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| <div class="title">GCFullyConnectedLayer Class Reference</div> </div> |
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| |
| <p>Basic function to compute a Fully Connected layer on OpenGL ES. |
| <a href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml">GCFullyConnectedLayer.h</a>></code></p> |
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| Collaboration diagram for GCFullyConnectedLayer:</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:a9a413ba9ad1a976d6241f24069650ae6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a9a413ba9ad1a976d6241f24069650ae6">GCFullyConnectedLayer</a> (std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > memory_manager=nullptr, <a class="el" href="classarm__compute_1_1_i_weights_manager.xhtml">IWeightsManager</a> *weights_manager=nullptr)</td></tr> |
| <tr class="memdesc:a9a413ba9ad1a976d6241f24069650ae6"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a9a413ba9ad1a976d6241f24069650ae6">More...</a><br /></td></tr> |
| <tr class="separator:a9a413ba9ad1a976d6241f24069650ae6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae0f01ba4f5cc1a098a555552e2316b58"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ae0f01ba4f5cc1a098a555552e2316b58">GCFullyConnectedLayer</a> (const <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> &)=delete</td></tr> |
| <tr class="memdesc:ae0f01ba4f5cc1a098a555552e2316b58"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#ae0f01ba4f5cc1a098a555552e2316b58">More...</a><br /></td></tr> |
| <tr class="separator:ae0f01ba4f5cc1a098a555552e2316b58"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a840ecacfbb054d2245e1864e61178421"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a840ecacfbb054d2245e1864e61178421">GCFullyConnectedLayer</a> (<a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> &&)=default</td></tr> |
| <tr class="memdesc:a840ecacfbb054d2245e1864e61178421"><td class="mdescLeft"> </td><td class="mdescRight">Default move constructor. <a href="#a840ecacfbb054d2245e1864e61178421">More...</a><br /></td></tr> |
| <tr class="separator:a840ecacfbb054d2245e1864e61178421"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0f630efcedbbbc70828b135558481d0a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0f630efcedbbbc70828b135558481d0a">operator=</a> (const <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> &)=delete</td></tr> |
| <tr class="memdesc:a0f630efcedbbbc70828b135558481d0a"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a0f630efcedbbbc70828b135558481d0a">More...</a><br /></td></tr> |
| <tr class="separator:a0f630efcedbbbc70828b135558481d0a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af0b25842ef10cd339adaff0d90a991a6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#af0b25842ef10cd339adaff0d90a991a6">operator=</a> (<a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> &&)=default</td></tr> |
| <tr class="memdesc:af0b25842ef10cd339adaff0d90a991a6"><td class="mdescLeft"> </td><td class="mdescRight">Default move assignment operator. <a href="#af0b25842ef10cd339adaff0d90a991a6">More...</a><br /></td></tr> |
| <tr class="separator:af0b25842ef10cd339adaff0d90a991a6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0effb36388142226203c802f31614634"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0effb36388142226203c802f31614634">configure</a> (const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *weights, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *biases, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *output, <a class="el" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> fc_info=<a class="el" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a>())</td></tr> |
| <tr class="memdesc:a0effb36388142226203c802f31614634"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output tensors. <a href="#a0effb36388142226203c802f31614634">More...</a><br /></td></tr> |
| <tr class="separator:a0effb36388142226203c802f31614634"><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_g_c_fully_connected_layer.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="memitem:aa9b93ef660fc3c5b4b19d3fc7b891b77"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a> () override</td></tr> |
| <tr class="memdesc:aa9b93ef660fc3c5b4b19d3fc7b891b77"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="#aa9b93ef660fc3c5b4b19d3fc7b891b77">More...</a><br /></td></tr> |
| <tr class="separator:aa9b93ef660fc3c5b4b19d3fc7b891b77"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr> |
| <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr> |
| <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr> |
| <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Basic function to compute a Fully Connected layer on OpenGL ES. </p> |
| <p>This function calls the following OpenGL ES kernels:</p> |
| <ol type="1"> |
| <li><a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml">GCIm2ColKernel</a> (called when the input comes from a convolutional layer)</li> |
| <li><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml">GCFullyConnectedLayerReshapeWeights</a> (if <code>are_weights_reshaped</code> is set to false and transpose_weights is set to true ) (called once)</li> |
| <li><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a></li> |
| <li><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml">GCGEMMMatrixAccumulateBiasesKernel</a> (if <code>biases</code> is not equal to nullptr)</li> |
| </ol> |
| <dl class="section note"><dt>Note</dt><dd>The fully connected layer accepts "weights" tensors only with 2 dimensions. </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml#l00064">64</a> of file <a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml">GCFullyConnectedLayer.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a9a413ba9ad1a976d6241f24069650ae6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9a413ba9ad1a976d6241f24069650ae6">◆ </a></span>GCFullyConnectedLayer() <span class="overload">[1/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > </td> |
| <td class="paramname"><em>memory_manager</em> = <code>nullptr</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_weights_manager.xhtml">IWeightsManager</a> * </td> |
| <td class="paramname"><em>weights_manager</em> = <code>nullptr</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Constructor. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00041">41</a> of file <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml">GCFullyConnectedLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  : _memory_group(std::move(memory_manager)), _weights_manager(std::move(weights_manager)), _im2col_kernel(), _reshape_weights_kernel(), _mm_kernel(), _accumulate_biases_kernel(), _im2col_output(),</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  _reshape_weights_output(), _original_weights(<span class="keyword">nullptr</span>), _are_weights_reshaped(<span class="keyword">true</span>), _is_fc_after_conv(<span class="keyword">true</span>), _accumulate_biases(<span class="keyword">false</span>)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="ae0f01ba4f5cc1a098a555552e2316b58"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae0f01ba4f5cc1a098a555552e2316b58">◆ </a></span>GCFullyConnectedLayer() <span class="overload">[2/3]</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_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</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="a840ecacfbb054d2245e1864e61178421"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a840ecacfbb054d2245e1864e61178421">◆ </a></span>GCFullyConnectedLayer() <span class="overload">[3/3]</span></h2> |
| |
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| <div class="memproto"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</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>Default move constructor. </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a0effb36388142226203c802f31614634"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0effb36388142226203c802f31614634">◆ </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_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>input</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>weights</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>biases</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> * </td> |
| <td class="paramname"><em>output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> </td> |
| <td class="paramname"><em>fc_info</em> = <code><a class="el" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a>()</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the input and output tensors. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. Data type supported: F16/F32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. The weights must be 2 dimensional. Data type supported: Same as <code>input</code> </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Bias tensor. It can be nullptr. Data type supported:Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: Same as <code>input</code>. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fc_info</td><td>(Optional) Fully connected layer additional info </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00082">82</a> of file <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml">GCFullyConnectedLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="_validate_8h.xhtml#a5befbfaf6bc224eabc58b5e88b1de6d1">ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, output);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-><a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">num_dimensions</a>() > 2);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  _original_weights = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  _are_weights_reshaped = fc_info.<a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a11851649b6a7cd12ae25cf72b769cfb9">transpose_weights</a> ? fc_info.<a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a146a7be9d813ad80abb72a0bf6566cbc">are_weights_reshaped</a> : <span class="keyword">true</span>;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  _is_fc_after_conv = <span class="keyword">true</span>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  _accumulate_biases = <span class="keyword">false</span>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span>(biases != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="_validate_8h.xhtml#a5befbfaf6bc224eabc58b5e88b1de6d1">ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, biases);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  _accumulate_biases = <span class="keyword">true</span>;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Configure accumulate biases kernel</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  _accumulate_biases_kernel.<a class="code" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aebd765d07fc0c9401ec83025aa0e13de">configure</a>(output, biases);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// With the Fully Connected layer we can have 4 different cases:</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// 1) Convolution layer -> Fully Connected layer without batches</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// 2) Fully Connected layer -> Fully Connected layer without batches</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// 3) Convolution layer -> Fully Connected layer with batches</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// 4) Fully Connected layer -> Fully Connected layer with batches</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *weights_to_use = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">if</span>(!_are_weights_reshaped)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  weights_to_use = &_reshape_weights_output;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// Reshape the weights</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  _reshape_weights_kernel.<a class="code" href="classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml#aa029e9740bc43eb3301316be76be3b7e">configure</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, &_reshape_weights_output);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Check if we have a fully connected layer with batches</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_batched_fc_layer = output-><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#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1) > 1;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span>(is_batched_fc_layer)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  _is_fc_after_conv = (<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">TensorShape::num_max_dimensions</a> >= 4) && (std::equal(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>->info()->tensor_shape().cbegin() + 3,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>->info()->tensor_shape().cend(),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  output-><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#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d">cbegin</a>() + 1));</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  _is_fc_after_conv = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>->info()->num_dimensions() > 1;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span>(_is_fc_after_conv)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Fully Connected layer after a Convolution Layer without batches</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  configure_conv_fc(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, weights_to_use, output);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Fully Connected layer after a Fully Connected Layer without batches</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  configure_fc_fc(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, weights_to_use, output);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(fc_info.<a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a4f87c5060cca01305f94a9d2f10e9d83">retain_internal_weights</a> && _reshape_weights_output.<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#acccf4173f8c67e6f93ea3353c9590c9e">gc_buffer</a>() == 0);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  _are_weights_reshaped = _are_weights_reshaped || fc_info.<a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a4f87c5060cca01305f94a9d2f10e9d83">retain_internal_weights</a>;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor.cpp:41</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a5befbfaf6bc224eabc58b5e88b1de6d1"><div class="ttname"><a href="_validate_8h.xhtml#a5befbfaf6bc224eabc58b5e88b1de6d1">ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00543">Validate.h:543</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_fully_connected_layer_info_xhtml_a4f87c5060cca01305f94a9d2f10e9d83"><div class="ttname"><a href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a4f87c5060cca01305f94a9d2f10e9d83">arm_compute::FullyConnectedLayerInfo::retain_internal_weights</a></div><div class="ttdeci">bool retain_internal_weights</div><div class="ttdoc">Retain internal reshaped weights.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00808">Types.h:808</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_g_c_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_tensor.xhtml">arm_compute::IGCTensor</a></div><div class="ttdoc">Interface for GLES Compute tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_tensor_8h_source.xhtml#l00035">IGCTensor.h:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a13622133d9b41900a6a3e8f89e59a78b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">arm_compute::TensorInfo::num_dimensions</a></div><div class="ttdeci">size_t num_dimensions() const override</div><div class="ttdoc">The number of dimensions of the tensor (rank)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00253">TensorInfo.h:253</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_acccf4173f8c67e6f93ea3353c9590c9e"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#acccf4173f8c67e6f93ea3353c9590c9e">arm_compute::GCTensor::gc_buffer</a></div><div class="ttdeci">GLuint gc_buffer() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's gles compute buffer id.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00054">GCTensor.cpp:54</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="structarm__compute_1_1_fully_connected_layer_info_xhtml_a146a7be9d813ad80abb72a0bf6566cbc"><div class="ttname"><a href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a146a7be9d813ad80abb72a0bf6566cbc">arm_compute::FullyConnectedLayerInfo::are_weights_reshaped</a></div><div class="ttdeci">bool are_weights_reshaped</div><div class="ttdoc">Reshape the weights tensor if false.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00807">Types.h:807</a></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_aadf5c9cff86327b96d88d04649d9715e"><div class="ttname"><a href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00790">Validate.h:790</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights_xhtml_aa029e9740bc43eb3301316be76be3b7e"><div class="ttname"><a href="classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml#aa029e9740bc43eb3301316be76be3b7e">arm_compute::GCFullyConnectedLayerReshapeWeights::configure</a></div><div class="ttdeci">void configure(const IGCTensor *input, IGCTensor *output)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00034">GCFullyConnectedLayer.cpp:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a8c9efb4e1ad142d58d65af400f20217d"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d">arm_compute::Dimensions::cbegin</a></div><div class="ttdeci">std::array< T, num_max_dimensions >::const_iterator cbegin() const</div><div class="ttdoc">Returns a read-only (constant) iterator that points to the first element in the dimension array.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00210">Dimensions.h:210</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_fully_connected_layer_info_xhtml_a11851649b6a7cd12ae25cf72b769cfb9"><div class="ttname"><a href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a11851649b6a7cd12ae25cf72b769cfb9">arm_compute::FullyConnectedLayerInfo::transpose_weights</a></div><div class="ttdeci">bool transpose_weights</div><div class="ttdoc">Transpose weights if true.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00806">Types.h:806</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel_xhtml_aebd765d07fc0c9401ec83025aa0e13de"><div class="ttname"><a href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aebd765d07fc0c9401ec83025aa0e13de">arm_compute::GCGEMMMatrixAccumulateBiasesKernel::configure</a></div><div class="ttdeci">void configure(IGCTensor *accum, const IGCTensor *biases)</div><div class="ttdoc">Set the accumulate buffer and the biases of the kernel.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_g_e_m_m_matrix_accumulate_biases_kernel_8cpp_source.xhtml#l00044">GCGEMMMatrixAccumulateBiasesKernel.cpp:44</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions< uint32_t >::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00807">FullyConnectedLayerInfo::are_weights_reshaped</a>, <a class="el" href="_error_8h_source.xhtml#l00466">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_validate_8h_source.xhtml#l00790">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>, <a class="el" href="_validate_8h_source.xhtml#l00543">ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00210">Dimensions< T >::cbegin()</a>, <a class="el" href="_g_c_g_e_m_m_matrix_accumulate_biases_kernel_8cpp_source.xhtml#l00044">GCGEMMMatrixAccumulateBiasesKernel::configure()</a>, <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00034">GCFullyConnectedLayerReshapeWeights::configure()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="_g_c_tensor_8cpp_source.xhtml#l00054">GCTensor::gc_buffer()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor::info()</a>, <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00253">TensorInfo::num_dimensions()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00045">Dimensions< uint32_t >::num_max_dimensions</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00808">FullyConnectedLayerInfo::retain_internal_weights</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00806">FullyConnectedLayerInfo::transpose_weights</a>, and <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">arm_compute::test::validation::weights</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="tests_2validation_2_g_l_e_s___c_o_m_p_u_t_e_2_fully_connected_layer_8cpp_source.xhtml#l00065">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p> |
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| <a id="a0f630efcedbbbc70828b135558481d0a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0f630efcedbbbc70828b135558481d0a">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</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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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| </div> |
| </div> |
| <a id="af0b25842ef10cd339adaff0d90a991a6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af0b25842ef10cd339adaff0d90a991a6">◆ </a></span>operator=() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</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">default</span></span> </td> |
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| <p>Default move assignment operator. </p> |
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| </div> |
| </div> |
| <a id="aa9b93ef660fc3c5b4b19d3fc7b891b77"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa9b93ef660fc3c5b4b19d3fc7b891b77">◆ </a></span>prepare()</h2> |
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| <td class="memname">void prepare </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
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| </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>Prepare the function for executing. </p> |
| <p>Any one off pre-processing step required by the function is handled here</p> |
| <dl class="section note"><dt>Note</dt><dd>Prepare stage might not need all the function's buffers' backing memory to be available in order to execute </dd></dl> |
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| <p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">IFunction</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00178">178</a> of file <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml">GCFullyConnectedLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> {</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Reshape of the weights (happens only once)</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span>(!_are_weights_reshaped)</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!_original_weights-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a209ea2ddfdfa80703799c92da8beb643">is_used</a>());</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="comment">// Run reshape weights kernel and mark weights as unused</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  _reshape_weights_output.<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a44d1d7d909047fe63f5f6c11a9849986">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  _reshape_weights_kernel.<a class="code" href="classarm__compute_1_1_i_g_c_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362">run</a>();</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="comment">// Mark original weights tensor as unused</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  _original_weights-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2">mark_as_unused</a>();</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  _are_weights_reshaped = <span class="keyword">true</span>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> }</div><div class="ttc" id="classarm__compute_1_1_i_g_c_simple_function_xhtml_a92fe532c342ae2b07956a65520c05362"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362">arm_compute::IGCSimpleFunction::run</a></div><div class="ttdeci">void run() override final</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_simple_function_8cpp_source.xhtml#l00038">IGCSimpleFunction.cpp:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a209ea2ddfdfa80703799c92da8beb643"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a209ea2ddfdfa80703799c92da8beb643">arm_compute::ITensor::is_used</a></div><div class="ttdeci">bool is_used() const</div><div class="ttdoc">Flags if the tensor is used or not.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8cpp_source.xhtml#l00162">ITensor.cpp:162</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a9bc00234de9adf8c99a21eb1d7d494c2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2">arm_compute::ITensor::mark_as_unused</a></div><div class="ttdeci">void mark_as_unused() const</div><div class="ttdoc">Marks a tensor as unused.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8cpp_source.xhtml#l00167">ITensor.cpp:167</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml_aa8a4946cd749d482dd996874d295af85"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">arm_compute::ITensorAllocator::allocate</a></div><div class="ttdeci">virtual void allocate()=0</div><div class="ttdoc">Interface to be implemented by the child class to allocate the tensor.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a44d1d7d909047fe63f5f6c11a9849986"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a44d1d7d909047fe63f5f6c11a9849986">arm_compute::GCTensor::allocator</a></div><div class="ttdeci">ITensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8cpp_source.xhtml#l00034">GCTensor.cpp:34</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator::allocate()</a>, <a class="el" href="_g_c_tensor_8cpp_source.xhtml#l00034">GCTensor::allocator()</a>, <a class="el" href="_error_8h_source.xhtml#l00466">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_i_tensor_8cpp_source.xhtml#l00162">ITensor::is_used()</a>, <a class="el" href="_i_tensor_8cpp_source.xhtml#l00167">ITensor::mark_as_unused()</a>, and <a class="el" href="_i_g_c_simple_function_8cpp_source.xhtml#l00038">IGCSimpleFunction::run()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00149">GCFullyConnectedLayer::run()</a>.</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> |
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| <td class="mlabels-right"> |
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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_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77" 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="_g_c_fully_connected_layer_8cpp_source.xhtml#l00149">149</a> of file <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml">GCFullyConnectedLayer.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a>();</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarm__compute_1_1_memory_group_resource_scope.xhtml">MemoryGroupResourceScope</a> scope_mg(_memory_group);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Linearize input if it comes from a convolutional layer</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">if</span>(_is_fc_after_conv)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b">GCScheduler::get</a>().<a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a66a29e27a51a13250143981b0ee4ad19">dispatch</a>(_im2col_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">if</span>(!_are_weights_reshaped || _is_fc_after_conv)</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b">GCScheduler::get</a>().<a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a2dcf87458fcfdfb5e9fdd369e0320d78">memory_barrier</a>();</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Run matrix multiply</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b">GCScheduler::get</a>().<a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a66a29e27a51a13250143981b0ee4ad19">dispatch</a>(_mm_kernel, !_accumulate_biases);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">// Accumulate biases if provided</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">if</span>(_accumulate_biases)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b">GCScheduler::get</a>().<a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a2dcf87458fcfdfb5e9fdd369e0320d78">memory_barrier</a>();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b">GCScheduler::get</a>().<a class="code" href="classarm__compute_1_1_g_c_scheduler.xhtml#a66a29e27a51a13250143981b0ee4ad19">dispatch</a>(_accumulate_biases_kernel);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  }</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> }</div><div class="ttc" id="classarm__compute_1_1_g_c_scheduler_xhtml_a66a29e27a51a13250143981b0ee4ad19"><div class="ttname"><a href="classarm__compute_1_1_g_c_scheduler.xhtml#a66a29e27a51a13250143981b0ee4ad19">arm_compute::GCScheduler::dispatch</a></div><div class="ttdeci">void dispatch(IGCKernel &kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_scheduler_8cpp_source.xhtml#l00077">GCScheduler.cpp:77</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_scheduler_xhtml_a2dcf87458fcfdfb5e9fdd369e0320d78"><div class="ttname"><a href="classarm__compute_1_1_g_c_scheduler.xhtml#a2dcf87458fcfdfb5e9fdd369e0320d78">arm_compute::GCScheduler::memory_barrier</a></div><div class="ttdeci">void memory_barrier()</div><div class="ttdoc">Defines a barrier ordering memory transactions.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_scheduler_8cpp_source.xhtml#l00086">GCScheduler.cpp:86</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_scheduler_xhtml_a9c5f715748222ab9607cc52134b36b0b"><div class="ttname"><a href="classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b">arm_compute::GCScheduler::get</a></div><div class="ttdeci">static GCScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_scheduler_8cpp_source.xhtml#l00070">GCScheduler.cpp:70</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_c_fully_connected_layer_xhtml_aa9b93ef660fc3c5b4b19d3fc7b891b77"><div class="ttname"><a href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">arm_compute::GCFullyConnectedLayer::prepare</a></div><div class="ttdeci">void prepare() override</div><div class="ttdoc">Prepare the function for executing.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00178">GCFullyConnectedLayer.cpp:178</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_memory_group_resource_scope_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group_resource_scope.xhtml">arm_compute::MemoryGroupResourceScope</a></div><div class="ttdoc">Memory group resources scope handling class.</div><div class="ttdef"><b>Definition:</b> <a href="_i_memory_group_8h_source.xhtml#l00082">IMemoryGroup.h:82</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_g_c_scheduler_8cpp_source.xhtml#l00077">GCScheduler::dispatch()</a>, <a class="el" href="_g_c_scheduler_8cpp_source.xhtml#l00070">GCScheduler::get()</a>, <a class="el" href="_g_c_scheduler_8cpp_source.xhtml#l00086">GCScheduler::memory_barrier()</a>, and <a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml#l00178">GCFullyConnectedLayer::prepare()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/runtime/GLES_COMPUTE/functions/<a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml">GCFullyConnectedLayer.h</a></li> |
| <li>src/runtime/GLES_COMPUTE/functions/<a class="el" href="_g_c_fully_connected_layer_8cpp_source.xhtml">GCFullyConnectedLayer.cpp</a></li> |
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| <li class="footer">Generated on Thu Mar 5 2020 16:07:13 for Compute Library by |
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