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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">NEFuseBatchNormalizationKernel Class Reference</div> </div> |
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| |
| <p>OpenNE kernel to fuse the batch normalization node to a preceding convolution node. |
| <a href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_fuse_batch_normalization_kernel_8h_source.xhtml">NEFuseBatchNormalizationKernel.h</a>></code></p> |
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| Collaboration diagram for NEFuseBatchNormalizationKernel:</div> |
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| <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:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr> |
| <tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft"> </td><td class="mdescRight">Name of the kernel. <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr> |
| <tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac254b18a929efcdd8742b3467ca5c8ff"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ac254b18a929efcdd8742b3467ca5c8ff">NEFuseBatchNormalizationKernel</a> ()</td></tr> |
| <tr class="memdesc:ac254b18a929efcdd8742b3467ca5c8ff"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#ac254b18a929efcdd8742b3467ca5c8ff">More...</a><br /></td></tr> |
| <tr class="separator:ac254b18a929efcdd8742b3467ca5c8ff"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:affe60b815f0625bd4679b1e87ca7e2a1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#affe60b815f0625bd4679b1e87ca7e2a1">NEFuseBatchNormalizationKernel</a> (const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:affe60b815f0625bd4679b1e87ca7e2a1"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#affe60b815f0625bd4679b1e87ca7e2a1">More...</a><br /></td></tr> |
| <tr class="separator:affe60b815f0625bd4679b1e87ca7e2a1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9e0321af8f472dffd74a70d7eb1558e6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a9e0321af8f472dffd74a70d7eb1558e6">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a9e0321af8f472dffd74a70d7eb1558e6"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a9e0321af8f472dffd74a70d7eb1558e6">More...</a><br /></td></tr> |
| <tr class="separator:a9e0321af8f472dffd74a70d7eb1558e6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab040a8816f6320c4e6b20b4e51116c21"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ab040a8816f6320c4e6b20b4e51116c21">NEFuseBatchNormalizationKernel</a> (<a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:ab040a8816f6320c4e6b20b4e51116c21"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#ab040a8816f6320c4e6b20b4e51116c21">More...</a><br /></td></tr> |
| <tr class="separator:ab040a8816f6320c4e6b20b4e51116c21"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8bb7d80eb7f9958e4c8af180f8462b3d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a8bb7d80eb7f9958e4c8af180f8462b3d">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a8bb7d80eb7f9958e4c8af180f8462b3d"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a8bb7d80eb7f9958e4c8af180f8462b3d">More...</a><br /></td></tr> |
| <tr class="separator:a8bb7d80eb7f9958e4c8af180f8462b3d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a39e886f3f2e90491654510f16847ae73"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a39e886f3f2e90491654510f16847ae73">~NEFuseBatchNormalizationKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a39e886f3f2e90491654510f16847ae73"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#a39e886f3f2e90491654510f16847ae73">More...</a><br /></td></tr> |
| <tr class="separator:a39e886f3f2e90491654510f16847ae73"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a245ec81a11c260c325ec481c41b15d96"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a245ec81a11c260c325ec481c41b15d96">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input_weights, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *bn_mean, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *bn_var, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *fused_weights, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *fused_bias, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input_bias=nullptr, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *bn_beta=nullptr, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *bn_gamma=nullptr, float epsilon=0.001f, FuseBatchNormalizationType fbn_type=FuseBatchNormalizationType::CONVOLUTION)</td></tr> |
| <tr class="memdesc:a245ec81a11c260c325ec481c41b15d96"><td class="mdescLeft"> </td><td class="mdescRight">Set the source, destination of the kernel. <a href="#a245ec81a11c260c325ec481c41b15d96">More...</a><br /></td></tr> |
| <tr class="separator:a245ec81a11c260c325ec481c41b15d96"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &info) override</td></tr> |
| <tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft"> </td><td class="mdescRight">Execute the kernel on the passed window. <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr> |
| <tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr> |
| <tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr> |
| <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr> |
| <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr> |
| <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr> |
| <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr> |
| <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr> |
| <tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr> |
| <tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr> |
| <tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr> |
| <tr class="separator:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr> |
| <tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr> |
| <tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:a0edd3b29f8bd62c14d3c08483f0234d8"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a0edd3b29f8bd62c14d3c08483f0234d8">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_weights, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *bn_mean, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *bn_var, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *fused_weights, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *fused_bias, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_bias=nullptr, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *bn_beta=nullptr, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *bn_gamma=nullptr, float epsilon=0.001f, FuseBatchNormalizationType fbn_type=FuseBatchNormalizationType::CONVOLUTION)</td></tr> |
| <tr class="memdesc:a0edd3b29f8bd62c14d3c08483f0234d8"><td class="mdescLeft"> </td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a>. <a href="#a0edd3b29f8bd62c14d3c08483f0234d8">More...</a><br /></td></tr> |
| <tr class="separator:a0edd3b29f8bd62c14d3c08483f0234d8"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>OpenNE kernel to fuse the batch normalization node to a preceding convolution node. </p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_kernel_8h_source.xhtml#l00035">35</a> of file <a class="el" href="_n_e_fuse_batch_normalization_kernel_8h_source.xhtml">NEFuseBatchNormalizationKernel.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="ac254b18a929efcdd8742b3467ca5c8ff"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac254b18a929efcdd8742b3467ca5c8ff">◆ </a></span>NEFuseBatchNormalizationKernel() <span class="overload">[1/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p>Default constructor. </p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00416">416</a> of file <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml">NEFuseBatchNormalizationKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  : _input_weights(<span class="keyword">nullptr</span>), _input_bias(<span class="keyword">nullptr</span>), _bn_mean(<span class="keyword">nullptr</span>), _bn_var(<span class="keyword">nullptr</span>), _bn_gamma(<span class="keyword">nullptr</span>), _bn_beta(<span class="keyword">nullptr</span>), _fused_weights(<span class="keyword">nullptr</span>), _fused_bias(<span class="keyword">nullptr</span>), _epsilon(),</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  _run_in_place_weights(<span class="keyword">false</span>), _run_in_place_bias(<span class="keyword">false</span>), _func(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> {</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="affe60b815f0625bd4679b1e87ca7e2a1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#affe60b815f0625bd4679b1e87ca7e2a1">◆ </a></span>NEFuseBatchNormalizationKernel() <span class="overload">[2/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| </div> |
| </div> |
| <a id="ab040a8816f6320c4e6b20b4e51116c21"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab040a8816f6320c4e6b20b4e51116c21">◆ </a></span>NEFuseBatchNormalizationKernel() <span class="overload">[3/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Allow instances of this class to be moved. </p> |
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| </div> |
| </div> |
| <a id="a39e886f3f2e90491654510f16847ae73"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a39e886f3f2e90491654510f16847ae73">◆ </a></span>~NEFuseBatchNormalizationKernel()</h2> |
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| <td class="memname">~<a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
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| </div><div class="memdoc"> |
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| <p>Default destructor. </p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a245ec81a11c260c325ec481c41b15d96"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a245ec81a11c260c325ec481c41b15d96">◆ </a></span>configure()</h2> |
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| <td class="memname">void configure </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>input_weights</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>bn_mean</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>bn_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>fused_weights</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>fused_bias</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>input_bias</em> = <code>nullptr</code>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>bn_beta</em> = <code>nullptr</code>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>bn_gamma</em> = <code>nullptr</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>epsilon</em> = <code>0.001f</code>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0ca">FuseBatchNormalizationType</a> </td> |
| <td class="paramname"><em>fbn_type</em> = <code><a class="el" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caaf7fb587bad912d390b57a5d6e7ccc55d">FuseBatchNormalizationType::CONVOLUTION</a></code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </div><div class="memdoc"> |
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| <p>Set the source, destination of the kernel. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_weights</td><td>Input weights tensor for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_mean</td><td>Batch normalization layer mean tensor. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_var</td><td>Batch normalization layer variance tensor. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">fused_weights</td><td>(Optional) Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">fused_bias</td><td>(Optional) Output fused bias tensor. It can be a nullptr in case of in-place computation and input_bias != nullptr. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_bias</td><td>(Optional) Input bias tensor for convolution or depthwise convolution layer. It can be a nullptr in case the bias tensor is not required. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_beta</td><td>(Optional) Batch normalization layer beta tensor. It can be a nullptr in case the beta tensor is not required. Same as <code>input_weights</code> </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section note"><dt>Note</dt><dd>if nullptr, bn_beta is set to 0.0 </dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_gamma</td><td>(Optional) Batch normalization layer gamma tensor. It can be a nullptr in case the gamma tensor is not required. Same as <code>input_weights</code> </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section note"><dt>Note</dt><dd>if nullptr, bn_gamma is set to 1.0 </dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fbn_type</td><td>(Optional) Fused batch normalization type. Defaults to CONVOLUTION. </td></tr> |
| </table> |
| </dd> |
| </dl> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00422">422</a> of file <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml">NEFuseBatchNormalizationKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input_weights, bn_mean, bn_var);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  _input_weights = input_weights;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  _input_bias = input_bias;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  _bn_mean = bn_mean;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  _bn_var = bn_var;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  _bn_beta = bn_beta;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  _bn_gamma = bn_gamma;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  _fused_weights = fused_weights;</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  _fused_bias = fused_bias;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  _epsilon = <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>;</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  _run_in_place_weights = (fused_weights == <span class="keyword">nullptr</span>) || (fused_weights == input_weights);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  _run_in_place_bias = (fused_bias == <span class="keyword">nullptr</span>) || (input_bias != <span class="keyword">nullptr</span> && fused_bias == input_bias);</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="comment">// Auto initialize outputs</span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">if</span>(_fused_weights != <span class="keyword">nullptr</span>)</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">// Output tensor auto initialization if not yet initialized</span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">auto_init_if_empty</a>(*_fused_weights-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *_input_weights-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>());</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  fused_weights->info()->set_valid_region(input_weights->info()->valid_region());</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">if</span>(_fused_bias != <span class="keyword">nullptr</span>)</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>  <span class="comment">// Output tensor auto initialization if not yet initialized</span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">auto_init_if_empty</a>(*_fused_bias-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *_bn_mean-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>());</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  _fused_bias-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">set_valid_region</a>(bn_mean->info()->valid_region());</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</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="comment">// Validate arguments</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input_weights->info(), bn_mean->info(), bn_var->info(),</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  (fused_weights != <span class="keyword">nullptr</span>) ? fused_weights->info() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  (fused_bias != <span class="keyword">nullptr</span>) ? fused_bias->info() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  (input_bias != <span class="keyword">nullptr</span>) ? input_bias->info() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  (bn_beta != <span class="keyword">nullptr</span>) ? bn_beta->info() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  (bn_gamma != <span class="keyword">nullptr</span>) ? bn_gamma->info() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, fbn_type));</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  Window win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*input_weights->info());</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  INEKernel::configure(win);</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="comment">// Configure function</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">static</span> std::map<std::string, FuseBatchNormFunction *> map_function =</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>  { <span class="stringliteral">"fused_batch_normalization_conv_NHWC_F32"</span>, &fused_batch_normalization_conv<wrapper::traits::neon_vector<float, 4>> },</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  { <span class="stringliteral">"fused_batch_normalization_conv_NCHW_F32"</span>, &fused_batch_normalization_conv<wrapper::traits::neon_vector<float, 4>> },</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  { <span class="stringliteral">"fused_batch_normalization_dwc_NHWC_F32"</span>, &fused_batch_normalization_dwc_nhwc<wrapper::traits::neon_vector<float, 4>> },</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  { <span class="stringliteral">"fused_batch_normalization_dwc_NCHW_F32"</span>, &fused_batch_normalization_dwc_nchw<wrapper::traits::neon_vector<float, 4>> },</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> <span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  { <span class="stringliteral">"fused_batch_normalization_conv_NHWC_F16"</span>, &fused_batch_normalization_conv<wrapper::traits::neon_vector<float16_t, 8>> },</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  { <span class="stringliteral">"fused_batch_normalization_conv_NCHW_F16"</span>, &fused_batch_normalization_conv<wrapper::traits::neon_vector<float16_t, 8>> },</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  { <span class="stringliteral">"fused_batch_normalization_dwc_NHWC_F16"</span>, &fused_batch_normalization_dwc_nhwc<wrapper::traits::neon_vector<float16_t, 8>> },</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  { <span class="stringliteral">"fused_batch_normalization_dwc_NCHW_F16"</span>, &fused_batch_normalization_dwc_nchw<wrapper::traits::neon_vector<float16_t, 8>> },</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  };</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  std::string function_to_call(<span class="stringliteral">"fused_batch_normalization_"</span>);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  function_to_call += fbn_type == <a class="code" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caaf7fb587bad912d390b57a5d6e7ccc55d">FuseBatchNormalizationType::CONVOLUTION</a> ? <span class="stringliteral">"conv_"</span> : <span class="stringliteral">"dwc_"</span>;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  function_to_call += <a class="code" href="namespacearm__compute.xhtml#a56b9e25c2e8731ca5488e7b3ccd66f58">string_from_data_layout</a>(_input_weights-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>());</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  function_to_call += <span class="stringliteral">"_"</span>;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  function_to_call += <a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(_input_weights-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keyword">auto</span> it = map_function.find(function_to_call);</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">if</span>(it != map_function.end())</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  _func = it->second;</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> }</div><div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afb7e3dd8a833840aaaf618bd43ead0caaf7fb587bad912d390b57a5d6e7ccc55d"><div class="ttname"><a href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caaf7fb587bad912d390b57a5d6e7ccc55d">arm_compute::FuseBatchNormalizationType::CONVOLUTION</a></div><div class="ttdoc">For Convolution weights.</div></div> |
| <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00455">Error.h:455</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a9586081a29fceb532ab270bd843abee6"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">arm_compute::ITensorInfo::set_valid_region</a></div><div class="ttdeci">virtual void set_valid_region(const ValidRegion &valid_region)=0</div><div class="ttdoc">Set the valid region of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a47be6fa38308d0003c25b60b7dbc45ce"><div class="ttname"><a href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">arm_compute::auto_init_if_empty</a></div><div class="ttdeci">bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())</div><div class="ttdoc">Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00202">Helpers.inl:202</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a142b55a483cadf4e1068a1a09a55e8e9"><div class="ttname"><a href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">arm_compute::string_from_data_type</a></div><div class="ttdeci">const std::string & string_from_data_type(DataType dt)</div><div class="ttdoc">Convert a data type identity into a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00144">Utils.cpp:144</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr< T > clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T.</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 class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a56b9e25c2e8731ca5488e7b3ccd66f58"><div class="ttname"><a href="namespacearm__compute.xhtml#a56b9e25c2e8731ca5488e7b3ccd66f58">arm_compute::string_from_data_layout</a></div><div class="ttdeci">const std::string & string_from_data_layout(DataLayout dl)</div><div class="ttdoc">Convert a data layout identity into a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00132">Utils.cpp:132</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a367b5090ab432bc7de2c32369e087ab1"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">arm_compute::ITensorInfo::data_layout</a></div><div class="ttdeci">virtual DataLayout data_layout() const =0</div><div class="ttdoc">Get the data layout of the tensor.</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="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00455">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00202">arm_compute::auto_init_if_empty()</a>, <a class="el" href="src_2core_2_helpers_8cpp_source.xhtml#l00028">arm_compute::calculate_max_window()</a>, <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable< T >::clone()</a>, <a class="el" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caaf7fb587bad912d390b57a5d6e7ccc55d">arm_compute::CONVOLUTION</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">ITensorInfo::data_layout()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00036">arm_compute::quantization::epsilon</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">ITensorInfo::set_valid_region()</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00132">arm_compute::string_from_data_layout()</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00144">arm_compute::string_from_data_type()</a>, and <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">ITensorInfo::valid_region()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml#l00039">NEFuseBatchNormalization::configure()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ab5656bb5b6334bdbe6e606c715872828"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">◆ </a></span>name()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">const char* name </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| </div><div class="memdoc"> |
| |
| <p>Name of the kernel. </p> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> name </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_kernel_8h_source.xhtml#l00038">38</a> of file <a class="el" href="_n_e_fuse_batch_normalization_kernel_8h_source.xhtml">NEFuseBatchNormalizationKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NEFuseBatchNormalizationKernel"</span>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a9e0321af8f472dffd74a70d7eb1558e6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9e0321af8f472dffd74a70d7eb1558e6">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
| |
| </div> |
| </div> |
| <a id="a8bb7d80eb7f9958e4c8af180f8462b3d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8bb7d80eb7f9958e4c8af180f8462b3d">◆ </a></span>operator=() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
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| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allow instances of this class to be moved. </p> |
| |
| </div> |
| </div> |
| <a id="a112b35dd205c62ea6ed1447ef226da82"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a112b35dd205c62ea6ed1447ef226da82">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
| <td class="paramname"><em>window</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> & </td> |
| <td class="paramname"><em>info</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">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Execute the kernel on the passed window. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b" title="Indicates whether or not the kernel is parallelisable.">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a></dd></dl> |
| <dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a> method</dd> |
| <dd> |
| The width of the window has to be a multiple of <a class="el" href="_c_l_im2_col_kernel_8cpp.xhtml#a4e45c1f5e4280813a78a77dda71d8799">num_elems_processed_per_iteration()</a>.</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00507">507</a> of file <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml">NEFuseBatchNormalizationKernel.cpp</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="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">IKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  (*_func)(_input_weights, _input_bias, _fused_weights, _fused_bias, _bn_mean, _bn_var, _bn_beta, _bn_gamma, _epsilon, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> }</div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</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#l00152">Error.h:152</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="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00941">Validate.h:941</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00941">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">arm_compute::test::validation::info</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
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| </div> |
| <a id="a0edd3b29f8bd62c14d3c08483f0234d8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0edd3b29f8bd62c14d3c08483f0234d8">◆ </a></span>validate()</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_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input_weights</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>bn_mean</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>bn_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>fused_weights</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>fused_bias</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input_bias</em> = <code>nullptr</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>bn_beta</em> = <code>nullptr</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>bn_gamma</em> = <code>nullptr</code>, </td> |
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| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>epsilon</em> = <code>0.001f</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0ca">FuseBatchNormalizationType</a> </td> |
| <td class="paramname"><em>fbn_type</em> = <code><a class="el" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caaf7fb587bad912d390b57a5d6e7ccc55d">FuseBatchNormalizationType::CONVOLUTION</a></code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
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| </div><div class="memdoc"> |
| |
| <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml">NEFuseBatchNormalizationKernel</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_weights</td><td>Input weights tensor info for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_mean</td><td>Batch normalization layer mean tensor info. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_var</td><td>Batch normalization layer variance tensor info. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fused_weights</td><td>(Optional) Output fused weights tensor info. It can be a nullptr in case of in-place computation. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fused_bias</td><td>(Optional) Output fused bias tensor info. It can be a nullptr in case of in-place computation and input_bias != nullptr. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_bias</td><td>(Optional) Input bias tensor info for convolution or depthwise convolution layer. It can be a nullptr in case the bias tensor is not required. Same as <code>input_weights</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_beta</td><td>(Optional) Batch normalization layer beta tensor info. It can be a nullptr in case the beta tensor is not required. Same as <code>input_weights</code> </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section note"><dt>Note</dt><dd>if nullptr, bn_beta is set to 0.0 </dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">bn_gamma</td><td>(Optional) Batch normalization layer gamma tensor info. It can be a nullptr in case the gamma tensor is not required. Same as <code>input_weights</code> </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section note"><dt>Note</dt><dd>if nullptr, bn_gamma is set to 1.0 </dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fbn_type</td><td>(Optional) Fused batch normalization type. Defaults to CONVOLUTION.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00498">498</a> of file <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml">NEFuseBatchNormalizationKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> {</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, fbn_type));</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> }</div><div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00204">Error.h:204</a></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="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, and <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00036">arm_compute::quantization::epsilon</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml#l00047">NEFuseBatchNormalization::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_fuse_batch_normalization_kernel_8h_source.xhtml">NEFuseBatchNormalizationKernel.h</a></li> |
| <li>src/core/NEON/kernels/<a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml">NEFuseBatchNormalizationKernel.cpp</a></li> |
| </ul> |
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