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| |
| <p><code>#include <<a class="el" href="_gpu_fsa_layer_support_8hpp_source.html">GpuFsaLayerSupport.hpp</a>></code></p> |
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| Inheritance diagram for GpuFsaLayerSupport:</div> |
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| Public Member Functions</h2></td></tr> |
| <tr class="memitem:a1e128c847b11f20fdedc72ec2951424f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_gpu_fsa_layer_support.html#a1e128c847b11f20fdedc72ec2951424f">IsLayerSupported</a> (const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> &type, const std::vector< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > &infos, const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a> &descriptor, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> > &lstmParamsInfo, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> > &, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > reasonIfUnsupported) const override</td></tr> |
| <tr class="memdesc:a1e128c847b11f20fdedc72ec2951424f"><td class="mdescLeft"> </td><td class="mdescRight">Default implementation of the <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a> interface, Backends should implement this as a switch statement for each of their LayerTypes calling their specific backend implementation of IsXXXLayerSupported. <a href="classarmnn_1_1_gpu_fsa_layer_support.html#a1e128c847b11f20fdedc72ec2951424f">More...</a><br /></td></tr> |
| <tr class="separator:a1e128c847b11f20fdedc72ec2951424f"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> |
| Additional Inherited Members</h2></td></tr> |
| <tr class="inherit_header pro_methods_classarmnn_1_1_i_layer_support"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_layer_support')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a></td></tr> |
| <tr class="memitem:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.html#aab2a487bc88047443d8a0f87c3c40b8d">ILayerSupport</a> ()</td></tr> |
| <tr class="separator:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.html#a9e7f4f28576904804cd759e49173beeb">~ILayerSupport</a> ()</td></tr> |
| <tr class="separator:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"> |
| <p class="definition">Definition at line <a class="el" href="_gpu_fsa_layer_support_8hpp_source.html#l00013">13</a> of file <a class="el" href="_gpu_fsa_layer_support_8hpp_source.html">GpuFsaLayerSupport.hpp</a>.</p> |
| </div><h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a1e128c847b11f20fdedc72ec2951424f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1e128c847b11f20fdedc72ec2951424f">◆ </a></span>IsLayerSupported()</h2> |
| |
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| <tr> |
| <td class="memname">bool IsLayerSupported </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> & </td> |
| <td class="paramname"><em>type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> > & </td> |
| <td class="paramname"><em>infos</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a> & </td> |
| <td class="paramname"><em>descriptor</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> > & </td> |
| <td class="paramname"><em>lstmParamsInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>< <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> > & </td> |
| <td class="paramname"><em>quantizedLstmParamsInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>< std::string & > </td> |
| <td class="paramname"><em>reasonIfUnsupported</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default implementation of the <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a> interface, Backends should implement this as a switch statement for each of their LayerTypes calling their specific backend implementation of IsXXXLayerSupported. </p> |
| |
| <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_layer_support.html#ade82d7df4e18bdd77969958a8fccf10a">ILayerSupport</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_gpu_fsa_layer_support_8cpp_source.html#l00071">71</a> of file <a class="el" href="_gpu_fsa_layer_support_8cpp_source.html">GpuFsaLayerSupport.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(lstmParamsInfo);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(quantizedLstmInputParamsInfo);</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">switch</span> (type)</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div> |
| <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>  <span class="keywordflow">if</span> (infos.size() != 2)</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Activation TensorInfos. "</span></div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output}."</span>);</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</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="keyword">auto</span> desc = PolymorphicDowncast<const ActivationDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aa8d17ff94651485b0aa4b58e1d4ef5b5">GpuFsaActivationValidate</a>,</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  infos[0],</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  *desc);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</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> (infos.size() != 3)</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>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of BatchMatMul TensorInfos. "</span></div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="stringliteral">"TensorInfos should be of format: {input0, input1 output}."</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="keyword">auto</span> desc = PolymorphicDowncast<const BatchMatMulDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a47e56eb9bcbb170dddd202d770ed2cd8">GpuFsaBatchMatMulValidate</a>,</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  infos[0],</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  infos[1],</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  *desc);</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</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> (infos.size() != 2)</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="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of cast TensorInfos. "</span></div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output}."</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>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a10d20c479436685e213150471a4a395b">GpuFsaCastValidate</a>,</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  infos[0],</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  infos[1]);</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</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="keywordflow">if</span> (infos.size() != 4)</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">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Convolution2d TensorInfos. "</span></div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</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>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const Convolution2dDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</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>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a1c42ef784299460fb9db004dd395d5e1">GpuFsaConvolution2dValidate</a>,</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  infos[0],</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  *desc,</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  infos[2],</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  EmptyOptional());</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">else</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="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a1c42ef784299460fb9db004dd395d5e1">GpuFsaConvolution2dValidate</a>,</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  infos[0],</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  *desc,</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  infos[2],</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  infos[3]);</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</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="keywordflow">if</span> (infos.size() != 4)</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of DepthwiseConvolution2dDescriptor TensorInfos. "</span></div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</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="keyword">auto</span> desc = PolymorphicDowncast<const DepthwiseConvolution2dDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#af2016aed3575b7302e79c72830c23025">GpuFsaDepthwiseConvolution2dValidate</a>,</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  infos[0],</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  *desc,</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  infos[2],</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  EmptyOptional());</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#af2016aed3575b7302e79c72830c23025">GpuFsaDepthwiseConvolution2dValidate</a>,</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  infos[0],</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  *desc,</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  infos[2],</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  infos[3]);</div> |
| <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>  }</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>:</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>  <span class="keywordflow">if</span> (infos.size() != 3)</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="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of ElementwiseBinary TensorInfos. "</span></div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="stringliteral">"TensorInfos should be of format: {input0, input1, output}."</span>);</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</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="keyword">auto</span> desc = PolymorphicDowncast<const ElementwiseBinaryDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#abd83d555d05a33057f9e80475522a631">GpuFsaElementwiseBinaryValidate</a>,</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  infos[0],</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  infos[1],</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  *desc);</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (infos.size() != 2)</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Pooling2d TensorInfos. "</span></div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output}."</span>);</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  </div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const Pooling2dDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a7aff81ee45420f659fc30fa239ccc7c8">GpuFsaPooling2dValidate</a>,</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  infos[0],</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  *desc);</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">if</span> (infos.size() != 2)</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Reshape TensorInfos. "</span></div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="stringliteral">"TensorInfos should be of format: { input, output }."</span>);</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  </div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const ReshapeDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  </div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a75837bce7e31ee2315b702d16833c0ff">GpuFsaReshapeValidate</a>,</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  infos[0],</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  *desc);</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">if</span> (infos.size() != 2)</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Resize TensorInfos. "</span></div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output}."</span>);</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  </div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const ResizeDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a7a26e6ad4d26aa9c32cfbd1d0d9110be">GpuFsaResizeValidate</a>,</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  infos[0],</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  *desc);</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">if</span> (infos.size() != 2)</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Softmax TensorInfos. "</span></div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output}."</span>);</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  }</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  </div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const SoftmaxDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ad0672c046428b5b75115d2c91d0162eb">GpuFsaSoftmaxValidate</a>,</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  infos[0],</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  infos[1],</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  *desc);</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a78c4767bc9e09daae610861fd00007db">IsGpuFsaBackendSupported</a>(reasonIfUnsupported, infos[0]);</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// Layers not supported in the GpuFsa backend.</span></div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::BatchMatMul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::Cast</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::ElementwiseBinary</a>, <a class="el" href="_gpu_fsa_layer_support_8cpp_source.html#l00067">FORWARD_LAYER_VALIDATE_FUNC</a>, <a class="el" href="_gpu_fsa_activation_8cpp_source.html#l00022">armnn::GpuFsaActivationValidate()</a>, <a class="el" href="_gpu_fsa_batch_mat_mul_8cpp_source.html#l00022">armnn::GpuFsaBatchMatMulValidate()</a>, <a class="el" href="_gpu_fsa_cast_8cpp_source.html#l00033">armnn::GpuFsaCastValidate()</a>, <a class="el" href="_gpu_fsa_convolution2d_8cpp_source.html#l00024">armnn::GpuFsaConvolution2dValidate()</a>, <a class="el" href="_gpu_fsa_depthwise_convolution2d_8cpp_source.html#l00026">armnn::GpuFsaDepthwiseConvolution2dValidate()</a>, <a class="el" href="_gpu_fsa_elementwise_binary_8cpp_source.html#l00024">armnn::GpuFsaElementwiseBinaryValidate()</a>, <a class="el" href="_gpu_fsa_pooling2d_8cpp_source.html#l00022">armnn::GpuFsaPooling2dValidate()</a>, <a class="el" href="_gpu_fsa_reshape_8cpp_source.html#l00022">armnn::GpuFsaReshapeValidate()</a>, <a class="el" href="_gpu_fsa_resize_8cpp_source.html#l00022">armnn::GpuFsaResizeValidate()</a>, <a class="el" href="_gpu_fsa_softmax_8cpp_source.html#l00022">armnn::GpuFsaSoftmaxValidate()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_gpu_fsa_layer_support_8cpp_source.html#l00031">armnn::IsGpuFsaBackendSupported()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::Resize</a>, and <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>src/backends/gpuFsa/<a class="el" href="_gpu_fsa_layer_support_8hpp_source.html">GpuFsaLayerSupport.hpp</a></li> |
| <li>src/backends/gpuFsa/<a class="el" href="_gpu_fsa_layer_support_8cpp_source.html">GpuFsaLayerSupport.cpp</a></li> |
| </ul> |
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| </div><!-- doc-content --> |
| <div class="ttc" id="anamespacearmnn_html_a10d20c479436685e213150471a4a395b"><div class="ttname"><a href="namespacearmnn.html#a10d20c479436685e213150471a4a395b">armnn::GpuFsaCastValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaCastValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_cast_8cpp_source.html#l00033">GpuFsaCast.cpp:33</a></div></div> |
| <div class="ttc" id="a_gpu_fsa_layer_support_8cpp_html_aa24b6a243a6845480abc307561039d4a"><div class="ttname"><a href="_gpu_fsa_layer_support_8cpp.html#aa24b6a243a6845480abc307561039d4a">FORWARD_LAYER_VALIDATE_FUNC</a></div><div class="ttdeci">#define FORWARD_LAYER_VALIDATE_FUNC(func, reasonIfUnsupported,...)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_layer_support_8cpp_source.html#l00067">GpuFsaLayerSupport.cpp:67</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a7aff81ee45420f659fc30fa239ccc7c8"><div class="ttname"><a href="namespacearmnn.html#a7aff81ee45420f659fc30fa239ccc7c8">armnn::GpuFsaPooling2dValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaPooling2dValidate(const TensorInfo &input, const Pooling2dDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_pooling2d_8cpp_source.html#l00022">GpuFsaPooling2d.cpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a78c4767bc9e09daae610861fd00007db"><div class="ttname"><a href="namespacearmnn.html#a78c4767bc9e09daae610861fd00007db">armnn::IsGpuFsaBackendSupported</a></div><div class="ttdeci">bool IsGpuFsaBackendSupported(Optional< std::string & > reasonIfUnsupported, Args... args)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_layer_support_8cpp_source.html#l00031">GpuFsaLayerSupport.cpp:31</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a7a26e6ad4d26aa9c32cfbd1d0d9110be"><div class="ttname"><a href="namespacearmnn.html#a7a26e6ad4d26aa9c32cfbd1d0d9110be">armnn::GpuFsaResizeValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaResizeValidate(const TensorInfo &input, const ResizeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_resize_8cpp_source.html#l00022">GpuFsaResize.cpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a75837bce7e31ee2315b702d16833c0ff"><div class="ttname"><a href="namespacearmnn.html#a75837bce7e31ee2315b702d16833c0ff">armnn::GpuFsaReshapeValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaReshapeValidate(const TensorInfo &input, const ReshapeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_reshape_8cpp_source.html#l00022">GpuFsaReshape.cpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa8d17ff94651485b0aa4b58e1d4ef5b5"><div class="ttname"><a href="namespacearmnn.html#aa8d17ff94651485b0aa4b58e1d4ef5b5">armnn::GpuFsaActivationValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaActivationValidate(const TensorInfo &input, const ActivationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_activation_8cpp_source.html#l00022">GpuFsaActivation.cpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1c42ef784299460fb9db004dd395d5e1"><div class="ttname"><a href="namespacearmnn.html#a1c42ef784299460fb9db004dd395d5e1">armnn::GpuFsaConvolution2dValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaConvolution2dValidate(const TensorInfo &input, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_convolution2d_8cpp_source.html#l00024">GpuFsaConvolution2d.cpp:24</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_abd83d555d05a33057f9e80475522a631"><div class="ttname"><a href="namespacearmnn.html#abd83d555d05a33057f9e80475522a631">armnn::GpuFsaElementwiseBinaryValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaElementwiseBinaryValidate(const TensorInfo &input0, const TensorInfo &input1, const ElementwiseBinaryDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_elementwise_binary_8cpp_source.html#l00024">GpuFsaElementwiseBinary.cpp:24</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_af2016aed3575b7302e79c72830c23025"><div class="ttname"><a href="namespacearmnn.html#af2016aed3575b7302e79c72830c23025">armnn::GpuFsaDepthwiseConvolution2dValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaDepthwiseConvolution2dValidate(const TensorInfo &input, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_depthwise_convolution2d_8cpp_source.html#l00026">GpuFsaDepthwiseConvolution2d.cpp:26</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad0672c046428b5b75115d2c91d0162eb"><div class="ttname"><a href="namespacearmnn.html#ad0672c046428b5b75115d2c91d0162eb">armnn::GpuFsaSoftmaxValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaSoftmaxValidate(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_softmax_8cpp_source.html#l00022">GpuFsaSoftmax.cpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a47e56eb9bcbb170dddd202d770ed2cd8"><div class="ttname"><a href="namespacearmnn.html#a47e56eb9bcbb170dddd202d770ed2cd8">armnn::GpuFsaBatchMatMulValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaBatchMatMulValidate(const TensorInfo &input0, const TensorInfo &input1, const BatchMatMulDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_batch_mat_mul_8cpp_source.html#l00022">GpuFsaBatchMatMul.cpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> |
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