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95 <div class="summary">
96<a href="#pub-methods">Public Member Functions</a> &#124;
97<a href="classarmnn_1_1_cl_layer_support-members.html">List of all members</a> </div>
98 <div class="headertitle">
99<div class="title">ClLayerSupport Class Reference</div> </div>
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101<div class="contents">
102
103<p><code>#include &lt;<a class="el" href="_cl_layer_support_8hpp_source.html">ClLayerSupport.hpp</a>&gt;</code></p>
104<div class="dynheader">
105Inheritance diagram for ClLayerSupport:</div>
106<div class="dyncontent">
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108</div>
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111Collaboration diagram for ClLayerSupport:</div>
112<div class="dyncontent">
113<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_cl_layer_support__coll__graph.svg" width="151" height="187"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
114</div>
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116<table class="memberdecls">
117<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
118Public Member Functions</h2></td></tr>
119<tr class="memitem:adcaa3eb3d4e1bf48a235b97170dccd15"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#adcaa3eb3d4e1bf48a235b97170dccd15">ClLayerSupport</a> (const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> &amp;modelContextPtr)</td></tr>
120<tr class="separator:adcaa3eb3d4e1bf48a235b97170dccd15"><td class="memSeparator" colspan="2">&#160;</td></tr>
121<tr class="memitem:ac1dc1384ae65a68453cd3f5fd4a6adbd"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ac1dc1384ae65a68453cd3f5fd4a6adbd">ClLayerSupport</a> ()</td></tr>
122<tr class="separator:ac1dc1384ae65a68453cd3f5fd4a6adbd"><td class="memSeparator" colspan="2">&#160;</td></tr>
123<tr class="memitem:a35c41b0cdf5faf11fb39554c269e7f9b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a35c41b0cdf5faf11fb39554c269e7f9b">~ClLayerSupport</a> ()</td></tr>
124<tr class="separator:a35c41b0cdf5faf11fb39554c269e7f9b"><td class="memSeparator" colspan="2">&#160;</td></tr>
125<tr class="memitem:a15dd64e49fe95a482dc93d3af8ac108c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a15dd64e49fe95a482dc93d3af8ac108c">IsLayerSupported</a> (const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> &amp;type, const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;infos, const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a> &amp;descriptor, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &gt; &amp;lstmParamsInfo, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> &gt; &amp;quantizedLstmParamsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported) const</td></tr>
126<tr class="memdesc:a15dd64e49fe95a482dc93d3af8ac108c"><td class="mdescLeft">&#160;</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_cl_layer_support.html#a15dd64e49fe95a482dc93d3af8ac108c">More...</a><br /></td></tr>
127<tr class="separator:a15dd64e49fe95a482dc93d3af8ac108c"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:a963c34790fb5214b51b16b69d36fe3c8"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">IsActivationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
129<tr class="separator:a963c34790fb5214b51b16b69d36fe3c8"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="memitem:afaadd7f7db4d8827890b4cedaf3bac8e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e">IsAdditionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
131<tr class="separator:afaadd7f7db4d8827890b4cedaf3bac8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:a36da5a4ac8ecbf58821989af2c289e59"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">IsArgMinMaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
133<tr class="separator:a36da5a4ac8ecbf58821989af2c289e59"><td class="memSeparator" colspan="2">&#160;</td></tr>
134<tr class="memitem:a22cfc1d5f68bd32db0aa126e8fd9e615"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">IsBatchMatMulSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;inputX, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;inputY, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
135<tr class="separator:a22cfc1d5f68bd32db0aa126e8fd9e615"><td class="memSeparator" colspan="2">&#160;</td></tr>
136<tr class="memitem:aefe6105143396c8fd46f29266c63d948"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#aefe6105143396c8fd46f29266c63d948">IsBatchNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;mean, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;var, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;beta, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;gamma, const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
137<tr class="separator:aefe6105143396c8fd46f29266c63d948"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:ae8523c4d9b6c18744d46a98d4984a011"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">IsBatchToSpaceNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
139<tr class="separator:ae8523c4d9b6c18744d46a98d4984a011"><td class="memSeparator" colspan="2">&#160;</td></tr>
140<tr class="memitem:a40767d1d9169c7f9c1f1ef2f2aa87133"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133">IsCastSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
141<tr class="separator:a40767d1d9169c7f9c1f1ef2f2aa87133"><td class="memSeparator" colspan="2">&#160;</td></tr>
142<tr class="memitem:abe9e711bd5dc9844369d4c706e0d8b0a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a">IsChannelShuffleSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
143<tr class="separator:abe9e711bd5dc9844369d4c706e0d8b0a"><td class="memSeparator" colspan="2">&#160;</td></tr>
144<tr class="memitem:abdd824d4e7e43e8a8738955fe570ada0"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#abdd824d4e7e43e8a8738955fe570ada0">IsComparisonSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;ouput, const <a class="el" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
145<tr class="separator:abdd824d4e7e43e8a8738955fe570ada0"><td class="memSeparator" colspan="2">&#160;</td></tr>
146<tr class="memitem:ab56e4c49e3cbd6b486b4a9e6b89e6e0c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">IsConcatSupported</a> (const std::vector&lt; const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * &gt; inputs, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_origins_descriptor.html">OriginsDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
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148<tr class="memitem:a3741887d06449834eea19c00d1320f7c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a3741887d06449834eea19c00d1320f7c">IsConstantSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
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152<tr class="memitem:a63cd5b66c276be0542571be736aaf7f5"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a63cd5b66c276be0542571be736aaf7f5">IsConvertFp32ToFp16Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
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154<tr class="memitem:a0e7afe178736bc0844695e051d12be51"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a> &amp;descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
155<tr class="separator:a0e7afe178736bc0844695e051d12be51"><td class="memSeparator" colspan="2">&#160;</td></tr>
156<tr class="memitem:a57927a58bc6bb87455b51a2786fe1b3b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> &amp;descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
157<tr class="separator:a57927a58bc6bb87455b51a2786fe1b3b"><td class="memSeparator" colspan="2">&#160;</td></tr>
158<tr class="memitem:a25adbaea31c52a55a1fa3afa7546be02"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02">IsDequantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
159<tr class="separator:a25adbaea31c52a55a1fa3afa7546be02"><td class="memSeparator" colspan="2">&#160;</td></tr>
160<tr class="memitem:a7ed10202fff7c54f2d5b27c3ecd21567"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">IsDepthToSpaceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="namespacearmnn.html#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
161<tr class="separator:a7ed10202fff7c54f2d5b27c3ecd21567"><td class="memSeparator" colspan="2">&#160;</td></tr>
162<tr class="memitem:a8e778f7b99b33e242145ff2319ae585c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &amp;descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
163<tr class="separator:a8e778f7b99b33e242145ff2319ae585c"><td class="memSeparator" colspan="2">&#160;</td></tr>
164<tr class="memitem:aa1caadf76e5ebf10d6875564dcff19ac"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#aa1caadf76e5ebf10d6875564dcff19ac">IsDilatedDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &amp;descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reason=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
165<tr class="separator:aa1caadf76e5ebf10d6875564dcff19ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
166<tr class="memitem:aac1281b0616904d20dc397cfc5984e8b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#aac1281b0616904d20dc397cfc5984e8b">IsDivisionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
167<tr class="separator:aac1281b0616904d20dc397cfc5984e8b"><td class="memSeparator" colspan="2">&#160;</td></tr>
168<tr class="memitem:a734a989302f92b63d717f2ac395c3eb9"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">IsElementwiseUnarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
169<tr class="separator:a734a989302f92b63d717f2ac395c3eb9"><td class="memSeparator" colspan="2">&#160;</td></tr>
170<tr class="memitem:ad557f8fa58e751c93cf271691834ca52"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ad557f8fa58e751c93cf271691834ca52">IsFillSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_fill_descriptor.html">FillDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
171<tr class="separator:ad557f8fa58e751c93cf271691834ca52"><td class="memSeparator" colspan="2">&#160;</td></tr>
172<tr class="memitem:aca92095e6a26d7f451042795afabea5b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#aca92095e6a26d7f451042795afabea5b">IsFloorSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
173<tr class="separator:aca92095e6a26d7f451042795afabea5b"><td class="memSeparator" colspan="2">&#160;</td></tr>
174<tr class="memitem:a6bb173cc16cd16909254787311c19995"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a6bb173cc16cd16909254787311c19995">IsFullyConnectedSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;weights, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;biases, const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
175<tr class="separator:a6bb173cc16cd16909254787311c19995"><td class="memSeparator" colspan="2">&#160;</td></tr>
176<tr class="memitem:ad0bca4c0de78df48fd6e63a3b8239f57"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ad0bca4c0de78df48fd6e63a3b8239f57">IsGatherNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported) const</td></tr>
177<tr class="separator:ad0bca4c0de78df48fd6e63a3b8239f57"><td class="memSeparator" colspan="2">&#160;</td></tr>
178<tr class="memitem:adc7c2b1e2d768d4c1c50ccf31950800b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#adc7c2b1e2d768d4c1c50ccf31950800b">IsGatherSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported) const</td></tr>
179<tr class="separator:adc7c2b1e2d768d4c1c50ccf31950800b"><td class="memSeparator" colspan="2">&#160;</td></tr>
180<tr class="memitem:a9546ae76bc4ba8a05f1c441be22ae546"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546">IsInputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
181<tr class="separator:a9546ae76bc4ba8a05f1c441be22ae546"><td class="memSeparator" colspan="2">&#160;</td></tr>
182<tr class="memitem:a96f76305323bd5f2c9f8e2850a327f95"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95">IsInstanceNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
183<tr class="separator:a96f76305323bd5f2c9f8e2850a327f95"><td class="memSeparator" colspan="2">&#160;</td></tr>
184<tr class="memitem:acc5b87bee8889258d7289f009e754d3d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#acc5b87bee8889258d7289f009e754d3d">IsL2NormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
185<tr class="separator:acc5b87bee8889258d7289f009e754d3d"><td class="memSeparator" colspan="2">&#160;</td></tr>
186<tr class="memitem:a83f61b022e9544d0c1f5110cd28ae502"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">IsLogicalBinarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported) const</td></tr>
187<tr class="separator:a83f61b022e9544d0c1f5110cd28ae502"><td class="memSeparator" colspan="2">&#160;</td></tr>
188<tr class="memitem:afd5766278ef389508c9af49f3e810988"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#afd5766278ef389508c9af49f3e810988">IsLogSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="namespacearmnn.html#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
189<tr class="separator:afd5766278ef389508c9af49f3e810988"><td class="memSeparator" colspan="2">&#160;</td></tr>
190<tr class="memitem:ad5adeb0c9d1cf403d5cd2eadf4585155"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">IsLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;outputStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;cellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;scratchBuffer, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;outputStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &amp;paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
191<tr class="separator:ad5adeb0c9d1cf403d5cd2eadf4585155"><td class="memSeparator" colspan="2">&#160;</td></tr>
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194<tr class="memitem:a007299b48d001bbdaefe525566b21c8e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a007299b48d001bbdaefe525566b21c8e">IsMeanSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
195<tr class="separator:a007299b48d001bbdaefe525566b21c8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
196<tr class="memitem:a68ddd3634fa7ce3a1eea8d7cc5adc9f0"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">IsMinimumSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
197<tr class="separator:a68ddd3634fa7ce3a1eea8d7cc5adc9f0"><td class="memSeparator" colspan="2">&#160;</td></tr>
198<tr class="memitem:a030c7a65a5c26b93c57b30e3c9d6a80b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b">IsMultiplicationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
199<tr class="separator:a030c7a65a5c26b93c57b30e3c9d6a80b"><td class="memSeparator" colspan="2">&#160;</td></tr>
200<tr class="memitem:af77622c468f95d7cbc05b7d6f6e83830"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">IsNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
201<tr class="separator:af77622c468f95d7cbc05b7d6f6e83830"><td class="memSeparator" colspan="2">&#160;</td></tr>
202<tr class="memitem:a3b1efcbd2ac79d53fa0db56831095cd6"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6">IsOutputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
203<tr class="separator:a3b1efcbd2ac79d53fa0db56831095cd6"><td class="memSeparator" colspan="2">&#160;</td></tr>
204<tr class="memitem:a649ebe27288d2e62ed0069c0f1d941b8"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8">IsPadSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
205<tr class="separator:a649ebe27288d2e62ed0069c0f1d941b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
206<tr class="memitem:a5d06aa3102f630eeff127195693810e8"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a5d06aa3102f630eeff127195693810e8">IsPermuteSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
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208<tr class="memitem:a5e11a11243484e16c20247e3e0d4f890"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">IsPooling2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
209<tr class="separator:a5e11a11243484e16c20247e3e0d4f890"><td class="memSeparator" colspan="2">&#160;</td></tr>
210<tr class="memitem:a677818beaa9f767c7fb0442fb9db2881"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">IsPooling3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.html">Pooling3dDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
211<tr class="separator:a677818beaa9f767c7fb0442fb9db2881"><td class="memSeparator" colspan="2">&#160;</td></tr>
212<tr class="memitem:a98b405bfcfb15d1aa09042ffc370f370"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370">IsPreluSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;alpha, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
213<tr class="separator:a98b405bfcfb15d1aa09042ffc370f370"><td class="memSeparator" colspan="2">&#160;</td></tr>
214<tr class="memitem:a07cd270641b5876471c8ba9e77bc3abe"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe">IsQLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;previousOutputIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;previousCellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;outputStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &amp;paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
215<tr class="separator:a07cd270641b5876471c8ba9e77bc3abe"><td class="memSeparator" colspan="2">&#160;</td></tr>
216<tr class="memitem:aad6eabce66fdae7c3389450e9dc75df9"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#aad6eabce66fdae7c3389450e9dc75df9">IsQuantizedLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;previousCellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;previousOutputIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> &amp;paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
217<tr class="separator:aad6eabce66fdae7c3389450e9dc75df9"><td class="memSeparator" colspan="2">&#160;</td></tr>
218<tr class="memitem:a7c739d08cf4fe3f9adef635be0544362"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a7c739d08cf4fe3f9adef635be0544362">IsQuantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
219<tr class="separator:a7c739d08cf4fe3f9adef635be0544362"><td class="memSeparator" colspan="2">&#160;</td></tr>
220<tr class="memitem:aa253f9963038f4d68877caf6a9a091b4"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">IsReduceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
221<tr class="separator:aa253f9963038f4d68877caf6a9a091b4"><td class="memSeparator" colspan="2">&#160;</td></tr>
222<tr class="memitem:ae96fb1672cadd4e9b87809004799b6da"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">IsReshapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
223<tr class="separator:ae96fb1672cadd4e9b87809004799b6da"><td class="memSeparator" colspan="2">&#160;</td></tr>
224<tr class="memitem:a85e08ffdec56499a2f78859229b51aa4"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">IsResizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
225<tr class="separator:a85e08ffdec56499a2f78859229b51aa4"><td class="memSeparator" colspan="2">&#160;</td></tr>
226<tr class="memitem:ade477ece5a23f14601f73127ba6b9f90"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ade477ece5a23f14601f73127ba6b9f90">IsReverseV2Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;axis, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported) const</td></tr>
227<tr class="separator:ade477ece5a23f14601f73127ba6b9f90"><td class="memSeparator" colspan="2">&#160;</td></tr>
228<tr class="memitem:ac41e0c07587d6a3da9349b0e49c4643d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#ac41e0c07587d6a3da9349b0e49c4643d">IsScatterNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;indices, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;updates, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_scatter_nd_descriptor.html">ScatterNdDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
229<tr class="separator:ac41e0c07587d6a3da9349b0e49c4643d"><td class="memSeparator" colspan="2">&#160;</td></tr>
230<tr class="memitem:a29d47a3b7a5f312d858c2a1c67905a83"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">IsSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
231<tr class="separator:a29d47a3b7a5f312d858c2a1c67905a83"><td class="memSeparator" colspan="2">&#160;</td></tr>
232<tr class="memitem:abc2d31208c6bcced31369b024eee3b65"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#abc2d31208c6bcced31369b024eee3b65">IsSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
233<tr class="separator:abc2d31208c6bcced31369b024eee3b65"><td class="memSeparator" colspan="2">&#160;</td></tr>
234<tr class="memitem:aeef91cdb55b6cd1cbda03f42553fb861"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">IsSpaceToBatchNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
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236<tr class="memitem:abd0c6ea3807227b94374ff321a47284d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#abd0c6ea3807227b94374ff321a47284d">IsSpaceToDepthSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
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238<tr class="memitem:a9b9c3c80d296907362f8b407b6a20727"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">IsSplitterSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const std::vector&lt; std::reference_wrapper&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt;&gt; &amp;outputs, const <a class="el" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
239<tr class="separator:a9b9c3c80d296907362f8b407b6a20727"><td class="memSeparator" colspan="2">&#160;</td></tr>
240<tr class="memitem:abd5430fb7e3f330b675a797d690e6eb4"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">IsStackSupported</a> (const std::vector&lt; const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * &gt; &amp;inputs, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
241<tr class="separator:abd5430fb7e3f330b675a797d690e6eb4"><td class="memSeparator" colspan="2">&#160;</td></tr>
242<tr class="memitem:a227f01f31ce42d62f160d49d5d044a3b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">IsStridedSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
243<tr class="separator:a227f01f31ce42d62f160d49d5d044a3b"><td class="memSeparator" colspan="2">&#160;</td></tr>
244<tr class="memitem:a6e14b055cf3d72d4de0cc9f68616925c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c">IsSubtractionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
245<tr class="separator:a6e14b055cf3d72d4de0cc9f68616925c"><td class="memSeparator" colspan="2">&#160;</td></tr>
246<tr class="memitem:a161bd30613088b5f2c8d4f5234ceacea"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">IsTransposeConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a> &amp;descriptor, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;weights, const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;biases, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
247<tr class="separator:a161bd30613088b5f2c8d4f5234ceacea"><td class="memSeparator" colspan="2">&#160;</td></tr>
248<tr class="memitem:a27b8700a838b8018acb22cf38570b997"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a27b8700a838b8018acb22cf38570b997">IsTileSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
249<tr class="separator:a27b8700a838b8018acb22cf38570b997"><td class="memSeparator" colspan="2">&#160;</td></tr>
250<tr class="memitem:a1a431d200c1ab85913cac36539d9ca3b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">IsTransposeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
251<tr class="separator:a1a431d200c1ab85913cac36539d9ca3b"><td class="memSeparator" colspan="2">&#160;</td></tr>
252<tr class="memitem:a8bf8e20faa2d906c0c84fc7b88bad67a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_layer_support.html#a8bf8e20faa2d906c0c84fc7b88bad67a">IsUnidirectionalSequenceLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;outputStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;cellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;outputStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="namespacearmnn.html#ae6c5f1b51bd32133c4dcc632045d6b58">UnidirectionalSequenceLstmDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &amp;paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported) const</td></tr>
253<tr class="separator:a8bf8e20faa2d906c0c84fc7b88bad67a"><td class="memSeparator" colspan="2">&#160;</td></tr>
254<tr class="inherit_header pub_methods_classarmnn_1_1_layer_support_base"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer_support_base')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_support_base.html">LayerSupportBase</a></td></tr>
255<tr class="memitem:accd2fb6b7713141313cfc310ea460a28 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#accd2fb6b7713141313cfc310ea460a28">IsDetectionPostProcessSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;boxEncodings, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;scores, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;anchors, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;detectionBoxes, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;detectionClasses, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;detectionScores, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;numDetections, const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.html">DetectionPostProcessDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
256<tr class="separator:accd2fb6b7713141313cfc310ea460a28 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
257<tr class="memitem:a76fea9e8e52d879f59b268b060635145 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a76fea9e8e52d879f59b268b060635145">IsMemCopySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
258<tr class="separator:a76fea9e8e52d879f59b268b060635145 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
259<tr class="memitem:a081cfb99e9e5b240f8b151f0a7090431 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a081cfb99e9e5b240f8b151f0a7090431">IsMemImportSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
260<tr class="separator:a081cfb99e9e5b240f8b151f0a7090431 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
261<tr class="memitem:a21fd6e1714d62eb57f7e31e3ccaaa152 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a21fd6e1714d62eb57f7e31e3ccaaa152">IsMergeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input0, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input1, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
262<tr class="separator:a21fd6e1714d62eb57f7e31e3ccaaa152 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
263<tr class="memitem:aad6eabce66fdae7c3389450e9dc75df9 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#aad6eabce66fdae7c3389450e9dc75df9">IsQuantizedLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;previousCellStateIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;previousOutputIn, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;cellStateOut, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, const <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> &amp;paramsInfo, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
264<tr class="separator:aad6eabce66fdae7c3389450e9dc75df9 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
265<tr class="memitem:a4b423d2cd51bbfb363141d823cecf943 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#a4b423d2cd51bbfb363141d823cecf943">IsShapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;input, const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;output, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
266<tr class="separator:a4b423d2cd51bbfb363141d823cecf943 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
267<tr class="memitem:ad00d990a0de5580f3171e63f0d8dd8d5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.html#ad00d990a0de5580f3171e63f0d8dd8d5">IsStandInSupported</a> (const std::vector&lt; const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * &gt; &amp;inputs, const std::vector&lt; const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * &gt; &amp;outputs, const <a class="el" href="structarmnn_1_1_stand_in_descriptor.html">StandInDescriptor</a> &amp;descriptor, <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt; reasonIfUnsupported=<a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()) const</td></tr>
268<tr class="separator:ad00d990a0de5580f3171e63f0d8dd8d5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
269</table><table class="memberdecls">
270<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
271Additional Inherited Members</h2></td></tr>
272<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="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_layer_support.html">ILayerSupport</a></td></tr>
273<tr class="memitem:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.html#aab2a487bc88047443d8a0f87c3c40b8d">ILayerSupport</a> ()</td></tr>
274<tr class="separator:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2">&#160;</td></tr>
275<tr class="memitem:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.html#a9e7f4f28576904804cd759e49173beeb">~ILayerSupport</a> ()</td></tr>
276<tr class="separator:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2">&#160;</td></tr>
277</table>
278<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
279<div class="textblock">
280<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8hpp_source.html#l00014">14</a> of file <a class="el" href="_cl_layer_support_8hpp_source.html">ClLayerSupport.hpp</a>.</p>
281</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
282<a id="adcaa3eb3d4e1bf48a235b97170dccd15"></a>
283<h2 class="memtitle"><span class="permalink"><a href="#adcaa3eb3d4e1bf48a235b97170dccd15">&#9670;&nbsp;</a></span>ClLayerSupport() <span class="overload">[1/2]</span></h2>
284
285<div class="memitem">
286<div class="memproto">
287<table class="mlabels">
288 <tr>
289 <td class="mlabels-left">
290 <table class="memname">
291 <tr>
292 <td class="memname"><a class="el" href="classarmnn_1_1_cl_layer_support.html">ClLayerSupport</a> </td>
293 <td>(</td>
294 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> &amp;&#160;</td>
295 <td class="paramname"><em>modelContextPtr</em></td><td>)</td>
296 <td></td>
297 </tr>
298 </table>
299 </td>
300 <td class="mlabels-right">
301<span class="mlabels"><span class="mlabel">explicit</span></span> </td>
302 </tr>
303</table>
304</div><div class="memdoc">
305
306<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00179">179</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
307<div class="fragment"><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; : m_ModelContextPtr(modelContextPtr)</div>
308<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;{</div>
309<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;}</div>
310</div><!-- fragment -->
311</div>
312</div>
313<a id="ac1dc1384ae65a68453cd3f5fd4a6adbd"></a>
314<h2 class="memtitle"><span class="permalink"><a href="#ac1dc1384ae65a68453cd3f5fd4a6adbd">&#9670;&nbsp;</a></span>ClLayerSupport() <span class="overload">[2/2]</span></h2>
315
316<div class="memitem">
317<div class="memproto">
318 <table class="memname">
319 <tr>
320 <td class="memname"><a class="el" href="classarmnn_1_1_cl_layer_support.html">ClLayerSupport</a> </td>
321 <td>(</td>
322 <td class="paramname"></td><td>)</td>
323 <td></td>
324 </tr>
325 </table>
326</div><div class="memdoc">
327
328<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00184">184</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
329<div class="fragment"><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; : m_ModelContextPtr(<span class="keyword">nullptr</span>)</div>
330<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;{</div>
331<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;}</div>
332</div><!-- fragment -->
333</div>
334</div>
335<a id="a35c41b0cdf5faf11fb39554c269e7f9b"></a>
336<h2 class="memtitle"><span class="permalink"><a href="#a35c41b0cdf5faf11fb39554c269e7f9b">&#9670;&nbsp;</a></span>~ClLayerSupport()</h2>
337
338<div class="memitem">
339<div class="memproto">
340<table class="mlabels">
341 <tr>
342 <td class="mlabels-left">
343 <table class="memname">
344 <tr>
345 <td class="memname">~<a class="el" href="classarmnn_1_1_cl_layer_support.html">ClLayerSupport</a> </td>
346 <td>(</td>
347 <td class="paramname"></td><td>)</td>
348 <td></td>
349 </tr>
350 </table>
351 </td>
352 <td class="mlabels-right">
353<span class="mlabels"><span class="mlabel">inline</span></span> </td>
354 </tr>
355</table>
356</div><div class="memdoc">
357
358<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8hpp_source.html#l00019">19</a> of file <a class="el" href="_cl_layer_support_8hpp_source.html">ClLayerSupport.hpp</a>.</p>
359<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{}</div>
360</div><!-- fragment -->
361</div>
362</div>
363<h2 class="groupheader">Member Function Documentation</h2>
364<a id="a963c34790fb5214b51b16b69d36fe3c8"></a>
365<h2 class="memtitle"><span class="permalink"><a href="#a963c34790fb5214b51b16b69d36fe3c8">&#9670;&nbsp;</a></span>IsActivationSupported()</h2>
366
367<div class="memitem">
368<div class="memproto">
369 <table class="memname">
370 <tr>
371 <td class="memname">bool IsActivationSupported </td>
372 <td>(</td>
373 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
374 <td class="paramname"><em>input</em>, </td>
375 </tr>
376 <tr>
377 <td class="paramkey"></td>
378 <td></td>
379 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
380 <td class="paramname"><em>output</em>, </td>
381 </tr>
382 <tr>
383 <td class="paramkey"></td>
384 <td></td>
385 <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a> &amp;&#160;</td>
386 <td class="paramname"><em>descriptor</em>, </td>
387 </tr>
388 <tr>
389 <td class="paramkey"></td>
390 <td></td>
391 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
392 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
393 </tr>
394 <tr>
395 <td></td>
396 <td>)</td>
397 <td></td><td> const</td>
398 </tr>
399 </table>
400</div><div class="memdoc">
401
402<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00705">705</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
403<div class="fragment"><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160;{</div>
404<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a42ef3cee193102dc7755193579209cca">ClActivationWorkloadValidate</a>,</div>
405<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; reasonIfUnsupported,</div>
406<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160; input,</div>
407<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160; output,</div>
408<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; descriptor);</div>
409<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160;}</div>
410</div><!-- fragment -->
411<p class="reference">References <a class="el" href="_cl_activation_workload_8cpp_source.html#l00017">armnn::ClActivationWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
412
413<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
414
415</div>
416</div>
417<a id="afaadd7f7db4d8827890b4cedaf3bac8e"></a>
418<h2 class="memtitle"><span class="permalink"><a href="#afaadd7f7db4d8827890b4cedaf3bac8e">&#9670;&nbsp;</a></span>IsAdditionSupported()</h2>
419
420<div class="memitem">
421<div class="memproto">
422 <table class="memname">
423 <tr>
424 <td class="memname">bool IsAdditionSupported </td>
425 <td>(</td>
426 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
427 <td class="paramname"><em>input0</em>, </td>
428 </tr>
429 <tr>
430 <td class="paramkey"></td>
431 <td></td>
432 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
433 <td class="paramname"><em>input1</em>, </td>
434 </tr>
435 <tr>
436 <td class="paramkey"></td>
437 <td></td>
438 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
439 <td class="paramname"><em>output</em>, </td>
440 </tr>
441 <tr>
442 <td class="paramkey"></td>
443 <td></td>
444 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
445 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
446 </tr>
447 <tr>
448 <td></td>
449 <td>)</td>
450 <td></td><td> const</td>
451 </tr>
452 </table>
453</div><div class="memdoc">
454
455<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00717">717</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
456<div class="fragment"><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160;{</div>
457<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a24fc3e8e29d3fa56cc6b2d81e48625d1">ClAdditionValidate</a>,</div>
458<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160; reasonIfUnsupported,</div>
459<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160; input0,</div>
460<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160; input1,</div>
461<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160; output,</div>
462<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160; <span class="keyword">nullptr</span>);</div>
463<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160;}</div>
464</div><!-- fragment -->
465<p class="reference">References <a class="el" href="_cl_addition_workload_8cpp_source.html#l00045">armnn::ClAdditionValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
466
467<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
468
469</div>
470</div>
471<a id="a36da5a4ac8ecbf58821989af2c289e59"></a>
472<h2 class="memtitle"><span class="permalink"><a href="#a36da5a4ac8ecbf58821989af2c289e59">&#9670;&nbsp;</a></span>IsArgMinMaxSupported()</h2>
473
474<div class="memitem">
475<div class="memproto">
476 <table class="memname">
477 <tr>
478 <td class="memname">bool IsArgMinMaxSupported </td>
479 <td>(</td>
480 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
481 <td class="paramname"><em>input</em>, </td>
482 </tr>
483 <tr>
484 <td class="paramkey"></td>
485 <td></td>
486 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
487 <td class="paramname"><em>output</em>, </td>
488 </tr>
489 <tr>
490 <td class="paramkey"></td>
491 <td></td>
492 <td class="paramtype">const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a> &amp;&#160;</td>
493 <td class="paramname"><em>descriptor</em>, </td>
494 </tr>
495 <tr>
496 <td class="paramkey"></td>
497 <td></td>
498 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
499 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
500 </tr>
501 <tr>
502 <td></td>
503 <td>)</td>
504 <td></td><td> const</td>
505 </tr>
506 </table>
507</div><div class="memdoc">
508
509<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00730">730</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
510<div class="fragment"><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160;{</div>
511<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160; </div>
512<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ab80423b306d8e0436b9a316922911d4d">ClArgMinMaxWorkloadValidate</a>,</div>
513<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>&#160; reasonIfUnsupported,</div>
514<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160; input,</div>
515<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; output,</div>
516<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; descriptor);</div>
517<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160;}</div>
518</div><!-- fragment -->
519<p class="reference">References <a class="el" href="_cl_arg_min_max_workload_8cpp_source.html#l00031">armnn::ClArgMinMaxWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
520
521<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
522
523</div>
524</div>
525<a id="a22cfc1d5f68bd32db0aa126e8fd9e615"></a>
526<h2 class="memtitle"><span class="permalink"><a href="#a22cfc1d5f68bd32db0aa126e8fd9e615">&#9670;&nbsp;</a></span>IsBatchMatMulSupported()</h2>
527
528<div class="memitem">
529<div class="memproto">
530 <table class="memname">
531 <tr>
532 <td class="memname">bool IsBatchMatMulSupported </td>
533 <td>(</td>
534 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
535 <td class="paramname"><em>inputX</em>, </td>
536 </tr>
537 <tr>
538 <td class="paramkey"></td>
539 <td></td>
540 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
541 <td class="paramname"><em>inputY</em>, </td>
542 </tr>
543 <tr>
544 <td class="paramkey"></td>
545 <td></td>
546 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
547 <td class="paramname"><em>output</em>, </td>
548 </tr>
549 <tr>
550 <td class="paramkey"></td>
551 <td></td>
552 <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a> &amp;&#160;</td>
553 <td class="paramname"><em>descriptor</em>, </td>
554 </tr>
555 <tr>
556 <td class="paramkey"></td>
557 <td></td>
558 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
559 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
560 </tr>
561 <tr>
562 <td></td>
563 <td>)</td>
564 <td></td><td> const</td>
565 </tr>
566 </table>
567</div><div class="memdoc">
568
569<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00743">743</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
570<div class="fragment"><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160;{</div>
571<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a21911dfddb6d7787c7afcdc5fc25d4a7">ClBatchMatMulValidate</a>,</div>
572<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160; reasonIfUnsupported,</div>
573<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; inputX,</div>
574<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; inputY,</div>
575<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; output,</div>
576<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; descriptor,</div>
577<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; <span class="keyword">nullptr</span>);</div>
578<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160;}</div>
579</div><!-- fragment -->
580<p class="reference">References <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.html#l00024">armnn::ClBatchMatMulValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
581
582<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
583
584</div>
585</div>
586<a id="aefe6105143396c8fd46f29266c63d948"></a>
587<h2 class="memtitle"><span class="permalink"><a href="#aefe6105143396c8fd46f29266c63d948">&#9670;&nbsp;</a></span>IsBatchNormalizationSupported()</h2>
588
589<div class="memitem">
590<div class="memproto">
591 <table class="memname">
592 <tr>
593 <td class="memname">bool IsBatchNormalizationSupported </td>
594 <td>(</td>
595 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
596 <td class="paramname"><em>input</em>, </td>
597 </tr>
598 <tr>
599 <td class="paramkey"></td>
600 <td></td>
601 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
602 <td class="paramname"><em>output</em>, </td>
603 </tr>
604 <tr>
605 <td class="paramkey"></td>
606 <td></td>
607 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
608 <td class="paramname"><em>mean</em>, </td>
609 </tr>
610 <tr>
611 <td class="paramkey"></td>
612 <td></td>
613 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
614 <td class="paramname"><em>var</em>, </td>
615 </tr>
616 <tr>
617 <td class="paramkey"></td>
618 <td></td>
619 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
620 <td class="paramname"><em>beta</em>, </td>
621 </tr>
622 <tr>
623 <td class="paramkey"></td>
624 <td></td>
625 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
626 <td class="paramname"><em>gamma</em>, </td>
627 </tr>
628 <tr>
629 <td class="paramkey"></td>
630 <td></td>
631 <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a> &amp;&#160;</td>
632 <td class="paramname"><em>descriptor</em>, </td>
633 </tr>
634 <tr>
635 <td class="paramkey"></td>
636 <td></td>
637 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
638 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
639 </tr>
640 <tr>
641 <td></td>
642 <td>)</td>
643 <td></td><td> const</td>
644 </tr>
645 </table>
646</div><div class="memdoc">
647
648<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00758">758</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
649<div class="fragment"><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160;{</div>
650<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be">ClBatchNormalizationValidate</a>,</div>
651<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160; reasonIfUnsupported,</div>
652<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; input,</div>
653<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160; output,</div>
654<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; mean,</div>
655<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160; var,</div>
656<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160; beta,</div>
657<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160; gamma,</div>
658<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160; descriptor,</div>
659<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; <span class="keyword">nullptr</span>);</div>
660<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160;}</div>
661</div><!-- fragment -->
662<p class="reference">References <a class="el" href="_cl_batch_normalization_float_workload_8cpp_source.html#l00019">armnn::ClBatchNormalizationValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
663
664<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
665
666</div>
667</div>
668<a id="ae8523c4d9b6c18744d46a98d4984a011"></a>
669<h2 class="memtitle"><span class="permalink"><a href="#ae8523c4d9b6c18744d46a98d4984a011">&#9670;&nbsp;</a></span>IsBatchToSpaceNdSupported()</h2>
670
671<div class="memitem">
672<div class="memproto">
673 <table class="memname">
674 <tr>
675 <td class="memname">bool IsBatchToSpaceNdSupported </td>
676 <td>(</td>
677 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
678 <td class="paramname"><em>input</em>, </td>
679 </tr>
680 <tr>
681 <td class="paramkey"></td>
682 <td></td>
683 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
684 <td class="paramname"><em>output</em>, </td>
685 </tr>
686 <tr>
687 <td class="paramkey"></td>
688 <td></td>
689 <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a> &amp;&#160;</td>
690 <td class="paramname"><em>descriptor</em>, </td>
691 </tr>
692 <tr>
693 <td class="paramkey"></td>
694 <td></td>
695 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
696 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
697 </tr>
698 <tr>
699 <td></td>
700 <td>)</td>
701 <td></td><td> const</td>
702 </tr>
703 </table>
704</div><div class="memdoc">
705
706<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00779">779</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
707<div class="fragment"><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160;{</div>
708<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ae87476befb36d9cc4fb926337ba65b5d">ClBatchToSpaceNdWorkloadValidate</a>,</div>
709<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160; reasonIfUnsupported,</div>
710<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; input,</div>
711<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; output,</div>
712<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160; descriptor);</div>
713<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160;}</div>
714</div><!-- fragment -->
715<p class="reference">References <a class="el" href="_cl_batch_to_space_nd_workload_8cpp_source.html#l00017">armnn::ClBatchToSpaceNdWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
716
717<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
718
719</div>
720</div>
721<a id="a40767d1d9169c7f9c1f1ef2f2aa87133"></a>
722<h2 class="memtitle"><span class="permalink"><a href="#a40767d1d9169c7f9c1f1ef2f2aa87133">&#9670;&nbsp;</a></span>IsCastSupported()</h2>
723
724<div class="memitem">
725<div class="memproto">
726 <table class="memname">
727 <tr>
728 <td class="memname">bool IsCastSupported </td>
729 <td>(</td>
730 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
731 <td class="paramname"><em>input</em>, </td>
732 </tr>
733 <tr>
734 <td class="paramkey"></td>
735 <td></td>
736 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
737 <td class="paramname"><em>output</em>, </td>
738 </tr>
739 <tr>
740 <td class="paramkey"></td>
741 <td></td>
742 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
743 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
744 </tr>
745 <tr>
746 <td></td>
747 <td>)</td>
748 <td></td><td> const</td>
749 </tr>
750 </table>
751</div><div class="memdoc">
752
753<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00791">791</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
754<div class="fragment"><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160;{</div>
755<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a7f82264f26183ae3c66390e33be14ec6">ClCastValidate</a>,</div>
756<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160; reasonIfUnsupported,</div>
757<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160; input,</div>
758<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160; output);</div>
759<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160;}</div>
760</div><!-- fragment -->
761<p class="reference">References <a class="el" href="_cl_cast_workload_8cpp_source.html#l00020">armnn::ClCastValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
762
763<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
764
765</div>
766</div>
767<a id="abe9e711bd5dc9844369d4c706e0d8b0a"></a>
768<h2 class="memtitle"><span class="permalink"><a href="#abe9e711bd5dc9844369d4c706e0d8b0a">&#9670;&nbsp;</a></span>IsChannelShuffleSupported()</h2>
769
770<div class="memitem">
771<div class="memproto">
772 <table class="memname">
773 <tr>
774 <td class="memname">bool IsChannelShuffleSupported </td>
775 <td>(</td>
776 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
777 <td class="paramname"><em>input</em>, </td>
778 </tr>
779 <tr>
780 <td class="paramkey"></td>
781 <td></td>
782 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
783 <td class="paramname"><em>output</em>, </td>
784 </tr>
785 <tr>
786 <td class="paramkey"></td>
787 <td></td>
788 <td class="paramtype">const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a> &amp;&#160;</td>
789 <td class="paramname"><em>descriptor</em>, </td>
790 </tr>
791 <tr>
792 <td class="paramkey"></td>
793 <td></td>
794 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
795 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
796 </tr>
797 <tr>
798 <td></td>
799 <td>)</td>
800 <td></td><td> const</td>
801 </tr>
802 </table>
803</div><div class="memdoc">
804
805<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00801">801</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
806<div class="fragment"><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160;{</div>
807<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a02e646180897aca9fcbc02d16efdd784">ClChannelShuffleValidate</a>,</div>
808<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; reasonIfUnsupported,</div>
809<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; input,</div>
810<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160; output,</div>
811<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; descriptor);</div>
812<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160;}</div>
813</div><!-- fragment -->
814<p class="reference">References <a class="el" href="_cl_channel_shuffle_workload_8cpp_source.html#l00020">armnn::ClChannelShuffleValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
815
816<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
817
818</div>
819</div>
820<a id="abdd824d4e7e43e8a8738955fe570ada0"></a>
821<h2 class="memtitle"><span class="permalink"><a href="#abdd824d4e7e43e8a8738955fe570ada0">&#9670;&nbsp;</a></span>IsComparisonSupported()</h2>
822
823<div class="memitem">
824<div class="memproto">
825 <table class="memname">
826 <tr>
827 <td class="memname">bool IsComparisonSupported </td>
828 <td>(</td>
829 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
830 <td class="paramname"><em>input0</em>, </td>
831 </tr>
832 <tr>
833 <td class="paramkey"></td>
834 <td></td>
835 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
836 <td class="paramname"><em>input1</em>, </td>
837 </tr>
838 <tr>
839 <td class="paramkey"></td>
840 <td></td>
841 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
842 <td class="paramname"><em>ouput</em>, </td>
843 </tr>
844 <tr>
845 <td class="paramkey"></td>
846 <td></td>
847 <td class="paramtype">const <a class="el" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a> &amp;&#160;</td>
848 <td class="paramname"><em>descriptor</em>, </td>
849 </tr>
850 <tr>
851 <td class="paramkey"></td>
852 <td></td>
853 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
854 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
855 </tr>
856 <tr>
857 <td></td>
858 <td>)</td>
859 <td></td><td> const</td>
860 </tr>
861 </table>
862</div><div class="memdoc">
863
864<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00813">813</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
865<div class="fragment"><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160;{</div>
866<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#af6f6476c5d1c4c85153020f5229ebd14">ClComparisonWorkloadValidate</a>,</div>
867<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160; reasonIfUnsupported,</div>
868<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; input0,</div>
869<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160; input1,</div>
870<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160; output,</div>
871<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160; descriptor);</div>
872<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160;}</div>
873</div><!-- fragment -->
874<p class="reference">References <a class="el" href="_cl_comparison_workload_8cpp_source.html#l00024">armnn::ClComparisonWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
875
876<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
877
878</div>
879</div>
880<a id="ab56e4c49e3cbd6b486b4a9e6b89e6e0c"></a>
881<h2 class="memtitle"><span class="permalink"><a href="#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">&#9670;&nbsp;</a></span>IsConcatSupported()</h2>
882
883<div class="memitem">
884<div class="memproto">
885 <table class="memname">
886 <tr>
887 <td class="memname">bool IsConcatSupported </td>
888 <td>(</td>
889 <td class="paramtype">const std::vector&lt; const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * &gt;&#160;</td>
890 <td class="paramname"><em>inputs</em>, </td>
891 </tr>
892 <tr>
893 <td class="paramkey"></td>
894 <td></td>
895 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
896 <td class="paramname"><em>output</em>, </td>
897 </tr>
898 <tr>
899 <td class="paramkey"></td>
900 <td></td>
901 <td class="paramtype">const <a class="el" href="structarmnn_1_1_origins_descriptor.html">OriginsDescriptor</a> &amp;&#160;</td>
902 <td class="paramname"><em>descriptor</em>, </td>
903 </tr>
904 <tr>
905 <td class="paramkey"></td>
906 <td></td>
907 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
908 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
909 </tr>
910 <tr>
911 <td></td>
912 <td>)</td>
913 <td></td><td> const</td>
914 </tr>
915 </table>
916</div><div class="memdoc">
917
918<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00827">827</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
919<div class="fragment"><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160;{</div>
920<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>&#160; <span class="keywordflow">if</span> (descriptor.GetNumDimensions() &lt;= descriptor.GetConcatAxis())</div>
921<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>&#160; {</div>
922<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160; <a class="code" href="namespacearmnn.html#a8c88a8a91827e9ccc3cf3ce6b14fcd17">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">&quot;Cl Concat: Concat axis &gt; Number of dimensions.&quot;</span>);</div>
923<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
924<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160; }</div>
925<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160; </div>
926<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatInnerAxis = (descriptor.GetNumDimensions() - descriptor.GetConcatAxis()) - 1;</div>
927<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160; <span class="keywordflow">if</span>(concatInnerAxis &lt; 3) <span class="comment">// Width, height, or channels</span></div>
928<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160; {</div>
929<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a0784b1fdac2844c5d6f331ab6e9af547">ClConcatWorkloadValidate</a>,</div>
930<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160; reasonIfUnsupported,</div>
931<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160; inputs,</div>
932<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160; output,</div>
933<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160; descriptor);</div>
934<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160; }</div>
935<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (concatInnerAxis == 3)</div>
936<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160; {</div>
937<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>&#160; <span class="comment">// We rely on the sub-tensor optimization to handle the batch dimension for 4D tensors. If we can&#39;t use</span></div>
938<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>&#160; <span class="comment">// sub-tensors for this then we can&#39;t support it. Here is where we check that the sub-tensors will work.</span></div>
939<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; input : inputs)</div>
940<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160; {</div>
941<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160; <span class="keywordflow">if</span> (input &amp;&amp; !output.IsTypeSpaceMatch(*input)) <span class="comment">// Cannot use sub-tensors if the types are not same space</span></div>
942<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160; {</div>
943<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>&#160; <a class="code" href="namespacearmnn.html#a8c88a8a91827e9ccc3cf3ce6b14fcd17">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">&quot;Cl Concat: Types and quantization parameters must match.&quot;</span>);</div>
944<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
945<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>&#160; }</div>
946<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160; }</div>
947<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>; <span class="comment">// Sub-tensors support concat along batch</span></div>
948<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160; }</div>
949<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160; <span class="keywordflow">else</span> <span class="comment">// &gt; 4 dimensions not supported.</span></div>
950<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160; {</div>
951<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160; <a class="code" href="namespacearmnn.html#a8c88a8a91827e9ccc3cf3ce6b14fcd17">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">&quot;Cl Concat: Maximum of 4 dimensions supported.&quot;</span>);</div>
952<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
953<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160; }</div>
954<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160;}</div>
955</div><!-- fragment -->
956<p class="reference">References <a class="el" href="_cl_concat_workload_8cpp_source.html#l00027">armnn::ClConcatWorkloadValidate()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, <a class="el" href="_descriptors_8cpp_source.html#l00162">OriginsDescriptor::GetConcatAxis()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00192">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_tensor_8cpp_source.html#l00432">TensorInfo::IsTypeSpaceMatch()</a>, and <a class="el" href="_layer_support_common_8hpp_source.html#l00017">armnn::SetValueChecked()</a>.</p>
957
958<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
959
960</div>
961</div>
962<a id="a3741887d06449834eea19c00d1320f7c"></a>
963<h2 class="memtitle"><span class="permalink"><a href="#a3741887d06449834eea19c00d1320f7c">&#9670;&nbsp;</a></span>IsConstantSupported()</h2>
964
965<div class="memitem">
966<div class="memproto">
967 <table class="memname">
968 <tr>
969 <td class="memname">bool IsConstantSupported </td>
970 <td>(</td>
971 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
972 <td class="paramname"><em>output</em>, </td>
973 </tr>
974 <tr>
975 <td class="paramkey"></td>
976 <td></td>
977 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
978 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
979 </tr>
980 <tr>
981 <td></td>
982 <td>)</td>
983 <td></td><td> const</td>
984 </tr>
985 </table>
986</div><div class="memdoc">
987
988<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00868">868</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
989<div class="fragment"><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160;{</div>
990<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a2f5c2e8794174361f2308f4a0d3f9c73">ClConstantWorkloadValidate</a>,</div>
991<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160; reasonIfUnsupported,</div>
992<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160; output);</div>
993<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160;}</div>
994</div><!-- fragment -->
995<p class="reference">References <a class="el" href="_cl_constant_workload_8cpp_source.html#l00018">armnn::ClConstantWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
996
997<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
998
999</div>
1000</div>
1001<a id="ab4684a5f416ac243a4519f54e683b535"></a>
1002<h2 class="memtitle"><span class="permalink"><a href="#ab4684a5f416ac243a4519f54e683b535">&#9670;&nbsp;</a></span>IsConvertFp16ToFp32Supported()</h2>
1003
1004<div class="memitem">
1005<div class="memproto">
1006 <table class="memname">
1007 <tr>
1008 <td class="memname">bool IsConvertFp16ToFp32Supported </td>
1009 <td>(</td>
1010 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1011 <td class="paramname"><em>input</em>, </td>
1012 </tr>
1013 <tr>
1014 <td class="paramkey"></td>
1015 <td></td>
1016 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1017 <td class="paramname"><em>output</em>, </td>
1018 </tr>
1019 <tr>
1020 <td class="paramkey"></td>
1021 <td></td>
1022 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1023 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1024 </tr>
1025 <tr>
1026 <td></td>
1027 <td>)</td>
1028 <td></td><td> const</td>
1029 </tr>
1030 </table>
1031</div><div class="memdoc">
1032
1033<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00876">876</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1034<div class="fragment"><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160;{</div>
1035<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a46efae0191388fd33db4e95c5d79e2be">ClConvertFp16ToFp32WorkloadValidate</a>,</div>
1036<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>&#160; reasonIfUnsupported,</div>
1037<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160; input,</div>
1038<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; output);</div>
1039<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160;}</div>
1040</div><!-- fragment -->
1041<p class="reference">References <a class="el" href="_cl_convert_fp16_to_fp32_workload_8cpp_source.html#l00044">armnn::ClConvertFp16ToFp32WorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1042
1043<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1044
1045</div>
1046</div>
1047<a id="a63cd5b66c276be0542571be736aaf7f5"></a>
1048<h2 class="memtitle"><span class="permalink"><a href="#a63cd5b66c276be0542571be736aaf7f5">&#9670;&nbsp;</a></span>IsConvertFp32ToFp16Supported()</h2>
1049
1050<div class="memitem">
1051<div class="memproto">
1052 <table class="memname">
1053 <tr>
1054 <td class="memname">bool IsConvertFp32ToFp16Supported </td>
1055 <td>(</td>
1056 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1057 <td class="paramname"><em>input</em>, </td>
1058 </tr>
1059 <tr>
1060 <td class="paramkey"></td>
1061 <td></td>
1062 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1063 <td class="paramname"><em>output</em>, </td>
1064 </tr>
1065 <tr>
1066 <td class="paramkey"></td>
1067 <td></td>
1068 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1069 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1070 </tr>
1071 <tr>
1072 <td></td>
1073 <td>)</td>
1074 <td></td><td> const</td>
1075 </tr>
1076 </table>
1077</div><div class="memdoc">
1078
1079<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00886">886</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1080<div class="fragment"><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160;{</div>
1081<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a37f6946bfb7a9c7d64881b7a2e13945f">ClConvertFp32ToFp16WorkloadValidate</a>,</div>
1082<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160; reasonIfUnsupported,</div>
1083<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>&#160; input,</div>
1084<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>&#160; output);</div>
1085<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160;}</div>
1086</div><!-- fragment -->
1087<p class="reference">References <a class="el" href="_cl_convert_fp32_to_fp16_workload_8cpp_source.html#l00044">armnn::ClConvertFp32ToFp16WorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1088
1089<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1090
1091</div>
1092</div>
1093<a id="a0e7afe178736bc0844695e051d12be51"></a>
1094<h2 class="memtitle"><span class="permalink"><a href="#a0e7afe178736bc0844695e051d12be51">&#9670;&nbsp;</a></span>IsConvolution2dSupported()</h2>
1095
1096<div class="memitem">
1097<div class="memproto">
1098 <table class="memname">
1099 <tr>
1100 <td class="memname">bool IsConvolution2dSupported </td>
1101 <td>(</td>
1102 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1103 <td class="paramname"><em>input</em>, </td>
1104 </tr>
1105 <tr>
1106 <td class="paramkey"></td>
1107 <td></td>
1108 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1109 <td class="paramname"><em>output</em>, </td>
1110 </tr>
1111 <tr>
1112 <td class="paramkey"></td>
1113 <td></td>
1114 <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a> &amp;&#160;</td>
1115 <td class="paramname"><em>descriptor</em>, </td>
1116 </tr>
1117 <tr>
1118 <td class="paramkey"></td>
1119 <td></td>
1120 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1121 <td class="paramname"><em>weights</em>, </td>
1122 </tr>
1123 <tr>
1124 <td class="paramkey"></td>
1125 <td></td>
1126 <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;&#160;</td>
1127 <td class="paramname"><em>biases</em>, </td>
1128 </tr>
1129 <tr>
1130 <td class="paramkey"></td>
1131 <td></td>
1132 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1133 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1134 </tr>
1135 <tr>
1136 <td></td>
1137 <td>)</td>
1138 <td></td><td> const</td>
1139 </tr>
1140 </table>
1141</div><div class="memdoc">
1142
1143<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00896">896</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1144<div class="fragment"><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160;{</div>
1145<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>&#160; <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div>
1146<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
1147<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr)</div>
1148<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>&#160; {</div>
1149<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div>
1150<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>&#160; {</div>
1151<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>&#160; <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast&lt;</span>ClBackendModelContext*<span class="keyword">&gt;</span>(m_ModelContextPtr.get());</div>
1152<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>&#160; <span class="keywordflow">if</span> (modelOptions)</div>
1153<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>&#160; {</div>
1154<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>&#160; isFastMathEnabled = modelOptions-&gt;IsFastMathEnabled();</div>
1155<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160; }</div>
1156<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>&#160; }</div>
1157<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>&#160; }</div>
1158<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>&#160;<span class="preprocessor">#endif</span></div>
1159<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160; </div>
1160<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a61cf0886d4c1a6e24c101a57ccb2ec31">ClConvolution2dWorkloadValidate</a>,</div>
1161<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160; reasonIfUnsupported,</div>
1162<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>&#160; input,</div>
1163<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160; output,</div>
1164<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>&#160; descriptor,</div>
1165<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160; weights,</div>
1166<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160; biases,</div>
1167<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160; isFastMathEnabled,</div>
1168<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160; <span class="keyword">nullptr</span>);</div>
1169<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160;}</div>
1170</div><!-- fragment -->
1171<p class="reference">References <a class="el" href="_cl_convolution2d_workload_8cpp_source.html#l00023">armnn::ClConvolution2dWorkloadValidate()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, and <a class="el" href="_cl_backend_model_context_8cpp_source.html#l00066">ClBackendModelContext::IsFastMathEnabled()</a>.</p>
1172
1173<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1174
1175</div>
1176</div>
1177<a id="a57927a58bc6bb87455b51a2786fe1b3b"></a>
1178<h2 class="memtitle"><span class="permalink"><a href="#a57927a58bc6bb87455b51a2786fe1b3b">&#9670;&nbsp;</a></span>IsConvolution3dSupported()</h2>
1179
1180<div class="memitem">
1181<div class="memproto">
1182 <table class="memname">
1183 <tr>
1184 <td class="memname">bool IsConvolution3dSupported </td>
1185 <td>(</td>
1186 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1187 <td class="paramname"><em>input</em>, </td>
1188 </tr>
1189 <tr>
1190 <td class="paramkey"></td>
1191 <td></td>
1192 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1193 <td class="paramname"><em>output</em>, </td>
1194 </tr>
1195 <tr>
1196 <td class="paramkey"></td>
1197 <td></td>
1198 <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> &amp;&#160;</td>
1199 <td class="paramname"><em>descriptor</em>, </td>
1200 </tr>
1201 <tr>
1202 <td class="paramkey"></td>
1203 <td></td>
1204 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1205 <td class="paramname"><em>weights</em>, </td>
1206 </tr>
1207 <tr>
1208 <td class="paramkey"></td>
1209 <td></td>
1210 <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;&#160;</td>
1211 <td class="paramname"><em>biases</em>, </td>
1212 </tr>
1213 <tr>
1214 <td class="paramkey"></td>
1215 <td></td>
1216 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1217 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1218 </tr>
1219 <tr>
1220 <td></td>
1221 <td>)</td>
1222 <td></td><td> const</td>
1223 </tr>
1224 </table>
1225</div><div class="memdoc">
1226
1227<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00929">929</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1228<div class="fragment"><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160;{</div>
1229<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div>
1230<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
1231<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr)</div>
1232<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160;{</div>
1233<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div>
1234<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; {</div>
1235<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160; <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast&lt;</span>ClBackendModelContext*<span class="keyword">&gt;</span>(m_ModelContextPtr.get());</div>
1236<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; <span class="keywordflow">if</span> (modelOptions)</div>
1237<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; {</div>
1238<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; isFastMathEnabled = modelOptions-&gt;IsFastMathEnabled();</div>
1239<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; }</div>
1240<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; }</div>
1241<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160;}</div>
1242<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160;<span class="preprocessor">#endif</span></div>
1243<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; </div>
1244<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ae387b3587bcce82eb33623b300097a8c">ClConvolution3dWorkloadValidate</a>,</div>
1245<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>&#160; reasonIfUnsupported,</div>
1246<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160; input,</div>
1247<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>&#160; output,</div>
1248<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160; descriptor,</div>
1249<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160; weights,</div>
1250<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160; biases,</div>
1251<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160; isFastMathEnabled,</div>
1252<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>&#160; <span class="keyword">nullptr</span>);</div>
1253<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160;}</div>
1254</div><!-- fragment -->
1255<p class="reference">References <a class="el" href="_cl_convolution3d_workload_8cpp_source.html#l00023">armnn::ClConvolution3dWorkloadValidate()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, and <a class="el" href="_cl_backend_model_context_8cpp_source.html#l00066">ClBackendModelContext::IsFastMathEnabled()</a>.</p>
1256
1257<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1258
1259</div>
1260</div>
1261<a id="a7ed10202fff7c54f2d5b27c3ecd21567"></a>
1262<h2 class="memtitle"><span class="permalink"><a href="#a7ed10202fff7c54f2d5b27c3ecd21567">&#9670;&nbsp;</a></span>IsDepthToSpaceSupported()</h2>
1263
1264<div class="memitem">
1265<div class="memproto">
1266 <table class="memname">
1267 <tr>
1268 <td class="memname">bool IsDepthToSpaceSupported </td>
1269 <td>(</td>
1270 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1271 <td class="paramname"><em>input</em>, </td>
1272 </tr>
1273 <tr>
1274 <td class="paramkey"></td>
1275 <td></td>
1276 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1277 <td class="paramname"><em>output</em>, </td>
1278 </tr>
1279 <tr>
1280 <td class="paramkey"></td>
1281 <td></td>
1282 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> &amp;&#160;</td>
1283 <td class="paramname"><em>descriptor</em>, </td>
1284 </tr>
1285 <tr>
1286 <td class="paramkey"></td>
1287 <td></td>
1288 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1289 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1290 </tr>
1291 <tr>
1292 <td></td>
1293 <td>)</td>
1294 <td></td><td> const</td>
1295 </tr>
1296 </table>
1297</div><div class="memdoc">
1298
1299<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00972">972</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1300<div class="fragment"><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>&#160;{</div>
1301<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ab3624c723d9a0ec93722b19060b76115">ClDepthToSpaceWorkloadValidate</a>,</div>
1302<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>&#160; reasonIfUnsupported,</div>
1303<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160; input,</div>
1304<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>&#160; output,</div>
1305<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160; descriptor);</div>
1306<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>&#160;}</div>
1307</div><!-- fragment -->
1308<p class="reference">References <a class="el" href="_cl_depth_to_space_workload_8cpp_source.html#l00022">armnn::ClDepthToSpaceWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1309
1310<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1311
1312</div>
1313</div>
1314<a id="a8e778f7b99b33e242145ff2319ae585c"></a>
1315<h2 class="memtitle"><span class="permalink"><a href="#a8e778f7b99b33e242145ff2319ae585c">&#9670;&nbsp;</a></span>IsDepthwiseConvolutionSupported()</h2>
1316
1317<div class="memitem">
1318<div class="memproto">
1319 <table class="memname">
1320 <tr>
1321 <td class="memname">bool IsDepthwiseConvolutionSupported </td>
1322 <td>(</td>
1323 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1324 <td class="paramname"><em>input</em>, </td>
1325 </tr>
1326 <tr>
1327 <td class="paramkey"></td>
1328 <td></td>
1329 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1330 <td class="paramname"><em>output</em>, </td>
1331 </tr>
1332 <tr>
1333 <td class="paramkey"></td>
1334 <td></td>
1335 <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &amp;&#160;</td>
1336 <td class="paramname"><em>descriptor</em>, </td>
1337 </tr>
1338 <tr>
1339 <td class="paramkey"></td>
1340 <td></td>
1341 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1342 <td class="paramname"><em>weights</em>, </td>
1343 </tr>
1344 <tr>
1345 <td class="paramkey"></td>
1346 <td></td>
1347 <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;&#160;</td>
1348 <td class="paramname"><em>biases</em>, </td>
1349 </tr>
1350 <tr>
1351 <td class="paramkey"></td>
1352 <td></td>
1353 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1354 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1355 </tr>
1356 <tr>
1357 <td></td>
1358 <td>)</td>
1359 <td></td><td> const</td>
1360 </tr>
1361 </table>
1362</div><div class="memdoc">
1363
1364<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00984">984</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1365<div class="fragment"><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>&#160;{</div>
1366<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b">ClDepthwiseConvolutionWorkloadValidate</a>,</div>
1367<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>&#160; reasonIfUnsupported,</div>
1368<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>&#160; input,</div>
1369<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>&#160; output,</div>
1370<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>&#160; descriptor,</div>
1371<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>&#160; weights,</div>
1372<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>&#160; biases,</div>
1373<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>&#160; <span class="keyword">nullptr</span>);</div>
1374<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>&#160;}</div>
1375</div><!-- fragment -->
1376<p class="reference">References <a class="el" href="_cl_depthwise_convolution_workload_8cpp_source.html#l00026">armnn::ClDepthwiseConvolutionWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1377
1378<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1379
1380</div>
1381</div>
1382<a id="a25adbaea31c52a55a1fa3afa7546be02"></a>
1383<h2 class="memtitle"><span class="permalink"><a href="#a25adbaea31c52a55a1fa3afa7546be02">&#9670;&nbsp;</a></span>IsDequantizeSupported()</h2>
1384
1385<div class="memitem">
1386<div class="memproto">
1387 <table class="memname">
1388 <tr>
1389 <td class="memname">bool IsDequantizeSupported </td>
1390 <td>(</td>
1391 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1392 <td class="paramname"><em>input</em>, </td>
1393 </tr>
1394 <tr>
1395 <td class="paramkey"></td>
1396 <td></td>
1397 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1398 <td class="paramname"><em>output</em>, </td>
1399 </tr>
1400 <tr>
1401 <td class="paramkey"></td>
1402 <td></td>
1403 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1404 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1405 </tr>
1406 <tr>
1407 <td></td>
1408 <td>)</td>
1409 <td></td><td> const</td>
1410 </tr>
1411 </table>
1412</div><div class="memdoc">
1413
1414<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00962">962</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1415<div class="fragment"><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>&#160;{</div>
1416<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a75045734c29d7d6635342c05adbc151b">ClDequantizeWorkloadValidate</a>,</div>
1417<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; reasonIfUnsupported,</div>
1418<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160; input,</div>
1419<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160; output);</div>
1420<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>&#160;}</div>
1421</div><!-- fragment -->
1422<p class="reference">References <a class="el" href="_cl_dequantize_workload_8cpp_source.html#l00022">armnn::ClDequantizeWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1423
1424<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1425
1426</div>
1427</div>
1428<a id="aa1caadf76e5ebf10d6875564dcff19ac"></a>
1429<h2 class="memtitle"><span class="permalink"><a href="#aa1caadf76e5ebf10d6875564dcff19ac">&#9670;&nbsp;</a></span>IsDilatedDepthwiseConvolutionSupported()</h2>
1430
1431<div class="memitem">
1432<div class="memproto">
1433 <table class="memname">
1434 <tr>
1435 <td class="memname">bool IsDilatedDepthwiseConvolutionSupported </td>
1436 <td>(</td>
1437 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1438 <td class="paramname"><em>input</em>, </td>
1439 </tr>
1440 <tr>
1441 <td class="paramkey"></td>
1442 <td></td>
1443 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1444 <td class="paramname"><em>output</em>, </td>
1445 </tr>
1446 <tr>
1447 <td class="paramkey"></td>
1448 <td></td>
1449 <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a> &amp;&#160;</td>
1450 <td class="paramname"><em>descriptor</em>, </td>
1451 </tr>
1452 <tr>
1453 <td class="paramkey"></td>
1454 <td></td>
1455 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1456 <td class="paramname"><em>weights</em>, </td>
1457 </tr>
1458 <tr>
1459 <td class="paramkey"></td>
1460 <td></td>
1461 <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;&#160;</td>
1462 <td class="paramname"><em>biases</em>, </td>
1463 </tr>
1464 <tr>
1465 <td class="paramkey"></td>
1466 <td></td>
1467 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1468 <td class="paramname"><em>reason</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1469 </tr>
1470 <tr>
1471 <td></td>
1472 <td>)</td>
1473 <td></td><td> const</td>
1474 </tr>
1475 </table>
1476</div><div class="memdoc">
1477
1478<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01001">1001</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1479<div class="fragment"><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;{</div>
1480<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b">ClDepthwiseConvolutionWorkloadValidate</a>,</div>
1481<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160; reasonIfUnsupported,</div>
1482<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160; input,</div>
1483<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160; output,</div>
1484<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160; descriptor,</div>
1485<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160; weights,</div>
1486<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160; biases,</div>
1487<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160; <span class="keyword">nullptr</span>);</div>
1488<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;}</div>
1489</div><!-- fragment -->
1490<p class="reference">References <a class="el" href="_cl_depthwise_convolution_workload_8cpp_source.html#l00026">armnn::ClDepthwiseConvolutionWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1491
1492</div>
1493</div>
1494<a id="aac1281b0616904d20dc397cfc5984e8b"></a>
1495<h2 class="memtitle"><span class="permalink"><a href="#aac1281b0616904d20dc397cfc5984e8b">&#9670;&nbsp;</a></span>IsDivisionSupported()</h2>
1496
1497<div class="memitem">
1498<div class="memproto">
1499 <table class="memname">
1500 <tr>
1501 <td class="memname">bool IsDivisionSupported </td>
1502 <td>(</td>
1503 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1504 <td class="paramname"><em>input0</em>, </td>
1505 </tr>
1506 <tr>
1507 <td class="paramkey"></td>
1508 <td></td>
1509 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1510 <td class="paramname"><em>input1</em>, </td>
1511 </tr>
1512 <tr>
1513 <td class="paramkey"></td>
1514 <td></td>
1515 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1516 <td class="paramname"><em>output</em>, </td>
1517 </tr>
1518 <tr>
1519 <td class="paramkey"></td>
1520 <td></td>
1521 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1522 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1523 </tr>
1524 <tr>
1525 <td></td>
1526 <td>)</td>
1527 <td></td><td> const</td>
1528 </tr>
1529 </table>
1530</div><div class="memdoc">
1531
1532<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01019">1019</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1533<div class="fragment"><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;{</div>
1534<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">ClDivisionWorkloadValidate</a>,</div>
1535<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160; reasonIfUnsupported,</div>
1536<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; input0,</div>
1537<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160; input1,</div>
1538<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160; output,</div>
1539<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; <span class="keyword">nullptr</span>);</div>
1540<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;}</div>
1541</div><!-- fragment -->
1542<p class="reference">References <a class="el" href="_cl_division_workload_8cpp_source.html#l00018">armnn::ClDivisionWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1543
1544<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1545
1546</div>
1547</div>
1548<a id="a734a989302f92b63d717f2ac395c3eb9"></a>
1549<h2 class="memtitle"><span class="permalink"><a href="#a734a989302f92b63d717f2ac395c3eb9">&#9670;&nbsp;</a></span>IsElementwiseUnarySupported()</h2>
1550
1551<div class="memitem">
1552<div class="memproto">
1553 <table class="memname">
1554 <tr>
1555 <td class="memname">bool IsElementwiseUnarySupported </td>
1556 <td>(</td>
1557 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1558 <td class="paramname"><em>input</em>, </td>
1559 </tr>
1560 <tr>
1561 <td class="paramkey"></td>
1562 <td></td>
1563 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1564 <td class="paramname"><em>output</em>, </td>
1565 </tr>
1566 <tr>
1567 <td class="paramkey"></td>
1568 <td></td>
1569 <td class="paramtype">const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a> &amp;&#160;</td>
1570 <td class="paramname"><em>descriptor</em>, </td>
1571 </tr>
1572 <tr>
1573 <td class="paramkey"></td>
1574 <td></td>
1575 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1576 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1577 </tr>
1578 <tr>
1579 <td></td>
1580 <td>)</td>
1581 <td></td><td> const</td>
1582 </tr>
1583 </table>
1584</div><div class="memdoc">
1585
1586<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01032">1032</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1587<div class="fragment"><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;{</div>
1588<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160; <span class="keywordflow">switch</span>(descriptor.m_Operation)</div>
1589<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160; {</div>
1590<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">UnaryOperation::Abs</a>:</div>
1591<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a1391582cd6e145b67c98f3410667968e">ClAbsWorkloadValidate</a>,</div>
1592<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160; reasonIfUnsupported,</div>
1593<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160; input,</div>
1594<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160; output);</div>
1595<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">UnaryOperation::Exp</a>:</div>
1596<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a9831849c09391e90e50de46e2ee16403">ClExpWorkloadValidate</a>,</div>
1597<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160; reasonIfUnsupported,</div>
1598<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160; input,</div>
1599<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160; output);</div>
1600<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">UnaryOperation::Log</a>:</div>
1601<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a64806be3c31d35b75546da7c6b6b46d0">ClLogWorkloadValidate</a>,</div>
1602<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160; reasonIfUnsupported,</div>
1603<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; input,</div>
1604<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160; output);</div>
1605<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>:</div>
1606<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ace776a194a715c709136a9966ada1a48">ClLogicalNotWorkloadValidate</a>,</div>
1607<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160; reasonIfUnsupported,</div>
1608<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160; input,</div>
1609<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; output);</div>
1610<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">UnaryOperation::Neg</a>:</div>
1611<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a66a3a6c05b38e48508bbbb3f32023ab7">ClNegWorkloadValidate</a>,</div>
1612<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160; reasonIfUnsupported,</div>
1613<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160; input,</div>
1614<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; output);</div>
1615<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">UnaryOperation::Rsqrt</a>:</div>
1616<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a3f6f9f0d3567ae04b49ea88727845900">ClRsqrtWorkloadValidate</a>,</div>
1617<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160; reasonIfUnsupported,</div>
1618<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160; input,</div>
1619<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160; output);</div>
1620<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">UnaryOperation::Sin</a>:</div>
1621<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ac5cd8464c73415025cb8c8f6ada74e15">ClSinWorkloadValidate</a>,</div>
1622<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160; reasonIfUnsupported,</div>
1623<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160; input,</div>
1624<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160; output);</div>
1625<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">UnaryOperation::Sqrt</a>:</div>
1626<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a34e66b74a990db4b29ea4f904c69d7d9">ClSqrtWorkloadValidate</a>,</div>
1627<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160; reasonIfUnsupported,</div>
1628<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160; input,</div>
1629<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; output);</div>
1630<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160; <span class="keywordflow">default</span>:</div>
1631<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
1632<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160; }</div>
1633<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;}</div>
1634</div><!-- fragment -->
1635<p class="reference">References <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>, <a class="el" href="_cl_abs_workload_8cpp_source.html#l00019">armnn::ClAbsWorkloadValidate()</a>, <a class="el" href="_cl_exp_workload_8cpp_source.html#l00018">armnn::ClExpWorkloadValidate()</a>, <a class="el" href="_cl_logical_not_workload_8cpp_source.html#l00020">armnn::ClLogicalNotWorkloadValidate()</a>, <a class="el" href="_cl_log_workload_8cpp_source.html#l00018">armnn::ClLogWorkloadValidate()</a>, <a class="el" href="_cl_neg_workload_8cpp_source.html#l00018">armnn::ClNegWorkloadValidate()</a>, <a class="el" href="_cl_rsqrt_workload_8cpp_source.html#l00018">armnn::ClRsqrtWorkloadValidate()</a>, <a class="el" href="_cl_sin_workload_8cpp_source.html#l00018">armnn::ClSinWorkloadValidate()</a>, <a class="el" href="_cl_sqrt_workload_8cpp_source.html#l00019">armnn::ClSqrtWorkloadValidate()</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">armnn::Exp</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">armnn::Log</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::LogicalNot</a>, <a class="el" href="_descriptors_8hpp_source.html#l00145">ElementwiseUnaryDescriptor::m_Operation</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">armnn::Neg</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::Rsqrt</a>, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">armnn::Sin</a>, and <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p>
1636
1637<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1638
1639</div>
1640</div>
1641<a id="ad557f8fa58e751c93cf271691834ca52"></a>
1642<h2 class="memtitle"><span class="permalink"><a href="#ad557f8fa58e751c93cf271691834ca52">&#9670;&nbsp;</a></span>IsFillSupported()</h2>
1643
1644<div class="memitem">
1645<div class="memproto">
1646 <table class="memname">
1647 <tr>
1648 <td class="memname">bool IsFillSupported </td>
1649 <td>(</td>
1650 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1651 <td class="paramname"><em>input</em>, </td>
1652 </tr>
1653 <tr>
1654 <td class="paramkey"></td>
1655 <td></td>
1656 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1657 <td class="paramname"><em>output</em>, </td>
1658 </tr>
1659 <tr>
1660 <td class="paramkey"></td>
1661 <td></td>
1662 <td class="paramtype">const <a class="el" href="structarmnn_1_1_fill_descriptor.html">FillDescriptor</a> &amp;&#160;</td>
1663 <td class="paramname"><em>descriptor</em>, </td>
1664 </tr>
1665 <tr>
1666 <td class="paramkey"></td>
1667 <td></td>
1668 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1669 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1670 </tr>
1671 <tr>
1672 <td></td>
1673 <td>)</td>
1674 <td></td><td> const</td>
1675 </tr>
1676 </table>
1677</div><div class="memdoc">
1678
1679<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01084">1084</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1680<div class="fragment"><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;{</div>
1681<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(input);</div>
1682<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(output);</div>
1683<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(descriptor);</div>
1684<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160; </div>
1685<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160; <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported);</div>
1686<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;}</div>
1687</div><!-- fragment -->
1688<p class="reference">References <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p>
1689
1690<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1691
1692</div>
1693</div>
1694<a id="aca92095e6a26d7f451042795afabea5b"></a>
1695<h2 class="memtitle"><span class="permalink"><a href="#aca92095e6a26d7f451042795afabea5b">&#9670;&nbsp;</a></span>IsFloorSupported()</h2>
1696
1697<div class="memitem">
1698<div class="memproto">
1699 <table class="memname">
1700 <tr>
1701 <td class="memname">bool IsFloorSupported </td>
1702 <td>(</td>
1703 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1704 <td class="paramname"><em>input</em>, </td>
1705 </tr>
1706 <tr>
1707 <td class="paramkey"></td>
1708 <td></td>
1709 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1710 <td class="paramname"><em>output</em>, </td>
1711 </tr>
1712 <tr>
1713 <td class="paramkey"></td>
1714 <td></td>
1715 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1716 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1717 </tr>
1718 <tr>
1719 <td></td>
1720 <td>)</td>
1721 <td></td><td> const</td>
1722 </tr>
1723 </table>
1724</div><div class="memdoc">
1725
1726<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01096">1096</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1727<div class="fragment"><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160;{</div>
1728<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a8874961260f35da85229554f92e16ca9">ClFloorWorkloadValidate</a>,</div>
1729<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160; reasonIfUnsupported,</div>
1730<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160; input,</div>
1731<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160; output);</div>
1732<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;}</div>
1733</div><!-- fragment -->
1734<p class="reference">References <a class="el" href="_cl_floor_float_workload_8cpp_source.html#l00014">armnn::ClFloorWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1735
1736<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1737
1738</div>
1739</div>
1740<a id="a6bb173cc16cd16909254787311c19995"></a>
1741<h2 class="memtitle"><span class="permalink"><a href="#a6bb173cc16cd16909254787311c19995">&#9670;&nbsp;</a></span>IsFullyConnectedSupported()</h2>
1742
1743<div class="memitem">
1744<div class="memproto">
1745 <table class="memname">
1746 <tr>
1747 <td class="memname">bool IsFullyConnectedSupported </td>
1748 <td>(</td>
1749 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1750 <td class="paramname"><em>input</em>, </td>
1751 </tr>
1752 <tr>
1753 <td class="paramkey"></td>
1754 <td></td>
1755 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1756 <td class="paramname"><em>output</em>, </td>
1757 </tr>
1758 <tr>
1759 <td class="paramkey"></td>
1760 <td></td>
1761 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1762 <td class="paramname"><em>weights</em>, </td>
1763 </tr>
1764 <tr>
1765 <td class="paramkey"></td>
1766 <td></td>
1767 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1768 <td class="paramname"><em>biases</em>, </td>
1769 </tr>
1770 <tr>
1771 <td class="paramkey"></td>
1772 <td></td>
1773 <td class="paramtype">const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a> &amp;&#160;</td>
1774 <td class="paramname"><em>descriptor</em>, </td>
1775 </tr>
1776 <tr>
1777 <td class="paramkey"></td>
1778 <td></td>
1779 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1780 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1781 </tr>
1782 <tr>
1783 <td></td>
1784 <td>)</td>
1785 <td></td><td> const</td>
1786 </tr>
1787 </table>
1788</div><div class="memdoc">
1789
1790<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01106">1106</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1791<div class="fragment"><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;{</div>
1792<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a18c7eef8533ca0acbbe081cd1a1fec98">ClFullyConnectedWorkloadValidate</a>,</div>
1793<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160; reasonIfUnsupported,</div>
1794<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160; input,</div>
1795<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160; output,</div>
1796<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160; weights,</div>
1797<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160; biases,</div>
1798<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160; descriptor,</div>
1799<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160; <span class="keyword">nullptr</span>);</div>
1800<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;}</div>
1801</div><!-- fragment -->
1802<p class="reference">References <a class="el" href="_cl_fully_connected_workload_8cpp_source.html#l00019">armnn::ClFullyConnectedWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1803
1804<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1805
1806</div>
1807</div>
1808<a id="ad0bca4c0de78df48fd6e63a3b8239f57"></a>
1809<h2 class="memtitle"><span class="permalink"><a href="#ad0bca4c0de78df48fd6e63a3b8239f57">&#9670;&nbsp;</a></span>IsGatherNdSupported()</h2>
1810
1811<div class="memitem">
1812<div class="memproto">
1813 <table class="memname">
1814 <tr>
1815 <td class="memname">bool IsGatherNdSupported </td>
1816 <td>(</td>
1817 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1818 <td class="paramname"><em>input0</em>, </td>
1819 </tr>
1820 <tr>
1821 <td class="paramkey"></td>
1822 <td></td>
1823 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1824 <td class="paramname"><em>input1</em>, </td>
1825 </tr>
1826 <tr>
1827 <td class="paramkey"></td>
1828 <td></td>
1829 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1830 <td class="paramname"><em>output</em>, </td>
1831 </tr>
1832 <tr>
1833 <td class="paramkey"></td>
1834 <td></td>
1835 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1836 <td class="paramname"><em>reasonIfUnsupported</em>&#160;</td>
1837 </tr>
1838 <tr>
1839 <td></td>
1840 <td>)</td>
1841 <td></td><td> const</td>
1842 </tr>
1843 </table>
1844</div><div class="memdoc">
1845
1846<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01137">1137</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1847<div class="fragment"><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;{</div>
1848<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#adc7c6ed4375eb58ea8fa20d6ec704a27">ClGatherNdWorkloadValidate</a>,</div>
1849<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160; reasonIfUnsupported,</div>
1850<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160; input0,</div>
1851<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160; input1,</div>
1852<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160; output);</div>
1853<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;}</div>
1854</div><!-- fragment -->
1855<p class="reference">References <a class="el" href="_cl_gather_nd_workload_8cpp_source.html#l00016">armnn::ClGatherNdWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1856
1857<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1858
1859</div>
1860</div>
1861<a id="adc7c2b1e2d768d4c1c50ccf31950800b"></a>
1862<h2 class="memtitle"><span class="permalink"><a href="#adc7c2b1e2d768d4c1c50ccf31950800b">&#9670;&nbsp;</a></span>IsGatherSupported()</h2>
1863
1864<div class="memitem">
1865<div class="memproto">
1866 <table class="memname">
1867 <tr>
1868 <td class="memname">bool IsGatherSupported </td>
1869 <td>(</td>
1870 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1871 <td class="paramname"><em>input0</em>, </td>
1872 </tr>
1873 <tr>
1874 <td class="paramkey"></td>
1875 <td></td>
1876 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1877 <td class="paramname"><em>input1</em>, </td>
1878 </tr>
1879 <tr>
1880 <td class="paramkey"></td>
1881 <td></td>
1882 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1883 <td class="paramname"><em>output</em>, </td>
1884 </tr>
1885 <tr>
1886 <td class="paramkey"></td>
1887 <td></td>
1888 <td class="paramtype">const <a class="el" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a> &amp;&#160;</td>
1889 <td class="paramname"><em>descriptor</em>, </td>
1890 </tr>
1891 <tr>
1892 <td class="paramkey"></td>
1893 <td></td>
1894 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1895 <td class="paramname"><em>reasonIfUnsupported</em>&#160;</td>
1896 </tr>
1897 <tr>
1898 <td></td>
1899 <td>)</td>
1900 <td></td><td> const</td>
1901 </tr>
1902 </table>
1903</div><div class="memdoc">
1904
1905<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01123">1123</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1906<div class="fragment"><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;{</div>
1907<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aff9e3b78a938c14a4420ce6365b997fb">ClGatherWorkloadValidate</a>,</div>
1908<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160; reasonIfUnsupported,</div>
1909<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160; input0,</div>
1910<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160; input1,</div>
1911<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160; output,</div>
1912<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160; descriptor);</div>
1913<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;}</div>
1914</div><!-- fragment -->
1915<p class="reference">References <a class="el" href="_cl_gather_workload_8cpp_source.html#l00015">armnn::ClGatherWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
1916
1917<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1918
1919</div>
1920</div>
1921<a id="a9546ae76bc4ba8a05f1c441be22ae546"></a>
1922<h2 class="memtitle"><span class="permalink"><a href="#a9546ae76bc4ba8a05f1c441be22ae546">&#9670;&nbsp;</a></span>IsInputSupported()</h2>
1923
1924<div class="memitem">
1925<div class="memproto">
1926 <table class="memname">
1927 <tr>
1928 <td class="memname">bool IsInputSupported </td>
1929 <td>(</td>
1930 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1931 <td class="paramname"><em>input</em>, </td>
1932 </tr>
1933 <tr>
1934 <td class="paramkey"></td>
1935 <td></td>
1936 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1937 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1938 </tr>
1939 <tr>
1940 <td></td>
1941 <td>)</td>
1942 <td></td><td> const</td>
1943 </tr>
1944 </table>
1945</div><div class="memdoc">
1946
1947<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01149">1149</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1948<div class="fragment"><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;{</div>
1949<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160; <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported, input);</div>
1950<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;}</div>
1951</div><!-- fragment -->
1952<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
1953
1954</div>
1955</div>
1956<a id="a96f76305323bd5f2c9f8e2850a327f95"></a>
1957<h2 class="memtitle"><span class="permalink"><a href="#a96f76305323bd5f2c9f8e2850a327f95">&#9670;&nbsp;</a></span>IsInstanceNormalizationSupported()</h2>
1958
1959<div class="memitem">
1960<div class="memproto">
1961 <table class="memname">
1962 <tr>
1963 <td class="memname">bool IsInstanceNormalizationSupported </td>
1964 <td>(</td>
1965 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1966 <td class="paramname"><em>input</em>, </td>
1967 </tr>
1968 <tr>
1969 <td class="paramkey"></td>
1970 <td></td>
1971 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
1972 <td class="paramname"><em>output</em>, </td>
1973 </tr>
1974 <tr>
1975 <td class="paramkey"></td>
1976 <td></td>
1977 <td class="paramtype">const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a> &amp;&#160;</td>
1978 <td class="paramname"><em>descriptor</em>, </td>
1979 </tr>
1980 <tr>
1981 <td class="paramkey"></td>
1982 <td></td>
1983 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
1984 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
1985 </tr>
1986 <tr>
1987 <td></td>
1988 <td>)</td>
1989 <td></td><td> const</td>
1990 </tr>
1991 </table>
1992</div><div class="memdoc">
1993
1994<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01155">1155</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
1995<div class="fragment"><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160;{</div>
1996<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a79d362f0c6e04d51807e0d81b5b05f3a">ClInstanceNormalizationWorkloadValidate</a>,</div>
1997<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160; reasonIfUnsupported,</div>
1998<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160; input,</div>
1999<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160; output,</div>
2000<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160; descriptor);</div>
2001<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160;}</div>
2002</div><!-- fragment -->
2003<p class="reference">References <a class="el" href="_cl_instance_normalization_workload_8cpp_source.html#l00018">armnn::ClInstanceNormalizationWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
2004
2005<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
2006
2007</div>
2008</div>
2009<a id="acc5b87bee8889258d7289f009e754d3d"></a>
2010<h2 class="memtitle"><span class="permalink"><a href="#acc5b87bee8889258d7289f009e754d3d">&#9670;&nbsp;</a></span>IsL2NormalizationSupported()</h2>
2011
2012<div class="memitem">
2013<div class="memproto">
2014 <table class="memname">
2015 <tr>
2016 <td class="memname">bool IsL2NormalizationSupported </td>
2017 <td>(</td>
2018 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2019 <td class="paramname"><em>input</em>, </td>
2020 </tr>
2021 <tr>
2022 <td class="paramkey"></td>
2023 <td></td>
2024 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2025 <td class="paramname"><em>output</em>, </td>
2026 </tr>
2027 <tr>
2028 <td class="paramkey"></td>
2029 <td></td>
2030 <td class="paramtype">const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a> &amp;&#160;</td>
2031 <td class="paramname"><em>descriptor</em>, </td>
2032 </tr>
2033 <tr>
2034 <td class="paramkey"></td>
2035 <td></td>
2036 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2037 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
2038 </tr>
2039 <tr>
2040 <td></td>
2041 <td>)</td>
2042 <td></td><td> const</td>
2043 </tr>
2044 </table>
2045</div><div class="memdoc">
2046
2047<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01167">1167</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
2048<div class="fragment"><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160;{</div>
2049<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aef334cdb24000c330f4d2e5f1b384784">ClL2NormalizationWorkloadValidate</a>,</div>
2050<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160; reasonIfUnsupported,</div>
2051<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160; input,</div>
2052<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160; output,</div>
2053<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160; descriptor);</div>
2054<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160;}</div>
2055</div><!-- fragment -->
2056<p class="reference">References <a class="el" href="_cl_l2_normalization_float_workload_8cpp_source.html#l00017">armnn::ClL2NormalizationWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
2057
2058<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
2059
2060</div>
2061</div>
2062<a id="a15dd64e49fe95a482dc93d3af8ac108c"></a>
2063<h2 class="memtitle"><span class="permalink"><a href="#a15dd64e49fe95a482dc93d3af8ac108c">&#9670;&nbsp;</a></span>IsLayerSupported()</h2>
2064
2065<div class="memitem">
2066<div class="memproto">
2067<table class="mlabels">
2068 <tr>
2069 <td class="mlabels-left">
2070 <table class="memname">
2071 <tr>
2072 <td class="memname">bool IsLayerSupported </td>
2073 <td>(</td>
2074 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> &amp;&#160;</td>
2075 <td class="paramname"><em>type</em>, </td>
2076 </tr>
2077 <tr>
2078 <td class="paramkey"></td>
2079 <td></td>
2080 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;&#160;</td>
2081 <td class="paramname"><em>infos</em>, </td>
2082 </tr>
2083 <tr>
2084 <td class="paramkey"></td>
2085 <td></td>
2086 <td class="paramtype">const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a> &amp;&#160;</td>
2087 <td class="paramname"><em>descriptor</em>, </td>
2088 </tr>
2089 <tr>
2090 <td class="paramkey"></td>
2091 <td></td>
2092 <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &gt; &amp;&#160;</td>
2093 <td class="paramname"><em>lstmParamsInfo</em>, </td>
2094 </tr>
2095 <tr>
2096 <td class="paramkey"></td>
2097 <td></td>
2098 <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> &gt; &amp;&#160;</td>
2099 <td class="paramname"><em>quantizedLstmParamsInfo</em>, </td>
2100 </tr>
2101 <tr>
2102 <td class="paramkey"></td>
2103 <td></td>
2104 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2105 <td class="paramname"><em>reasonIfUnsupported</em>&#160;</td>
2106 </tr>
2107 <tr>
2108 <td></td>
2109 <td>)</td>
2110 <td></td><td> const</td>
2111 </tr>
2112 </table>
2113 </td>
2114 <td class="mlabels-right">
2115<span class="mlabels"><span class="mlabel">virtual</span></span> </td>
2116 </tr>
2117</table>
2118</div><div class="memdoc">
2119
2120<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>
2121
2122<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer_support_base.html#a4da81c0c187071252d23c014db1c867d">LayerSupportBase</a>.</p>
2123
2124<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">189</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
2125<div class="fragment"><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;{</div>
2126<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordflow">switch</span> (type)</div>
2127<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; {</div>
2128<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div>
2129<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">IsActivationSupported</a>(infos[0],</div>
2130<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; infos[1],</div>
2131<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; *(PolymorphicDowncast&lt;const ActivationDescriptor*&gt;(&amp;descriptor)),</div>
2132<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; reasonIfUnsupported);</div>
2133<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div>
2134<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
2135<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e">IsAdditionSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div>
2136<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
2137<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>:</div>
2138<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">IsArgMinMaxSupported</a>(infos[0],</div>
2139<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; infos[1],</div>
2140<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; *(PolymorphicDowncast&lt;const ArgMinMaxDescriptor*&gt;(&amp;descriptor)),</div>
2141<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; reasonIfUnsupported);</div>
2142<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a>:</div>
2143<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">IsBatchMatMulSupported</a>(infos[0],</div>
2144<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; infos[1],</div>
2145<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; infos[2],</div>
2146<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; *(PolymorphicDowncast&lt;const BatchMatMulDescriptor*&gt;(&amp;descriptor)),</div>
2147<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; reasonIfUnsupported);</div>
2148<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>:</div>
2149<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aefe6105143396c8fd46f29266c63d948">IsBatchNormalizationSupported</a>(infos[0],</div>
2150<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; infos[1],</div>
2151<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; infos[2],</div>
2152<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; infos[3],</div>
2153<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; infos[4],</div>
2154<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; infos[5],</div>
2155<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; *(PolymorphicDowncast&lt;const BatchNormalizationDescriptor*&gt;</div>
2156<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; (&amp;descriptor)),</div>
2157<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; reasonIfUnsupported);</div>
2158<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>:</div>
2159<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">IsBatchToSpaceNdSupported</a>(infos[0],</div>
2160<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; infos[1],</div>
2161<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; *(PolymorphicDowncast&lt;const BatchToSpaceNdDescriptor*&gt;(&amp;descriptor)),</div>
2162<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; reasonIfUnsupported);</div>
2163<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>:</div>
2164<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133">IsCastSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2165<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a>:</div>
2166<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a">IsChannelShuffleSupported</a>(infos[0],</div>
2167<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; infos[1],</div>
2168<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; *(PolymorphicDowncast&lt;const ChannelShuffleDescriptor*&gt;(&amp;descriptor)),</div>
2169<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; reasonIfUnsupported);</div>
2170<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>:</div>
2171<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abdd824d4e7e43e8a8738955fe570ada0">IsComparisonSupported</a>(infos[0],</div>
2172<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; infos[1],</div>
2173<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; infos[2],</div>
2174<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; *(PolymorphicDowncast&lt;const ComparisonDescriptor*&gt;(&amp;descriptor)),</div>
2175<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; reasonIfUnsupported);</div>
2176<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>:</div>
2177<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; {</div>
2178<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; std::vector&lt;const TensorInfo*&gt; inputInfos;</div>
2179<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; (infos.size() - 1); i++)</div>
2180<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; {</div>
2181<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; inputInfos.push_back(&amp;infos[i]);</div>
2182<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; }</div>
2183<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">IsConcatSupported</a>(inputInfos,</div>
2184<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; infos[infos.size() - 1],</div>
2185<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; *(PolymorphicDowncast&lt;const OriginsDescriptor*&gt;(&amp;descriptor)),</div>
2186<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; reasonIfUnsupported);</div>
2187<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; }</div>
2188<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div>
2189<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a3741887d06449834eea19c00d1320f7c">IsConstantSupported</a>(infos[0], reasonIfUnsupported);</div>
2190<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div>
2191<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ab4684a5f416ac243a4519f54e683b535">IsConvertFp16ToFp32Supported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2192<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div>
2193<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a63cd5b66c276be0542571be736aaf7f5">IsConvertFp32ToFp16Supported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2194<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div>
2195<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; {</div>
2196<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
2197<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; {</div>
2198<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Invalid number of Convolution2d TensorInfos. &quot;</span></div>
2199<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
2200<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; }</div>
2201<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; </div>
2202<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const Convolution2dDescriptor*&gt;(&amp;descriptor));</div>
2203<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div>
2204<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; {</div>
2205<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a>(infos[0],</div>
2206<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; infos[1],</div>
2207<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; desc,</div>
2208<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; infos[2],</div>
2209<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; EmptyOptional(),</div>
2210<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; reasonIfUnsupported);</div>
2211<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; }</div>
2212<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">else</span></div>
2213<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; {</div>
2214<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a>(infos[0],</div>
2215<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; infos[1],</div>
2216<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; desc,</div>
2217<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; infos[2],</div>
2218<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; infos[3],</div>
2219<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; reasonIfUnsupported);</div>
2220<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; }</div>
2221<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; }</div>
2222<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>:</div>
2223<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; {</div>
2224<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
2225<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; {</div>
2226<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Invalid number of Convolution3d TensorInfos. &quot;</span></div>
2227<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
2228<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; }</div>
2229<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; </div>
2230<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const Convolution3dDescriptor*&gt;(&amp;descriptor));</div>
2231<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div>
2232<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; {</div>
2233<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a>(infos[0],</div>
2234<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; infos[1],</div>
2235<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; desc,</div>
2236<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; infos[2],</div>
2237<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; EmptyOptional(),</div>
2238<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; reasonIfUnsupported);</div>
2239<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; }</div>
2240<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <span class="keywordflow">else</span></div>
2241<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; {</div>
2242<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a>(infos[0],</div>
2243<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; infos[1],</div>
2244<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; desc,</div>
2245<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; infos[2],</div>
2246<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; infos[3],</div>
2247<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; reasonIfUnsupported);</div>
2248<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; }</div>
2249<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; }</div>
2250<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div>
2251<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">IsDepthToSpaceSupported</a>(infos[0],</div>
2252<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; infos[1],</div>
2253<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; *(PolymorphicDowncast&lt;const DepthToSpaceDescriptor*&gt;(&amp;descriptor)),</div>
2254<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; reasonIfUnsupported);</div>
2255<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</div>
2256<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; {</div>
2257<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
2258<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; {</div>
2259<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Invalid number of DepthwiseConvolution2d TensorInfos. &quot;</span></div>
2260<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
2261<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; }</div>
2262<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; </div>
2263<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const DepthwiseConvolution2dDescriptor*&gt;(&amp;descriptor));</div>
2264<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div>
2265<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; {</div>
2266<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a>(infos[0],</div>
2267<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; infos[1],</div>
2268<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; desc,</div>
2269<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; infos[2],</div>
2270<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; EmptyOptional(),</div>
2271<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; reasonIfUnsupported);</div>
2272<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; }</div>
2273<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <span class="keywordflow">else</span></div>
2274<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; {</div>
2275<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a>(infos[0],</div>
2276<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; infos[1],</div>
2277<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; desc,</div>
2278<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; infos[2],</div>
2279<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; infos[3],</div>
2280<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; reasonIfUnsupported);</div>
2281<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; }</div>
2282<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; }</div>
2283<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div>
2284<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02">IsDequantizeSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2285<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div>
2286<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
2287<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aac1281b0616904d20dc397cfc5984e8b">IsDivisionSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div>
2288<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
2289<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>:</div>
2290<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; {</div>
2291<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const ElementwiseBinaryDescriptor *&gt;(&amp;descriptor));</div>
2292<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; </div>
2293<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="keywordflow">switch</span> (desc.m_Operation)</div>
2294<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; {</div>
2295<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>:</div>
2296<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a24fc3e8e29d3fa56cc6b2d81e48625d1">ClAdditionValidate</a>,</div>
2297<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; reasonIfUnsupported,</div>
2298<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; infos[0],</div>
2299<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; infos[1],</div>
2300<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; infos[2],</div>
2301<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; <span class="keyword">nullptr</span>);</div>
2302<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>:</div>
2303<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">ClDivisionWorkloadValidate</a>,</div>
2304<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; reasonIfUnsupported,</div>
2305<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; infos[0],</div>
2306<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; infos[1],</div>
2307<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; infos[2],</div>
2308<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <span class="keyword">nullptr</span>);</div>
2309<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">BinaryOperation::Minimum</a>:</div>
2310<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a8c04c8e796a4fbec706df42ed9c27e4e">ClMinimumWorkloadValidate</a>,</div>
2311<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; reasonIfUnsupported,</div>
2312<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; infos[0],</div>
2313<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; infos[1],</div>
2314<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; infos[2]);</div>
2315<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">BinaryOperation::Maximum</a>:</div>
2316<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a553706c6338ffc52b0d916859f642587">ClMaximumWorkloadValidate</a>,</div>
2317<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; reasonIfUnsupported,</div>
2318<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; infos[0],</div>
2319<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; infos[1],</div>
2320<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; infos[2]);</div>
2321<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>:</div>
2322<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">ClMultiplicationWorkloadValidate</a>,</div>
2323<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; reasonIfUnsupported,</div>
2324<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; infos[0],</div>
2325<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; infos[1],</div>
2326<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; infos[2],</div>
2327<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; <span class="keyword">nullptr</span>);</div>
2328<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">BinaryOperation::Power</a>:</div>
2329<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">BinaryOperation::SqDiff</a>:</div>
2330<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a374539d87fe79db6ab505524a0830d1f">ClElementwiseBinaryValidate</a>,</div>
2331<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; reasonIfUnsupported,</div>
2332<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; infos[0],</div>
2333<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; infos[1],</div>
2334<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; infos[2],</div>
2335<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; desc,</div>
2336<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; <span class="keyword">nullptr</span>);</div>
2337<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>:</div>
2338<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">ClSubtractionValidate</a>,</div>
2339<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; reasonIfUnsupported,</div>
2340<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; infos[0],</div>
2341<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; infos[1],</div>
2342<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; infos[2],</div>
2343<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="keyword">nullptr</span>);</div>
2344<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <span class="keywordflow">default</span>:</div>
2345<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
2346<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; }</div>
2347<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; }</div>
2348<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>:</div>
2349<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">IsElementwiseUnarySupported</a>(infos[0],</div>
2350<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; infos[1],</div>
2351<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; *(PolymorphicDowncast&lt;const ElementwiseUnaryDescriptor*&gt;(&amp;descriptor)),</div>
2352<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; reasonIfUnsupported);</div>
2353<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a>:</div>
2354<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad557f8fa58e751c93cf271691834ca52">IsFillSupported</a>(infos[0],</div>
2355<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; infos[1],</div>
2356<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; *(PolymorphicDowncast&lt;const FillDescriptor*&gt;(&amp;descriptor)),</div>
2357<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; reasonIfUnsupported);</div>
2358<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div>
2359<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aca92095e6a26d7f451042795afabea5b">IsFloorSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2360<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div>
2361<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a6bb173cc16cd16909254787311c19995">IsFullyConnectedSupported</a>(infos[0],</div>
2362<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; infos[1],</div>
2363<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; infos[2],</div>
2364<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; infos[3],</div>
2365<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; *(PolymorphicDowncast&lt;const FullyConnectedDescriptor*&gt;(&amp;descriptor)),</div>
2366<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; reasonIfUnsupported);</div>
2367<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div>
2368<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#adc7c2b1e2d768d4c1c50ccf31950800b">IsGatherSupported</a>(infos[0],</div>
2369<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; infos[1],</div>
2370<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; infos[2],</div>
2371<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; *(PolymorphicDowncast&lt;const GatherDescriptor*&gt;(&amp;descriptor)),</div>
2372<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; reasonIfUnsupported);</div>
2373<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">LayerType::GatherNd</a>:</div>
2374<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad0bca4c0de78df48fd6e63a3b8239f57">IsGatherNdSupported</a>(infos[0],</div>
2375<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; infos[1],</div>
2376<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; infos[2],</div>
2377<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; reasonIfUnsupported);</div>
2378<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div>
2379<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546">IsInputSupported</a>(infos[0], reasonIfUnsupported);</div>
2380<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div>
2381<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95">IsInstanceNormalizationSupported</a>(infos[0],</div>
2382<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; infos[1],</div>
2383<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; *(PolymorphicDowncast&lt;const InstanceNormalizationDescriptor*&gt;</div>
2384<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; (&amp;descriptor)),</div>
2385<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; reasonIfUnsupported);</div>
2386<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div>
2387<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#acc5b87bee8889258d7289f009e754d3d">IsL2NormalizationSupported</a>(infos[0],</div>
2388<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; infos[1],</div>
2389<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; *(PolymorphicDowncast&lt;const L2NormalizationDescriptor*&gt;(&amp;descriptor)),</div>
2390<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; reasonIfUnsupported);</div>
2391<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a>:</div>
2392<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">IsLogicalBinarySupported</a>(infos[0],</div>
2393<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; infos[1],</div>
2394<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; infos[2],</div>
2395<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; *(PolymorphicDowncast&lt;const LogicalBinaryDescriptor*&gt;(&amp;descriptor)),</div>
2396<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; reasonIfUnsupported);</div>
2397<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>:</div>
2398<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#afd5766278ef389508c9af49f3e810988">IsLogSoftmaxSupported</a>(infos[0],</div>
2399<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; infos[1],</div>
2400<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; *(PolymorphicDowncast&lt;const LogSoftmaxDescriptor*&gt;(&amp;descriptor)),</div>
2401<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; reasonIfUnsupported);</div>
2402<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div>
2403<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">IsLstmSupported</a>(infos[0],</div>
2404<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; infos[1],</div>
2405<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; infos[2],</div>
2406<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; infos[3],</div>
2407<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; infos[4],</div>
2408<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; infos[5],</div>
2409<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; infos[6],</div>
2410<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; *(PolymorphicDowncast&lt;const LstmDescriptor*&gt;(&amp;descriptor)),</div>
2411<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; lstmParamsInfo.value(),</div>
2412<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; reasonIfUnsupported);</div>
2413<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">LayerType::Map</a>:</div>
2414<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
2415<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div>
2416<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.html#a76fea9e8e52d879f59b268b060635145">LayerSupportBase::IsMemCopySupported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2417<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div>
2418<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.html#a081cfb99e9e5b240f8b151f0a7090431">LayerSupportBase::IsMemImportSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2419<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>:</div>
2420<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.html#a21fd6e1714d62eb57f7e31e3ccaaa152">LayerSupportBase::IsMergeSupported</a>(infos[0],</div>
2421<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; infos[1],</div>
2422<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; infos[2],</div>
2423<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; reasonIfUnsupported);</div>
2424<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div>
2425<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
2426<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a3a8e66320bb329f751e0f08fa970cd61">IsMaximumSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div>
2427<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
2428<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div>
2429<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a007299b48d001bbdaefe525566b21c8e">IsMeanSupported</a>(infos[0],</div>
2430<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; infos[1],</div>
2431<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; *(PolymorphicDowncast&lt;const MeanDescriptor*&gt;(&amp;descriptor)),</div>
2432<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; reasonIfUnsupported);</div>
2433<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div>
2434<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
2435<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">IsMinimumSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div>
2436<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
2437<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div>
2438<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
2439<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b">IsMultiplicationSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div>
2440<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
2441<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div>
2442<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">IsNormalizationSupported</a>(infos[0],</div>
2443<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; infos[1],</div>
2444<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; *(PolymorphicDowncast&lt;const NormalizationDescriptor*&gt;(&amp;descriptor)),</div>
2445<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; reasonIfUnsupported);</div>
2446<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div>
2447<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6">IsOutputSupported</a>(infos[0], reasonIfUnsupported);</div>
2448<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div>
2449<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8">IsPadSupported</a>(infos[0],</div>
2450<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; infos[1],</div>
2451<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; *(PolymorphicDowncast&lt;const PadDescriptor*&gt;(&amp;descriptor)),</div>
2452<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; reasonIfUnsupported);</div>
2453<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div>
2454<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a5d06aa3102f630eeff127195693810e8">IsPermuteSupported</a>(infos[0],</div>
2455<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; infos[1],</div>
2456<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; *(PolymorphicDowncast&lt;const PermuteDescriptor*&gt;(&amp;descriptor)),</div>
2457<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; reasonIfUnsupported);</div>
2458<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div>
2459<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">IsPooling2dSupported</a>(infos[0],</div>
2460<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; infos[1],</div>
2461<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; *(PolymorphicDowncast&lt;const Pooling2dDescriptor*&gt;(&amp;descriptor)),</div>
2462<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; reasonIfUnsupported);</div>
2463<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a>:</div>
2464<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">IsPooling3dSupported</a>(infos[0],</div>
2465<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; infos[1],</div>
2466<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; *(PolymorphicDowncast&lt;const Pooling3dDescriptor*&gt;(&amp;descriptor)),</div>
2467<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; reasonIfUnsupported);</div>
2468<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div>
2469<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370">IsPreluSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div>
2470<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>:</div>
2471<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe">IsQLstmSupported</a>(infos[0],</div>
2472<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; infos[1],</div>
2473<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; infos[2],</div>
2474<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; infos[3],</div>
2475<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; infos[4],</div>
2476<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; infos[5],</div>
2477<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; *(PolymorphicDowncast&lt;const QLstmDescriptor*&gt;(&amp;descriptor)),</div>
2478<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; lstmParamsInfo.value(),</div>
2479<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; reasonIfUnsupported);</div>
2480<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div>
2481<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a7c739d08cf4fe3f9adef635be0544362">IsQuantizeSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
2482<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>:</div>
2483<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aad6eabce66fdae7c3389450e9dc75df9">IsQuantizedLstmSupported</a>(infos[0],</div>
2484<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; infos[1],</div>
2485<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; infos[2],</div>
2486<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; infos[3],</div>
2487<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; infos[4],</div>
2488<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; quantizedLstmParamsInfo.value(),</div>
2489<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; reasonIfUnsupported);</div>
2490<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a>:</div>
2491<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
2492<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>:</div>
2493<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">IsReduceSupported</a>(infos[0],</div>
2494<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; infos[1],</div>
2495<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; *(PolymorphicDowncast&lt;const ReduceDescriptor*&gt;(&amp;descriptor)),</div>
2496<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; reasonIfUnsupported);</div>
2497<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div>
2498<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">IsReshapeSupported</a>(infos[0],</div>
2499<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; infos[1],</div>
2500<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; *(PolymorphicDowncast&lt;const ReshapeDescriptor*&gt;(&amp;descriptor)),</div>
2501<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; reasonIfUnsupported);</div>
2502<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div>
2503<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">IsResizeSupported</a>(infos[0],</div>
2504<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; infos[1],</div>
2505<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; *(PolymorphicDowncast&lt;const ResizeDescriptor*&gt;(&amp;descriptor)),</div>
2506<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; reasonIfUnsupported);</div>
2507<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">LayerType::ReverseV2</a>:</div>
2508<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ade477ece5a23f14601f73127ba6b9f90">IsReverseV2Supported</a>(infos[0],</div>
2509<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; infos[1],</div>
2510<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; infos[2],</div>
2511<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; reasonIfUnsupported);</div>
2512<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b">LayerType::ScatterNd</a>:</div>
2513<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ac41e0c07587d6a3da9349b0e49c4643d">IsScatterNdSupported</a>(infos[0], <span class="comment">// input/shape</span></div>
2514<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; infos[1], <span class="comment">// indices</span></div>
2515<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; infos[2], <span class="comment">// updates</span></div>
2516<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; infos[3], <span class="comment">// output</span></div>
2517<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; *(PolymorphicDowncast&lt;const ScatterNdDescriptor*&gt;(&amp;descriptor)),</div>
2518<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; reasonIfUnsupported);</div>
2519<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">LayerType::Shape</a>:</div>
2520<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.html#a4b423d2cd51bbfb363141d823cecf943">LayerSupportBase::IsShapeSupported</a>(infos[0],</div>
2521<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; infos[1],</div>
2522<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; reasonIfUnsupported);</div>
2523<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div>
2524<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">IsSliceSupported</a>(infos[0],</div>
2525<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; infos[1],</div>
2526<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; *(PolymorphicDowncast&lt;const SliceDescriptor*&gt;(&amp;descriptor)),</div>
2527<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; reasonIfUnsupported);</div>
2528<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div>
2529<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abc2d31208c6bcced31369b024eee3b65">IsSoftmaxSupported</a>(infos[0],</div>
2530<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; infos[1],</div>
2531<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; *(PolymorphicDowncast&lt;const SoftmaxDescriptor*&gt;(&amp;descriptor)),</div>
2532<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; reasonIfUnsupported);</div>
2533<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div>
2534<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">IsSpaceToBatchNdSupported</a>(infos[0],</div>
2535<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; infos[1],</div>
2536<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; *(PolymorphicDowncast&lt;const SpaceToBatchNdDescriptor*&gt;(&amp;descriptor)),</div>
2537<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; reasonIfUnsupported);</div>
2538<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div>
2539<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abd0c6ea3807227b94374ff321a47284d">IsSpaceToDepthSupported</a>(infos[0],</div>
2540<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; infos[1],</div>
2541<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; *(PolymorphicDowncast&lt;const SpaceToDepthDescriptor*&gt;(&amp;descriptor)),</div>
2542<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; reasonIfUnsupported);</div>
2543<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div>
2544<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; {</div>
2545<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; std::vector&lt;TensorInfo&gt; outputInfos;</div>
2546<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 1; i &lt; infos.size(); i++)</div>
2547<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; {</div>
2548<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; outputInfos.push_back(infos[i]);</div>
2549<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; }</div>
2550<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">IsSplitterSupported</a>(infos[0],</div>
2551<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; {outputInfos.begin(), outputInfos.end()},</div>
2552<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; *(PolymorphicDowncast&lt;const ViewsDescriptor*&gt;(&amp;descriptor)),</div>
2553<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; reasonIfUnsupported);</div>
2554<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; }</div>
2555<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div>
2556<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; {</div>
2557<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160; std::vector&lt;const TensorInfo*&gt; inputInfos;</div>
2558<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; infos.size() - 1; i++)</div>
2559<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; {</div>
2560<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; inputInfos.push_back(&amp;infos[i]);</div>
2561<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; }</div>
2562<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">IsStackSupported</a>(inputInfos,</div>
2563<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; infos[infos.size() - 1],</div>
2564<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; *(PolymorphicDowncast&lt;const StackDescriptor*&gt;(&amp;descriptor)),</div>
2565<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; reasonIfUnsupported);</div>
2566<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; }</div>
2567<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div>
2568<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">IsStridedSliceSupported</a>(infos[0],</div>
2569<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; infos[1],</div>
2570<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160; *(PolymorphicDowncast&lt;const StridedSliceDescriptor*&gt;(&amp;descriptor)),</div>
2571<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160; reasonIfUnsupported);</div>
2572<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div>
2573<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
2574<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c">IsSubtractionSupported</a>(infos[0], infos[1], infos[2], reasonIfUnsupported);</div>
2575<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
2576<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">LayerType::Tile</a>:</div>
2577<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a27b8700a838b8018acb22cf38570b997">IsTileSupported</a>(infos[0],</div>
2578<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; infos[1],</div>
2579<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; *(PolymorphicDowncast&lt;const TileDescriptor*&gt;(&amp;descriptor)),</div>
2580<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; reasonIfUnsupported);</div>
2581<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div>
2582<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">IsTransposeSupported</a>(infos[0],</div>
2583<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; infos[1],</div>
2584<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; *(PolymorphicDowncast&lt;const TransposeDescriptor*&gt;(&amp;descriptor)),</div>
2585<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; reasonIfUnsupported);</div>
2586<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div>
2587<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; {</div>
2588<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
2589<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; {</div>
2590<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Invalid number of TransposeConvolution2d TensorInfos. &quot;</span></div>
2591<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
2592<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; }</div>
2593<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; </div>
2594<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const TransposeConvolution2dDescriptor*&gt;(&amp;descriptor));</div>
2595<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div>
2596<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; {</div>
2597<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">IsTransposeConvolution2dSupported</a>(infos[0],</div>
2598<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160; infos[1],</div>
2599<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; desc,</div>
2600<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160; infos[2],</div>
2601<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160; EmptyOptional(),</div>
2602<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160; reasonIfUnsupported);</div>
2603<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; }</div>
2604<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; <span class="keywordflow">else</span></div>
2605<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; {</div>
2606<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">IsTransposeConvolution2dSupported</a>(infos[0],</div>
2607<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160; infos[1],</div>
2608<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; desc,</div>
2609<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; infos[2],</div>
2610<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; infos[3],</div>
2611<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160; reasonIfUnsupported);</div>
2612<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; }</div>
2613<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160; }</div>
2614<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>:</div>
2615<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a8bf8e20faa2d906c0c84fc7b88bad67a">IsUnidirectionalSequenceLstmSupported</a>(infos[0],</div>
2616<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; infos[1],</div>
2617<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; infos[2],</div>
2618<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; infos[3],</div>
2619<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; infos[4],</div>
2620<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; infos[5],</div>
2621<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; *(<a class="code" href="namespacearmnn.html#aa4e89c644c511e255f6a7ecbd5d14686">PolymorphicDowncast</a>&lt;<span class="keyword">const</span></div>
2622<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; <a class="code" href="namespacearmnn.html#ae6c5f1b51bd32133c4dcc632045d6b58">UnidirectionalSequenceLstmDescriptor</a>*&gt;(&amp;descriptor)),</div>
2623<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; lstmParamsInfo.value(),</div>
2624<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; reasonIfUnsupported);</div>
2625<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">LayerType::Unmap</a>:</div>
2626<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
2627<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; <span class="keywordflow">default</span>:</div>
2628<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; <span class="comment">// layers not supported in cl by default:</span></div>
2629<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; <span class="comment">// debug, detectionpostprocess, fakequantization,</span></div>
2630<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; <span class="comment">// precompiled, standin, switch, pooling3d, fused</span></div>
2631<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
2632<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; }</div>
2633<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160;}</div>
2634</div><!-- fragment -->
2635<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::Add</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::ArgMinMax</a>, <a class="el" href="_deprecated_8hpp_source.html#l00033">ARMNN_NO_DEPRECATE_WARN_BEGIN</a>, <a class="el" href="_deprecated_8hpp_source.html#l00034">ARMNN_NO_DEPRECATE_WARN_END</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::BatchMatMul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::BatchToSpaceNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::Cast</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::ChannelShuffle</a>, <a class="el" href="_cl_addition_workload_8cpp_source.html#l00045">armnn::ClAdditionValidate()</a>, <a class="el" href="_cl_division_workload_8cpp_source.html#l00018">armnn::ClDivisionWorkloadValidate()</a>, <a class="el" href="_cl_elementwise_binary_workload_8cpp_source.html#l00064">armnn::ClElementwiseBinaryValidate()</a>, <a class="el" href="_cl_maximum_workload_8cpp_source.html#l00024">armnn::ClMaximumWorkloadValidate()</a>, <a class="el" href="_cl_minimum_workload_8cpp_source.html#l00024">armnn::ClMinimumWorkloadValidate()</a>, <a class="el" href="_cl_multiplication_workload_8cpp_source.html#l00018">armnn::ClMultiplicationWorkloadValidate()</a>, <a class="el" href="_cl_subtraction_workload_8cpp_source.html#l00046">armnn::ClSubtractionValidate()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::Comparison</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::Concat</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::ConvertFp16ToFp32</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::ConvertFp32ToFp16</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::Convolution3d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::DepthToSpace</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::Dequantize</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::Div</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::ElementwiseBinary</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::ElementwiseUnary</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::Fill</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::Floor</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::Gather</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::GatherNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::InstanceNormalization</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00705">ClLayerSupport::IsActivationSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00717">ClLayerSupport::IsAdditionSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00730">ClLayerSupport::IsArgMinMaxSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00743">ClLayerSupport::IsBatchMatMulSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00758">ClLayerSupport::IsBatchNormalizationSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00779">ClLayerSupport::IsBatchToSpaceNdSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00791">ClLayerSupport::IsCastSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00801">ClLayerSupport::IsChannelShuffleSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00813">ClLayerSupport::IsComparisonSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00827">ClLayerSupport::IsConcatSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00868">ClLayerSupport::IsConstantSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00876">ClLayerSupport::IsConvertFp16ToFp32Supported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00886">ClLayerSupport::IsConvertFp32ToFp16Supported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00896">ClLayerSupport::IsConvolution2dSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00929">ClLayerSupport::IsConvolution3dSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00972">ClLayerSupport::IsDepthToSpaceSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00984">ClLayerSupport::IsDepthwiseConvolutionSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00962">ClLayerSupport::IsDequantizeSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01019">ClLayerSupport::IsDivisionSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01032">ClLayerSupport::IsElementwiseUnarySupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01084">ClLayerSupport::IsFillSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01096">ClLayerSupport::IsFloorSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01106">ClLayerSupport::IsFullyConnectedSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01137">ClLayerSupport::IsGatherNdSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01123">ClLayerSupport::IsGatherSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01149">ClLayerSupport::IsInputSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01155">ClLayerSupport::IsInstanceNormalizationSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01167">ClLayerSupport::IsL2NormalizationSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01179">ClLayerSupport::IsLogicalBinarySupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01207">ClLayerSupport::IsLogSoftmaxSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01219">ClLayerSupport::IsLstmSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01243">ClLayerSupport::IsMaximumSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01255">ClLayerSupport::IsMeanSupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.html#l00098">LayerSupportBase::IsMemCopySupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.html#l00105">LayerSupportBase::IsMemImportSupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.html#l00112">LayerSupportBase::IsMergeSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01267">ClLayerSupport::IsMinimumSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01279">ClLayerSupport::IsMultiplicationSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01292">ClLayerSupport::IsNormalizationSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01300">ClLayerSupport::IsOutputSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01306">ClLayerSupport::IsPadSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01318">ClLayerSupport::IsPermuteSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01326">ClLayerSupport::IsPooling2dSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01334">ClLayerSupport::IsPooling3dSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01342">ClLayerSupport::IsPreluSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01350">ClLayerSupport::IsQLstmSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01384">ClLayerSupport::IsQuantizedLstmSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01402">ClLayerSupport::IsQuantizeSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01412">ClLayerSupport::IsReduceSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01424">ClLayerSupport::IsReshapeSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01433">ClLayerSupport::IsResizeSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01441">ClLayerSupport::IsReverseV2Supported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01453">ClLayerSupport::IsScatterNdSupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.html#l00131">LayerSupportBase::IsShapeSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01469">ClLayerSupport::IsSliceSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01477">ClLayerSupport::IsSoftmaxSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01485">ClLayerSupport::IsSpaceToBatchNdSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01497">ClLayerSupport::IsSpaceToDepthSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01509">ClLayerSupport::IsSplitterSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01542">ClLayerSupport::IsStackSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01554">ClLayerSupport::IsStridedSliceSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01566">ClLayerSupport::IsSubtractionSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01579">ClLayerSupport::IsTileSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01591">ClLayerSupport::IsTransposeConvolution2dSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01607">ClLayerSupport::IsTransposeSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l01615">ClLayerSupport::IsUnidirectionalSequenceLstmSupported()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::L2Normalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LogicalBinary</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LogSoftmax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::Lstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::Map</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::Maximum</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::Mean</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::Merge</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::Mul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::Normalization</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::Permute</a>, <a class="el" href="_polymorphic_downcast_8hpp_source.html#l00074">armnn::PolymorphicDowncast()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::Pooling3d</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">armnn::Power</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::Prelu</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::Quantize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::Rank</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::Resize</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::ReverseV2</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b">armnn::ScatterNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::Shape</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::Slice</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::SpaceToBatchNd</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::SpaceToDepth</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::Splitter</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">armnn::SqDiff</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::Stack</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::StridedSlice</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::Sub</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::Tile</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::Transpose</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::TransposeConvolution2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::UnidirectionalSequenceLstm</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::Unmap</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch&lt; std::is_reference&lt; T &gt;::value, T &gt;::value()</a>.</p>
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2638</div>
2639<a id="a83f61b022e9544d0c1f5110cd28ae502"></a>
2640<h2 class="memtitle"><span class="permalink"><a href="#a83f61b022e9544d0c1f5110cd28ae502">&#9670;&nbsp;</a></span>IsLogicalBinarySupported()</h2>
2641
2642<div class="memitem">
2643<div class="memproto">
2644 <table class="memname">
2645 <tr>
2646 <td class="memname">bool IsLogicalBinarySupported </td>
2647 <td>(</td>
2648 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2649 <td class="paramname"><em>input0</em>, </td>
2650 </tr>
2651 <tr>
2652 <td class="paramkey"></td>
2653 <td></td>
2654 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2655 <td class="paramname"><em>input1</em>, </td>
2656 </tr>
2657 <tr>
2658 <td class="paramkey"></td>
2659 <td></td>
2660 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2661 <td class="paramname"><em>output</em>, </td>
2662 </tr>
2663 <tr>
2664 <td class="paramkey"></td>
2665 <td></td>
2666 <td class="paramtype">const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a> &amp;&#160;</td>
2667 <td class="paramname"><em>descriptor</em>, </td>
2668 </tr>
2669 <tr>
2670 <td class="paramkey"></td>
2671 <td></td>
2672 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2673 <td class="paramname"><em>reasonIfUnsupported</em>&#160;</td>
2674 </tr>
2675 <tr>
2676 <td></td>
2677 <td>)</td>
2678 <td></td><td> const</td>
2679 </tr>
2680 </table>
2681</div><div class="memdoc">
2682
2683<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01179">1179</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
2684<div class="fragment"><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160;{</div>
2685<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div>
2686<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160; </div>
2687<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160; <span class="keywordflow">switch</span>(descriptor.m_Operation)</div>
2688<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160; {</div>
2689<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">LogicalBinaryOperation::LogicalAnd</a>:</div>
2690<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a7900acef495ac8033a08d3ed74f06970">ClLogicalAndWorkloadValidate</a>,</div>
2691<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160; reasonIfUnsupported,</div>
2692<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160; input0,</div>
2693<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160; input1,</div>
2694<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160; output);</div>
2695<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">LogicalBinaryOperation::LogicalOr</a>:</div>
2696<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a89391e63f7a679b023e6bd1798186db6">ClLogicalOrWorkloadValidate</a>,</div>
2697<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160; reasonIfUnsupported,</div>
2698<div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>&#160; input0,</div>
2699<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160; input1,</div>
2700<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>&#160; output);</div>
2701<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160; <span class="keywordflow">default</span>:</div>
2702<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
2703<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>&#160; }</div>
2704<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160;}</div>
2705</div><!-- fragment -->
2706<p class="reference">References <a class="el" href="_cl_logical_and_workload_8cpp_source.html#l00020">armnn::ClLogicalAndWorkloadValidate()</a>, <a class="el" href="_cl_logical_or_workload_8cpp_source.html#l00020">armnn::ClLogicalOrWorkloadValidate()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalAnd</a>, <a class="el" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalOr</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01534">LogicalBinaryDescriptor::m_Operation</a>.</p>
2707
2708<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
2709
2710</div>
2711</div>
2712<a id="afd5766278ef389508c9af49f3e810988"></a>
2713<h2 class="memtitle"><span class="permalink"><a href="#afd5766278ef389508c9af49f3e810988">&#9670;&nbsp;</a></span>IsLogSoftmaxSupported()</h2>
2714
2715<div class="memitem">
2716<div class="memproto">
2717 <table class="memname">
2718 <tr>
2719 <td class="memname">bool IsLogSoftmaxSupported </td>
2720 <td>(</td>
2721 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2722 <td class="paramname"><em>input</em>, </td>
2723 </tr>
2724 <tr>
2725 <td class="paramkey"></td>
2726 <td></td>
2727 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2728 <td class="paramname"><em>output</em>, </td>
2729 </tr>
2730 <tr>
2731 <td class="paramkey"></td>
2732 <td></td>
2733 <td class="paramtype">const <a class="el" href="namespacearmnn.html#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &amp;&#160;</td>
2734 <td class="paramname"><em>descriptor</em>, </td>
2735 </tr>
2736 <tr>
2737 <td class="paramkey"></td>
2738 <td></td>
2739 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2740 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
2741 </tr>
2742 <tr>
2743 <td></td>
2744 <td>)</td>
2745 <td></td><td> const</td>
2746 </tr>
2747 </table>
2748</div><div class="memdoc">
2749
2750<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01207">1207</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
2751<div class="fragment"><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>&#160;{</div>
2752<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a7071f5d6693d3014ddcb34c886ffc734">ClLogSoftmaxWorkloadValidate</a>,</div>
2753<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160; reasonIfUnsupported,</div>
2754<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160; input,</div>
2755<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160; output,</div>
2756<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160; descriptor);</div>
2757<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>&#160;}</div>
2758</div><!-- fragment -->
2759<p class="reference">References <a class="el" href="_cl_log_softmax_workload_8cpp_source.html#l00017">armnn::ClLogSoftmaxWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
2760
2761<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
2762
2763</div>
2764</div>
2765<a id="ad5adeb0c9d1cf403d5cd2eadf4585155"></a>
2766<h2 class="memtitle"><span class="permalink"><a href="#ad5adeb0c9d1cf403d5cd2eadf4585155">&#9670;&nbsp;</a></span>IsLstmSupported()</h2>
2767
2768<div class="memitem">
2769<div class="memproto">
2770 <table class="memname">
2771 <tr>
2772 <td class="memname">bool IsLstmSupported </td>
2773 <td>(</td>
2774 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2775 <td class="paramname"><em>input</em>, </td>
2776 </tr>
2777 <tr>
2778 <td class="paramkey"></td>
2779 <td></td>
2780 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2781 <td class="paramname"><em>outputStateIn</em>, </td>
2782 </tr>
2783 <tr>
2784 <td class="paramkey"></td>
2785 <td></td>
2786 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2787 <td class="paramname"><em>cellStateIn</em>, </td>
2788 </tr>
2789 <tr>
2790 <td class="paramkey"></td>
2791 <td></td>
2792 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2793 <td class="paramname"><em>scratchBuffer</em>, </td>
2794 </tr>
2795 <tr>
2796 <td class="paramkey"></td>
2797 <td></td>
2798 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2799 <td class="paramname"><em>outputStateOut</em>, </td>
2800 </tr>
2801 <tr>
2802 <td class="paramkey"></td>
2803 <td></td>
2804 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2805 <td class="paramname"><em>cellStateOut</em>, </td>
2806 </tr>
2807 <tr>
2808 <td class="paramkey"></td>
2809 <td></td>
2810 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2811 <td class="paramname"><em>output</em>, </td>
2812 </tr>
2813 <tr>
2814 <td class="paramkey"></td>
2815 <td></td>
2816 <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a> &amp;&#160;</td>
2817 <td class="paramname"><em>descriptor</em>, </td>
2818 </tr>
2819 <tr>
2820 <td class="paramkey"></td>
2821 <td></td>
2822 <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &amp;&#160;</td>
2823 <td class="paramname"><em>paramsInfo</em>, </td>
2824 </tr>
2825 <tr>
2826 <td class="paramkey"></td>
2827 <td></td>
2828 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2829 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
2830 </tr>
2831 <tr>
2832 <td></td>
2833 <td>)</td>
2834 <td></td><td> const</td>
2835 </tr>
2836 </table>
2837</div><div class="memdoc">
2838
2839<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01219">1219</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
2840<div class="fragment"><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160;{</div>
2841<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a90ab88fe4c7aa9466c4653404a6b2213">ClLstmFloatWorkloadValidate</a>,</div>
2842<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160; reasonIfUnsupported,</div>
2843<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160; input,</div>
2844<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160; outputStateIn,</div>
2845<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160; cellStateIn,</div>
2846<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160; scratchBuffer,</div>
2847<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160; outputStateOut,</div>
2848<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160; cellStateOut,</div>
2849<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160; output,</div>
2850<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160; descriptor,</div>
2851<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160; paramsInfo);</div>
2852<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160;}</div>
2853</div><!-- fragment -->
2854<p class="reference">References <a class="el" href="_cl_lstm_float_workload_8cpp_source.html#l00244">armnn::ClLstmFloatWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
2855
2856<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
2857
2858</div>
2859</div>
2860<a id="a3a8e66320bb329f751e0f08fa970cd61"></a>
2861<h2 class="memtitle"><span class="permalink"><a href="#a3a8e66320bb329f751e0f08fa970cd61">&#9670;&nbsp;</a></span>IsMaximumSupported()</h2>
2862
2863<div class="memitem">
2864<div class="memproto">
2865 <table class="memname">
2866 <tr>
2867 <td class="memname">bool IsMaximumSupported </td>
2868 <td>(</td>
2869 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2870 <td class="paramname"><em>input0</em>, </td>
2871 </tr>
2872 <tr>
2873 <td class="paramkey"></td>
2874 <td></td>
2875 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2876 <td class="paramname"><em>input1</em>, </td>
2877 </tr>
2878 <tr>
2879 <td class="paramkey"></td>
2880 <td></td>
2881 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2882 <td class="paramname"><em>output</em>, </td>
2883 </tr>
2884 <tr>
2885 <td class="paramkey"></td>
2886 <td></td>
2887 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2888 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
2889 </tr>
2890 <tr>
2891 <td></td>
2892 <td>)</td>
2893 <td></td><td> const</td>
2894 </tr>
2895 </table>
2896</div><div class="memdoc">
2897
2898<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01243">1243</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
2899<div class="fragment"><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160;{</div>
2900<div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a553706c6338ffc52b0d916859f642587">ClMaximumWorkloadValidate</a>,</div>
2901<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160; reasonIfUnsupported,</div>
2902<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160; input0,</div>
2903<div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>&#160; input1,</div>
2904<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160; output);</div>
2905<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160;}</div>
2906</div><!-- fragment -->
2907<p class="reference">References <a class="el" href="_cl_maximum_workload_8cpp_source.html#l00024">armnn::ClMaximumWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
2908
2909<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
2910
2911</div>
2912</div>
2913<a id="a007299b48d001bbdaefe525566b21c8e"></a>
2914<h2 class="memtitle"><span class="permalink"><a href="#a007299b48d001bbdaefe525566b21c8e">&#9670;&nbsp;</a></span>IsMeanSupported()</h2>
2915
2916<div class="memitem">
2917<div class="memproto">
2918 <table class="memname">
2919 <tr>
2920 <td class="memname">bool IsMeanSupported </td>
2921 <td>(</td>
2922 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2923 <td class="paramname"><em>input</em>, </td>
2924 </tr>
2925 <tr>
2926 <td class="paramkey"></td>
2927 <td></td>
2928 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2929 <td class="paramname"><em>output</em>, </td>
2930 </tr>
2931 <tr>
2932 <td class="paramkey"></td>
2933 <td></td>
2934 <td class="paramtype">const <a class="el" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a> &amp;&#160;</td>
2935 <td class="paramname"><em>descriptor</em>, </td>
2936 </tr>
2937 <tr>
2938 <td class="paramkey"></td>
2939 <td></td>
2940 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2941 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
2942 </tr>
2943 <tr>
2944 <td></td>
2945 <td>)</td>
2946 <td></td><td> const</td>
2947 </tr>
2948 </table>
2949</div><div class="memdoc">
2950
2951<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01255">1255</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
2952<div class="fragment"><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160;{</div>
2953<div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a048a8ea8b1b39343a73ca7458024ea54">ClMeanValidate</a>,</div>
2954<div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160; reasonIfUnsupported,</div>
2955<div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160; input,</div>
2956<div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160; output,</div>
2957<div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160; descriptor);</div>
2958<div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160;}</div>
2959</div><!-- fragment -->
2960<p class="reference">References <a class="el" href="_cl_mean_workload_8cpp_source.html#l00017">armnn::ClMeanValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
2961
2962<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
2963
2964</div>
2965</div>
2966<a id="a68ddd3634fa7ce3a1eea8d7cc5adc9f0"></a>
2967<h2 class="memtitle"><span class="permalink"><a href="#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">&#9670;&nbsp;</a></span>IsMinimumSupported()</h2>
2968
2969<div class="memitem">
2970<div class="memproto">
2971 <table class="memname">
2972 <tr>
2973 <td class="memname">bool IsMinimumSupported </td>
2974 <td>(</td>
2975 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2976 <td class="paramname"><em>input0</em>, </td>
2977 </tr>
2978 <tr>
2979 <td class="paramkey"></td>
2980 <td></td>
2981 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2982 <td class="paramname"><em>input1</em>, </td>
2983 </tr>
2984 <tr>
2985 <td class="paramkey"></td>
2986 <td></td>
2987 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
2988 <td class="paramname"><em>output</em>, </td>
2989 </tr>
2990 <tr>
2991 <td class="paramkey"></td>
2992 <td></td>
2993 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
2994 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
2995 </tr>
2996 <tr>
2997 <td></td>
2998 <td>)</td>
2999 <td></td><td> const</td>
3000 </tr>
3001 </table>
3002</div><div class="memdoc">
3003
3004<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01267">1267</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3005<div class="fragment"><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>&#160;{</div>
3006<div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a8c04c8e796a4fbec706df42ed9c27e4e">ClMinimumWorkloadValidate</a>,</div>
3007<div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160; reasonIfUnsupported,</div>
3008<div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>&#160; input0,</div>
3009<div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160; input1,</div>
3010<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160; output);</div>
3011<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160;}</div>
3012</div><!-- fragment -->
3013<p class="reference">References <a class="el" href="_cl_minimum_workload_8cpp_source.html#l00024">armnn::ClMinimumWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3014
3015<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3016
3017</div>
3018</div>
3019<a id="a030c7a65a5c26b93c57b30e3c9d6a80b"></a>
3020<h2 class="memtitle"><span class="permalink"><a href="#a030c7a65a5c26b93c57b30e3c9d6a80b">&#9670;&nbsp;</a></span>IsMultiplicationSupported()</h2>
3021
3022<div class="memitem">
3023<div class="memproto">
3024 <table class="memname">
3025 <tr>
3026 <td class="memname">bool IsMultiplicationSupported </td>
3027 <td>(</td>
3028 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3029 <td class="paramname"><em>input0</em>, </td>
3030 </tr>
3031 <tr>
3032 <td class="paramkey"></td>
3033 <td></td>
3034 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3035 <td class="paramname"><em>input1</em>, </td>
3036 </tr>
3037 <tr>
3038 <td class="paramkey"></td>
3039 <td></td>
3040 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3041 <td class="paramname"><em>output</em>, </td>
3042 </tr>
3043 <tr>
3044 <td class="paramkey"></td>
3045 <td></td>
3046 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3047 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3048 </tr>
3049 <tr>
3050 <td></td>
3051 <td>)</td>
3052 <td></td><td> const</td>
3053 </tr>
3054 </table>
3055</div><div class="memdoc">
3056
3057<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01279">1279</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3058<div class="fragment"><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160;{</div>
3059<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">ClMultiplicationWorkloadValidate</a>,</div>
3060<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160; reasonIfUnsupported,</div>
3061<div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160; input0,</div>
3062<div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160; input1,</div>
3063<div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160; output,</div>
3064<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160; <span class="keyword">nullptr</span>);</div>
3065<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160;}</div>
3066</div><!-- fragment -->
3067<p class="reference">References <a class="el" href="_cl_multiplication_workload_8cpp_source.html#l00018">armnn::ClMultiplicationWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3068
3069<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3070
3071</div>
3072</div>
3073<a id="af77622c468f95d7cbc05b7d6f6e83830"></a>
3074<h2 class="memtitle"><span class="permalink"><a href="#af77622c468f95d7cbc05b7d6f6e83830">&#9670;&nbsp;</a></span>IsNormalizationSupported()</h2>
3075
3076<div class="memitem">
3077<div class="memproto">
3078 <table class="memname">
3079 <tr>
3080 <td class="memname">bool IsNormalizationSupported </td>
3081 <td>(</td>
3082 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3083 <td class="paramname"><em>input</em>, </td>
3084 </tr>
3085 <tr>
3086 <td class="paramkey"></td>
3087 <td></td>
3088 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3089 <td class="paramname"><em>output</em>, </td>
3090 </tr>
3091 <tr>
3092 <td class="paramkey"></td>
3093 <td></td>
3094 <td class="paramtype">const <a class="el" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a> &amp;&#160;</td>
3095 <td class="paramname"><em>descriptor</em>, </td>
3096 </tr>
3097 <tr>
3098 <td class="paramkey"></td>
3099 <td></td>
3100 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3101 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3102 </tr>
3103 <tr>
3104 <td></td>
3105 <td>)</td>
3106 <td></td><td> const</td>
3107 </tr>
3108 </table>
3109</div><div class="memdoc">
3110
3111<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01292">1292</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3112<div class="fragment"><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160;{</div>
3113<div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a144c2e243a255715f309999077ed1792">ClNormalizationWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
3114<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160;}</div>
3115</div><!-- fragment -->
3116<p class="reference">References <a class="el" href="_cl_normalization_float_workload_8cpp_source.html#l00019">armnn::ClNormalizationWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3117
3118<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3119
3120</div>
3121</div>
3122<a id="a3b1efcbd2ac79d53fa0db56831095cd6"></a>
3123<h2 class="memtitle"><span class="permalink"><a href="#a3b1efcbd2ac79d53fa0db56831095cd6">&#9670;&nbsp;</a></span>IsOutputSupported()</h2>
3124
3125<div class="memitem">
3126<div class="memproto">
3127 <table class="memname">
3128 <tr>
3129 <td class="memname">bool IsOutputSupported </td>
3130 <td>(</td>
3131 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3132 <td class="paramname"><em>output</em>, </td>
3133 </tr>
3134 <tr>
3135 <td class="paramkey"></td>
3136 <td></td>
3137 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3138 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3139 </tr>
3140 <tr>
3141 <td></td>
3142 <td>)</td>
3143 <td></td><td> const</td>
3144 </tr>
3145 </table>
3146</div><div class="memdoc">
3147
3148<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01300">1300</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3149<div class="fragment"><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160;{</div>
3150<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160; <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported, output);</div>
3151<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160;}</div>
3152</div><!-- fragment -->
3153<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3154
3155</div>
3156</div>
3157<a id="a649ebe27288d2e62ed0069c0f1d941b8"></a>
3158<h2 class="memtitle"><span class="permalink"><a href="#a649ebe27288d2e62ed0069c0f1d941b8">&#9670;&nbsp;</a></span>IsPadSupported()</h2>
3159
3160<div class="memitem">
3161<div class="memproto">
3162 <table class="memname">
3163 <tr>
3164 <td class="memname">bool IsPadSupported </td>
3165 <td>(</td>
3166 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3167 <td class="paramname"><em>input</em>, </td>
3168 </tr>
3169 <tr>
3170 <td class="paramkey"></td>
3171 <td></td>
3172 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3173 <td class="paramname"><em>output</em>, </td>
3174 </tr>
3175 <tr>
3176 <td class="paramkey"></td>
3177 <td></td>
3178 <td class="paramtype">const <a class="el" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a> &amp;&#160;</td>
3179 <td class="paramname"><em>descriptor</em>, </td>
3180 </tr>
3181 <tr>
3182 <td class="paramkey"></td>
3183 <td></td>
3184 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3185 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3186 </tr>
3187 <tr>
3188 <td></td>
3189 <td>)</td>
3190 <td></td><td> const</td>
3191 </tr>
3192 </table>
3193</div><div class="memdoc">
3194
3195<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01306">1306</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3196<div class="fragment"><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160;{</div>
3197<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#adcf7b7d939bac1cfaeb333c7b3175bb8">ClPadValidate</a>,</div>
3198<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160; reasonIfUnsupported,</div>
3199<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160; input,</div>
3200<div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>&#160; output,</div>
3201<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160; descriptor);</div>
3202<div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160;}</div>
3203</div><!-- fragment -->
3204<p class="reference">References <a class="el" href="_cl_pad_workload_8cpp_source.html#l00062">armnn::ClPadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3205
3206<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3207
3208</div>
3209</div>
3210<a id="a5d06aa3102f630eeff127195693810e8"></a>
3211<h2 class="memtitle"><span class="permalink"><a href="#a5d06aa3102f630eeff127195693810e8">&#9670;&nbsp;</a></span>IsPermuteSupported()</h2>
3212
3213<div class="memitem">
3214<div class="memproto">
3215 <table class="memname">
3216 <tr>
3217 <td class="memname">bool IsPermuteSupported </td>
3218 <td>(</td>
3219 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3220 <td class="paramname"><em>input</em>, </td>
3221 </tr>
3222 <tr>
3223 <td class="paramkey"></td>
3224 <td></td>
3225 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3226 <td class="paramname"><em>output</em>, </td>
3227 </tr>
3228 <tr>
3229 <td class="paramkey"></td>
3230 <td></td>
3231 <td class="paramtype">const <a class="el" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a> &amp;&#160;</td>
3232 <td class="paramname"><em>descriptor</em>, </td>
3233 </tr>
3234 <tr>
3235 <td class="paramkey"></td>
3236 <td></td>
3237 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3238 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3239 </tr>
3240 <tr>
3241 <td></td>
3242 <td>)</td>
3243 <td></td><td> const</td>
3244 </tr>
3245 </table>
3246</div><div class="memdoc">
3247
3248<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01318">1318</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3249<div class="fragment"><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>&#160;{</div>
3250<div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a26c25df9e2271333ab4d4ef71db41dca">ClPermuteWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
3251<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;}</div>
3252</div><!-- fragment -->
3253<p class="reference">References <a class="el" href="_cl_permute_workload_8cpp_source.html#l00017">armnn::ClPermuteWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3254
3255<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3256
3257</div>
3258</div>
3259<a id="a5e11a11243484e16c20247e3e0d4f890"></a>
3260<h2 class="memtitle"><span class="permalink"><a href="#a5e11a11243484e16c20247e3e0d4f890">&#9670;&nbsp;</a></span>IsPooling2dSupported()</h2>
3261
3262<div class="memitem">
3263<div class="memproto">
3264 <table class="memname">
3265 <tr>
3266 <td class="memname">bool IsPooling2dSupported </td>
3267 <td>(</td>
3268 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3269 <td class="paramname"><em>input</em>, </td>
3270 </tr>
3271 <tr>
3272 <td class="paramkey"></td>
3273 <td></td>
3274 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3275 <td class="paramname"><em>output</em>, </td>
3276 </tr>
3277 <tr>
3278 <td class="paramkey"></td>
3279 <td></td>
3280 <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a> &amp;&#160;</td>
3281 <td class="paramname"><em>descriptor</em>, </td>
3282 </tr>
3283 <tr>
3284 <td class="paramkey"></td>
3285 <td></td>
3286 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3287 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3288 </tr>
3289 <tr>
3290 <td></td>
3291 <td>)</td>
3292 <td></td><td> const</td>
3293 </tr>
3294 </table>
3295</div><div class="memdoc">
3296
3297<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01326">1326</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3298<div class="fragment"><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;{</div>
3299<div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a8a21bb33f7f054ce7b48a8c7df9e6d4a">ClPooling2dWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
3300<div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160;}</div>
3301</div><!-- fragment -->
3302<p class="reference">References <a class="el" href="_cl_pooling2d_workload_8cpp_source.html#l00018">armnn::ClPooling2dWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3303
3304<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3305
3306</div>
3307</div>
3308<a id="a677818beaa9f767c7fb0442fb9db2881"></a>
3309<h2 class="memtitle"><span class="permalink"><a href="#a677818beaa9f767c7fb0442fb9db2881">&#9670;&nbsp;</a></span>IsPooling3dSupported()</h2>
3310
3311<div class="memitem">
3312<div class="memproto">
3313 <table class="memname">
3314 <tr>
3315 <td class="memname">bool IsPooling3dSupported </td>
3316 <td>(</td>
3317 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3318 <td class="paramname"><em>input</em>, </td>
3319 </tr>
3320 <tr>
3321 <td class="paramkey"></td>
3322 <td></td>
3323 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3324 <td class="paramname"><em>output</em>, </td>
3325 </tr>
3326 <tr>
3327 <td class="paramkey"></td>
3328 <td></td>
3329 <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.html">Pooling3dDescriptor</a> &amp;&#160;</td>
3330 <td class="paramname"><em>descriptor</em>, </td>
3331 </tr>
3332 <tr>
3333 <td class="paramkey"></td>
3334 <td></td>
3335 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3336 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3337 </tr>
3338 <tr>
3339 <td></td>
3340 <td>)</td>
3341 <td></td><td> const</td>
3342 </tr>
3343 </table>
3344</div><div class="memdoc">
3345
3346<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01334">1334</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3347<div class="fragment"><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160;{</div>
3348<div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a85776d92e056832a524c6f2cf4741ced">ClPooling3dWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
3349<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160;}</div>
3350</div><!-- fragment -->
3351<p class="reference">References <a class="el" href="_cl_pooling3d_workload_8cpp_source.html#l00018">armnn::ClPooling3dWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3352
3353<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3354
3355</div>
3356</div>
3357<a id="a98b405bfcfb15d1aa09042ffc370f370"></a>
3358<h2 class="memtitle"><span class="permalink"><a href="#a98b405bfcfb15d1aa09042ffc370f370">&#9670;&nbsp;</a></span>IsPreluSupported()</h2>
3359
3360<div class="memitem">
3361<div class="memproto">
3362 <table class="memname">
3363 <tr>
3364 <td class="memname">bool IsPreluSupported </td>
3365 <td>(</td>
3366 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3367 <td class="paramname"><em>input</em>, </td>
3368 </tr>
3369 <tr>
3370 <td class="paramkey"></td>
3371 <td></td>
3372 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3373 <td class="paramname"><em>alpha</em>, </td>
3374 </tr>
3375 <tr>
3376 <td class="paramkey"></td>
3377 <td></td>
3378 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3379 <td class="paramname"><em>output</em>, </td>
3380 </tr>
3381 <tr>
3382 <td class="paramkey"></td>
3383 <td></td>
3384 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3385 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3386 </tr>
3387 <tr>
3388 <td></td>
3389 <td>)</td>
3390 <td></td><td> const</td>
3391 </tr>
3392 </table>
3393</div><div class="memdoc">
3394
3395<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01342">1342</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3396<div class="fragment"><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160;{</div>
3397<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ae58d1f4437a779274037bc86efac9e26">ClPreluWorkloadValidate</a>, reasonIfUnsupported, input, alpha, output);</div>
3398<div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160;}</div>
3399</div><!-- fragment -->
3400<p class="reference">References <a class="el" href="_cl_prelu_workload_8cpp_source.html#l00016">armnn::ClPreluWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3401
3402<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3403
3404</div>
3405</div>
3406<a id="a07cd270641b5876471c8ba9e77bc3abe"></a>
3407<h2 class="memtitle"><span class="permalink"><a href="#a07cd270641b5876471c8ba9e77bc3abe">&#9670;&nbsp;</a></span>IsQLstmSupported()</h2>
3408
3409<div class="memitem">
3410<div class="memproto">
3411 <table class="memname">
3412 <tr>
3413 <td class="memname">bool IsQLstmSupported </td>
3414 <td>(</td>
3415 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3416 <td class="paramname"><em>input</em>, </td>
3417 </tr>
3418 <tr>
3419 <td class="paramkey"></td>
3420 <td></td>
3421 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3422 <td class="paramname"><em>previousOutputIn</em>, </td>
3423 </tr>
3424 <tr>
3425 <td class="paramkey"></td>
3426 <td></td>
3427 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3428 <td class="paramname"><em>previousCellStateIn</em>, </td>
3429 </tr>
3430 <tr>
3431 <td class="paramkey"></td>
3432 <td></td>
3433 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3434 <td class="paramname"><em>outputStateOut</em>, </td>
3435 </tr>
3436 <tr>
3437 <td class="paramkey"></td>
3438 <td></td>
3439 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3440 <td class="paramname"><em>cellStateOut</em>, </td>
3441 </tr>
3442 <tr>
3443 <td class="paramkey"></td>
3444 <td></td>
3445 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3446 <td class="paramname"><em>output</em>, </td>
3447 </tr>
3448 <tr>
3449 <td class="paramkey"></td>
3450 <td></td>
3451 <td class="paramtype">const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a> &amp;&#160;</td>
3452 <td class="paramname"><em>descriptor</em>, </td>
3453 </tr>
3454 <tr>
3455 <td class="paramkey"></td>
3456 <td></td>
3457 <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &amp;&#160;</td>
3458 <td class="paramname"><em>paramsInfo</em>, </td>
3459 </tr>
3460 <tr>
3461 <td class="paramkey"></td>
3462 <td></td>
3463 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3464 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3465 </tr>
3466 <tr>
3467 <td></td>
3468 <td>)</td>
3469 <td></td><td> const</td>
3470 </tr>
3471 </table>
3472</div><div class="memdoc">
3473
3474<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01350">1350</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3475<div class="fragment"><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160;{</div>
3476<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160; <span class="keywordflow">if</span> (input.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &amp;&amp;</div>
3477<div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>&#160; previousOutputIn.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &amp;&amp;</div>
3478<div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160; previousCellStateIn.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &amp;&amp;</div>
3479<div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>&#160; outputStateOut.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &amp;&amp;</div>
3480<div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160; cellStateOut.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &amp;&amp;</div>
3481<div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>&#160; output.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>)</div>
3482<div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160; {</div>
3483<div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a8cdb508cb0ebc06e39dc1661815d73b0">ClQLstmWorkloadValidate</a>,</div>
3484<div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160; reasonIfUnsupported,</div>
3485<div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160; input,</div>
3486<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160; previousCellStateIn,</div>
3487<div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160; previousOutputIn,</div>
3488<div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160; cellStateOut,</div>
3489<div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>&#160; outputStateOut,</div>
3490<div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160; output,</div>
3491<div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>&#160; descriptor,</div>
3492<div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160; paramsInfo);</div>
3493<div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160; }</div>
3494<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160; <span class="keywordflow">else</span></div>
3495<div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160; {</div>
3496<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
3497<div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160; }</div>
3498<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160;}</div>
3499</div><!-- fragment -->
3500<p class="reference">References <a class="el" href="_cl_q_lstm_workload_8cpp_source.html#l00247">armnn::ClQLstmWorkloadValidate()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
3501
3502<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3503
3504</div>
3505</div>
3506<a id="aad6eabce66fdae7c3389450e9dc75df9"></a>
3507<h2 class="memtitle"><span class="permalink"><a href="#aad6eabce66fdae7c3389450e9dc75df9">&#9670;&nbsp;</a></span>IsQuantizedLstmSupported()</h2>
3508
3509<div class="memitem">
3510<div class="memproto">
3511 <table class="memname">
3512 <tr>
3513 <td class="memname">bool IsQuantizedLstmSupported </td>
3514 <td>(</td>
3515 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3516 <td class="paramname"><em>input</em>, </td>
3517 </tr>
3518 <tr>
3519 <td class="paramkey"></td>
3520 <td></td>
3521 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3522 <td class="paramname"><em>previousCellStateIn</em>, </td>
3523 </tr>
3524 <tr>
3525 <td class="paramkey"></td>
3526 <td></td>
3527 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3528 <td class="paramname"><em>previousOutputIn</em>, </td>
3529 </tr>
3530 <tr>
3531 <td class="paramkey"></td>
3532 <td></td>
3533 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3534 <td class="paramname"><em>cellStateOut</em>, </td>
3535 </tr>
3536 <tr>
3537 <td class="paramkey"></td>
3538 <td></td>
3539 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3540 <td class="paramname"><em>output</em>, </td>
3541 </tr>
3542 <tr>
3543 <td class="paramkey"></td>
3544 <td></td>
3545 <td class="paramtype">const <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a> &amp;&#160;</td>
3546 <td class="paramname"><em>paramsInfo</em>, </td>
3547 </tr>
3548 <tr>
3549 <td class="paramkey"></td>
3550 <td></td>
3551 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3552 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3553 </tr>
3554 <tr>
3555 <td></td>
3556 <td>)</td>
3557 <td></td><td> const</td>
3558 </tr>
3559 </table>
3560</div><div class="memdoc">
3561
3562<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01384">1384</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3563<div class="fragment"><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160;{</div>
3564<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a5fb7fe07abfb2373103d842b47a24726">ClQuantizedLstmWorkloadValidate</a>,</div>
3565<div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160; reasonIfUnsupported,</div>
3566<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160; input,</div>
3567<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160; previousCellStateIn,</div>
3568<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160; previousOutputIn,</div>
3569<div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160; cellStateOut,</div>
3570<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160; output,</div>
3571<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160; paramsInfo);</div>
3572<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160;}</div>
3573</div><!-- fragment -->
3574<p class="reference">References <a class="el" href="_cl_quantized_lstm_workload_8cpp_source.html#l00018">armnn::ClQuantizedLstmWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3575
3576<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3577
3578</div>
3579</div>
3580<a id="a7c739d08cf4fe3f9adef635be0544362"></a>
3581<h2 class="memtitle"><span class="permalink"><a href="#a7c739d08cf4fe3f9adef635be0544362">&#9670;&nbsp;</a></span>IsQuantizeSupported()</h2>
3582
3583<div class="memitem">
3584<div class="memproto">
3585 <table class="memname">
3586 <tr>
3587 <td class="memname">bool IsQuantizeSupported </td>
3588 <td>(</td>
3589 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3590 <td class="paramname"><em>input</em>, </td>
3591 </tr>
3592 <tr>
3593 <td class="paramkey"></td>
3594 <td></td>
3595 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3596 <td class="paramname"><em>output</em>, </td>
3597 </tr>
3598 <tr>
3599 <td class="paramkey"></td>
3600 <td></td>
3601 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3602 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3603 </tr>
3604 <tr>
3605 <td></td>
3606 <td>)</td>
3607 <td></td><td> const</td>
3608 </tr>
3609 </table>
3610</div><div class="memdoc">
3611
3612<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01402">1402</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3613<div class="fragment"><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160;{</div>
3614<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a9c1b478e30a1e8a4ecac874cf15f13d4">ClQuantizeWorkloadValidate</a>,</div>
3615<div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160; reasonIfUnsupported,</div>
3616<div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160; input,</div>
3617<div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160; output);</div>
3618<div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160;}</div>
3619</div><!-- fragment -->
3620<p class="reference">References <a class="el" href="_cl_quantize_workload_8cpp_source.html#l00022">armnn::ClQuantizeWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3621
3622<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3623
3624</div>
3625</div>
3626<a id="aa253f9963038f4d68877caf6a9a091b4"></a>
3627<h2 class="memtitle"><span class="permalink"><a href="#aa253f9963038f4d68877caf6a9a091b4">&#9670;&nbsp;</a></span>IsReduceSupported()</h2>
3628
3629<div class="memitem">
3630<div class="memproto">
3631 <table class="memname">
3632 <tr>
3633 <td class="memname">bool IsReduceSupported </td>
3634 <td>(</td>
3635 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3636 <td class="paramname"><em>input</em>, </td>
3637 </tr>
3638 <tr>
3639 <td class="paramkey"></td>
3640 <td></td>
3641 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3642 <td class="paramname"><em>output</em>, </td>
3643 </tr>
3644 <tr>
3645 <td class="paramkey"></td>
3646 <td></td>
3647 <td class="paramtype">const <a class="el" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a> &amp;&#160;</td>
3648 <td class="paramname"><em>descriptor</em>, </td>
3649 </tr>
3650 <tr>
3651 <td class="paramkey"></td>
3652 <td></td>
3653 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3654 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3655 </tr>
3656 <tr>
3657 <td></td>
3658 <td>)</td>
3659 <td></td><td> const</td>
3660 </tr>
3661 </table>
3662</div><div class="memdoc">
3663
3664<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01412">1412</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3665<div class="fragment"><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160;{</div>
3666<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a4c42dfd9db4a47e470b5800bb11a8374">ClReduceWorkloadValidate</a>,</div>
3667<div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160; reasonIfUnsupported,</div>
3668<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160; input,</div>
3669<div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160; output,</div>
3670<div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160; descriptor);</div>
3671<div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160;}</div>
3672</div><!-- fragment -->
3673<p class="reference">References <a class="el" href="_cl_reduce_workload_8cpp_source.html#l00018">armnn::ClReduceWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3674
3675<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3676
3677</div>
3678</div>
3679<a id="ae96fb1672cadd4e9b87809004799b6da"></a>
3680<h2 class="memtitle"><span class="permalink"><a href="#ae96fb1672cadd4e9b87809004799b6da">&#9670;&nbsp;</a></span>IsReshapeSupported()</h2>
3681
3682<div class="memitem">
3683<div class="memproto">
3684 <table class="memname">
3685 <tr>
3686 <td class="memname">bool IsReshapeSupported </td>
3687 <td>(</td>
3688 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3689 <td class="paramname"><em>input</em>, </td>
3690 </tr>
3691 <tr>
3692 <td class="paramkey"></td>
3693 <td></td>
3694 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3695 <td class="paramname"><em>output</em>, </td>
3696 </tr>
3697 <tr>
3698 <td class="paramkey"></td>
3699 <td></td>
3700 <td class="paramtype">const <a class="el" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a> &amp;&#160;</td>
3701 <td class="paramname"><em>descriptor</em>, </td>
3702 </tr>
3703 <tr>
3704 <td class="paramkey"></td>
3705 <td></td>
3706 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3707 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3708 </tr>
3709 <tr>
3710 <td></td>
3711 <td>)</td>
3712 <td></td><td> const</td>
3713 </tr>
3714 </table>
3715</div><div class="memdoc">
3716
3717<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01424">1424</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3718<div class="fragment"><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>&#160;{</div>
3719<div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div>
3720<div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#af5bb7a834a74983cbbc249785d0c392b">ClReshapeWorkloadValidate</a>, reasonIfUnsupported, input, output);</div>
3721<div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160;}</div>
3722</div><!-- fragment -->
3723<p class="reference">References <a class="el" href="_cl_reshape_workload_8cpp_source.html#l00015">armnn::ClReshapeWorkloadValidate()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, and <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>.</p>
3724
3725<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3726
3727</div>
3728</div>
3729<a id="a85e08ffdec56499a2f78859229b51aa4"></a>
3730<h2 class="memtitle"><span class="permalink"><a href="#a85e08ffdec56499a2f78859229b51aa4">&#9670;&nbsp;</a></span>IsResizeSupported()</h2>
3731
3732<div class="memitem">
3733<div class="memproto">
3734 <table class="memname">
3735 <tr>
3736 <td class="memname">bool IsResizeSupported </td>
3737 <td>(</td>
3738 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3739 <td class="paramname"><em>input</em>, </td>
3740 </tr>
3741 <tr>
3742 <td class="paramkey"></td>
3743 <td></td>
3744 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3745 <td class="paramname"><em>output</em>, </td>
3746 </tr>
3747 <tr>
3748 <td class="paramkey"></td>
3749 <td></td>
3750 <td class="paramtype">const <a class="el" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a> &amp;&#160;</td>
3751 <td class="paramname"><em>descriptor</em>, </td>
3752 </tr>
3753 <tr>
3754 <td class="paramkey"></td>
3755 <td></td>
3756 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3757 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3758 </tr>
3759 <tr>
3760 <td></td>
3761 <td>)</td>
3762 <td></td><td> const</td>
3763 </tr>
3764 </table>
3765</div><div class="memdoc">
3766
3767<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01433">1433</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3768<div class="fragment"><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>&#160;{</div>
3769<div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a95b187d3c6b7b46f4fbdc60be69fc02c">ClResizeWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
3770<div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160;}</div>
3771</div><!-- fragment -->
3772<p class="reference">References <a class="el" href="_cl_resize_workload_8cpp_source.html#l00022">armnn::ClResizeWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3773
3774<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3775
3776</div>
3777</div>
3778<a id="ade477ece5a23f14601f73127ba6b9f90"></a>
3779<h2 class="memtitle"><span class="permalink"><a href="#ade477ece5a23f14601f73127ba6b9f90">&#9670;&nbsp;</a></span>IsReverseV2Supported()</h2>
3780
3781<div class="memitem">
3782<div class="memproto">
3783 <table class="memname">
3784 <tr>
3785 <td class="memname">bool IsReverseV2Supported </td>
3786 <td>(</td>
3787 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3788 <td class="paramname"><em>input</em>, </td>
3789 </tr>
3790 <tr>
3791 <td class="paramkey"></td>
3792 <td></td>
3793 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3794 <td class="paramname"><em>axis</em>, </td>
3795 </tr>
3796 <tr>
3797 <td class="paramkey"></td>
3798 <td></td>
3799 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3800 <td class="paramname"><em>output</em>, </td>
3801 </tr>
3802 <tr>
3803 <td class="paramkey"></td>
3804 <td></td>
3805 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3806 <td class="paramname"><em>reasonIfUnsupported</em>&#160;</td>
3807 </tr>
3808 <tr>
3809 <td></td>
3810 <td>)</td>
3811 <td></td><td> const</td>
3812 </tr>
3813 </table>
3814</div><div class="memdoc">
3815
3816<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01441">1441</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3817<div class="fragment"><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160;{</div>
3818<div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a71d44017e7d06987e1206a26d9ec09ea">ClReverseV2WorkloadValidate</a>,</div>
3819<div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>&#160; reasonIfUnsupported,</div>
3820<div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>&#160; input,</div>
3821<div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>&#160; axis,</div>
3822<div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160; output);</div>
3823<div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160;}</div>
3824</div><!-- fragment -->
3825<p class="reference">References <a class="el" href="_cl_reverse_v2_workload_8cpp_source.html#l00016">armnn::ClReverseV2WorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3826
3827<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3828
3829</div>
3830</div>
3831<a id="ac41e0c07587d6a3da9349b0e49c4643d"></a>
3832<h2 class="memtitle"><span class="permalink"><a href="#ac41e0c07587d6a3da9349b0e49c4643d">&#9670;&nbsp;</a></span>IsScatterNdSupported()</h2>
3833
3834<div class="memitem">
3835<div class="memproto">
3836 <table class="memname">
3837 <tr>
3838 <td class="memname">bool IsScatterNdSupported </td>
3839 <td>(</td>
3840 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3841 <td class="paramname"><em>input</em>, </td>
3842 </tr>
3843 <tr>
3844 <td class="paramkey"></td>
3845 <td></td>
3846 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3847 <td class="paramname"><em>indices</em>, </td>
3848 </tr>
3849 <tr>
3850 <td class="paramkey"></td>
3851 <td></td>
3852 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3853 <td class="paramname"><em>updates</em>, </td>
3854 </tr>
3855 <tr>
3856 <td class="paramkey"></td>
3857 <td></td>
3858 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3859 <td class="paramname"><em>output</em>, </td>
3860 </tr>
3861 <tr>
3862 <td class="paramkey"></td>
3863 <td></td>
3864 <td class="paramtype">const <a class="el" href="structarmnn_1_1_scatter_nd_descriptor.html">ScatterNdDescriptor</a> &amp;&#160;</td>
3865 <td class="paramname"><em>descriptor</em>, </td>
3866 </tr>
3867 <tr>
3868 <td class="paramkey"></td>
3869 <td></td>
3870 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3871 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3872 </tr>
3873 <tr>
3874 <td></td>
3875 <td>)</td>
3876 <td></td><td> const</td>
3877 </tr>
3878 </table>
3879</div><div class="memdoc">
3880
3881<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01453">1453</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3882<div class="fragment"><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>&#160;{</div>
3883<div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a49d6ee4e08176ca6afcc0e53f61e8075">ClScatterNdWorkloadValidate</a>,</div>
3884<div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>&#160; reasonIfUnsupported,</div>
3885<div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160; input,</div>
3886<div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160; indices,</div>
3887<div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160; updates,</div>
3888<div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>&#160; output,</div>
3889<div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>&#160; descriptor);</div>
3890<div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160;}</div>
3891</div><!-- fragment -->
3892<p class="reference">References <a class="el" href="_cl_scatter_nd_workload_8cpp_source.html#l00020">armnn::ClScatterNdWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3893
3894<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3895
3896</div>
3897</div>
3898<a id="a29d47a3b7a5f312d858c2a1c67905a83"></a>
3899<h2 class="memtitle"><span class="permalink"><a href="#a29d47a3b7a5f312d858c2a1c67905a83">&#9670;&nbsp;</a></span>IsSliceSupported()</h2>
3900
3901<div class="memitem">
3902<div class="memproto">
3903 <table class="memname">
3904 <tr>
3905 <td class="memname">bool IsSliceSupported </td>
3906 <td>(</td>
3907 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3908 <td class="paramname"><em>input</em>, </td>
3909 </tr>
3910 <tr>
3911 <td class="paramkey"></td>
3912 <td></td>
3913 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3914 <td class="paramname"><em>output</em>, </td>
3915 </tr>
3916 <tr>
3917 <td class="paramkey"></td>
3918 <td></td>
3919 <td class="paramtype">const <a class="el" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a> &amp;&#160;</td>
3920 <td class="paramname"><em>descriptor</em>, </td>
3921 </tr>
3922 <tr>
3923 <td class="paramkey"></td>
3924 <td></td>
3925 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3926 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3927 </tr>
3928 <tr>
3929 <td></td>
3930 <td>)</td>
3931 <td></td><td> const</td>
3932 </tr>
3933 </table>
3934</div><div class="memdoc">
3935
3936<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01469">1469</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3937<div class="fragment"><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160;{</div>
3938<div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a6d85d2806d0a90140832ad8113c1d350">ClSliceWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
3939<div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>&#160;}</div>
3940</div><!-- fragment -->
3941<p class="reference">References <a class="el" href="_cl_slice_workload_8cpp_source.html#l00018">armnn::ClSliceWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3942
3943<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3944
3945</div>
3946</div>
3947<a id="abc2d31208c6bcced31369b024eee3b65"></a>
3948<h2 class="memtitle"><span class="permalink"><a href="#abc2d31208c6bcced31369b024eee3b65">&#9670;&nbsp;</a></span>IsSoftmaxSupported()</h2>
3949
3950<div class="memitem">
3951<div class="memproto">
3952 <table class="memname">
3953 <tr>
3954 <td class="memname">bool IsSoftmaxSupported </td>
3955 <td>(</td>
3956 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3957 <td class="paramname"><em>input</em>, </td>
3958 </tr>
3959 <tr>
3960 <td class="paramkey"></td>
3961 <td></td>
3962 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
3963 <td class="paramname"><em>output</em>, </td>
3964 </tr>
3965 <tr>
3966 <td class="paramkey"></td>
3967 <td></td>
3968 <td class="paramtype">const <a class="el" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a> &amp;&#160;</td>
3969 <td class="paramname"><em>descriptor</em>, </td>
3970 </tr>
3971 <tr>
3972 <td class="paramkey"></td>
3973 <td></td>
3974 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
3975 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
3976 </tr>
3977 <tr>
3978 <td></td>
3979 <td>)</td>
3980 <td></td><td> const</td>
3981 </tr>
3982 </table>
3983</div><div class="memdoc">
3984
3985<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01477">1477</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
3986<div class="fragment"><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>&#160;{</div>
3987<div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#abc6f7e5fe77e5aed3f7842755dd34073">ClSoftmaxWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
3988<div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160;}</div>
3989</div><!-- fragment -->
3990<p class="reference">References <a class="el" href="_cl_softmax_workload_8cpp_source.html#l00017">armnn::ClSoftmaxWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
3991
3992<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
3993
3994</div>
3995</div>
3996<a id="aeef91cdb55b6cd1cbda03f42553fb861"></a>
3997<h2 class="memtitle"><span class="permalink"><a href="#aeef91cdb55b6cd1cbda03f42553fb861">&#9670;&nbsp;</a></span>IsSpaceToBatchNdSupported()</h2>
3998
3999<div class="memitem">
4000<div class="memproto">
4001 <table class="memname">
4002 <tr>
4003 <td class="memname">bool IsSpaceToBatchNdSupported </td>
4004 <td>(</td>
4005 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4006 <td class="paramname"><em>input</em>, </td>
4007 </tr>
4008 <tr>
4009 <td class="paramkey"></td>
4010 <td></td>
4011 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4012 <td class="paramname"><em>output</em>, </td>
4013 </tr>
4014 <tr>
4015 <td class="paramkey"></td>
4016 <td></td>
4017 <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a> &amp;&#160;</td>
4018 <td class="paramname"><em>descriptor</em>, </td>
4019 </tr>
4020 <tr>
4021 <td class="paramkey"></td>
4022 <td></td>
4023 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4024 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4025 </tr>
4026 <tr>
4027 <td></td>
4028 <td>)</td>
4029 <td></td><td> const</td>
4030 </tr>
4031 </table>
4032</div><div class="memdoc">
4033
4034<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01485">1485</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4035<div class="fragment"><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160;{</div>
4036<div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a534b28fd4b345bbc938d055ff5b8970f">ClSpaceToBatchNdWorkloadValidate</a>,</div>
4037<div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; reasonIfUnsupported,</div>
4038<div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160; input,</div>
4039<div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160; output,</div>
4040<div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160; descriptor);</div>
4041<div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160;}</div>
4042</div><!-- fragment -->
4043<p class="reference">References <a class="el" href="_cl_space_to_batch_nd_workload_8cpp_source.html#l00016">armnn::ClSpaceToBatchNdWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4044
4045<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4046
4047</div>
4048</div>
4049<a id="abd0c6ea3807227b94374ff321a47284d"></a>
4050<h2 class="memtitle"><span class="permalink"><a href="#abd0c6ea3807227b94374ff321a47284d">&#9670;&nbsp;</a></span>IsSpaceToDepthSupported()</h2>
4051
4052<div class="memitem">
4053<div class="memproto">
4054 <table class="memname">
4055 <tr>
4056 <td class="memname">bool IsSpaceToDepthSupported </td>
4057 <td>(</td>
4058 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4059 <td class="paramname"><em>input</em>, </td>
4060 </tr>
4061 <tr>
4062 <td class="paramkey"></td>
4063 <td></td>
4064 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4065 <td class="paramname"><em>output</em>, </td>
4066 </tr>
4067 <tr>
4068 <td class="paramkey"></td>
4069 <td></td>
4070 <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a> &amp;&#160;</td>
4071 <td class="paramname"><em>descriptor</em>, </td>
4072 </tr>
4073 <tr>
4074 <td class="paramkey"></td>
4075 <td></td>
4076 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4077 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4078 </tr>
4079 <tr>
4080 <td></td>
4081 <td>)</td>
4082 <td></td><td> const</td>
4083 </tr>
4084 </table>
4085</div><div class="memdoc">
4086
4087<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01497">1497</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4088<div class="fragment"><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160;{</div>
4089<div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a4fa3292a277dde3b46be6a44b2de9713">ClSpaceToDepthWorkloadValidate</a>,</div>
4090<div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160; reasonIfUnsupported,</div>
4091<div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160; input,</div>
4092<div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160; output,</div>
4093<div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160; descriptor);</div>
4094<div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160;}</div>
4095</div><!-- fragment -->
4096<p class="reference">References <a class="el" href="_cl_space_to_depth_workload_8cpp_source.html#l00054">armnn::ClSpaceToDepthWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4097
4098<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4099
4100</div>
4101</div>
4102<a id="a9b9c3c80d296907362f8b407b6a20727"></a>
4103<h2 class="memtitle"><span class="permalink"><a href="#a9b9c3c80d296907362f8b407b6a20727">&#9670;&nbsp;</a></span>IsSplitterSupported()</h2>
4104
4105<div class="memitem">
4106<div class="memproto">
4107 <table class="memname">
4108 <tr>
4109 <td class="memname">bool IsSplitterSupported </td>
4110 <td>(</td>
4111 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4112 <td class="paramname"><em>input</em>, </td>
4113 </tr>
4114 <tr>
4115 <td class="paramkey"></td>
4116 <td></td>
4117 <td class="paramtype">const std::vector&lt; std::reference_wrapper&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt;&gt; &amp;&#160;</td>
4118 <td class="paramname"><em>outputs</em>, </td>
4119 </tr>
4120 <tr>
4121 <td class="paramkey"></td>
4122 <td></td>
4123 <td class="paramtype">const <a class="el" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a> &amp;&#160;</td>
4124 <td class="paramname"><em>descriptor</em>, </td>
4125 </tr>
4126 <tr>
4127 <td class="paramkey"></td>
4128 <td></td>
4129 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4130 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4131 </tr>
4132 <tr>
4133 <td></td>
4134 <td>)</td>
4135 <td></td><td> const</td>
4136 </tr>
4137 </table>
4138</div><div class="memdoc">
4139
4140<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01509">1509</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4141<div class="fragment"><div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160;{</div>
4142<div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
4143<div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>&#160; <span class="comment">// Split along the last dimension, cannot use sub-tensors</span></div>
4144<div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160; <span class="comment">// as width and height of the sub-tensors do not match</span></div>
4145<div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>&#160; <span class="comment">// the width and height of the parent tensor</span></div>
4146<div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160; <span class="comment">// in case of input with more than 2D.</span></div>
4147<div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>&#160; std::set&lt;unsigned int&gt; splitAxis = <a class="code" href="namespacearmnn.html#a2f68926d52d1aa3590bd467e041def05">ComputeSplitAxis</a>(descriptor, input.GetShape());</div>
4148<div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160; <span class="keywordflow">if</span> (descriptor.GetNumDimensions() &gt; 2 &amp;&amp; splitAxis.size() == 1 &amp;&amp;</div>
4149<div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160; *splitAxis.begin() == descriptor.GetNumDimensions() - 1 )</div>
4150<div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160; {</div>
4151<div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a3ac8a60f837b19b20987e4fd238ce0cd">ClSplitterWorkloadValidate</a>,</div>
4152<div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160; reasonIfUnsupported,</div>
4153<div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>&#160; input,</div>
4154<div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160; outputs,</div>
4155<div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>&#160; *splitAxis.begin());</div>
4156<div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160; }</div>
4157<div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160;<span class="preprocessor">#endif</span></div>
4158<div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div>
4159<div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : outputs)</div>
4160<div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160; {</div>
4161<div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>&#160; <span class="keywordflow">if</span> (!input.IsTypeSpaceMatch(output)) <span class="comment">// Cannot use sub-tensors if the types are not same space</span></div>
4162<div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160; {</div>
4163<div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; <a class="code" href="namespacearmnn.html#a8c88a8a91827e9ccc3cf3ce6b14fcd17">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">&quot;Cl Splitter: Types and quantization parameters must match.&quot;</span>);</div>
4164<div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
4165<div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160; }</div>
4166<div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160; }</div>
4167<div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
4168<div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>&#160;}</div>
4169</div><!-- fragment -->
4170<p class="reference">References <a class="el" href="_cl_splitter_workload_8cpp_source.html#l00032">armnn::ClSplitterWorkloadValidate()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00377">armnn::ComputeSplitAxis()</a>, <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>, <a class="el" href="_descriptors_8cpp_source.html#l00307">ViewsDescriptor::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_ignore_unused_8hpp_source.html#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_tensor_8cpp_source.html#l00432">TensorInfo::IsTypeSpaceMatch()</a>, and <a class="el" href="_layer_support_common_8hpp_source.html#l00017">armnn::SetValueChecked()</a>.</p>
4171
4172<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4173
4174</div>
4175</div>
4176<a id="abd5430fb7e3f330b675a797d690e6eb4"></a>
4177<h2 class="memtitle"><span class="permalink"><a href="#abd5430fb7e3f330b675a797d690e6eb4">&#9670;&nbsp;</a></span>IsStackSupported()</h2>
4178
4179<div class="memitem">
4180<div class="memproto">
4181 <table class="memname">
4182 <tr>
4183 <td class="memname">bool IsStackSupported </td>
4184 <td>(</td>
4185 <td class="paramtype">const std::vector&lt; const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * &gt; &amp;&#160;</td>
4186 <td class="paramname"><em>inputs</em>, </td>
4187 </tr>
4188 <tr>
4189 <td class="paramkey"></td>
4190 <td></td>
4191 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4192 <td class="paramname"><em>output</em>, </td>
4193 </tr>
4194 <tr>
4195 <td class="paramkey"></td>
4196 <td></td>
4197 <td class="paramtype">const <a class="el" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a> &amp;&#160;</td>
4198 <td class="paramname"><em>descriptor</em>, </td>
4199 </tr>
4200 <tr>
4201 <td class="paramkey"></td>
4202 <td></td>
4203 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4204 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4205 </tr>
4206 <tr>
4207 <td></td>
4208 <td>)</td>
4209 <td></td><td> const</td>
4210 </tr>
4211 </table>
4212</div><div class="memdoc">
4213
4214<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01542">1542</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4215<div class="fragment"><div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>&#160;{</div>
4216<div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a776783e716aa3dd5975c72696d0b7abb">ClStackWorkloadValidate</a>,</div>
4217<div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160; reasonIfUnsupported,</div>
4218<div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160; inputs,</div>
4219<div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160; output,</div>
4220<div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160; descriptor);</div>
4221<div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>&#160;}</div>
4222</div><!-- fragment -->
4223<p class="reference">References <a class="el" href="_cl_stack_workload_8cpp_source.html#l00029">armnn::ClStackWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4224
4225<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4226
4227</div>
4228</div>
4229<a id="a227f01f31ce42d62f160d49d5d044a3b"></a>
4230<h2 class="memtitle"><span class="permalink"><a href="#a227f01f31ce42d62f160d49d5d044a3b">&#9670;&nbsp;</a></span>IsStridedSliceSupported()</h2>
4231
4232<div class="memitem">
4233<div class="memproto">
4234 <table class="memname">
4235 <tr>
4236 <td class="memname">bool IsStridedSliceSupported </td>
4237 <td>(</td>
4238 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4239 <td class="paramname"><em>input</em>, </td>
4240 </tr>
4241 <tr>
4242 <td class="paramkey"></td>
4243 <td></td>
4244 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4245 <td class="paramname"><em>output</em>, </td>
4246 </tr>
4247 <tr>
4248 <td class="paramkey"></td>
4249 <td></td>
4250 <td class="paramtype">const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a> &amp;&#160;</td>
4251 <td class="paramname"><em>descriptor</em>, </td>
4252 </tr>
4253 <tr>
4254 <td class="paramkey"></td>
4255 <td></td>
4256 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4257 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4258 </tr>
4259 <tr>
4260 <td></td>
4261 <td>)</td>
4262 <td></td><td> const</td>
4263 </tr>
4264 </table>
4265</div><div class="memdoc">
4266
4267<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01554">1554</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4268<div class="fragment"><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160;{</div>
4269<div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a157e0508f6d6d08e3ca4cf6c661242e6">ClStridedSliceWorkloadValidate</a>,</div>
4270<div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>&#160; reasonIfUnsupported,</div>
4271<div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>&#160; input,</div>
4272<div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>&#160; output,</div>
4273<div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>&#160; descriptor);</div>
4274<div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>&#160;}</div>
4275</div><!-- fragment -->
4276<p class="reference">References <a class="el" href="_cl_strided_slice_workload_8cpp_source.html#l00027">armnn::ClStridedSliceWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4277
4278<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4279
4280</div>
4281</div>
4282<a id="a6e14b055cf3d72d4de0cc9f68616925c"></a>
4283<h2 class="memtitle"><span class="permalink"><a href="#a6e14b055cf3d72d4de0cc9f68616925c">&#9670;&nbsp;</a></span>IsSubtractionSupported()</h2>
4284
4285<div class="memitem">
4286<div class="memproto">
4287 <table class="memname">
4288 <tr>
4289 <td class="memname">bool IsSubtractionSupported </td>
4290 <td>(</td>
4291 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4292 <td class="paramname"><em>input0</em>, </td>
4293 </tr>
4294 <tr>
4295 <td class="paramkey"></td>
4296 <td></td>
4297 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4298 <td class="paramname"><em>input1</em>, </td>
4299 </tr>
4300 <tr>
4301 <td class="paramkey"></td>
4302 <td></td>
4303 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4304 <td class="paramname"><em>output</em>, </td>
4305 </tr>
4306 <tr>
4307 <td class="paramkey"></td>
4308 <td></td>
4309 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4310 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4311 </tr>
4312 <tr>
4313 <td></td>
4314 <td>)</td>
4315 <td></td><td> const</td>
4316 </tr>
4317 </table>
4318</div><div class="memdoc">
4319
4320<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01566">1566</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4321<div class="fragment"><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160;{</div>
4322<div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">ClSubtractionValidate</a>,</div>
4323<div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160; reasonIfUnsupported,</div>
4324<div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>&#160; input0,</div>
4325<div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160; input1,</div>
4326<div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160; output,</div>
4327<div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160; <span class="keyword">nullptr</span>);</div>
4328<div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160;}</div>
4329</div><!-- fragment -->
4330<p class="reference">References <a class="el" href="_cl_subtraction_workload_8cpp_source.html#l00046">armnn::ClSubtractionValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4331
4332<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4333
4334</div>
4335</div>
4336<a id="a27b8700a838b8018acb22cf38570b997"></a>
4337<h2 class="memtitle"><span class="permalink"><a href="#a27b8700a838b8018acb22cf38570b997">&#9670;&nbsp;</a></span>IsTileSupported()</h2>
4338
4339<div class="memitem">
4340<div class="memproto">
4341 <table class="memname">
4342 <tr>
4343 <td class="memname">bool IsTileSupported </td>
4344 <td>(</td>
4345 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4346 <td class="paramname"><em>input</em>, </td>
4347 </tr>
4348 <tr>
4349 <td class="paramkey"></td>
4350 <td></td>
4351 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4352 <td class="paramname"><em>output</em>, </td>
4353 </tr>
4354 <tr>
4355 <td class="paramkey"></td>
4356 <td></td>
4357 <td class="paramtype">const <a class="el" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> &amp;&#160;</td>
4358 <td class="paramname"><em>descriptor</em>, </td>
4359 </tr>
4360 <tr>
4361 <td class="paramkey"></td>
4362 <td></td>
4363 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4364 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4365 </tr>
4366 <tr>
4367 <td></td>
4368 <td>)</td>
4369 <td></td><td> const</td>
4370 </tr>
4371 </table>
4372</div><div class="memdoc">
4373
4374<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01579">1579</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4375<div class="fragment"><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160;{</div>
4376<div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a44d0d727df44d696742871b343db5757">ClTileWorkloadValidate</a>,</div>
4377<div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160; reasonIfUnsupported,</div>
4378<div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160; input,</div>
4379<div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>&#160; output,</div>
4380<div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160; descriptor);</div>
4381<div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160;}</div>
4382</div><!-- fragment -->
4383<p class="reference">References <a class="el" href="_cl_tile_workload_8cpp_source.html#l00016">armnn::ClTileWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4384
4385<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4386
4387</div>
4388</div>
4389<a id="a161bd30613088b5f2c8d4f5234ceacea"></a>
4390<h2 class="memtitle"><span class="permalink"><a href="#a161bd30613088b5f2c8d4f5234ceacea">&#9670;&nbsp;</a></span>IsTransposeConvolution2dSupported()</h2>
4391
4392<div class="memitem">
4393<div class="memproto">
4394 <table class="memname">
4395 <tr>
4396 <td class="memname">bool IsTransposeConvolution2dSupported </td>
4397 <td>(</td>
4398 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4399 <td class="paramname"><em>input</em>, </td>
4400 </tr>
4401 <tr>
4402 <td class="paramkey"></td>
4403 <td></td>
4404 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4405 <td class="paramname"><em>output</em>, </td>
4406 </tr>
4407 <tr>
4408 <td class="paramkey"></td>
4409 <td></td>
4410 <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a> &amp;&#160;</td>
4411 <td class="paramname"><em>descriptor</em>, </td>
4412 </tr>
4413 <tr>
4414 <td class="paramkey"></td>
4415 <td></td>
4416 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4417 <td class="paramname"><em>weights</em>, </td>
4418 </tr>
4419 <tr>
4420 <td class="paramkey"></td>
4421 <td></td>
4422 <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &gt; &amp;&#160;</td>
4423 <td class="paramname"><em>biases</em>, </td>
4424 </tr>
4425 <tr>
4426 <td class="paramkey"></td>
4427 <td></td>
4428 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4429 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4430 </tr>
4431 <tr>
4432 <td></td>
4433 <td>)</td>
4434 <td></td><td> const</td>
4435 </tr>
4436 </table>
4437</div><div class="memdoc">
4438
4439<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01591">1591</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4440<div class="fragment"><div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>&#160;{</div>
4441<div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a719ea81939d6a25f8636b52c59165d66">ClTransposeConvolution2dWorkloadValidate</a>,</div>
4442<div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>&#160; reasonIfUnsupported,</div>
4443<div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>&#160; input,</div>
4444<div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>&#160; output,</div>
4445<div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>&#160; descriptor,</div>
4446<div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>&#160; weights,</div>
4447<div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>&#160; biases);</div>
4448<div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>&#160;}</div>
4449</div><!-- fragment -->
4450<p class="reference">References <a class="el" href="_cl_transpose_convolution2d_workload_8cpp_source.html#l00026">armnn::ClTransposeConvolution2dWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4451
4452<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4453
4454</div>
4455</div>
4456<a id="a1a431d200c1ab85913cac36539d9ca3b"></a>
4457<h2 class="memtitle"><span class="permalink"><a href="#a1a431d200c1ab85913cac36539d9ca3b">&#9670;&nbsp;</a></span>IsTransposeSupported()</h2>
4458
4459<div class="memitem">
4460<div class="memproto">
4461 <table class="memname">
4462 <tr>
4463 <td class="memname">bool IsTransposeSupported </td>
4464 <td>(</td>
4465 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4466 <td class="paramname"><em>input</em>, </td>
4467 </tr>
4468 <tr>
4469 <td class="paramkey"></td>
4470 <td></td>
4471 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4472 <td class="paramname"><em>output</em>, </td>
4473 </tr>
4474 <tr>
4475 <td class="paramkey"></td>
4476 <td></td>
4477 <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a> &amp;&#160;</td>
4478 <td class="paramname"><em>descriptor</em>, </td>
4479 </tr>
4480 <tr>
4481 <td class="paramkey"></td>
4482 <td></td>
4483 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4484 <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>()</code>&#160;</td>
4485 </tr>
4486 <tr>
4487 <td></td>
4488 <td>)</td>
4489 <td></td><td> const</td>
4490 </tr>
4491 </table>
4492</div><div class="memdoc">
4493
4494<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01607">1607</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4495<div class="fragment"><div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>&#160;{</div>
4496<div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a1c3a39fbecb45be0bb15dd665c9be61d">ClTransposeWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div>
4497<div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>&#160;}</div>
4498</div><!-- fragment -->
4499<p class="reference">References <a class="el" href="_cl_transpose_workload_8cpp_source.html#l00017">armnn::ClTransposeWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4500
4501<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4502
4503</div>
4504</div>
4505<a id="a8bf8e20faa2d906c0c84fc7b88bad67a"></a>
4506<h2 class="memtitle"><span class="permalink"><a href="#a8bf8e20faa2d906c0c84fc7b88bad67a">&#9670;&nbsp;</a></span>IsUnidirectionalSequenceLstmSupported()</h2>
4507
4508<div class="memitem">
4509<div class="memproto">
4510 <table class="memname">
4511 <tr>
4512 <td class="memname">bool IsUnidirectionalSequenceLstmSupported </td>
4513 <td>(</td>
4514 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4515 <td class="paramname"><em>input</em>, </td>
4516 </tr>
4517 <tr>
4518 <td class="paramkey"></td>
4519 <td></td>
4520 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4521 <td class="paramname"><em>outputStateIn</em>, </td>
4522 </tr>
4523 <tr>
4524 <td class="paramkey"></td>
4525 <td></td>
4526 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4527 <td class="paramname"><em>cellStateIn</em>, </td>
4528 </tr>
4529 <tr>
4530 <td class="paramkey"></td>
4531 <td></td>
4532 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4533 <td class="paramname"><em>outputStateOut</em>, </td>
4534 </tr>
4535 <tr>
4536 <td class="paramkey"></td>
4537 <td></td>
4538 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4539 <td class="paramname"><em>cellStateOut</em>, </td>
4540 </tr>
4541 <tr>
4542 <td class="paramkey"></td>
4543 <td></td>
4544 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;&#160;</td>
4545 <td class="paramname"><em>output</em>, </td>
4546 </tr>
4547 <tr>
4548 <td class="paramkey"></td>
4549 <td></td>
4550 <td class="paramtype">const <a class="el" href="namespacearmnn.html#ae6c5f1b51bd32133c4dcc632045d6b58">UnidirectionalSequenceLstmDescriptor</a> &amp;&#160;</td>
4551 <td class="paramname"><em>descriptor</em>, </td>
4552 </tr>
4553 <tr>
4554 <td class="paramkey"></td>
4555 <td></td>
4556 <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a> &amp;&#160;</td>
4557 <td class="paramname"><em>paramsInfo</em>, </td>
4558 </tr>
4559 <tr>
4560 <td class="paramkey"></td>
4561 <td></td>
4562 <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; std::string &amp; &gt;&#160;</td>
4563 <td class="paramname"><em>reasonIfUnsupported</em>&#160;</td>
4564 </tr>
4565 <tr>
4566 <td></td>
4567 <td>)</td>
4568 <td></td><td> const</td>
4569 </tr>
4570 </table>
4571</div><div class="memdoc">
4572
4573<p class="definition">Definition at line <a class="el" href="_cl_layer_support_8cpp_source.html#l01615">1615</a> of file <a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a>.</p>
4574<div class="fragment"><div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>&#160;{</div>
4575<div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>&#160; <a class="code" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a096a87912dc4886d0ef6ed192daa5180">ClUnidirectionalSequenceLstmFloatWorkloadValidate</a>,</div>
4576<div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>&#160; reasonIfUnsupported,</div>
4577<div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>&#160; input,</div>
4578<div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>&#160; outputStateIn,</div>
4579<div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>&#160; cellStateIn,</div>
4580<div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>&#160; outputStateOut,</div>
4581<div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>&#160; cellStateOut,</div>
4582<div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>&#160; output,</div>
4583<div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>&#160; descriptor,</div>
4584<div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>&#160; paramsInfo);</div>
4585<div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>&#160;}</div>
4586</div><!-- fragment -->
4587<p class="reference">References <a class="el" href="_cl_unidirectional_sequence_lstm_float_workload_8cpp_source.html#l00508">armnn::ClUnidirectionalSequenceLstmFloatWorkloadValidate()</a>, and <a class="el" href="_cl_layer_support_8cpp_source.html#l00153">FORWARD_WORKLOAD_VALIDATE_FUNC</a>.</p>
4588
4589<p class="reference">Referenced by <a class="el" href="_cl_layer_support_8cpp_source.html#l00189">ClLayerSupport::IsLayerSupported()</a>.</p>
4590
4591</div>
4592</div>
4593<hr/>The documentation for this class was generated from the following files:<ul>
4594<li>src/backends/cl/<a class="el" href="_cl_layer_support_8hpp_source.html">ClLayerSupport.hpp</a></li>
4595<li>src/backends/cl/<a class="el" href="_cl_layer_support_8cpp_source.html">ClLayerSupport.cpp</a></li>
4596</ul>
4597</div><!-- contents -->
4598</div><!-- doc-content -->
4599<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div>
4600<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a5e11a11243484e16c20247e3e0d4f890"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">armnn::ClLayerSupport::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const Pooling2dDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01326">ClLayerSupport.cpp:1326</a></div></div>
4601<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_aefe6105143396c8fd46f29266c63d948"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#aefe6105143396c8fd46f29266c63d948">armnn::ClLayerSupport::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;mean, const TensorInfo &amp;var, const TensorInfo &amp;beta, const TensorInfo &amp;gamma, const BatchNormalizationDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00758">ClLayerSupport.cpp:758</a></div></div>
4602<div class="ttc" id="anamespacearmnn_html_a64806be3c31d35b75546da7c6b6b46d0"><div class="ttname"><a href="namespacearmnn.html#a64806be3c31d35b75546da7c6b6b46d0">armnn::ClLogWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClLogWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_log_workload_8cpp_source.html#l00018">ClLogWorkload.cpp:18</a></div></div>
4603<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::BinaryOperation::Mul</a></div><div class="ttdeci">@ Mul</div></div>
4604<div class="ttc" id="anamespacearmnn_html_a3f6f9f0d3567ae04b49ea88727845900"><div class="ttname"><a href="namespacearmnn.html#a3f6f9f0d3567ae04b49ea88727845900">armnn::ClRsqrtWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClRsqrtWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_rsqrt_workload_8cpp_source.html#l00018">ClRsqrtWorkload.cpp:18</a></div></div>
4605<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div>
4606<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::BinaryOperation::Add</a></div><div class="ttdeci">@ Add</div></div>
4607<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a68ddd3634fa7ce3a1eea8d7cc5adc9f0"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">armnn::ClLayerSupport::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01267">ClLayerSupport.cpp:1267</a></div></div>
4608<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div><div class="ttdeci">@ Splitter</div></div>
4609<div class="ttc" id="anamespacearmnn_html_a8874961260f35da85229554f92e16ca9"><div class="ttname"><a href="namespacearmnn.html#a8874961260f35da85229554f92e16ca9">armnn::ClFloorWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClFloorWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_floor_float_workload_8cpp_source.html#l00014">ClFloorFloatWorkload.cpp:14</a></div></div>
4610<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div>
4611<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a98b405bfcfb15d1aa09042ffc370f370"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370">armnn::ClLayerSupport::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const TensorInfo &amp;input, const TensorInfo &amp;alpha, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01342">ClLayerSupport.cpp:1342</a></div></div>
4612<div class="ttc" id="anamespacearmnn_html_afa9933f1d9de469ffba5ba0fcee769f8"><div class="ttname"><a href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">armnn::ClSubtractionValidate</a></div><div class="ttdeci">arm_compute::Status ClSubtractionValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_subtraction_workload_8cpp_source.html#l00046">ClSubtractionWorkload.cpp:46</a></div></div>
4613<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a0e7afe178736bc0844695e051d12be51"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51">armnn::ClLayerSupport::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const Convolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00896">ClLayerSupport.cpp:896</a></div></div>
4614<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ad5adeb0c9d1cf403d5cd2eadf4585155"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">armnn::ClLayerSupport::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const TensorInfo &amp;input, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;scratchBuffer, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const LstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01219">ClLayerSupport.cpp:1219</a></div></div>
4615<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ab56e4c49e3cbd6b486b4a9e6b89e6e0c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">armnn::ClLayerSupport::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const std::vector&lt; const TensorInfo * &gt; inputs, const TensorInfo &amp;output, const OriginsDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00827">ClLayerSupport.cpp:827</a></div></div>
4616<div class="ttc" id="anamespacearmnn_html_a9c1b478e30a1e8a4ecac874cf15f13d4"><div class="ttname"><a href="namespacearmnn.html#a9c1b478e30a1e8a4ecac874cf15f13d4">armnn::ClQuantizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQuantizeWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantize_workload_8cpp_source.html#l00022">ClQuantizeWorkload.cpp:22</a></div></div>
4617<div class="ttc" id="anamespacearmnn_html_a719ea81939d6a25f8636b52c59165d66"><div class="ttname"><a href="namespacearmnn.html#a719ea81939d6a25f8636b52c59165d66">armnn::ClTransposeConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClTransposeConvolution2dWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TransposeConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_transpose_convolution2d_workload_8cpp_source.html#l00026">ClTransposeConvolution2dWorkload.cpp:26</a></div></div>
4618<div class="ttc" id="anamespacearmnn_html_a7f82264f26183ae3c66390e33be14ec6"><div class="ttname"><a href="namespacearmnn.html#a7f82264f26183ae3c66390e33be14ec6">armnn::ClCastValidate</a></div><div class="ttdeci">arm_compute::Status ClCastValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_cast_workload_8cpp_source.html#l00020">ClCastWorkload.cpp:20</a></div></div>
4619<div class="ttc" id="a_cl_layer_support_8cpp_html_af0383f6bb43d6d5df6f3265367b6ebf9"><div class="ttname"><a href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a></div><div class="ttdeci">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported,...)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00153">ClLayerSupport.cpp:153</a></div></div>
4620<div class="ttc" id="anamespacearmnn_html_a157e0508f6d6d08e3ca4cf6c661242e6"><div class="ttname"><a href="namespacearmnn.html#a157e0508f6d6d08e3ca4cf6c661242e6">armnn::ClStridedSliceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClStridedSliceWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const StridedSliceDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_strided_slice_workload_8cpp_source.html#l00027">ClStridedSliceWorkload.cpp:27</a></div></div>
4621<div class="ttc" id="anamespacearmnn_html_a9831849c09391e90e50de46e2ee16403"><div class="ttname"><a href="namespacearmnn.html#a9831849c09391e90e50de46e2ee16403">armnn::ClExpWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClExpWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_exp_workload_8cpp_source.html#l00018">ClExpWorkload.cpp:18</a></div></div>
4622<div class="ttc" id="anamespacearmnn_html_a553706c6338ffc52b0d916859f642587"><div class="ttname"><a href="namespacearmnn.html#a553706c6338ffc52b0d916859f642587">armnn::ClMaximumWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMaximumWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_maximum_workload_8cpp_source.html#l00024">ClMaximumWorkload.cpp:24</a></div></div>
4623<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_afaadd7f7db4d8827890b4cedaf3bac8e"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e">armnn::ClLayerSupport::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00717">ClLayerSupport.cpp:717</a></div></div>
4624<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a22cfc1d5f68bd32db0aa126e8fd9e615"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">armnn::ClLayerSupport::IsBatchMatMulSupported</a></div><div class="ttdeci">bool IsBatchMatMulSupported(const TensorInfo &amp;inputX, const TensorInfo &amp;inputY, const TensorInfo &amp;output, const BatchMatMulDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00743">ClLayerSupport.cpp:743</a></div></div>
4625<div class="ttc" id="anamespacearmnn_html_a9638165cb6c1baae3b2b5fd9f0f75201"><div class="ttname"><a href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">armnn::ClMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMultiplicationWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_multiplication_workload_8cpp_source.html#l00018">ClMultiplicationWorkload.cpp:18</a></div></div>
4626<div class="ttc" id="anamespacearmnn_html_adc7c6ed4375eb58ea8fa20d6ec704a27"><div class="ttname"><a href="namespacearmnn.html#adc7c6ed4375eb58ea8fa20d6ec704a27">armnn::ClGatherNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClGatherNdWorkloadValidate(const TensorInfo &amp;paramsInfo, const TensorInfo &amp;indicesInfo, const TensorInfo &amp;outputInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_gather_nd_workload_8cpp_source.html#l00016">ClGatherNdWorkload.cpp:16</a></div></div>
4627<div class="ttc" id="anamespacearmnn_html_a4fa3292a277dde3b46be6a44b2de9713"><div class="ttname"><a href="namespacearmnn.html#a4fa3292a277dde3b46be6a44b2de9713">armnn::ClSpaceToDepthWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const SpaceToDepthDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_space_to_depth_workload_8cpp_source.html#l00054">ClSpaceToDepthWorkload.cpp:54</a></div></div>
4628<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div>
4629<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div>
4630<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a3a8e66320bb329f751e0f08fa970cd61"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a3a8e66320bb329f751e0f08fa970cd61">armnn::ClLayerSupport::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01243">ClLayerSupport.cpp:1243</a></div></div>
4631<div class="ttc" id="anamespacearmnn_html_a3ac8a60f837b19b20987e4fd238ce0cd"><div class="ttname"><a href="namespacearmnn.html#a3ac8a60f837b19b20987e4fd238ce0cd">armnn::ClSplitterWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSplitterWorkloadValidate(const TensorInfo &amp;input, const std::vector&lt; std::reference_wrapper&lt; TensorInfo &gt;&gt; &amp;outputs, unsigned int splitAxis)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_splitter_workload_8cpp_source.html#l00032">ClSplitterWorkload.cpp:32</a></div></div>
4632<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a963c34790fb5214b51b16b69d36fe3c8"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">armnn::ClLayerSupport::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const ActivationDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00705">ClLayerSupport.cpp:705</a></div></div>
4633<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a></div><div class="ttdeci">@ Floor</div></div>
4634<div class="ttc" id="anamespacearmnn_html_ae6c5f1b51bd32133c4dcc632045d6b58"><div class="ttname"><a href="namespacearmnn.html#ae6c5f1b51bd32133c4dcc632045d6b58">armnn::UnidirectionalSequenceLstmDescriptor</a></div><div class="ttdeci">LstmDescriptor UnidirectionalSequenceLstmDescriptor</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01169">Descriptors.hpp:1169</a></div></div>
4635<div class="ttc" id="anamespacearmnn_html_a096a87912dc4886d0ef6ed192daa5180"><div class="ttname"><a href="namespacearmnn.html#a096a87912dc4886d0ef6ed192daa5180">armnn::ClUnidirectionalSequenceLstmFloatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClUnidirectionalSequenceLstmFloatWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const UnidirectionalSequenceLstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_unidirectional_sequence_lstm_float_workload_8cpp_source.html#l00508">ClUnidirectionalSequenceLstmFloatWorkload.cpp:508</a></div></div>
4636<div class="ttc" id="anamespacearmnn_html_ae87476befb36d9cc4fb926337ba65b5d"><div class="ttname"><a href="namespacearmnn.html#ae87476befb36d9cc4fb926337ba65b5d">armnn::ClBatchToSpaceNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const BatchToSpaceNdDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_to_space_nd_workload_8cpp_source.html#l00017">ClBatchToSpaceNdWorkload.cpp:17</a></div></div>
4637<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div>
4638<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div>
4639<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a3b1efcbd2ac79d53fa0db56831095cd6"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6">armnn::ClLayerSupport::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01300">ClLayerSupport.cpp:1300</a></div></div>
4640<div class="ttc" id="anamespacearmnn_html_a7900acef495ac8033a08d3ed74f06970"><div class="ttname"><a href="namespacearmnn.html#a7900acef495ac8033a08d3ed74f06970">armnn::ClLogicalAndWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClLogicalAndWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_logical_and_workload_8cpp_source.html#l00020">ClLogicalAndWorkload.cpp:20</a></div></div>
4641<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div><div class="ttdeci">@ Comparison</div></div>
4642<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a8e778f7b99b33e242145ff2319ae585c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">armnn::ClLayerSupport::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const DepthwiseConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00984">ClLayerSupport.cpp:984</a></div></div>
4643<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a649ebe27288d2e62ed0069c0f1d941b8"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8">armnn::ClLayerSupport::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const PadDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01306">ClLayerSupport.cpp:1306</a></div></div>
4644<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a6bb173cc16cd16909254787311c19995"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a6bb173cc16cd16909254787311c19995">armnn::ClLayerSupport::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;weights, const TensorInfo &amp;biases, const FullyConnectedDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01106">ClLayerSupport.cpp:1106</a></div></div>
4645<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div>
4646<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a83f61b022e9544d0c1f5110cd28ae502"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">armnn::ClLayerSupport::IsLogicalBinarySupported</a></div><div class="ttdeci">bool IsLogicalBinarySupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const LogicalBinaryDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01179">ClLayerSupport.cpp:1179</a></div></div>
4647<div class="ttc" id="anamespacearmnn_html_ab3624c723d9a0ec93722b19060b76115"><div class="ttname"><a href="namespacearmnn.html#ab3624c723d9a0ec93722b19060b76115">armnn::ClDepthToSpaceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDepthToSpaceWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const DepthToSpaceDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depth_to_space_workload_8cpp_source.html#l00022">ClDepthToSpaceWorkload.cpp:22</a></div></div>
4648<div class="ttc" id="anamespacearmnn_html_a42ef3cee193102dc7755193579209cca"><div class="ttname"><a href="namespacearmnn.html#a42ef3cee193102dc7755193579209cca">armnn::ClActivationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClActivationWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const ActivationDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_activation_workload_8cpp_source.html#l00017">ClActivationWorkload.cpp:17</a></div></div>
4649<div class="ttc" id="anamespacearmnn_html_a048a8ea8b1b39343a73ca7458024ea54"><div class="ttname"><a href="namespacearmnn.html#a048a8ea8b1b39343a73ca7458024ea54">armnn::ClMeanValidate</a></div><div class="ttdeci">arm_compute::Status ClMeanValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const MeanDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_mean_workload_8cpp_source.html#l00017">ClMeanWorkload.cpp:17</a></div></div>
4650<div class="ttc" id="anamespacearmnn_html_a374539d87fe79db6ab505524a0830d1f"><div class="ttname"><a href="namespacearmnn.html#a374539d87fe79db6ab505524a0830d1f">armnn::ClElementwiseBinaryValidate</a></div><div class="ttdeci">arm_compute::Status ClElementwiseBinaryValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ElementwiseBinaryDescriptor &amp;descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_elementwise_binary_workload_8cpp_source.html#l00064">ClElementwiseBinaryWorkload.cpp:64</a></div></div>
4651<div class="ttc" id="anamespacearmnn_html_a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247"><div class="ttname"><a href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a></div><div class="ttdeci">@ LogicalOr</div></div>
4652<div class="ttc" id="a_deprecated_8hpp_html_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.html#l00033">Deprecated.hpp:33</a></div></div>
4653<div class="ttc" id="anamespacearmnn_html_a02e646180897aca9fcbc02d16efdd784"><div class="ttname"><a href="namespacearmnn.html#a02e646180897aca9fcbc02d16efdd784">armnn::ClChannelShuffleValidate</a></div><div class="ttdeci">arm_compute::Status ClChannelShuffleValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const ChannelShuffleDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_channel_shuffle_workload_8cpp_source.html#l00020">ClChannelShuffleWorkload.cpp:20</a></div></div>
4654<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::LayerType::Tile</a></div><div class="ttdeci">@ Tile</div></div>
4655<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_af77622c468f95d7cbc05b7d6f6e83830"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">armnn::ClLayerSupport::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const NormalizationDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01292">ClLayerSupport.cpp:1292</a></div></div>
4656<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_aa253f9963038f4d68877caf6a9a091b4"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">armnn::ClLayerSupport::IsReduceSupported</a></div><div class="ttdeci">bool IsReduceSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const ReduceDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01412">ClLayerSupport.cpp:1412</a></div></div>
4657<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div><div class="ttdeci">@ Stack</div></div>
4658<div class="ttc" id="anamespacearmnn_html_a18c7eef8533ca0acbbe081cd1a1fec98"><div class="ttname"><a href="namespacearmnn.html#a18c7eef8533ca0acbbe081cd1a1fec98">armnn::ClFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, const FullyConnectedDescriptor &amp;descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_fully_connected_workload_8cpp_source.html#l00019">ClFullyConnectedWorkload.cpp:19</a></div></div>
4659<div class="ttc" id="anamespacearmnn_html_a61cf0886d4c1a6e24c101a57ccb2ec31"><div class="ttname"><a href="namespacearmnn.html#a61cf0886d4c1a6e24c101a57ccb2ec31">armnn::ClConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvolution2dWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const Convolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8cpp_source.html#l00023">ClConvolution2dWorkload.cpp:23</a></div></div>
4660<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</div></div>
4661<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a29d47a3b7a5f312d858c2a1c67905a83"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">armnn::ClLayerSupport::IsSliceSupported</a></div><div class="ttdeci">bool IsSliceSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const SliceDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01469">ClLayerSupport.cpp:1469</a></div></div>
4662<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</div></div>
4663<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">armnn::UnaryOperation::Neg</a></div><div class="ttdeci">@ Neg</div></div>
4664<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div>
4665<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div>
4666<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div>
4667<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_abc2d31208c6bcced31369b024eee3b65"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#abc2d31208c6bcced31369b024eee3b65">armnn::ClLayerSupport::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const SoftmaxDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01477">ClLayerSupport.cpp:1477</a></div></div>
4668<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</a></div><div class="ttdeci">@ GatherNd</div></div>
4669<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a007299b48d001bbdaefe525566b21c8e"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a007299b48d001bbdaefe525566b21c8e">armnn::ClLayerSupport::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const MeanDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01255">ClLayerSupport.cpp:1255</a></div></div>
4670<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>
4671<div class="ttc" id="anamespacearmnn_html_aef334cdb24000c330f4d2e5f1b384784"><div class="ttname"><a href="namespacearmnn.html#aef334cdb24000c330f4d2e5f1b384784">armnn::ClL2NormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const L2NormalizationDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_l2_normalization_float_workload_8cpp_source.html#l00017">ClL2NormalizationFloatWorkload.cpp:17</a></div></div>
4672<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_abe9e711bd5dc9844369d4c706e0d8b0a"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a">armnn::ClLayerSupport::IsChannelShuffleSupported</a></div><div class="ttdeci">bool IsChannelShuffleSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const ChannelShuffleDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00801">ClLayerSupport.cpp:801</a></div></div>
4673<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ab4684a5f416ac243a4519f54e683b535"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ab4684a5f416ac243a4519f54e683b535">armnn::ClLayerSupport::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00876">ClLayerSupport.cpp:876</a></div></div>
4674<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_aca92095e6a26d7f451042795afabea5b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#aca92095e6a26d7f451042795afabea5b">armnn::ClLayerSupport::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01096">ClLayerSupport.cpp:1096</a></div></div>
4675<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div>
4676<div class="ttc" id="anamespacearmnn_html_a24fc3e8e29d3fa56cc6b2d81e48625d1"><div class="ttname"><a href="namespacearmnn.html#a24fc3e8e29d3fa56cc6b2d81e48625d1">armnn::ClAdditionValidate</a></div><div class="ttdeci">arm_compute::Status ClAdditionValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_addition_workload_8cpp_source.html#l00045">ClAdditionWorkload.cpp:45</a></div></div>
4677<div class="ttc" id="anamespacearmnn_html_a66a3a6c05b38e48508bbbb3f32023ab7"><div class="ttname"><a href="namespacearmnn.html#a66a3a6c05b38e48508bbbb3f32023ab7">armnn::ClNegWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClNegWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_neg_workload_8cpp_source.html#l00018">ClNegWorkload.cpp:18</a></div></div>
4678<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a7c739d08cf4fe3f9adef635be0544362"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a7c739d08cf4fe3f9adef635be0544362">armnn::ClLayerSupport::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01402">ClLayerSupport.cpp:1402</a></div></div>
4679<div class="ttc" id="anamespacearmnn_html_a8cdb508cb0ebc06e39dc1661815d73b0"><div class="ttname"><a href="namespacearmnn.html#a8cdb508cb0ebc06e39dc1661815d73b0">armnn::ClQLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQLstmWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;output, const QLstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_q_lstm_workload_8cpp_source.html#l00247">ClQLstmWorkload.cpp:247</a></div></div>
4680<div class="ttc" id="anamespacearmnn_html_a4c42dfd9db4a47e470b5800bb11a8374"><div class="ttname"><a href="namespacearmnn.html#a4c42dfd9db4a47e470b5800bb11a8374">armnn::ClReduceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClReduceWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const ReduceDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_reduce_workload_8cpp_source.html#l00018">ClReduceWorkload.cpp:18</a></div></div>
4681<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div><div class="ttdeci">@ Slice</div></div>
4682<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a030c7a65a5c26b93c57b30e3c9d6a80b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b">armnn::ClLayerSupport::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01279">ClLayerSupport.cpp:1279</a></div></div>
4683<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a161bd30613088b5f2c8d4f5234ceacea"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">armnn::ClLayerSupport::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const TransposeConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01591">ClLayerSupport.cpp:1591</a></div></div>
4684<div class="ttc" id="anamespacearmnn_html_a2f5c2e8794174361f2308f4a0d3f9c73"><div class="ttname"><a href="namespacearmnn.html#a2f5c2e8794174361f2308f4a0d3f9c73">armnn::ClConstantWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConstantWorkloadValidate(const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_constant_workload_8cpp_source.html#l00018">ClConstantWorkload.cpp:18</a></div></div>
4685<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a></div><div class="ttdeci">@ Maximum</div></div>
4686<div class="ttc" id="anamespacearmnn_html_a26c25df9e2271333ab4d4ef71db41dca"><div class="ttname"><a href="namespacearmnn.html#a26c25df9e2271333ab4d4ef71db41dca">armnn::ClPermuteWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClPermuteWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const PermuteDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_permute_workload_8cpp_source.html#l00017">ClPermuteWorkload.cpp:17</a></div></div>
4687<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a96f76305323bd5f2c9f8e2850a327f95"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95">armnn::ClLayerSupport::IsInstanceNormalizationSupported</a></div><div class="ttdeci">bool IsInstanceNormalizationSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const InstanceNormalizationDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01155">ClLayerSupport.cpp:1155</a></div></div>
4688<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div><div class="ttdeci">@ ChannelShuffle</div></div>
4689<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">armnn::BinaryOperation::SqDiff</a></div><div class="ttdeci">@ SqDiff</div></div>
4690<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::UnaryOperation::Rsqrt</a></div><div class="ttdeci">@ Rsqrt</div></div>
4691<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_abd0c6ea3807227b94374ff321a47284d"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#abd0c6ea3807227b94374ff321a47284d">armnn::ClLayerSupport::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const SpaceToDepthDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01497">ClLayerSupport.cpp:1497</a></div></div>
4692<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ae96fb1672cadd4e9b87809004799b6da"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">armnn::ClLayerSupport::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const ReshapeDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01424">ClLayerSupport.cpp:1424</a></div></div>
4693<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">armnn::UnaryOperation::Sqrt</a></div><div class="ttdeci">@ Sqrt</div></div>
4694<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div><div class="ttdeci">@ LogicalNot</div></div>
4695<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div>
4696<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div>
4697<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b">armnn::LayerType::ScatterNd</a></div><div class="ttdeci">@ ScatterNd</div></div>
4698<div class="ttc" id="anamespacearmnn_html_a95b187d3c6b7b46f4fbdc60be69fc02c"><div class="ttname"><a href="namespacearmnn.html#a95b187d3c6b7b46f4fbdc60be69fc02c">armnn::ClResizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClResizeWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const ResizeDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_resize_workload_8cpp_source.html#l00022">ClResizeWorkload.cpp:22</a></div></div>
4699<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div><div class="ttdeci">@ LogicalBinary</div></div>
4700<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div>
4701<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">armnn::UnaryOperation::Exp</a></div><div class="ttdeci">@ Exp</div></div>
4702<div class="ttc" id="anamespacearmnn_html_a85776d92e056832a524c6f2cf4741ced"><div class="ttname"><a href="namespacearmnn.html#a85776d92e056832a524c6f2cf4741ced">armnn::ClPooling3dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClPooling3dWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const Pooling3dDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_pooling3d_workload_8cpp_source.html#l00018">ClPooling3dWorkload.cpp:18</a></div></div>
4703<div class="ttc" id="anamespacearmnn_html_a776783e716aa3dd5975c72696d0b7abb"><div class="ttname"><a href="namespacearmnn.html#a776783e716aa3dd5975c72696d0b7abb">armnn::ClStackWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClStackWorkloadValidate(const std::vector&lt; const TensorInfo * &gt; &amp;inputs, const TensorInfo &amp;output, const StackDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_stack_workload_8cpp_source.html#l00029">ClStackWorkload.cpp:29</a></div></div>
4704<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div>
4705<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a></div><div class="ttdeci">@ Merge</div></div>
4706<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>
4707<div class="ttc" id="anamespacearmnn_html_aa4e89c644c511e255f6a7ecbd5d14686"><div class="ttname"><a href="namespacearmnn.html#aa4e89c644c511e255f6a7ecbd5d14686">armnn::PolymorphicDowncast</a></div><div class="ttdeci">DestType PolymorphicDowncast(SourceType *value)</div><div class="ttdoc">Polymorphic downcast for build in pointers only.</div><div class="ttdef"><b>Definition:</b> <a href="_polymorphic_downcast_8hpp_source.html#l00074">PolymorphicDowncast.hpp:74</a></div></div>
4708<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a8bf8e20faa2d906c0c84fc7b88bad67a"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a8bf8e20faa2d906c0c84fc7b88bad67a">armnn::ClLayerSupport::IsUnidirectionalSequenceLstmSupported</a></div><div class="ttdeci">bool IsUnidirectionalSequenceLstmSupported(const TensorInfo &amp;input, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const UnidirectionalSequenceLstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo, Optional&lt; std::string &amp; &gt; reasonIfUnsupported) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01615">ClLayerSupport.cpp:1615</a></div></div>
4709<div class="ttc" id="anamespacearmnn_html_af6f6476c5d1c4c85153020f5229ebd14"><div class="ttname"><a href="namespacearmnn.html#af6f6476c5d1c4c85153020f5229ebd14">armnn::ClComparisonWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClComparisonWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ComparisonDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_comparison_workload_8cpp_source.html#l00024">ClComparisonWorkload.cpp:24</a></div></div>
4710<div class="ttc" id="anamespacearmnn_html_a44d0d727df44d696742871b343db5757"><div class="ttname"><a href="namespacearmnn.html#a44d0d727df44d696742871b343db5757">armnn::ClTileWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClTileWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TileDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_tile_workload_8cpp_source.html#l00016">ClTileWorkload.cpp:16</a></div></div>
4711<div class="ttc" id="aclassarmnn_1_1_layer_support_base_html_a21fd6e1714d62eb57f7e31e3ccaaa152"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.html#a21fd6e1714d62eb57f7e31e3ccaaa152">armnn::LayerSupportBase::IsMergeSupported</a></div><div class="ttdeci">bool IsMergeSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.html#l00112">LayerSupportBase.cpp:112</a></div></div>
4712<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_abdd824d4e7e43e8a8738955fe570ada0"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#abdd824d4e7e43e8a8738955fe570ada0">armnn::ClLayerSupport::IsComparisonSupported</a></div><div class="ttdeci">bool IsComparisonSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;ouput, const ComparisonDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00813">ClLayerSupport.cpp:813</a></div></div>
4713<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">armnn::UnaryOperation::Sin</a></div><div class="ttdeci">@ Sin</div></div>
4714<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div><div class="ttdeci">@ Quantize</div></div>
4715<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a677818beaa9f767c7fb0442fb9db2881"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">armnn::ClLayerSupport::IsPooling3dSupported</a></div><div class="ttdeci">bool IsPooling3dSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const Pooling3dDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01334">ClLayerSupport.cpp:1334</a></div></div>
4716<div class="ttc" id="aclassarmnn_1_1_layer_support_base_html_a081cfb99e9e5b240f8b151f0a7090431"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.html#a081cfb99e9e5b240f8b151f0a7090431">armnn::LayerSupportBase::IsMemImportSupported</a></div><div class="ttdeci">bool IsMemImportSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.html#l00105">LayerSupportBase.cpp:105</a></div></div>
4717<div class="ttc" id="anamespacearmnn_html_a37f6946bfb7a9c7d64881b7a2e13945f"><div class="ttname"><a href="namespacearmnn.html#a37f6946bfb7a9c7d64881b7a2e13945f">armnn::ClConvertFp32ToFp16WorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvertFp32ToFp16WorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convert_fp32_to_fp16_workload_8cpp_source.html#l00044">ClConvertFp32ToFp16Workload.cpp:44</a></div></div>
4718<div class="ttc" id="anamespacearmnn_html_a1c3a39fbecb45be0bb15dd665c9be61d"><div class="ttname"><a href="namespacearmnn.html#a1c3a39fbecb45be0bb15dd665c9be61d">armnn::ClTransposeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClTransposeWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TransposeDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_transpose_workload_8cpp_source.html#l00017">ClTransposeWorkload.cpp:17</a></div></div>
4719<div class="ttc" id="anamespacearmnn_html_a49d6ee4e08176ca6afcc0e53f61e8075"><div class="ttname"><a href="namespacearmnn.html#a49d6ee4e08176ca6afcc0e53f61e8075">armnn::ClScatterNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClScatterNdWorkloadValidate(const TensorInfo &amp;inputInfo, const TensorInfo &amp;indicesInfo, const TensorInfo &amp;updatesInfo, const TensorInfo &amp;outputInfo, const ScatterNdDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_scatter_nd_workload_8cpp_source.html#l00020">ClScatterNdWorkload.cpp:20</a></div></div>
4720<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div>
4721<div class="ttc" id="anamespacearmnn_html_abc6f7e5fe77e5aed3f7842755dd34073"><div class="ttname"><a href="namespacearmnn.html#abc6f7e5fe77e5aed3f7842755dd34073">armnn::ClSoftmaxWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSoftmaxWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const SoftmaxDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_softmax_workload_8cpp_source.html#l00017">ClSoftmaxWorkload.cpp:17</a></div></div>
4722<div class="ttc" id="anamespacearmnn_html_a71d44017e7d06987e1206a26d9ec09ea"><div class="ttname"><a href="namespacearmnn.html#a71d44017e7d06987e1206a26d9ec09ea">armnn::ClReverseV2WorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClReverseV2WorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;axis, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_reverse_v2_workload_8cpp_source.html#l00016">ClReverseV2Workload.cpp:16</a></div></div>
4723<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div>
4724<div class="ttc" id="anamespacearmnn_html_adcf7b7d939bac1cfaeb333c7b3175bb8"><div class="ttname"><a href="namespacearmnn.html#adcf7b7d939bac1cfaeb333c7b3175bb8">armnn::ClPadValidate</a></div><div class="ttdeci">arm_compute::Status ClPadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const PadDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_pad_workload_8cpp_source.html#l00062">ClPadWorkload.cpp:62</a></div></div>
4725<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a1a431d200c1ab85913cac36539d9ca3b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">armnn::ClLayerSupport::IsTransposeSupported</a></div><div class="ttdeci">bool IsTransposeSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const TransposeDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01607">ClLayerSupport.cpp:1607</a></div></div>
4726<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a27b8700a838b8018acb22cf38570b997"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a27b8700a838b8018acb22cf38570b997">armnn::ClLayerSupport::IsTileSupported</a></div><div class="ttdeci">bool IsTileSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const TileDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01579">ClLayerSupport.cpp:1579</a></div></div>
4727<div class="ttc" id="anamespacearmnn_html_a79d362f0c6e04d51807e0d81b5b05f3a"><div class="ttname"><a href="namespacearmnn.html#a79d362f0c6e04d51807e0d81b5b05f3a">armnn::ClInstanceNormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const InstanceNormalizationDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_instance_normalization_workload_8cpp_source.html#l00018">ClInstanceNormalizationWorkload.cpp:18</a></div></div>
4728<div class="ttc" id="anamespacearmnn_html_aff9e3b78a938c14a4420ce6365b997fb"><div class="ttname"><a href="namespacearmnn.html#aff9e3b78a938c14a4420ce6365b997fb">armnn::ClGatherWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClGatherWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;indices, const TensorInfo &amp;output, const GatherDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_gather_workload_8cpp_source.html#l00015">ClGatherWorkload.cpp:15</a></div></div>
4729<div class="ttc" id="anamespacearmnn_html_a6d85d2806d0a90140832ad8113c1d350"><div class="ttname"><a href="namespacearmnn.html#a6d85d2806d0a90140832ad8113c1d350">armnn::ClSliceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSliceWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const SliceDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_slice_workload_8cpp_source.html#l00018">ClSliceWorkload.cpp:18</a></div></div>
4730<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div><div class="ttdeci">@ DepthToSpace</div></div>
4731<div class="ttc" id="anamespacearmnn_html_a21911dfddb6d7787c7afcdc5fc25d4a7"><div class="ttname"><a href="namespacearmnn.html#a21911dfddb6d7787c7afcdc5fc25d4a7">armnn::ClBatchMatMulValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchMatMulValidate(const TensorInfo &amp;inputInfoX, const TensorInfo &amp;inputInfoY, const TensorInfo &amp;outputInfo, const BatchMatMulDescriptor &amp;descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_mat_mul_workload_8cpp_source.html#l00024">ClBatchMatMulWorkload.cpp:24</a></div></div>
4732<div class="ttc" id="anamespacearmnn_html_a90ab88fe4c7aa9466c4653404a6b2213"><div class="ttname"><a href="namespacearmnn.html#a90ab88fe4c7aa9466c4653404a6b2213">armnn::ClLstmFloatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClLstmFloatWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;scratchBuffer, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const LstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_lstm_float_workload_8cpp_source.html#l00244">ClLstmFloatWorkload.cpp:244</a></div></div>
4733<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">armnn::BinaryOperation::Power</a></div><div class="ttdeci">@ Power</div></div>
4734<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_aeef91cdb55b6cd1cbda03f42553fb861"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">armnn::ClLayerSupport::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const SpaceToBatchNdDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01485">ClLayerSupport.cpp:1485</a></div></div>
4735<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div>
4736<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>
4737<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_acc5b87bee8889258d7289f009e754d3d"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#acc5b87bee8889258d7289f009e754d3d">armnn::ClLayerSupport::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const L2NormalizationDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01167">ClLayerSupport.cpp:1167</a></div></div>
4738<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a40767d1d9169c7f9c1f1ef2f2aa87133"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133">armnn::ClLayerSupport::IsCastSupported</a></div><div class="ttdeci">bool IsCastSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00791">ClLayerSupport.cpp:791</a></div></div>
4739<div class="ttc" id="anamespacearmnn_html_a34e66b74a990db4b29ea4f904c69d7d9"><div class="ttname"><a href="namespacearmnn.html#a34e66b74a990db4b29ea4f904c69d7d9">armnn::ClSqrtWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSqrtWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_sqrt_workload_8cpp_source.html#l00019">ClSqrtWorkload.cpp:19</a></div></div>
4740<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div>
4741<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div><div class="ttdeci">@ Shape</div></div>
4742<div class="ttc" id="anamespacearmnn_html_a144c2e243a255715f309999077ed1792"><div class="ttname"><a href="namespacearmnn.html#a144c2e243a255715f309999077ed1792">armnn::ClNormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const NormalizationDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_normalization_float_workload_8cpp_source.html#l00019">ClNormalizationFloatWorkload.cpp:19</a></div></div>
4743<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_aac1281b0616904d20dc397cfc5984e8b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#aac1281b0616904d20dc397cfc5984e8b">armnn::ClLayerSupport::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01019">ClLayerSupport.cpp:1019</a></div></div>
4744<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div>
4745<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a9546ae76bc4ba8a05f1c441be22ae546"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546">armnn::ClLayerSupport::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const TensorInfo &amp;input, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01149">ClLayerSupport.cpp:1149</a></div></div>
4746<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a7ed10202fff7c54f2d5b27c3ecd21567"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">armnn::ClLayerSupport::IsDepthToSpaceSupported</a></div><div class="ttdeci">bool IsDepthToSpaceSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const DepthToSpaceDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00972">ClLayerSupport.cpp:972</a></div></div>
4747<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div>
4748<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div><div class="ttdeci">@ Gather</div></div>
4749<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a36da5a4ac8ecbf58821989af2c289e59"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">armnn::ClLayerSupport::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const ArgMinMaxDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00730">ClLayerSupport.cpp:730</a></div></div>
4750<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div>
4751<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ae8523c4d9b6c18744d46a98d4984a011"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">armnn::ClLayerSupport::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const BatchToSpaceNdDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00779">ClLayerSupport.cpp:779</a></div></div>
4752<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">armnn::UnaryOperation::Log</a></div><div class="ttdeci">@ Log</div></div>
4753<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div>
4754<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>
4755<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a734a989302f92b63d717f2ac395c3eb9"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">armnn::ClLayerSupport::IsElementwiseUnarySupported</a></div><div class="ttdeci">bool IsElementwiseUnarySupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const ElementwiseUnaryDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01032">ClLayerSupport.cpp:1032</a></div></div>
4756<div class="ttc" id="anamespacearmnn_html_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div><div class="ttdeci">@ LogicalAnd</div></div>
4757<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>
4758<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>
4759<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a85e08ffdec56499a2f78859229b51aa4"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">armnn::ClLayerSupport::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const ResizeDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01433">ClLayerSupport.cpp:1433</a></div></div>
4760<div class="ttc" id="aclassarmnn_1_1_layer_support_base_html_a4b423d2cd51bbfb363141d823cecf943"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.html#a4b423d2cd51bbfb363141d823cecf943">armnn::LayerSupportBase::IsShapeSupported</a></div><div class="ttdeci">bool IsShapeSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.html#l00131">LayerSupportBase.cpp:131</a></div></div>
4761<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div>
4762<div class="ttc" id="anamespacearmnn_html_a8a21bb33f7f054ce7b48a8c7df9e6d4a"><div class="ttname"><a href="namespacearmnn.html#a8a21bb33f7f054ce7b48a8c7df9e6d4a">armnn::ClPooling2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClPooling2dWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const Pooling2dDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_pooling2d_workload_8cpp_source.html#l00018">ClPooling2dWorkload.cpp:18</a></div></div>
4763<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ad557f8fa58e751c93cf271691834ca52"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ad557f8fa58e751c93cf271691834ca52">armnn::ClLayerSupport::IsFillSupported</a></div><div class="ttdeci">bool IsFillSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const FillDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01084">ClLayerSupport.cpp:1084</a></div></div>
4764<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a57927a58bc6bb87455b51a2786fe1b3b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">armnn::ClLayerSupport::IsConvolution3dSupported</a></div><div class="ttdeci">bool IsConvolution3dSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const Convolution3dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00929">ClLayerSupport.cpp:929</a></div></div>
4765<div class="ttc" id="anamespacearmnn_html_a8c04c8e796a4fbec706df42ed9c27e4e"><div class="ttname"><a href="namespacearmnn.html#a8c04c8e796a4fbec706df42ed9c27e4e">armnn::ClMinimumWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMinimumWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_minimum_workload_8cpp_source.html#l00024">ClMinimumWorkload.cpp:24</a></div></div>
4766<div class="ttc" id="anamespacearmnn_html_a534b28fd4b345bbc938d055ff5b8970f"><div class="ttname"><a href="namespacearmnn.html#a534b28fd4b345bbc938d055ff5b8970f">armnn::ClSpaceToBatchNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSpaceToBatchNdWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const SpaceToBatchNdDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_space_to_batch_nd_workload_8cpp_source.html#l00016">ClSpaceToBatchNdWorkload.cpp:16</a></div></div>
4767<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_aad6eabce66fdae7c3389450e9dc75df9"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#aad6eabce66fdae7c3389450e9dc75df9">armnn::ClLayerSupport::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const TensorInfo &amp;input, const TensorInfo &amp;previousCellStateIn, const TensorInfo &amp;previousOutputIn, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const QuantizedLstmInputParamsInfo &amp;paramsInfo, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01384">ClLayerSupport.cpp:1384</a></div></div>
4768<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a6e14b055cf3d72d4de0cc9f68616925c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c">armnn::ClLayerSupport::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01566">ClLayerSupport.cpp:1566</a></div></div>
4769<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>
4770<div class="ttc" id="a_deprecated_8hpp_html_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.html#l00034">Deprecated.hpp:34</a></div></div>
4771<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a5d06aa3102f630eeff127195693810e8"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a5d06aa3102f630eeff127195693810e8">armnn::ClLayerSupport::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const PermuteDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01318">ClLayerSupport.cpp:1318</a></div></div>
4772<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div>
4773<div class="ttc" id="anamespacearmnn_html_ae387b3587bcce82eb33623b300097a8c"><div class="ttname"><a href="namespacearmnn.html#ae387b3587bcce82eb33623b300097a8c">armnn::ClConvolution3dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvolution3dWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const Convolution3dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution3d_workload_8cpp_source.html#l00023">ClConvolution3dWorkload.cpp:23</a></div></div>
4774<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ad0bca4c0de78df48fd6e63a3b8239f57"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ad0bca4c0de78df48fd6e63a3b8239f57">armnn::ClLayerSupport::IsGatherNdSupported</a></div><div class="ttdeci">bool IsGatherNdSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01137">ClLayerSupport.cpp:1137</a></div></div>
4775<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div>
4776<div class="ttc" id="anamespacearmnn_html_a29bd65c1ec4ff9f75b636ec8e7b038be"><div class="ttname"><a href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be">armnn::ClBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchNormalizationValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;mean, const TensorInfo &amp;var, const TensorInfo &amp;beta, const TensorInfo &amp;gamma, const BatchNormalizationDescriptor &amp;descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00019">ClBatchNormalizationFloatWorkload.cpp:19</a></div></div>
4777<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div>
4778<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 &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div>
4779<div class="ttc" id="anamespacearmnn_html_a5fb7fe07abfb2373103d842b47a24726"><div class="ttname"><a href="namespacearmnn.html#a5fb7fe07abfb2373103d842b47a24726">armnn::ClQuantizedLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;previousCellStateIn, const TensorInfo &amp;previousOutputIn, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const QuantizedLstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantized_lstm_workload_8cpp_source.html#l00018">ClQuantizedLstmWorkload.cpp:18</a></div></div>
4780<div class="ttc" id="anamespacearmnn_html_a7071f5d6693d3014ddcb34c886ffc734"><div class="ttname"><a href="namespacearmnn.html#a7071f5d6693d3014ddcb34c886ffc734">armnn::ClLogSoftmaxWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClLogSoftmaxWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const LogSoftmaxDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_log_softmax_workload_8cpp_source.html#l00017">ClLogSoftmaxWorkload.cpp:17</a></div></div>
4781<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div><div class="ttdeci">@ Minimum</div></div>
4782<div class="ttc" id="anamespacearmnn_html_a0591ff61ac269187164ea23713d33852"><div class="ttname"><a href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">armnn::ClDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDivisionWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_division_workload_8cpp_source.html#l00018">ClDivisionWorkload.cpp:18</a></div></div>
4783<div class="ttc" id="anamespacearmnn_html_a0784b1fdac2844c5d6f331ab6e9af547"><div class="ttname"><a href="namespacearmnn.html#a0784b1fdac2844c5d6f331ab6e9af547">armnn::ClConcatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConcatWorkloadValidate(const std::vector&lt; const TensorInfo * &gt; &amp;inputs, const TensorInfo &amp;output, const OriginsDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_concat_workload_8cpp_source.html#l00027">ClConcatWorkload.cpp:27</a></div></div>
4784<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a9b9c3c80d296907362f8b407b6a20727"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">armnn::ClLayerSupport::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const TensorInfo &amp;input, const std::vector&lt; std::reference_wrapper&lt; TensorInfo &gt;&gt; &amp;outputs, const ViewsDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01509">ClLayerSupport.cpp:1509</a></div></div>
4785<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div>
4786<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::BinaryOperation::Minimum</a></div><div class="ttdeci">@ Minimum</div></div>
4787<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div>
4788<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::LayerType::ReverseV2</a></div><div class="ttdeci">@ ReverseV2</div></div>
4789<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a25adbaea31c52a55a1fa3afa7546be02"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02">armnn::ClLayerSupport::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00962">ClLayerSupport.cpp:962</a></div></div>
4790<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div>
4791<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div><div class="ttdeci">@ ArgMinMax</div></div>
4792<div class="ttc" id="anamespacearmnn_html_ae58d1f4437a779274037bc86efac9e26"><div class="ttname"><a href="namespacearmnn.html#ae58d1f4437a779274037bc86efac9e26">armnn::ClPreluWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClPreluWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;alpha, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_prelu_workload_8cpp_source.html#l00016">ClPreluWorkload.cpp:16</a></div></div>
4793<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_adc7c2b1e2d768d4c1c50ccf31950800b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#adc7c2b1e2d768d4c1c50ccf31950800b">armnn::ClLayerSupport::IsGatherSupported</a></div><div class="ttdeci">bool IsGatherSupported(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output, const GatherDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01123">ClLayerSupport.cpp:1123</a></div></div>
4794<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div>
4795<div class="ttc" id="anamespacearmnn_html_a2f68926d52d1aa3590bd467e041def05"><div class="ttname"><a href="namespacearmnn.html#a2f68926d52d1aa3590bd467e041def05">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set&lt; unsigned int &gt; ComputeSplitAxis(const armnn::SplitterDescriptor &amp;desc, const TensorShape &amp;input)</div><div class="ttdoc">Calculates the axis values for split operation.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00377">WorkloadUtils.cpp:377</a></div></div>
4796<div class="ttc" id="anamespacearmnn_html_ac5cd8464c73415025cb8c8f6ada74e15"><div class="ttname"><a href="namespacearmnn.html#ac5cd8464c73415025cb8c8f6ada74e15">armnn::ClSinWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSinWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_sin_workload_8cpp_source.html#l00018">ClSinWorkload.cpp:18</a></div></div>
4797<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div><div class="ttdeci">@ Rank</div></div>
4798<div class="ttc" id="anamespacearmnn_html_a1391582cd6e145b67c98f3410667968e"><div class="ttname"><a href="namespacearmnn.html#a1391582cd6e145b67c98f3410667968e">armnn::ClAbsWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClAbsWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_abs_workload_8cpp_source.html#l00019">ClAbsWorkload.cpp:19</a></div></div>
4799<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div><div class="ttdeci">@ Mean</div></div>
4800<div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">armnn::UnaryOperation::Abs</a></div><div class="ttdeci">@ Abs</div></div>
4801<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a227f01f31ce42d62f160d49d5d044a3b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">armnn::ClLayerSupport::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const StridedSliceDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01554">ClLayerSupport.cpp:1554</a></div></div>
4802<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_abd5430fb7e3f330b675a797d690e6eb4"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">armnn::ClLayerSupport::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const std::vector&lt; const TensorInfo * &gt; &amp;inputs, const TensorInfo &amp;output, const StackDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01542">ClLayerSupport.cpp:1542</a></div></div>
4803<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>
4804<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>
4805<div class="ttc" id="anamespacearmnn_html_a46efae0191388fd33db4e95c5d79e2be"><div class="ttname"><a href="namespacearmnn.html#a46efae0191388fd33db4e95c5d79e2be">armnn::ClConvertFp16ToFp32WorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvertFp16ToFp32WorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convert_fp16_to_fp32_workload_8cpp_source.html#l00044">ClConvertFp16ToFp32Workload.cpp:44</a></div></div>
4806<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_afd5766278ef389508c9af49f3e810988"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#afd5766278ef389508c9af49f3e810988">armnn::ClLayerSupport::IsLogSoftmaxSupported</a></div><div class="ttdeci">bool IsLogSoftmaxSupported(const TensorInfo &amp;input, const TensorInfo &amp;output, const LogSoftmaxDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01207">ClLayerSupport.cpp:1207</a></div></div>
4807<div class="ttc" id="anamespacearmnn_html_a8c88a8a91827e9ccc3cf3ce6b14fcd17"><div class="ttname"><a href="namespacearmnn.html#a8c88a8a91827e9ccc3cf3ce6b14fcd17">armnn::SetValueChecked</a></div><div class="ttdeci">void SetValueChecked(Optional&lt; T &amp; &gt; optionalRef, V &amp;&amp;val)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.html#l00017">LayerSupportCommon.hpp:17</a></div></div>
4808<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::BinaryOperation::Div</a></div><div class="ttdeci">@ Div</div></div>
4809<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a3741887d06449834eea19c00d1320f7c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a3741887d06449834eea19c00d1320f7c">armnn::ClLayerSupport::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00868">ClLayerSupport.cpp:868</a></div></div>
4810<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>
4811<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div><div class="ttdeci">@ Maximum</div></div>
4812<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>
4813<div class="ttc" id="anamespacearmnn_html_a89391e63f7a679b023e6bd1798186db6"><div class="ttname"><a href="namespacearmnn.html#a89391e63f7a679b023e6bd1798186db6">armnn::ClLogicalOrWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClLogicalOrWorkloadValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_logical_or_workload_8cpp_source.html#l00020">ClLogicalOrWorkload.cpp:20</a></div></div>
4814<div class="ttc" id="anamespacearmnn_html_a75045734c29d7d6635342c05adbc151b"><div class="ttname"><a href="namespacearmnn.html#a75045734c29d7d6635342c05adbc151b">armnn::ClDequantizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDequantizeWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_dequantize_workload_8cpp_source.html#l00022">ClDequantizeWorkload.cpp:22</a></div></div>
4815<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div><div class="ttdeci">@ Lstm</div></div>
4816<div class="ttc" id="aclassarmnn_1_1_layer_support_base_html_a76fea9e8e52d879f59b268b060635145"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.html#a76fea9e8e52d879f59b268b060635145">armnn::LayerSupportBase::IsMemCopySupported</a></div><div class="ttdeci">bool IsMemCopySupported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.html#l00098">LayerSupportBase.cpp:98</a></div></div>
4817<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div>
4818<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div>
4819<div class="ttc" id="anamespacearmnn_html_af5bb7a834a74983cbbc249785d0c392b"><div class="ttname"><a href="namespacearmnn.html#af5bb7a834a74983cbbc249785d0c392b">armnn::ClReshapeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClReshapeWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_reshape_workload_8cpp_source.html#l00015">ClReshapeWorkload.cpp:15</a></div></div>
4820<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ac41e0c07587d6a3da9349b0e49c4643d"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ac41e0c07587d6a3da9349b0e49c4643d">armnn::ClLayerSupport::IsScatterNdSupported</a></div><div class="ttdeci">bool IsScatterNdSupported(const TensorInfo &amp;input, const TensorInfo &amp;indices, const TensorInfo &amp;updates, const TensorInfo &amp;output, const ScatterNdDescriptor &amp;descriptor, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01453">ClLayerSupport.cpp:1453</a></div></div>
4821<div class="ttc" id="anamespacearmnn_html_aa6670a2fcf9f365da69f3f3092dfa64b"><div class="ttname"><a href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b">armnn::ClDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDepthwiseConvolutionWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const DepthwiseConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depthwise_convolution_workload_8cpp_source.html#l00026">ClDepthwiseConvolutionWorkload.cpp:26</a></div></div>
4822<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::LayerType::Unmap</a></div><div class="ttdeci">@ Unmap</div></div>
4823<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div>
4824<div class="ttc" id="anamespacearmnn_html_ab80423b306d8e0436b9a316922911d4d"><div class="ttname"><a href="namespacearmnn.html#ab80423b306d8e0436b9a316922911d4d">armnn::ClArgMinMaxWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClArgMinMaxWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const ArgMinMaxDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_arg_min_max_workload_8cpp_source.html#l00031">ClArgMinMaxWorkload.cpp:31</a></div></div>
4825<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ade477ece5a23f14601f73127ba6b9f90"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ade477ece5a23f14601f73127ba6b9f90">armnn::ClLayerSupport::IsReverseV2Supported</a></div><div class="ttdeci">bool IsReverseV2Supported(const TensorInfo &amp;input, const TensorInfo &amp;axis, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01441">ClLayerSupport.cpp:1441</a></div></div>
4826<div class="ttc" id="anamespacearmnn_html_ace776a194a715c709136a9966ada1a48"><div class="ttname"><a href="namespacearmnn.html#ace776a194a715c709136a9966ada1a48">armnn::ClLogicalNotWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClLogicalNotWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_logical_not_workload_8cpp_source.html#l00020">ClLogicalNotWorkload.cpp:20</a></div></div>
4827<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>
4828<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>
4829<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a63cd5b66c276be0542571be736aaf7f5"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a63cd5b66c276be0542571be736aaf7f5">armnn::ClLayerSupport::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const TensorInfo &amp;input, const TensorInfo &amp;output, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00886">ClLayerSupport.cpp:886</a></div></div>
4830<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a07cd270641b5876471c8ba9e77bc3abe"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe">armnn::ClLayerSupport::IsQLstmSupported</a></div><div class="ttdeci">bool IsQLstmSupported(const TensorInfo &amp;input, const TensorInfo &amp;previousOutputIn, const TensorInfo &amp;previousCellStateIn, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const QLstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo, Optional&lt; std::string &amp; &gt; reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l01350">ClLayerSupport.cpp:1350</a></div></div>
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