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| <a href="_fused_depthwise_convolution_batch_normalization_function_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#ifndef __ARM_COMPUTE_GRAPH_BACKENDS_FUSED_DEPTHWISE_CONVOLUTION_BATCH_NORMALIZATION_FUNCTION_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#define __ARM_COMPUTE_GRAPH_BACKENDS_FUSED_DEPTHWISE_CONVOLUTION_BATCH_NORMALIZATION_FUNCTION_H__</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span>graph</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>backends</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TargetInfo, <span class="keyword">typename</span> FusedLayerTypes></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml"> 39</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca"> 42</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> = <span class="keyword">typename</span> TargetInfo::TensorType;</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec"> 43</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec">TensorConcreteType</a> = <span class="keyword">typename</span> TargetInfo::TensorConcreteType;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a491fa8f7b245bcaa216d0487ed50f466"> 45</a></span>  <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a491fa8f7b245bcaa216d0487ed50f466">FusedDepthwiseConvolutionBatchNormalizationFunction</a>()</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  : _depth_conv_layer(), _fused_batch_norm_layer(), _fused_bias(), _is_prepared(false)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a5eceba07e1b9fb84977c73308596e2e5"> 70</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a5eceba07e1b9fb84977c73308596e2e5">configure</a>(<a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *input,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *output,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *mean,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *var,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *beta,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *gamma,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">float</span> <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth_multiplier, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> <span class="keyword">const</span> &fused_act)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// We don't run any validate, as we assume that the layers have been already validated</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">TensorType</a> *bias_to_use;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// We check if the layer has a bias. If yes, use it in-place. If not, we need to create one</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// as batch normalization might end up with a bias != 0</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  _fused_batch_norm_layer.configure(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, mean, var, <span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, beta, gamma, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4">FuseBatchNormalizationType::DEPTHWISECONVOLUTION</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  bias_to_use = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  _fused_batch_norm_layer.configure(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, mean, var, <span class="keyword">nullptr</span>, &_fused_bias, <span class="keyword">nullptr</span>, beta, gamma, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4">FuseBatchNormalizationType::DEPTHWISECONVOLUTION</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  bias_to_use = &_fused_bias;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  _depth_conv_layer.configure(input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, bias_to_use, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, fused_act.<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#af5a8385102f8f8dd6c5957eac08b04c2">enabled</a>() ? fused_act : <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">if</span>(!<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  _fused_bias.allocator()->allocate();</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1"> 106</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1">run</a>()</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">prepare</a>();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  _depth_conv_layer.run();</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c"> 112</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">prepare</a>()</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span>(!_is_prepared)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  _fused_batch_norm_layer.run();</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  _is_prepared = <span class="keyword">true</span>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">typename</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8">FusedLayerTypes::DepthwiseConvolutionLayer</a> _depth_conv_layer;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">typename</span> FusedLayerTypes::FuseBatchNormalization _fused_batch_norm_layer;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec">TensorConcreteType</a> _fused_bias;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">bool</span> _is_prepared;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> };</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> } <span class="comment">// namespace backends</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> } <span class="comment">// namespace graph</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_GRAPH_BACKENDS_FUSED_DEPTHWISE_CONVOLUTION_BATCH_NORMALIZATION_FUNCTION_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions.</div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_af5a8385102f8f8dd6c5957eac08b04c2"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#af5a8385102f8f8dd6c5957eac08b04c2">arm_compute::ActivationLayerInfo::enabled</a></div><div class="ttdeci">bool enabled() const</div><div class="ttdoc">Check if initialised.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01565">Types.h:1565</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a491fa8f7b245bcaa216d0487ed50f466"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a491fa8f7b245bcaa216d0487ed50f466">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::FusedDepthwiseConvolutionBatchNormalizationFunction</a></div><div class="ttdeci">FusedDepthwiseConvolutionBatchNormalizationFunction()</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00045">FusedDepthwiseConvolutionBatchNormalizationFunction.h:45</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a1825b40ca3bc3a1ba67fdb58fac5015c"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::prepare</a></div><div class="ttdeci">void prepare()</div><div class="ttdoc">Prepare the function for executing.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00112">FusedDepthwiseConvolutionBatchNormalizationFunction.h:112</a></div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction</a></div><div class="ttdoc">Wrapper function to first apply {NE, CL}BatchNormalizationLayer on the weights and then run {NE,...</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00039">FusedDepthwiseConvolutionBatchNormalizationFunction.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01517">Types.h:1517</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a5eceba07e1b9fb84977c73308596e2e5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a5eceba07e1b9fb84977c73308596e2e5">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::configure</a></div><div class="ttdeci">void configure(TensorType *input, TensorType *weights, TensorType *bias, TensorType *output, const TensorType *mean, const TensorType *var, const TensorType *beta, const TensorType *gamma, float epsilon, const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo const &fused_act)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00070">FusedDepthwiseConvolutionBatchNormalizationFunction.h:70</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00676">Types.h:676</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9aeced5a5128f60a31ea3e327a45ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">arm_compute::test::validation::has_bias</a></div><div class="ttdeci">const bool has_bias</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">Im2Col.cpp:147</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">ConvolutionLayer.cpp:181</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a991b6faefbee1cf7b9cf77647c30a6ec"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a991b6faefbee1cf7b9cf77647c30a6ec">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::TensorConcreteType</a></div><div class="ttdeci">typename TargetInfo::TensorConcreteType TensorConcreteType</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00043">FusedDepthwiseConvolutionBatchNormalizationFunction.h:43</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a4ae2727819a8e5fb0b0d9087e7ebd5ca"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a4ae2727819a8e5fb0b0d9087e7ebd5ca">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::TensorType</a></div><div class="ttdeci">typename TargetInfo::TensorType TensorType</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00042">FusedDepthwiseConvolutionBatchNormalizationFunction.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function_xhtml_a13a43e6d814de94978c515cb084873b1"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml#a13a43e6d814de94978c515cb084873b1">arm_compute::graph::backends::FusedDepthwiseConvolutionBatchNormalizationFunction::run</a></div><div class="ttdeci">void run()</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_function_8h_source.xhtml#l00106">FusedDepthwiseConvolutionBatchNormalizationFunction.h:106</a></div></div> |
| <div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4"><div class="ttname"><a href="namespacearm__compute.xhtml#afb7e3dd8a833840aaaf618bd43ead0caa481bc07ed7c792045e8b277c0c88f8d4">arm_compute::FuseBatchNormalizationType::DEPTHWISECONVOLUTION</a></div><div class="ttdoc">For Depthwise Convolution weights.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8">arm_compute::graph::NodeType::DepthwiseConvolutionLayer</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
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| <li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_99ae3712d1eecd2a93fc4d38b59a99ba.xhtml">graph</a></li><li class="navelem"><a class="el" href="dir_59b2231210c554f4cc243709030bf1f8.xhtml">backends</a></li><li class="navelem"><a class="el" href="_fused_depthwise_convolution_batch_normalization_function_8h.xhtml">FusedDepthwiseConvolutionBatchNormalizationFunction.h</a></li> |
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