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| <div class="title">FusedDepthwiseConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes > Class Template Reference</div> </div> |
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| |
| <p>Wrapper function to first apply {NE, CL}BatchNormalizationLayer on the weights and then run {NE, CL}DepthwiseConvolutionLayer with the modified weights. |
| <a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for FusedDepthwiseConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes >:</div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a> |
| Public Types</h2></td></tr> |
| <tr class="memitem:a4ae2727819a8e5fb0b0d9087e7ebd5ca"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> = typename TargetInfo::TensorType</td></tr> |
| <tr class="separator:a4ae2727819a8e5fb0b0d9087e7ebd5ca"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a991b6faefbee1cf7b9cf77647c30a6ec"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec">TensorConcreteType</a> = typename TargetInfo::TensorConcreteType</td></tr> |
| <tr class="separator:a991b6faefbee1cf7b9cf77647c30a6ec"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:a39e91240e1eded28bd0efa10b9cbb104"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a39e91240e1eded28bd0efa10b9cbb104">FusedDepthwiseConvolutionBatchNormalizationFunction</a> (std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > memory_manager=nullptr)</td></tr> |
| <tr class="separator:a39e91240e1eded28bd0efa10b9cbb104"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5eceba07e1b9fb84977c73308596e2e5"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a5eceba07e1b9fb84977c73308596e2e5">configure</a> (<a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *input, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *weights, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *bias, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *output, const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *mean, const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *var, const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *beta, const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *gamma, float epsilon, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, unsigned int depth_multiplier, <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> const &fused_act)</td></tr> |
| <tr class="memdesc:a5eceba07e1b9fb84977c73308596e2e5"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output tensors. <a href="#a5eceba07e1b9fb84977c73308596e2e5">More...</a><br /></td></tr> |
| <tr class="separator:a5eceba07e1b9fb84977c73308596e2e5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a13a43e6d814de94978c515cb084873b1"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1">run</a> ()</td></tr> |
| <tr class="memdesc:a13a43e6d814de94978c515cb084873b1"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#a13a43e6d814de94978c515cb084873b1">More...</a><br /></td></tr> |
| <tr class="separator:a13a43e6d814de94978c515cb084873b1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1825b40ca3bc3a1ba67fdb58fac5015c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">prepare</a> ()</td></tr> |
| <tr class="memdesc:a1825b40ca3bc3a1ba67fdb58fac5015c"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="#a1825b40ca3bc3a1ba67fdb58fac5015c">More...</a><br /></td></tr> |
| <tr class="separator:a1825b40ca3bc3a1ba67fdb58fac5015c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr> |
| <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr> |
| <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr> |
| <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><h3>template<typename TargetInfo, typename FusedLayerTypes><br /> |
| class arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes ></h3> |
| |
| <p>Wrapper function to first apply {NE, CL}BatchNormalizationLayer on the weights and then run {NE, CL}DepthwiseConvolutionLayer with the modified weights. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>.</p> |
| </div><h2 class="groupheader">Member Typedef Documentation</h2> |
| <a id="a991b6faefbee1cf7b9cf77647c30a6ec"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a991b6faefbee1cf7b9cf77647c30a6ec">◆ </a></span>TensorConcreteType</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">using <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec">TensorConcreteType</a> = typename TargetInfo::TensorConcreteType</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00043">43</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a4ae2727819a8e5fb0b0d9087e7ebd5ca"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4ae2727819a8e5fb0b0d9087e7ebd5ca">◆ </a></span>TensorType</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">using <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> = typename TargetInfo::TensorType</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00042">42</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>.</p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a39e91240e1eded28bd0efa10b9cbb104"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a39e91240e1eded28bd0efa10b9cbb104">◆ </a></span>FusedDepthwiseConvolutionBatchNormalizationFunction()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > </td> |
| <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00045">45</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  : _depth_conv_layer(memory_manager), _fused_batch_norm_layer(), _fused_bias(), _is_prepared(<span class="keyword">false</span>)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a5eceba07e1b9fb84977c73308596e2e5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5eceba07e1b9fb84977c73308596e2e5">◆ </a></span>configure()</h2> |
| |
| <div class="memitem"> |
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| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void configure </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>weights</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>bias</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>mean</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>beta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> * </td> |
| <td class="paramname"><em>gamma</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>epsilon</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> & </td> |
| <td class="paramname"><em>conv_info</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>depth_multiplier</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> const & </td> |
| <td class="paramname"><em>fused_act</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the input and output tensors. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16/F32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [IFM]. Data type supported: Should match <code>input</code> data type. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">mean</td><td>Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">var</td><td>Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as <code>input</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">gamma</td><td>Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as <code>input</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>Small value to avoid division with zero. Default value is 0.001f. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fused_act</td><td>Activation layer information in case of a fused activation. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00070">70</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// We don't run any validate, as we assume that the layers have been already validated</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *bias_to_use;</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>  <span class="comment">// We check if the layer has a bias. If yes, use it in-place. If not, we need to create one</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// as batch normalization might end up with a bias != 0</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  _fused_batch_norm_layer.configure(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, mean, var, <span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, beta, gamma, <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4">FuseBatchNormalizationType::DEPTHWISECONVOLUTION</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  bias_to_use = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</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="keywordflow">else</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  _fused_batch_norm_layer.configure(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, mean, var, <span class="keyword">nullptr</span>, &_fused_bias, <span class="keyword">nullptr</span>, beta, gamma, <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4">FuseBatchNormalizationType::DEPTHWISECONVOLUTION</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  bias_to_use = &_fused_bias;</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> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  _depth_conv_layer.configure(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, bias_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, fused_act.enabled() ? fused_act : ActivationLayerInfo());</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">if</span>(!<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  _fused_bias.allocator()->allocate();</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>  }</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#l00597">Winograd.cpp:597</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9aeced5a5128f60a31ea3e327a45ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">arm_compute::test::validation::has_bias</a></div><div class="ttdeci">const bool has_bias</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">Im2Col.cpp:147</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a4ae2727819a8e5fb0b0d9087e7ebd5ca"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::TensorType</a></div><div class="ttdeci">typename TargetInfo::TensorType TensorType</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00042">FusedDepthwiseConvolutionBatchNormalizationFunction.h:42</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="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4"><div class="ttname"><a href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4">arm_compute::FuseBatchNormalizationType::DEPTHWISECONVOLUTION</a></div><div class="ttdoc">For Depthwise Convolution weights.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1quantization_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">arm_compute::quantization::epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00036">AsymmHelpers.cpp:36</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">arm_compute::test::validation::bias</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00597">arm_compute::test::validation::conv_info</a>, <a class="el" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4">arm_compute::DEPTHWISECONVOLUTION</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01664">ActivationLayerInfo::enabled()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00036">arm_compute::quantization::epsilon</a>, <a class="el" href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">arm_compute::test::validation::has_bias</a>, <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>, and <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">arm_compute::test::validation::weights</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a1825b40ca3bc3a1ba67fdb58fac5015c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1825b40ca3bc3a1ba67fdb58fac5015c">◆ </a></span>prepare()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void prepare </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Prepare the function for executing. </p> |
| <p>Any one off pre-processing step required by the function is handled here</p> |
| <dl class="section note"><dt>Note</dt><dd>Prepare stage might not need all the function's buffers' backing memory to be available in order to execute </dd></dl> |
| |
| <p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">IFunction</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00112">112</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>.</p> |
| <div class="fragment"><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="keywordflow">if</span>(!_is_prepared)</div><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>  _fused_batch_norm_layer.run();</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  _is_prepared = <span class="keyword">true</span>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00106">FusedDepthwiseConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes >::run()</a>.</p> |
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| </div> |
| </div> |
| <a id="a13a43e6d814de94978c515cb084873b1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a13a43e6d814de94978c515cb084873b1">◆ </a></span>run()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Run the kernels contained in the function. </p> |
| <p>For NEON kernels:</p><ul> |
| <li>Multi-threading is used for the kernels which are parallelisable.</li> |
| <li>By default std::thread::hardware_concurrency() threads are used.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095">CPPScheduler::set_num_threads()</a> can be used to manually set the number of threads</dd></dl> |
| <p>For OpenCL kernels:</p><ul> |
| <li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue.">CLScheduler</a>.</li> |
| <li>The queue is then flushed.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd> |
| <dd> |
| Will call <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c" title="Prepare the function for executing.">prepare()</a> on first run if hasn't been done </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00106">106</a> of file <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a>.</p> |
| <div class="fragment"><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>  <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">prepare</a>();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  _depth_conv_layer.run();</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div><div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a1825b40ca3bc3a1ba67fdb58fac5015c"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::prepare</a></div><div class="ttdeci">void prepare()</div><div class="ttdoc">Prepare the function for executing.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00112">FusedDepthwiseConvolutionBatchNormalizationFunction.h:112</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00112">FusedDepthwiseConvolutionBatchNormalizationFunction< TargetInfo, FusedLayerTypes >::prepare()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>arm_compute/graph/backends/<a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a></li> |
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