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| |
| <p>Basic function to fuse the batch normalization node to a preceding convolution node. |
| <a href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_fuse_batch_normalization_8h_source.xhtml">NEFuseBatchNormalization.h</a>></code></p> |
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| Collaboration diagram for NEFuseBatchNormalization:</div> |
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| Public Member Functions</h2></td></tr> |
| <tr class="memitem:a8c9f3b1b8b437c75f10a29c6464c7f57"><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.xhtml#a8c9f3b1b8b437c75f10a29c6464c7f57">NEFuseBatchNormalization</a> ()</td></tr> |
| <tr class="memdesc:a8c9f3b1b8b437c75f10a29c6464c7f57"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#a8c9f3b1b8b437c75f10a29c6464c7f57">More...</a><br /></td></tr> |
| <tr class="separator:a8c9f3b1b8b437c75f10a29c6464c7f57"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aaa015eb4547a5cb0a9cb6adf3142dc66"><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.xhtml#aaa015eb4547a5cb0a9cb6adf3142dc66">NEFuseBatchNormalization</a> (const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> &)=delete</td></tr> |
| <tr class="memdesc:aaa015eb4547a5cb0a9cb6adf3142dc66"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#aaa015eb4547a5cb0a9cb6adf3142dc66">More...</a><br /></td></tr> |
| <tr class="separator:aaa015eb4547a5cb0a9cb6adf3142dc66"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a56ab00d5b55e8d69ca5ff62077cd7d3c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a56ab00d5b55e8d69ca5ff62077cd7d3c">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> &)=delete</td></tr> |
| <tr class="memdesc:a56ab00d5b55e8d69ca5ff62077cd7d3c"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a56ab00d5b55e8d69ca5ff62077cd7d3c">More...</a><br /></td></tr> |
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| <tr class="memitem:ab207569c8578c566b0eb1b6afc1a0ec5"><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.xhtml#ab207569c8578c566b0eb1b6afc1a0ec5">NEFuseBatchNormalization</a> (<a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> &&)=default</td></tr> |
| <tr class="memdesc:ab207569c8578c566b0eb1b6afc1a0ec5"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#ab207569c8578c566b0eb1b6afc1a0ec5">More...</a><br /></td></tr> |
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| <tr class="memitem:a9c012d39bef2e18aa563cb78a4f7a646"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a9c012d39bef2e18aa563cb78a4f7a646">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> &&)=default</td></tr> |
| <tr class="memdesc:a9c012d39bef2e18aa563cb78a4f7a646"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a9c012d39bef2e18aa563cb78a4f7a646">More...</a><br /></td></tr> |
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| <tr class="memitem:a19c2c9ac94f0fd6cd26cded1a35dbbbd"><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.xhtml#a19c2c9ac94f0fd6cd26cded1a35dbbbd">~NEFuseBatchNormalization</a> ()=default</td></tr> |
| <tr class="memdesc:a19c2c9ac94f0fd6cd26cded1a35dbbbd"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#a19c2c9ac94f0fd6cd26cded1a35dbbbd">More...</a><br /></td></tr> |
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| <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.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 input and output tensors. <a href="#a245ec81a11c260c325ec481c41b15d96">More...</a><br /></td></tr> |
| <tr class="separator:a245ec81a11c260c325ec481c41b15d96"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><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.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr> |
| <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr> |
| <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><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> |
| <tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr> |
| <tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr> |
| <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><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.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.xhtml">NEFuseBatchNormalization</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>Basic function to fuse the batch normalization node to a preceding convolution node. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_8h_source.xhtml#l00038">38</a> of file <a class="el" href="_n_e_fuse_batch_normalization_8h_source.xhtml">NEFuseBatchNormalization.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a8c9f3b1b8b437c75f10a29c6464c7f57"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8c9f3b1b8b437c75f10a29c6464c7f57">◆ </a></span>NEFuseBatchNormalization() <span class="overload">[1/3]</span></h2> |
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| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </div><div class="memdoc"> |
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| <p>Default constructor. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml#l00034">34</a> of file <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml">NEFuseBatchNormalization.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  : _fuse_bn_kernel()</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div></div><!-- fragment --> |
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| <a id="aaa015eb4547a5cb0a9cb6adf3142dc66"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aaa015eb4547a5cb0a9cb6adf3142dc66">◆ </a></span>NEFuseBatchNormalization() <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.xhtml">NEFuseBatchNormalization</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> & </td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| <a id="ab207569c8578c566b0eb1b6afc1a0ec5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab207569c8578c566b0eb1b6afc1a0ec5">◆ </a></span>NEFuseBatchNormalization() <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.xhtml">NEFuseBatchNormalization</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a> && </td> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a19c2c9ac94f0fd6cd26cded1a35dbbbd">◆ </a></span>~NEFuseBatchNormalization()</h2> |
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| <td class="memname">~<a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</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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| <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> |
| </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>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.xhtml">ITensor</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.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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| <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_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_8cpp_source.xhtml#l00039">39</a> of file <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml">NEFuseBatchNormalization.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  _fuse_bn_kernel.<a class="code" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a245ec81a11c260c325ec481c41b15d96">configure</a>(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="l00045"></a><span class="lineno"> 45</span> }</div><div class="ttc" id="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel_xhtml_a245ec81a11c260c325ec481c41b15d96"><div class="ttname"><a href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a245ec81a11c260c325ec481c41b15d96">arm_compute::NEFuseBatchNormalizationKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input_weights, const ITensor *bn_mean, const ITensor *bn_var, ITensor *fused_weights, ITensor *fused_bias, const ITensor *input_bias=nullptr, const ITensor *bn_beta=nullptr, const ITensor *bn_gamma=nullptr, float epsilon=0.001f, FuseBatchNormalizationType fbn_type=FuseBatchNormalizationType::CONVOLUTION)</div><div class="ttdoc">Set the source, destination of the kernel.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00422">NEFuseBatchNormalizationKernel.cpp:422</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> |
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| <p class="reference">References <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00422">NEFuseBatchNormalizationKernel::configure()</a>, and <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00036">arm_compute::quantization::epsilon</a>.</p> |
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| <a id="a56ab00d5b55e8d69ca5ff62077cd7d3c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a56ab00d5b55e8d69ca5ff62077cd7d3c">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</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">delete</span></span> </td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| <a id="a9c012d39bef2e18aa563cb78a4f7a646"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9c012d39bef2e18aa563cb78a4f7a646">◆ </a></span>operator=() <span class="overload">[2/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml">NEFuseBatchNormalization</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> |
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| <p>Allow instances of this class to be moved. </p> |
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| <a id="ad1717410afd0be936c6213a63c8005fb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad1717410afd0be936c6213a63c8005fb">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
| <td>(</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">override</span><span class="mlabel">virtual</span></span> </td> |
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| <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_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing.">prepare()</a> on first run if hasn't been done </dd></dl> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml#l00055">55</a> of file <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml">NEFuseBatchNormalization.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">NEScheduler::get</a>().<a class="code" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">schedule</a>(&_fuse_bn_kernel, <a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> }</div><div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_scheduler_xhtml_a4e58f95544bd5ac6559a421671bd9842"><div class="ttname"><a href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">arm_compute::IScheduler::schedule</a></div><div class="ttdeci">virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0</div><div class="ttdoc">Runs the kernel in the same thread as the caller synchronously.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_scheduler_xhtml_a0d63ca713bab377aabcfb63c192b8429"><div class="ttname"><a href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">arm_compute::Scheduler::get</a></div><div class="ttdeci">static IScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_scheduler_8cpp_source.xhtml#l00095">Scheduler.cpp:95</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_window_8h_source.xhtml#l00045">Window::DimY</a>, <a class="el" href="_scheduler_8cpp_source.xhtml#l00095">Scheduler::get()</a>, and <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">IScheduler::schedule()</a>.</p> |
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| <a id="a0edd3b29f8bd62c14d3c08483f0234d8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0edd3b29f8bd62c14d3c08483f0234d8">◆ </a></span>validate()</h2> |
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| <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> |
| </tr> |
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| <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> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
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| <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.xhtml">NEFuseBatchNormalization</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_8cpp_source.xhtml#l00047">47</a> of file <a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml">NEFuseBatchNormalization.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a0edd3b29f8bd62c14d3c08483f0234d8">NEFuseBatchNormalizationKernel::validate</a>(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="l00053"></a><span class="lineno"> 53</span> }</div><div class="ttc" id="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel_xhtml_a0edd3b29f8bd62c14d3c08483f0234d8"><div class="ttname"><a href="classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a0edd3b29f8bd62c14d3c08483f0234d8">arm_compute::NEFuseBatchNormalizationKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var, const ITensorInfo *fused_weights, const ITensorInfo *fused_bias, const ITensorInfo *input_bias=nullptr, const ITensorInfo *bn_beta=nullptr, const ITensorInfo *bn_gamma=nullptr, float epsilon=0.001f, FuseBatchNormalizationType fbn_type=FuseBatchNormalizationType::CONVOLUTION)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEFuseBatchNormalization...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00498">NEFuseBatchNormalizationKernel.cpp:498</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="_asymm_helpers_8cpp_source.xhtml#l00036">arm_compute::quantization::epsilon</a>, and <a class="el" href="_n_e_fuse_batch_normalization_kernel_8cpp_source.xhtml#l00498">NEFuseBatchNormalizationKernel::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_fuse_batch_normalization_8h_source.xhtml">NEFuseBatchNormalization.h</a></li> |
| <li>src/runtime/NEON/functions/<a class="el" href="_n_e_fuse_batch_normalization_8cpp_source.xhtml">NEFuseBatchNormalization.cpp</a></li> |
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