l00042">PriorBoxLayerNode::priorbox_info()</a>, and <a class="el" href="_prior_box_layer_node_8cpp_source.xhtml#l00085">PriorBoxLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="a31be99a5d0f75045fc411e211824baad"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a31be99a5d0f75045fc411e211824baad">◆ </a></span>create_quantization_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_quantization_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml">QuantizationLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend quantization layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">QuantizationLayerFunction</td><td>Backend quantization function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend quantization layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01156">1156</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span> {</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span> </div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span> </div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<QuantizationLayerFunction>();</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  func->configure(input, output);</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span> </div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  << node.name()</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  << std::endl);</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span> </div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_quantization_layer_node_8cpp_source.xhtml#l00067">QuantizationLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="a0331e6b2b68ea76e9415f7f148d92601"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0331e6b2b68ea76e9415f7f148d92601">◆ </a></span>create_reorg_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_reorg_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml">ReorgLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend reorg layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ReorgLayerFunction</td><td>Backend reorg function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend reshape layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01193">1193</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span> {</div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span> </div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span> </div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<ReorgLayerFunction>();</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  func->configure(input, output, node.stride());</div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span> </div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  << node.name()</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  << std::endl);</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span> </div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_reorg_layer_node_8cpp_source.xhtml#l00041">ReorgLayerNode::stride()</a>, and <a class="el" href="_reorg_layer_node_8cpp_source.xhtml#l00088">ReorgLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="ad1922deea021647290d0c206723e6c73"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad1922deea021647290d0c206723e6c73">◆ </a></span>create_reshape_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_reshape_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml">ReshapeLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend reshape layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ReshapeLayerFunction</td><td>Backend reshape function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend reshape layer function </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01230">1230</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span> {</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span> </div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span> </div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<ReshapeLayerFunction>();</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  func->configure(input, output);</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span> </div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  << node.name()</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  << std::endl);</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span> </div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="src_2graph_2nodes_2_reshape_layer_8cpp_source.xhtml#l00066">ReshapeLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="adb3a9be16de941b0f601e16c8ac76533"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adb3a9be16de941b0f601e16c8ac76533">◆ </a></span>create_resize_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_resize_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_resize_layer_node.xhtml">ResizeLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Create a backend resize layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ResizeLayerFunction</td><td>Backend resize function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend resize layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01267">1267</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01268"></a><span class="lineno"> 1268</span> {</div><div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span> </div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a> = node.policy();</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span> </div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<ResizeLayerFunction>();</div><div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  func->configure(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, BorderMode::CONSTANT);</div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span> </div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  << node.name()</div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  << <span class="stringliteral">" Interpolation: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a></div><div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  << std::endl);</div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span> </div><div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">arm_compute::InterpolationPolicy</a></div><div class="ttdeci">InterpolationPolicy</div><div class="ttdoc">Interpolation method.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00356">Types.h:356</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad986b73e9d5f47a623a9b6d773c25e34"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">arm_compute::test::validation::policy</a></div><div class="ttdeci">policy</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00136">ArithmeticAddition.cpp:136</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">arm_compute::CONSTANT</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_resize_layer_node_8cpp_source.xhtml#l00041">ResizeLayerNode::policy()</a>, <a class="el" href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00136">arm_compute::test::validation::policy</a>, and <a class="el" href="_resize_layer_node_8cpp_source.xhtml#l00081">ResizeLayerNode::type()</a>.</p> |
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| </div> |
| <a id="adef77d1f64203fe2828b3f992c87f5df"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adef77d1f64203fe2828b3f992c87f5df">◆ </a></span>create_roi_align_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_roi_align_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml">ROIAlignLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend ROI align layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ROIAlignLayerFunction</td><td>ROI Align function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>ROI Align layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01306">1306</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span> {</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  validate_node<TargetInfo>(node, 2 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span> </div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  <span class="keyword">typename</span> TargetInfo::TensorType *rois = get_backing_tensor<TargetInfo>(node.input(1));</div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(rois == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span> </div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  <span class="keyword">const</span> ROIPoolingLayerInfo pool_info = node.pooling_info();</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span> </div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<ROIAlignLayerFunction>();</div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span> </div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  func->configure(input, rois, output, pool_info);</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span> </div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  << node.name()</div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  << <span class="stringliteral">" ROIs shape: "</span> << rois->info()->tensor_shape()</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  << <span class="stringliteral">" ROIPooling width: "</span> << pool_info.pooled_width()</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  << <span class="stringliteral">" ROIPooling height: "</span> << pool_info.pooled_height()</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  << std::endl);</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span> </div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01296">ROIPoolingLayerInfo::pooled_height()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01291">ROIPoolingLayerInfo::pooled_width()</a>, <a class="el" href="_r_o_i_align_layer_node_8cpp_source.xhtml#l00043">ROIAlignLayerNode::pooling_info()</a>, and <a class="el" href="_r_o_i_align_layer_node_8cpp_source.xhtml#l00085">ROIAlignLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="a69a819dc92f559ed0b788392391da602"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a69a819dc92f559ed0b788392391da602">◆ </a></span>create_slice_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_slice_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml">SliceLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend slice layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">SliceLayerFunction</td><td>Backend slice function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend slice layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01351">1351</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span> {</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span> </div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span> </div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<SliceLayerFunction>();</div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  func->configure(input, output, node.starts(), node.ends());</div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span> </div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  << node.name()</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  << std::endl);</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span> </div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_slice_layer_node_8cpp_source.xhtml#l00047">SliceLayerNode::ends()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_slice_layer_node_8cpp_source.xhtml#l00042">SliceLayerNode::starts()</a>, and <a class="el" href="_slice_layer_node_8cpp_source.xhtml#l00086">SliceLayerNode::type()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a5271c97b6bef5972c5e259307d52a4da"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5271c97b6bef5972c5e259307d52a4da">◆ </a></span>create_softmax_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_softmax_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml">SoftmaxLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend softmax layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">SoftmaxLayerFunction</td><td>Backend softmax function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend softmax layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01389">1389</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span> {</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span> </div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> beta = node.beta();</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span> </div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<SoftmaxLayerFunction>(<a class="code" href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">get_memory_manager</a>(ctx, TargetInfo::TargetType));</div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  func->configure(input, output, beta);</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span> </div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  << node.name()</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>  << std::endl);</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span> </div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_xhtml_a8919c520c1cb9086dd1116de509bd481"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends.xhtml#a8919c520c1cb9086dd1116de509bd481">arm_compute::graph::backends::get_memory_manager</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > get_memory_manager(GraphContext &ctx, Target target)</div><div class="ttdoc">Returns the memory manager for a given target.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">Utils.h:88</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_softmax_layer_node_8cpp_source.xhtml#l00041">SoftmaxLayerNode::beta()</a>, <a class="el" href="arm__compute_2graph_2backends_2_utils_8h_source.xhtml#l00088">arm_compute::graph::backends::get_memory_manager()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_softmax_layer_node_8cpp_source.xhtml#l00072">SoftmaxLayerNode::type()</a>.</p> |
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| </div> |
| </div> |
| <a id="ae157076aa533f9db0960dea1d5fc5014"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae157076aa533f9db0960dea1d5fc5014">◆ </a></span>create_stack_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a>> arm_compute::graph::backends::detail::create_stack_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_stack_layer_node.xhtml">StackLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend layer stack function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">StackLayerFunction</td><td>Backend stack function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend stack layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01427">1427</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span> {</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Creating Stack node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span> </div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  std::vector<typename TargetInfo::TensorType *> inputs;</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < node.num_inputs(); ++i)</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  {</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  inputs.push_back(get_backing_tensor<TargetInfo>(node.input(i)));</div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  }</div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a> = node.axis();</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span> </div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<StackLayerFunction>();</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  func->configure(inputs, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>, output);</div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span> </div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  << node.name()</div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  << <span class="stringliteral">" Data Type: "</span> << output->info()->data_type()</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  << <span class="stringliteral">" Inputs shape: "</span> << inputs[0]->info()->tensor_shape()</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>  << <span class="stringliteral">" Num Inputs: "</span> << inputs.size()</div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  << <span class="stringliteral">" Axis: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a></div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  << std::endl);</div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span> </div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_stack_layer_node_8cpp_source.xhtml#l00045">StackLayerNode::axis()</a>, <a class="el" href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">arm_compute::test::validation::axis</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_stack_layer_node_8cpp_source.xhtml#l00105">StackLayerNode::type()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="acd9d23be81ad915ff875876c6606f576"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#acd9d23be81ad915ff875876c6606f576">◆ </a></span>create_upsample_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_upsample_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml">UpsampleLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend Upsample layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">UpsampleLayerFunction</td><td>Backend Upsample function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend Upsample layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01470">1470</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span> {</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span> </div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  <span class="keyword">const</span> Size2D <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a> = node.info();</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> upsampling_policy = node.upsampling_policy();</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(upsampling_policy != InterpolationPolicy::NEAREST_NEIGHBOR);</div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>.x() != 2 || <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>.y() != 2);</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span> </div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<UpsampleLayerFunction>();</div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  func->configure(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>, upsampling_policy);</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span> </div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  << node.name()</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>  << <span class="stringliteral">" Strides: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a></div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>  << <span class="stringliteral">" Upsampling policy: "</span> << upsampling_policy</div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>  << std::endl);</div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span> </div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">arm_compute::InterpolationPolicy</a></div><div class="ttdeci">InterpolationPolicy</div><div class="ttdoc">Interpolation method.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00356">Types.h:356</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_upsample_layer_node_8cpp_source.xhtml#l00041">UpsampleLayerNode::info()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2">arm_compute::NEAREST_NEIGHBOR</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_upsample_layer_node_8cpp_source.xhtml#l00088">UpsampleLayerNode::type()</a>, and <a class="el" href="_upsample_layer_node_8cpp_source.xhtml#l00046">UpsampleLayerNode::upsampling_policy()</a>.</p> |
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| </div> |
| </div> |
| <a id="a7db148217bc0f1f5a4adf6194c858d24"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7db148217bc0f1f5a4adf6194c858d24">◆ </a></span>create_yolo_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a>> arm_compute::graph::backends::detail::create_yolo_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml">YOLOLayerNode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> & </td> |
| <td class="paramname"><em>ctx</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Create a backend YOLO layer function. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">YoloLayerFunction</td><td>Backend YOLO function </td></tr> |
| <tr><td class="paramname">TargetInfo</td><td>Target-specific information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to create the backend function for </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ctx</td><td><a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml" title="Graph class.">Graph</a> context</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backend YOLO layer function </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l01513">1513</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l01514"></a><span class="lineno"> 1514</span> {</div><div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>  validate_node<TargetInfo>(node, 1 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l01516"></a><span class="lineno"> 1516</span> </div><div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>  <span class="keyword">typename</span> TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));</div><div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>  <span class="keyword">typename</span> TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));</div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  <span class="keyword">const</span> ActivationLayerInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a> = node.activation_info();</div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>  <span class="keyword">const</span> int32_t num_classes = node.num_classes();</div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(num_classes <= 0);</div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01525"></a><span class="lineno"> 1525</span> </div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>  <span class="keyword">auto</span> func = support::cpp14::make_unique<YOLOlayerFunction>();</div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  func->configure(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>, num_classes);</div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span> </div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>  <span class="comment">// Log info</span></div><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>  <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">"Instantiated "</span></div><div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>  << node.name()</div><div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>  << <span class="stringliteral">" Type: "</span> << node.type()</div><div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  << <span class="stringliteral">" Data Type: "</span> << input->info()->data_type()</div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  << <span class="stringliteral">" Input shape: "</span> << input->info()->tensor_shape()</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  << <span class="stringliteral">" Output shape: "</span> << output->info()->tensor_shape()</div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>  << <span class="stringliteral">" Activation function: "</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.activation()</div><div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  << <span class="stringliteral">" Num classes: "</span> << num_classes</div><div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  << std::endl);</div><div class="line"><a name="l01541"></a><span class="lineno"> 1541</span> </div><div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  <span class="keywordflow">return</span> std::move(func);</div><div class="line"><a name="l01543"></a><span class="lineno"> 1543</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00175">ConvolutionLayer.cpp:175</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00175">arm_compute::test::validation::act_info</a>, <a class="el" href="_y_o_l_o_layer_node_8cpp_source.xhtml#l00041">YOLOLayerNode::activation_info()</a>, <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00054">ARM_COMPUTE_LOG_GRAPH_INFO</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_y_o_l_o_layer_node_8cpp_source.xhtml#l00046">YOLOLayerNode::num_classes()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="_y_o_l_o_layer_node_8cpp_source.xhtml#l00074">YOLOLayerNode::type()</a>.</p> |
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| <a id="a69dd1fc17c7a15f4125873be182c8c76"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a69dd1fc17c7a15f4125873be182c8c76">◆ </a></span>get_backing_tensor()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">TargetInfo::TensorType* arm_compute::graph::backends::detail::get_backing_tensor </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a> * </td> |
| <td class="paramname"><em>tensor</em></td><td>)</td> |
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| <p>Returns backing tensor of a given tensor. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">TargetInfo</td><td>Target information</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml" title="Tensor object.">Tensor</a> to extract the backing tensor from</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backing tensor if present else nullptr </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00059">59</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">typename</span> TargetInfo::TensorType *backing_tensor = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span>(tensor != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor-><a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">desc</a>().<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964">target</a> != TargetInfo::TargetType);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Get backing tensor handle</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  ITensorHandle *tensor_handle = tensor-><a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">handle</a>();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Get backing tensor</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  backing_tensor = (tensor_handle != <span class="keyword">nullptr</span>) ? arm_compute::utils::cast::polymorphic_cast<typename TargetInfo::TensorType *>(&tensor_handle->tensor()) : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> backing_tensor;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div><div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a45c1ef0023ce430d009ec79c97761544"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">arm_compute::graph::Tensor::handle</a></div><div class="ttdeci">ITensorHandle * handle()</div><div class="ttdoc">Backend tensor handle accessor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00055">Tensor.cpp:55</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a0d3608f94078b90ab1ff9e9465d4ed3b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">arm_compute::graph::Tensor::desc</a></div><div class="ttdeci">TensorDescriptor & desc()</div><div class="ttdoc">TensorInfo metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00040">Tensor.cpp:40</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a2a7ca82c5e74421cb45f17e936abf964"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964">arm_compute::graph::TensorDescriptor::target</a></div><div class="ttdeci">Target target</div><div class="ttdoc">Target.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00113">TensorDescriptor.h:113</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_tensor_8cpp_source.xhtml#l00040">Tensor::desc()</a>, <a class="el" href="graph_2_tensor_8cpp_source.xhtml#l00055">Tensor::handle()</a>, and <a class="el" href="_tensor_descriptor_8h_source.xhtml#l00113">TensorDescriptor::target</a>.</p> |
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| <a id="a9785ffbaaa220b6725a93a6f7f3145ca"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9785ffbaaa220b6725a93a6f7f3145ca">◆ </a></span>get_backing_tensor_info()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a>* arm_compute::graph::backends::detail::get_backing_tensor_info </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a> * </td> |
| <td class="paramname"><em>tensor</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <p>Returns backing tensor info of a given tensor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml" title="Tensor object.">Tensor</a> to extract the backing tensor from</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Backing tensor tensor info if present else nullptr </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">50</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> ((tensor == <span class="keyword">nullptr</span>) || (tensor-><a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">handle</a>() == <span class="keyword">nullptr</span>)) ? nullptr : tensor-><a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">handle</a>()-><a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a91efb5b2e262ec5e55059ff1fd9accc6">tensor</a>().<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div><div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a45c1ef0023ce430d009ec79c97761544"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">arm_compute::graph::Tensor::handle</a></div><div class="ttdeci">ITensorHandle * handle()</div><div class="ttdoc">Backend tensor handle accessor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00055">Tensor.cpp:55</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_tensor_handle_xhtml_a91efb5b2e262ec5e55059ff1fd9accc6"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a91efb5b2e262ec5e55059ff1fd9accc6">arm_compute::graph::ITensorHandle::tensor</a></div><div class="ttdeci">virtual arm_compute::ITensor & tensor()=0</div><div class="ttdoc">Backend tensor object accessor.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_tensor_8cpp_source.xhtml#l00055">Tensor::handle()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, and <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a91efb5b2e262ec5e55059ff1fd9accc6">ITensorHandle::tensor()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_validate_helpers_8h_source.xhtml#l00064">validate_bounding_box_transform_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00088">validate_channel_shuffle_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00114">validate_convolution_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00173">validate_depthwise_convolution_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00216">validate_detection_output_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00240">validate_detection_post_process_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00268">validate_generate_proposals_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00295">validate_normalize_planar_yuv_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00320">validate_pad_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00343">validate_permute_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00365">validate_priorbox_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00389">validate_quantization_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00412">validate_reorg_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00435">validate_reshape_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00458">validate_roi_align_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00483">validate_slice_layer()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00507">validate_upsample_layer()</a>, and <a class="el" href="_validate_helpers_8h_source.xhtml#l00529">validate_yolo_layer()</a>.</p> |
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| <a id="a94ce5eb74599047cd5f8b735e2464d12"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a94ce5eb74599047cd5f8b735e2464d12">◆ </a></span>validate_bounding_box_transform_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_bounding_box_transform_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml">BoundingBoxTransformLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
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| <p>Validates a Bounding Box Transform layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">BoundingBoxTransformLayer</td><td>Bounding Box Transform layer function type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00064">64</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating BoundingBoxTransformLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 2);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *deltas = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> BoundingBoxTransformInfo bbox_info = node.info();</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">BoundingBoxTransformLayer::validate</a>(input, output, deltas, bbox_info);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
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| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_bounding_box_transform_layer_node_8cpp_source.xhtml#l00042">BoundingBoxTransformLayerNode::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ab4632d71bdb4542008ad33b7b74b7b2c">◆ </a></span>validate_channel_shuffle_layer()</h2> |
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| <div class="memitem"> |
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| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_channel_shuffle_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml">ChannelShuffleLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
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| <p>Validates a Channel Shuffle layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ChannelShuffleLayer</td><td>Channel Shuffle layer function type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00088">88</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ChannelShuffle node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = node.num_groups();</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">ChannelShuffleLayer::validate</a>(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
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| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_channel_shuffle_layer_node_8cpp_source.xhtml#l00040">ChannelShuffleLayerNode::num_groups()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">arm_compute::test::validation::num_groups</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a84a36a0cae1ceb4313891ca841b11cb3">◆ </a></span>validate_convolution_layer()</h2> |
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| <div class="memitem"> |
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| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_convolution_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| <p>Validates a Convolution layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ConvolutionLayer</td><td>Default Convolution layer function type </td></tr> |
| <tr><td class="paramname">DirectConvolutionLayer</td><td>Direct Convolution layer function type </td></tr> |
| <tr><td class="paramname">GEMMConvolutionLayer</td><td>GEMM Convolution layer function type </td></tr> |
| <tr><td class="paramname">WinogradConvolutionLayer</td><td>Winograd Convolution layer function type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00114">114</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ConvolutionLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 3);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *biases = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(2));</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input->data_type()))</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  biases-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">set_data_type</a>(DataType::S32);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> conv_algorithm = node.convolution_method();</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> fast_math = node.fast_math_hint() == FastMathHint::Enabled;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = node.num_groups();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  Status status{};</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">switch</span>(conv_algorithm)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">case</span> ConvolutionMethod::Direct:</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> != 1, <span class="stringliteral">"DirectConvolutionLayer does not support grouping!"</span>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">DirectConvolutionLayer::validate</a>(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">case</span> ConvolutionMethod::GEMM:</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">GEMMConvolutionLayer::validate</a>(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  WeightsInfo(), Size2D(1, 1), ActivationLayerInfo(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">case</span> ConvolutionMethod::Winograd:</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> != 1, <span class="stringliteral">"WinogradConvolutionLayer does not support grouping!"</span>);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">WinogradConvolutionLayer::validate</a>(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, ActivationLayerInfo(), fast_math);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">case</span> ConvolutionMethod::Default:</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">ConvolutionLayer::validate</a>(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  WeightsInfo(), Size2D(1, 1), ActivationLayerInfo(), fast_math, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a>(<span class="stringliteral">"Unsupported convolution method"</span>);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span> status;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a683661ae75dcb7aef16b9c9bde31517d"><div class="ttname"><a href="namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d">arm_compute::ConvolutionMethod</a></div><div class="ttdeci">ConvolutionMethod</div><div class="ttdoc">Available ConvolutionMethod.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00132">Types.h:132</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a86084036bd3851575ef871ad5bf079a7"><div class="ttname"><a href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(cond,...)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00214">Error.h:214</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a9ebcdce876b4cd07736afa47d50154de"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">arm_compute::ITensorInfo::set_data_type</a></div><div class="ttdeci">virtual ITensorInfo & set_data_type(DataType data_type)=0</div><div class="ttdoc">Set the data type to the specified value.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">Utils.h:1030</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a9561091f3566e78ad3aa39259bc4126a"><div class="ttname"><a href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_MSG(...)</div><div class="ttdoc">An error is returned with the given description.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00183">Error.h:183</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00183">ARM_COMPUTE_RETURN_ERROR_MSG</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_error_8h_source.xhtml#l00214">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00066">ConvolutionLayerNode::convolution_info()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00051">ConvolutionLayerNode::convolution_method()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da7a1920d61156abc05a60135aefe8bc67">arm_compute::graph::Default</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517dafd1dd0c603be8170f9eae0be9f2f6afb">arm_compute::graph::Direct</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32">arm_compute::graph::Enabled</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00061">ConvolutionLayerNode::fast_math_hint()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">arm_compute::graph::GEMM</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01030">arm_compute::is_data_type_quantized_asymmetric()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_convolution_layer_node_8cpp_source.xhtml#l00071">ConvolutionLayerNode::num_groups()</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">arm_compute::test::validation::num_groups</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">ITensorInfo::set_data_type()</a>, <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>, and <a class="el" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da09db1dd1078ec6bdbe2722b4558e578f">arm_compute::graph::Winograd</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_node_validator_8cpp_source.xhtml#l00041">CLNodeValidator::validate()</a>, <a class="el" href="_n_e_node_validator_8cpp_source.xhtml#l00041">NENodeValidator::validate()</a>, and <a class="el" href="_g_c_node_validator_8cpp_source.xhtml#l00096">GCNodeValidator::validate()</a>.</p> |
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| </div> |
| </div> |
| <a id="a1634943db602da2c457279f427ab9538"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1634943db602da2c457279f427ab9538">◆ </a></span>validate_depthwise_convolution_layer()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_depthwise_convolution_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Validates a Depthwise Convolution layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">DepthwiseConvolutionLayer</td><td>Default Depthwise Convolution layer type </td></tr> |
| <tr><td class="paramname">DepthwiseConvolutionLayer3x3</td><td>Optimized 3x3 Depthwise Convolution layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00173">173</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating DepthwiseConvolutionLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 3);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *biases = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(2));</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.convolution_info();</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> dwc_algorithm = node.depthwise_convolution_method();</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> depth_multiplier = node.depth_multiplier();</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  Status status{};</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">switch</span>(dwc_algorithm)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">case</span> DepthwiseConvolutionMethod::Default:</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">case</span> DepthwiseConvolutionMethod::GEMV:</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">DepthwiseConvolutionLayer::validate</a>(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">case</span> DepthwiseConvolutionMethod::Optimized3x3:</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">DepthwiseConvolutionLayer3x3::validate</a>(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a>(<span class="stringliteral">"Unsupported depthwise convolution method"</span>);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">return</span> status;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">arm_compute::graph::DepthwiseConvolutionMethod</a></div><div class="ttdeci">DepthwiseConvolutionMethod</div><div class="ttdoc">Supported Depthwise Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00115">Types.h:115</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a9561091f3566e78ad3aa39259bc4126a"><div class="ttname"><a href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_MSG(...)</div><div class="ttdoc">An error is returned with the given description.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00183">Error.h:183</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00183">ARM_COMPUTE_RETURN_ERROR_MSG</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00599">arm_compute::test::validation::conv_info</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00058">DepthwiseConvolutionLayerNode::convolution_info()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67">arm_compute::graph::Default</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00043">DepthwiseConvolutionLayerNode::depth_multiplier()</a>, <a class="el" href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00053">DepthwiseConvolutionLayerNode::depthwise_convolution_method()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2">arm_compute::graph::GEMV</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938">arm_compute::graph::Optimized3x3</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">arm_compute::test::validation::weights</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_node_validator_8cpp_source.xhtml#l00041">CLNodeValidator::validate()</a>, <a class="el" href="_n_e_node_validator_8cpp_source.xhtml#l00041">NENodeValidator::validate()</a>, and <a class="el" href="_g_c_node_validator_8cpp_source.xhtml#l00096">GCNodeValidator::validate()</a>.</p> |
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| <a id="a432fd13bfda1435e0d3a8aa5b3dddf4f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a432fd13bfda1435e0d3a8aa5b3dddf4f">◆ </a></span>validate_detection_output_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_detection_output_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| </div><div class="memdoc"> |
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| <p>Validates a detection output layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">DetectionOutputLayer</td><td>DetectionOutput layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00216">216</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating DetectionOutputLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 3);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input2 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(2));</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> DetectionOutputLayerInfo detect_info = node.detection_output_info();</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">DetectionOutputLayer::validate</a>(input0, input1, input2, output, detect_info);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_detection_output_layer_node_8cpp_source.xhtml#l00042">DetectionOutputLayerNode::detection_output_info()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a9c20f659744b7e6854294198184c60f1">◆ </a></span>validate_detection_post_process_layer()</h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_detection_post_process_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
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| <p>Validates a detection post process layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">DetectionPostProcessLayer</td><td>DetectionOutput layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00240">240</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating DetectionPostProcessLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 3);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 4);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input2 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(2));</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(1));</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output2 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(2));</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output3 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(3));</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> DetectionPostProcessLayerInfo detect_info = node.detection_post_process_info();</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">DetectionPostProcessLayer::validate</a>(input0, input1, input2, output0, output1, output2, output3, detect_info);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_detection_post_process_layer_node_8cpp_source.xhtml#l00042">DetectionPostProcessLayerNode::detection_post_process_info()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="a40f232193e819dfc9dc9edbabefd5b7a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a40f232193e819dfc9dc9edbabefd5b7a">◆ </a></span>validate_generate_proposals_layer()</h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_generate_proposals_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml">GenerateProposalsLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
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| <p>Validates a Generate Proposals layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">GenerateProposalsLayer</td><td>Generate Proposals layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00268">268</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating GenerateProposalsLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 3);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 3);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *scores = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *deltas = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *anchors = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(2));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *proposals = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *scores_out = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(1));</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *num_valid_proposals = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(2));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keyword">const</span> GenerateProposalsInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a> = node.info();</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">GenerateProposalsLayer::validate</a>(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_generate_proposals_layer_node_8cpp_source.xhtml#l00042">GenerateProposalsLayerNode::info()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#aa6fabefcb8c4bd308219565ddcf00928">◆ </a></span>validate_node()</h2> |
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| <table class="memname"> |
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| <td class="memname">void arm_compute::graph::backends::detail::validate_node </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> & </td> |
| <td class="paramname"><em>node</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_expected_inputs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_expected_outputs</em> </td> |
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| <tr> |
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| <p class="definition">Definition at line <a class="el" href="_function_helpers_8h_source.xhtml#l00075">75</a> of file <a class="el" href="_function_helpers_8h_source.xhtml">FunctionHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Creating "</span> << node.type()</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  << <span class="stringliteral">" Target: "</span> << TargetInfo::TargetType</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  << <span class="stringliteral">" ID: "</span> << node.id()</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  << node.name()</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  << std::endl);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(TargetInfo::TargetType != node.assigned_target());</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(node.num_inputs() != num_expected_inputs);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(node.num_outputs() != num_expected_outputs);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> }</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00198">INode::assigned_target()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, and <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec">INode::type()</a>.</p> |
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| </div> |
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| <a id="ad6c95a270f3275bd5711ce6ec193c4ff"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad6c95a270f3275bd5711ce6ec193c4ff">◆ </a></span>validate_normalize_planar_yuv_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_normalize_planar_yuv_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml">NormalizePlanarYUVLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| <p>Validates a NormalizePlanarYUV layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">NormalizePlanarYUVLayer</td><td>layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00295">295</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> {</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating NormalizePlanarYUVLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 3);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *mean = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *std = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(2));</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">NormalizePlanarYUVLayer::validate</a>(input, output, mean, std);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="ada206e294c8d07093a8a50e08172c272"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ada206e294c8d07093a8a50e08172c272">◆ </a></span>validate_pad_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_pad_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml">PadLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Validates a pad layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">PadLayer</td><td>Pad layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00320">320</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> {</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating PadLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a> = node.padding();</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">PadLayer::validate</a>(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ac1a1b012674e0f1de071a611391828ad"><div class="ttname"><a href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">arm_compute::PaddingList</a></div><div class="ttdeci">std::vector< PaddingInfo > PaddingList</div><div class="ttdoc">List of padding information.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00445">Types.h:445</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a735a025fce26c1ef147b54426df18181"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">arm_compute::test::validation::padding</a></div><div class="ttdeci">const PaddingSize padding</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00113">AbsoluteDifference.cpp:113</a></div></div> |
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| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_pad_layer_node_8cpp_source.xhtml#l00042">PadLayerNode::padding()</a>, <a class="el" href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00113">arm_compute::test::validation::padding</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="aeb6f53f28ef137932823d17554043056"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aeb6f53f28ef137932823d17554043056">◆ </a></span>validate_permute_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_permute_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml">PermuteLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| </div><div class="memdoc"> |
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| <p>Validates a permute layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">PermuteLayer</td><td>Permute layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00343">343</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating PermuteLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">PermutationVector</a> &perm = node.permutation_vector();</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">PermuteLayer::validate</a>(input, output, perm);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00047">Types.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_permute_layer_node_8cpp_source.xhtml#l00042">PermuteLayerNode::permutation_vector()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="a76682a55960d790a11357ab922a5d659"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a76682a55960d790a11357ab922a5d659">◆ </a></span>validate_priorbox_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_priorbox_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml">PriorBoxLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Validates a priorbox layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">PriorBoxLayer</td><td>PriorBox layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00365">365</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> {</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating PriorBoxLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 2);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">const</span> PriorBoxLayerInfo prior_info = node.priorbox_info();</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">PriorBoxLayer::validate</a>(input0, input1, output, prior_info);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_prior_box_layer_node_8cpp_source.xhtml#l00042">PriorBoxLayerNode::priorbox_info()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="a959fdd41c94dde46a21dd2bf6d50c48b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a959fdd41c94dde46a21dd2bf6d50c48b">◆ </a></span>validate_quantization_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_quantization_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml">QuantizationLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Validates a Quantization layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">QuantizationLayer</td><td>Quantization layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00389">389</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating QuantizationLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">QuantizationLayer::validate</a>(input, output);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
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| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="a4451f539afe63a19da3d17ee95582277"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4451f539afe63a19da3d17ee95582277">◆ </a></span>validate_reorg_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_reorg_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml">ReorgLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Validates a Reorg layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ReorgLayer</td><td>Reorg layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00412">412</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> {</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ReorgLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">ReorgLayer::validate</a>(input, output, node.stride());</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_reorg_layer_node_8cpp_source.xhtml#l00041">ReorgLayerNode::stride()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ad4cb768bba67e8ccb02d0903da459ecb">◆ </a></span>validate_reshape_layer()</h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_reshape_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml">ReshapeLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Validates a Reshape layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ReshapeLayer</td><td>Reshape layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00435">435</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> {</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ReshapeLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">ReshapeLayer::validate</a>(input, output);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="a366fca5f1c0a2ed6ee50e9d619d4f2e5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a366fca5f1c0a2ed6ee50e9d619d4f2e5">◆ </a></span>validate_roi_align_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_roi_align_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml">ROIAlignLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Validates a ROI Align layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">ROIAlignLayer</td><td>ROIAlign layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00458">458</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ROIAlignLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 2);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *rois = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(1));</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">const</span> ROIPoolingLayerInfo &pool_info = node.pooling_info();</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> </div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">ROIAlignLayer::validate</a>(input, rois, output, pool_info);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_r_o_i_align_layer_node_8cpp_source.xhtml#l00043">ROIAlignLayerNode::pooling_info()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="a3c749cc534b2801f46ec56d78abc7fef"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a3c749cc534b2801f46ec56d78abc7fef">◆ </a></span>validate_slice_layer()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_slice_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml">SliceLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| </div><div class="memdoc"> |
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| <p>Validates a Slice layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">SliceLayer</td><td>Slice layer function type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00483">483</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> {</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating Slice node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keyword">const</span> Coordinates starts = node.starts();</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keyword">const</span> Coordinates ends = node.ends();</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">SliceLayer::validate</a>(input, output, starts, ends);</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_slice_layer_node_8cpp_source.xhtml#l00047">SliceLayerNode::ends()</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_slice_layer_node_8cpp_source.xhtml#l00042">SliceLayerNode::starts()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <a id="a8396c4dda471ae2dc627e25adfbe1bcf"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8396c4dda471ae2dc627e25adfbe1bcf">◆ </a></span>validate_upsample_layer()</h2> |
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| <div class="memitem"> |
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| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_upsample_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml">UpsampleLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Validates a Upsample layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">UpsampleLayer</td><td>Upsample layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00507">507</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> {</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating UpsampleLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> </div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">UpsampleLayer::validate</a>(input, output, node.info(), node.upsampling_policy());</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
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| <p class="reference">References <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_upsample_layer_node_8cpp_source.xhtml#l00041">UpsampleLayerNode::info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, <a class="el" href="_upsample_layer_node_8cpp_source.xhtml#l00046">UpsampleLayerNode::upsampling_policy()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a7ef4fa6499c747d322a74136249afa6b">◆ </a></span>validate_yolo_layer()</h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> arm_compute::graph::backends::detail::validate_yolo_layer </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml">YOLOLayerNode</a> & </td> |
| <td class="paramname"><em>node</em></td><td>)</td> |
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| <p>Validates a YOLO layer node. </p> |
| <dl class="tparams"><dt>Template Parameters</dt><dd> |
| <table class="tparams"> |
| <tr><td class="paramname">YOLOLayer</td><td>YOLO layer type</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">node</td><td>Node to validate</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_status.xhtml" title="Status class.">Status</a> </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_validate_helpers_8h_source.xhtml#l00529">529</a> of file <a class="el" href="_validate_helpers_8h_source.xhtml">ValidateHelpers.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating YOLOLayer node with ID : "</span> << node.id() << <span class="stringliteral">" and Name: "</span> << node.name() << std::endl);</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_inputs() != 1);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.num_outputs() != 1);</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> </div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.input(0));</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.output(0));</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">YOLOLayer::validate</a>(input, output, node.activation_info(), node.num_classes());</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> }</div><div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_y_o_l_o_layer_node_8cpp_source.xhtml#l00041">YOLOLayerNode::activation_info()</a>, <a class="el" href="graph_2_logger_8h_source.xhtml#l00050">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>, <a class="el" href="_error_8h_source.xhtml#l00244">ARM_COMPUTE_RETURN_ERROR_ON</a>, <a class="el" href="_validate_helpers_8h_source.xhtml#l00050">get_backing_tensor_info()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00102">INode::id()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00150">INode::input()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00107">INode::name()</a>, <a class="el" href="_y_o_l_o_layer_node_8cpp_source.xhtml#l00046">YOLOLayerNode::num_classes()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00178">INode::num_inputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00183">INode::num_outputs()</a>, <a class="el" href="_i_node_8cpp_source.xhtml#l00158">INode::output()</a>, and <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate()</a>.</p> |
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