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<div class="title">ClLayerSupport.cpp</div> </div>
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<a href="_cl_layer_support_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_layer_support_8hpp.html">ClLayerSupport.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_backend_id_8hpp.html">ClBackendId.hpp</a>&quot;</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_backend_model_context_8hpp.html">ClBackendModelContext.hpp</a>&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_backend_registry_8hpp.html">armnn/BackendRegistry.hpp</a>&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_internal_types_8hpp.html">InternalTypes.hpp</a>&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_layer_support_common_8hpp.html">LayerSupportCommon.hpp</a>&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_ignore_unused_8hpp.html">armnn/utility/IgnoreUnused.hpp</a>&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_abs_workload_8hpp.html">workloads/ClAbsWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_addition_workload_8hpp.html">workloads/ClAdditionWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_activation_workload_8hpp.html">workloads/ClActivationWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_arg_min_max_workload_8hpp.html">workloads/ClArgMinMaxWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_batch_mat_mul_workload_8hpp.html">workloads/ClBatchMatMulWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_batch_normalization_float_workload_8hpp.html">workloads/ClBatchNormalizationFloatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_batch_to_space_nd_workload_8hpp.html">workloads/ClBatchToSpaceNdWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_cast_workload_8hpp.html">workloads/ClCastWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_channel_shuffle_workload_8hpp.html">workloads/ClChannelShuffleWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_comparison_workload_8hpp.html">workloads/ClComparisonWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_constant_workload_8hpp.html">workloads/ClConstantWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_convert_fp16_to_fp32_workload_8hpp.html">workloads/ClConvertFp16ToFp32Workload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_convert_fp32_to_fp16_workload_8hpp.html">workloads/ClConvertFp32ToFp16Workload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_convolution2d_workload_8hpp.html">workloads/ClConvolution2dWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_convolution3d_workload_8hpp.html">workloads/ClConvolution3dWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_depth_to_space_workload_8hpp.html">workloads/ClDepthToSpaceWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_depthwise_convolution_workload_8hpp.html">workloads/ClDepthwiseConvolutionWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_dequantize_workload_8hpp.html">workloads/ClDequantizeWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_division_workload_8hpp.html">workloads/ClDivisionWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_elementwise_binary_workload_8hpp.html">workloads/ClElementwiseBinaryWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_exp_workload_8hpp.html">workloads/ClExpWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_fill_workload_8hpp.html">workloads/ClFillWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_floor_float_workload_8hpp.html">workloads/ClFloorFloatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_fully_connected_workload_8hpp.html">workloads/ClFullyConnectedWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_gather_workload_8hpp.html">workloads/ClGatherWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_gather_nd_workload_8hpp.html">workloads/ClGatherNdWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_instance_normalization_workload_8hpp.html">workloads/ClInstanceNormalizationWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_l2_normalization_float_workload_8hpp.html">workloads/ClL2NormalizationFloatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_log_workload_8hpp.html">workloads/ClLogWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_log_softmax_workload_8hpp.html">workloads/ClLogSoftmaxWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_logical_and_workload_8hpp.html">workloads/ClLogicalAndWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_logical_not_workload_8hpp.html">workloads/ClLogicalNotWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_logical_or_workload_8hpp.html">workloads/ClLogicalOrWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_lstm_float_workload_8hpp.html">workloads/ClLstmFloatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_maximum_workload_8hpp.html">workloads/ClMaximumWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_mean_workload_8hpp.html">workloads/ClMeanWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_concat_workload_8hpp.html">workloads/ClConcatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_minimum_workload_8hpp.html">workloads/ClMinimumWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_multiplication_workload_8hpp.html">workloads/ClMultiplicationWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_neg_workload_8hpp.html">workloads/ClNegWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_normalization_float_workload_8hpp.html">workloads/ClNormalizationFloatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_pad_workload_8hpp.html">workloads/ClPadWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_permute_workload_8hpp.html">workloads/ClPermuteWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_pooling2d_workload_8hpp.html">workloads/ClPooling2dWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_pooling3d_workload_8hpp.html">workloads/ClPooling3dWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_prelu_workload_8hpp.html">workloads/ClPreluWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_q_lstm_workload_8hpp.html">workloads/ClQLstmWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_quantized_lstm_workload_8hpp.html">workloads/ClQuantizedLstmWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_quantize_workload_8hpp.html">workloads/ClQuantizeWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_reduce_workload_8hpp.html">workloads/ClReduceWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_reshape_workload_8hpp.html">workloads/ClReshapeWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_resize_workload_8hpp.html">workloads/ClResizeWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_reverse_v2_workload_8hpp.html">workloads/ClReverseV2Workload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_rsqrt_workload_8hpp.html">workloads/ClRsqrtWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_sin_workload_8hpp.html">workloads/ClSinWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_slice_workload_8hpp.html">workloads/ClSliceWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_softmax_workload_8hpp.html">workloads/ClSoftmaxWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_space_to_batch_nd_workload_8hpp.html">workloads/ClSpaceToBatchNdWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_space_to_depth_workload_8hpp.html">workloads/ClSpaceToDepthWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_splitter_workload_8hpp.html">workloads/ClSplitterWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_sqrt_workload_8hpp.html">workloads/ClSqrtWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_stack_workload_8hpp.html">workloads/ClStackWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_strided_slice_workload_8hpp.html">workloads/ClStridedSliceWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_subtraction_workload_8hpp.html">workloads/ClSubtractionWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_tile_workload_8hpp.html">workloads/ClTileWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_transpose_convolution2d_workload_8hpp.html">workloads/ClTransposeConvolution2dWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_transpose_workload_8hpp.html">workloads/ClTransposeWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_unidirectional_sequence_lstm_float_workload_8hpp.html">workloads/ClUnidirectionalSequenceLstmFloatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;{</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; </div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;<span class="keyword">namespace</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;{</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> FilterSize&gt;</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;<span class="keywordtype">bool</span> IsMatchingSize2d(<span class="keyword">const</span> TensorInfo&amp; weightInfo)</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;{</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="comment">// Width &amp; Height must match.</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">return</span> (weightInfo.GetShape()[3] == FilterSize) &amp;&amp; (weightInfo.GetShape()[2] == FilterSize);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;}</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="keyword">template</span>&lt;u<span class="keywordtype">int</span>32_t Val<span class="keywordtype">id</span>Str<span class="keywordtype">id</span>e&gt;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;<span class="keywordtype">bool</span> IsMatchingStride(uint32_t actualStride)</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;{</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">return</span> ValidStride == actualStride;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;}</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; </div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;<span class="keyword">template</span>&lt;uint32_t FirstStride, uint32_t SecondStride, uint32_t... ValidStrides&gt;</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;<span class="keywordtype">bool</span> IsMatchingStride(uint32_t actualStride)</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;{</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">return</span> IsMatchingStride&lt;FirstStride&gt;(actualStride) || IsMatchingStride&lt;SecondStride, ValidStrides...&gt;(actualStride);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;}</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ... Args&gt;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;<span class="keywordtype">bool</span> IsClBackendSupported(Optional&lt;std::string&amp;&gt; reasonIfUnsupported, Args... args)</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;{</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(reasonIfUnsupported, (args)...);</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">if</span> (reasonIfUnsupported)</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; {</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; reasonIfUnsupported.value() = <span class="stringliteral">&quot;The armnn library has been built without CL support&quot;</span>;</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; }</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;}</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; </div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="_cl_layer_support_8cpp.html#a5cced62cc843be3b7f0614fc73d2c93b"> 133</a></span>&#160;<span class="preprocessor">#define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) (expr)</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<span class="preprocessor">#define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) IsClBackendSupported(reasonIfUnsupported)</span></div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; </div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class </span>FuncType, <span class="keyword">class</span>... Args&gt;</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> IsWorkloadSupported(FuncType&amp;&amp; func, Optional&lt;std::string&amp;&gt; reasonIfUnsupported, Args&amp;&amp;... args)</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;{</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> aclStatus = func(std::forward&lt;Args&gt;(args)...);</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK);</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">if</span> (!supported &amp;&amp; reasonIfUnsupported)</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; {</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; reasonIfUnsupported.value() = aclStatus.error_description();</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; }</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">return</span> supported;</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;}</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; </div>
<div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="_cl_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9"> 151</a></span>&#160;<span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="preprocessor"> return IsWorkloadSupported(func, reasonIfUnsupported, __VA_ARGS__);</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;<span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;<span class="preprocessor"> return IsClBackendSupported(reasonIfUnsupported, __VA_ARGS__);</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; </div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FloatFunc, <span class="keyword">typename</span> Uint8Func, <span class="keyword">typename</span> ... Params&gt;</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;<span class="keywordtype">bool</span> IsSupportedForDataTypeCl(Optional&lt;std::string&amp;&gt; reasonIfUnsupported,</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; FloatFunc floatFuncPtr,</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; Uint8Func uint8FuncPtr,</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; Params&amp;&amp;... params)</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;{</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported) &amp;&amp;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="namespacearmnn.html#a23a5267702f036fe70a34f91e6c07490">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; dataType,</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; floatFuncPtr,</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; floatFuncPtr,</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; uint8FuncPtr,</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; &amp;FalseFunc&lt;&gt;,</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; &amp;FalseFunc&lt;&gt;,</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; std::forward&lt;Params&gt;(params)...);</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;}</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; </div>
<div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#adcaa3eb3d4e1bf48a235b97170dccd15"> 177</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_layer_support.html#ac1dc1384ae65a68453cd3f5fd4a6adbd">ClLayerSupport::ClLayerSupport</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>&amp; modelContextPtr)</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; : m_ModelContextPtr(modelContextPtr)</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;{</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;}</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; </div>
<div class="line"><a name="l00182"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ac1dc1384ae65a68453cd3f5fd4a6adbd"> 182</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_layer_support.html#ac1dc1384ae65a68453cd3f5fd4a6adbd">ClLayerSupport::ClLayerSupport</a>()</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; : m_ModelContextPtr(nullptr)</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;{</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;}</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; </div>
<div class="line"><a name="l00187"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a15dd64e49fe95a482dc93d3af8ac108c"> 187</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a15dd64e49fe95a482dc93d3af8ac108c">ClLayerSupport::IsLayerSupported</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&amp; type,</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keyword">const</span> std::vector&lt;TensorInfo&gt;&amp; infos,</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;LstmInputParamsInfo&gt;</a>&amp; lstmParamsInfo,</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;QuantizedLstmInputParamsInfo&gt;</a>&amp; quantizedLstmParamsInfo,</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="keywordflow">switch</span> (type)</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; {</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">IsActivationSupported</a>(infos[0],</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; infos[1],</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; *(PolymorphicDowncast&lt;const ActivationDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</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>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>:</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">IsArgMinMaxSupported</a>(infos[0],</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; infos[1],</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; *(PolymorphicDowncast&lt;const ArgMinMaxDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a>:</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">IsBatchMatMulSupported</a>(infos[0],</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; infos[1],</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; infos[2],</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; *(PolymorphicDowncast&lt;const BatchMatMulDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>:</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aefe6105143396c8fd46f29266c63d948">IsBatchNormalizationSupported</a>(infos[0],</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; infos[1],</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; infos[2],</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; infos[3],</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; infos[4],</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; infos[5],</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; *(PolymorphicDowncast&lt;const BatchNormalizationDescriptor*&gt;</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; (&amp;descriptor)),</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>:</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">IsBatchToSpaceNdSupported</a>(infos[0],</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; infos[1],</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; *(PolymorphicDowncast&lt;const BatchToSpaceNdDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>:</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</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>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a>:</div>
<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#abe9e711bd5dc9844369d4c706e0d8b0a">IsChannelShuffleSupported</a>(infos[0],</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; infos[1],</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; *(PolymorphicDowncast&lt;const ChannelShuffleDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>:</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abdd824d4e7e43e8a8738955fe570ada0">IsComparisonSupported</a>(infos[0],</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; infos[1],</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; infos[2],</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; *(PolymorphicDowncast&lt;const ComparisonDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>:</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; {</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; std::vector&lt;const TensorInfo*&gt; inputInfos;</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; (infos.size() - 1); i++)</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; {</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; inputInfos.push_back(&amp;infos[i]);</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; }</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">IsConcatSupported</a>(inputInfos,</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; infos[infos.size() - 1],</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; *(PolymorphicDowncast&lt;const OriginsDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; }</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</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>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div>
<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#ab4684a5f416ac243a4519f54e683b535">IsConvertFp16ToFp32Supported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div>
<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#a63cd5b66c276be0542571be736aaf7f5">IsConvertFp32ToFp16Supported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; {</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; {</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Invalid number of Convolution2d TensorInfos. &quot;</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; }</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; </div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const Convolution2dDescriptor*&gt;(&amp;descriptor));</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>())</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; {</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a>(infos[0],</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; infos[1],</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; desc,</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; infos[2],</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>(),</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; }</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; {</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51">IsConvolution2dSupported</a>(infos[0],</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; infos[1],</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; desc,</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; infos[2],</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; infos[3],</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; }</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; }</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>:</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; {</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; {</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Invalid number of Convolution3d TensorInfos. &quot;</span></div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; }</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; </div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const Convolution3dDescriptor*&gt;(&amp;descriptor));</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>())</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; {</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a>(infos[0],</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; infos[1],</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; desc,</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; infos[2],</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>(),</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; }</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; {</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">IsConvolution3dSupported</a>(infos[0],</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; infos[1],</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; desc,</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; infos[2],</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; infos[3],</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; }</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; }</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">IsDepthToSpaceSupported</a>(infos[0],</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; infos[1],</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; *(PolymorphicDowncast&lt;const DepthToSpaceDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; {</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; {</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Invalid number of DepthwiseConvolution2d TensorInfos. &quot;</span></div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; }</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; </div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const DepthwiseConvolution2dDescriptor*&gt;(&amp;descriptor));</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>())</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; {</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a>(infos[0],</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; infos[1],</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; desc,</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; infos[2],</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>(),</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; }</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; {</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">IsDepthwiseConvolutionSupported</a>(infos[0],</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; infos[1],</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; desc,</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; infos[2],</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; infos[3],</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; }</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; }</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</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>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</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>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>:</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; {</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const ElementwiseBinaryDescriptor *&gt;(&amp;descriptor));</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; </div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <span class="keywordflow">switch</span> (desc.m_Operation)</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; {</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>:</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</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>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; infos[0],</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; infos[1],</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; infos[2],</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>:</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</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>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; infos[0],</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; infos[1],</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; infos[2],</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">BinaryOperation::Minimum</a>:</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</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>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; infos[0],</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; infos[1],</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; infos[2]);</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">BinaryOperation::Maximum</a>:</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</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>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; infos[0],</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; infos[1],</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; infos[2]);</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>:</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</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>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; infos[0],</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; infos[1],</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; infos[2],</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">BinaryOperation::Power</a>:</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">BinaryOperation::SqDiff</a>:</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</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>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; infos[0],</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; infos[1],</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; infos[2],</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; desc,</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>:</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</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>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; infos[0],</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; infos[1],</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; infos[2],</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; }</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; }</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>:</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">IsElementwiseUnarySupported</a>(infos[0],</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; infos[1],</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; *(PolymorphicDowncast&lt;const ElementwiseUnaryDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a>:</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad557f8fa58e751c93cf271691834ca52">IsFillSupported</a>(infos[0],</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; infos[1],</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; *(PolymorphicDowncast&lt;const FillDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</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>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div>
<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#a6bb173cc16cd16909254787311c19995">IsFullyConnectedSupported</a>(infos[0],</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; infos[1],</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; infos[2],</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; infos[3],</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; *(PolymorphicDowncast&lt;const FullyConnectedDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#adc7c2b1e2d768d4c1c50ccf31950800b">IsGatherSupported</a>(infos[0],</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; infos[1],</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; infos[2],</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; *(PolymorphicDowncast&lt;const GatherDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">LayerType::GatherNd</a>:</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad0bca4c0de78df48fd6e63a3b8239f57">IsGatherNdSupported</a>(infos[0],</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; infos[1],</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; infos[2],</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</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>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div>
<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#a96f76305323bd5f2c9f8e2850a327f95">IsInstanceNormalizationSupported</a>(infos[0],</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; infos[1],</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; *(PolymorphicDowncast&lt;const InstanceNormalizationDescriptor*&gt;</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; (&amp;descriptor)),</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#acc5b87bee8889258d7289f009e754d3d">IsL2NormalizationSupported</a>(infos[0],</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; infos[1],</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; *(PolymorphicDowncast&lt;const L2NormalizationDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a>:</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">IsLogicalBinarySupported</a>(infos[0],</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; infos[1],</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; infos[2],</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; *(PolymorphicDowncast&lt;const LogicalBinaryDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>:</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#afd5766278ef389508c9af49f3e810988">IsLogSoftmaxSupported</a>(infos[0],</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; infos[1],</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; *(PolymorphicDowncast&lt;const LogSoftmaxDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">IsLstmSupported</a>(infos[0],</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; infos[1],</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; infos[2],</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; infos[3],</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; infos[4],</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; infos[5],</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; infos[6],</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; *(PolymorphicDowncast&lt;const LstmDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; lstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">LayerType::Map</a>:</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</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>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div>
<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#a081cfb99e9e5b240f8b151f0a7090431">LayerSupportBase::IsMemImportSupported</a>(infos[0], infos[1], reasonIfUnsupported);</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>:</div>
<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#a21fd6e1714d62eb57f7e31e3ccaaa152">LayerSupportBase::IsMergeSupported</a>(infos[0],</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; infos[1],</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; infos[2],</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</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>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a007299b48d001bbdaefe525566b21c8e">IsMeanSupported</a>(infos[0],</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; infos[1],</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; *(PolymorphicDowncast&lt;const MeanDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</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>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</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>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">IsNormalizationSupported</a>(infos[0],</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; infos[1],</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; *(PolymorphicDowncast&lt;const NormalizationDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</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>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div>
<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#a649ebe27288d2e62ed0069c0f1d941b8">IsPadSupported</a>(infos[0],</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; infos[1],</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; *(PolymorphicDowncast&lt;const PadDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a5d06aa3102f630eeff127195693810e8">IsPermuteSupported</a>(infos[0],</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; infos[1],</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; *(PolymorphicDowncast&lt;const PermuteDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">IsPooling2dSupported</a>(infos[0],</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; infos[1],</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; *(PolymorphicDowncast&lt;const Pooling2dDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a>:</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">IsPooling3dSupported</a>(infos[0],</div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; infos[1],</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; *(PolymorphicDowncast&lt;const Pooling3dDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</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>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>:</div>
<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#a07cd270641b5876471c8ba9e77bc3abe">IsQLstmSupported</a>(infos[0],</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; infos[1],</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; infos[2],</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; infos[3],</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; infos[4],</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; infos[5],</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; *(PolymorphicDowncast&lt;const QLstmDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; lstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</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>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>:</div>
<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#aad6eabce66fdae7c3389450e9dc75df9">IsQuantizedLstmSupported</a>(infos[0],</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; infos[1],</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; infos[2],</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; infos[3],</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; infos[4],</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; quantizedLstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a>:</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>:</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">IsReduceSupported</a>(infos[0],</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; infos[1],</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; *(PolymorphicDowncast&lt;const ReduceDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">IsReshapeSupported</a>(infos[0],</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; infos[1],</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; *(PolymorphicDowncast&lt;const ReshapeDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">IsResizeSupported</a>(infos[0],</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; infos[1],</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; *(PolymorphicDowncast&lt;const ResizeDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">LayerType::ReverseV2</a>:</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ade477ece5a23f14601f73127ba6b9f90">IsReverseV2Supported</a>(infos[0],</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; infos[1],</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; infos[2],</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">LayerType::Shape</a>:</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</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>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; infos[1],</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">IsSliceSupported</a>(infos[0],</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; infos[1],</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; *(PolymorphicDowncast&lt;const SliceDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div>
<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_cl_layer_support.html#abc2d31208c6bcced31369b024eee3b65">IsSoftmaxSupported</a>(infos[0],</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; infos[1],</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; *(PolymorphicDowncast&lt;const SoftmaxDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">IsSpaceToBatchNdSupported</a>(infos[0],</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; infos[1],</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; *(PolymorphicDowncast&lt;const SpaceToBatchNdDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abd0c6ea3807227b94374ff321a47284d">IsSpaceToDepthSupported</a>(infos[0],</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; infos[1],</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; *(PolymorphicDowncast&lt;const SpaceToDepthDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; {</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; std::vector&lt;TensorInfo&gt; outputInfos;</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 1; i &lt; infos.size(); i++)</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; {</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; outputInfos.push_back(infos[i]);</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; }</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">IsSplitterSupported</a>(infos[0],</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; {outputInfos.begin(), outputInfos.end()},</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; *(PolymorphicDowncast&lt;const ViewsDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; }</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; {</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; std::vector&lt;const TensorInfo*&gt; inputInfos;</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; infos.size() - 1; i++)</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; {</div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; inputInfos.push_back(&amp;infos[i]);</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; }</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">IsStackSupported</a>(inputInfos,</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; infos[infos.size() - 1],</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; *(PolymorphicDowncast&lt;const StackDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160; }</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">IsStridedSliceSupported</a>(infos[0],</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; infos[1],</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; *(PolymorphicDowncast&lt;const StridedSliceDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</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>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">LayerType::Tile</a>:</div>
<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#a27b8700a838b8018acb22cf38570b997">IsTileSupported</a>(infos[0],</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; infos[1],</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160; *(PolymorphicDowncast&lt;const TileDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">IsTransposeSupported</a>(infos[0],</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160; infos[1],</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; *(PolymorphicDowncast&lt;const TransposeDescriptor*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; {</div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; <span class="keywordflow">if</span> (infos.size() != 4)</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; {</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Invalid number of TransposeConvolution2d TensorInfos. &quot;</span></div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; <span class="stringliteral">&quot;TensorInfos should be of format: {input, output, weights, biases}.&quot;</span>);</div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; }</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; </div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; <span class="keyword">auto</span> desc = *(PolymorphicDowncast&lt;const TransposeConvolution2dDescriptor*&gt;(&amp;descriptor));</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>())</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; {</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">IsTransposeConvolution2dSupported</a>(infos[0],</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; infos[1],</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; desc,</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; infos[2],</div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>(),</div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160; }</div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; {</div>
<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>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160; infos[1],</div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; desc,</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160; infos[2],</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160; infos[3],</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; }</div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; }</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>:</div>
<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#a8bf8e20faa2d906c0c84fc7b88bad67a">IsUnidirectionalSequenceLstmSupported</a>(infos[0],</div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160; infos[1],</div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; infos[2],</div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; infos[3],</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; infos[4],</div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160; infos[5],</div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; *(<a class="code" href="namespacearmnn.html#aa4e89c644c511e255f6a7ecbd5d14686">PolymorphicDowncast</a>&lt;<span class="keyword">const</span></div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.html">UnidirectionalSequenceLstmDescriptor</a>*&gt;(&amp;descriptor)),</div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; lstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; reasonIfUnsupported);</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">LayerType::Unmap</a>:</div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; <span class="comment">// layers not supported in cl by default:</span></div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; <span class="comment">// debug, detectionpostprocess, fakequantization,</span></div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; <span class="comment">// precompiled, standin, switch, pooling3d, fused</span></div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; }</div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160;}</div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; </div>
<div class="line"><a name="l00696"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8"> 696</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a963c34790fb5214b51b16b69d36fe3c8">ClLayerSupport::IsActivationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00701"></a><span class="lineno"> 701</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>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; input,</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; output,</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; descriptor);</div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160;}</div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; </div>
<div class="line"><a name="l00708"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e"> 708</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#afaadd7f7db4d8827890b4cedaf3bac8e">ClLayerSupport::IsAdditionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</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>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160; input0,</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160; input1,</div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160; output,</div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160;}</div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160; </div>
<div class="line"><a name="l00721"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59"> 721</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a36da5a4ac8ecbf58821989af2c289e59">ClLayerSupport::IsArgMinMaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160; </div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</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>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160; input,</div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160; output,</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>&#160; descriptor);</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160;}</div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>&#160; </div>
<div class="line"><a name="l00734"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615"> 734</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a22cfc1d5f68bd32db0aa126e8fd9e615">ClLayerSupport::IsBatchMatMulSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputX,</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputY,</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</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>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; inputX,</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; inputY,</div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; output,</div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; descriptor,</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160;}</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160; </div>
<div class="line"><a name="l00749"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#aefe6105143396c8fd46f29266c63d948"> 749</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aefe6105143396c8fd46f29266c63d948">ClLayerSupport::IsBatchNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; mean,</div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; var,</div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; beta,</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; gamma,</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</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>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; input,</div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160; output,</div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; mean,</div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160; var,</div>
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; beta,</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160; gamma,</div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; descriptor,</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160;}</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; </div>
<div class="line"><a name="l00770"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011"> 770</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ae8523c4d9b6c18744d46a98d4984a011">ClLayerSupport::IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</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>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; input,</div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160; output,</div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; descriptor);</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160;}</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; </div>
<div class="line"><a name="l00782"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133"> 782</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a40767d1d9169c7f9c1f1ef2f2aa87133">ClLayerSupport::IsCastSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</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>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160; input,</div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160; output);</div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160;}</div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160; </div>
<div class="line"><a name="l00792"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a"> 792</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abe9e711bd5dc9844369d4c706e0d8b0a">ClLayerSupport::IsChannelShuffleSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</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>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; input,</div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; output,</div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; descriptor);</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160;}</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160; </div>
<div class="line"><a name="l00804"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#abdd824d4e7e43e8a8738955fe570ada0"> 804</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abdd824d4e7e43e8a8738955fe570ada0">ClLayerSupport::IsComparisonSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</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>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; input0,</div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160; input1,</div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160; output,</div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; descriptor);</div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160;}</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; </div>
<div class="line"><a name="l00818"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c"> 818</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ab56e4c49e3cbd6b486b4a9e6b89e6e0c">ClLayerSupport::IsConcatSupported</a>(<span class="keyword">const</span> std::vector&lt;const TensorInfo*&gt; inputs,</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.html">OriginsDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() &lt;= descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>())</div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160; {</div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</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>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160; }</div>
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; </div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatInnerAxis = (descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>()) - 1;</div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>&#160; <span class="keywordflow">if</span>(concatInnerAxis &lt; 3) <span class="comment">// Width, height, or channels</span></div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160; {</div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</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>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160; inputs,</div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160; output,</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160; descriptor);</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160; }</div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (concatInnerAxis == 3)</div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160; {</div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</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>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</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>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; input : inputs)</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160; {</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160; <span class="keywordflow">if</span> (input &amp;&amp; !output.<a class="code" href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1">IsTypeSpaceMatch</a>(*input)) <span class="comment">// Cannot use sub-tensors if the types are not same space</span></div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160; {</div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</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>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160; }</div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>&#160; }</div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>; <span class="comment">// Sub-tensors support concat along batch</span></div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>&#160; }</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160; <span class="keywordflow">else</span> <span class="comment">// &gt; 4 dimensions not supported.</span></div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160; {</div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</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>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160; }</div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>&#160;}</div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160; </div>
<div class="line"><a name="l00859"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a3741887d06449834eea19c00d1320f7c"> 859</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a3741887d06449834eea19c00d1320f7c">ClLayerSupport::IsConstantSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</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>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>&#160; output);</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160;}</div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160; </div>
<div class="line"><a name="l00867"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ab4684a5f416ac243a4519f54e683b535"> 867</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ab4684a5f416ac243a4519f54e683b535">ClLayerSupport::IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160;<span class="keyword"></span>{</div>
<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#a46efae0191388fd33db4e95c5d79e2be">ClConvertFp16ToFp32WorkloadValidate</a>,</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160; input,</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160; output);</div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160;}</div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>&#160; </div>
<div class="line"><a name="l00877"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a63cd5b66c276be0542571be736aaf7f5"> 877</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a63cd5b66c276be0542571be736aaf7f5">ClLayerSupport::IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</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>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; input,</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160; output);</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>&#160;}</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160; </div>
<div class="line"><a name="l00887"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51"> 887</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a0e7afe178736bc0844695e051d12be51">ClLayerSupport::IsConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; weights,</div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a>&amp; biases,</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160; <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr)</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>&#160; {</div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>&#160; {</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>&#160; <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast&lt;</span><a class="code" href="classarmnn_1_1_cl_backend_model_context.html">ClBackendModelContext</a>*<span class="keyword">&gt;</span>(m_ModelContextPtr.get());</div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>&#160; <span class="keywordflow">if</span> (modelOptions)</div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160; {</div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>&#160; isFastMathEnabled = modelOptions-&gt;<a class="code" href="classarmnn_1_1_cl_backend_model_context.html#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>();</div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>&#160; }</div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>&#160; }</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>&#160; }</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>&#160; </div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</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>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>&#160; input,</div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>&#160; output,</div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160; descriptor,</div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>&#160; weights,</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>&#160; biases,</div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>&#160; isFastMathEnabled,</div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160;}</div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160; </div>
<div class="line"><a name="l00920"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b"> 920</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a57927a58bc6bb87455b51a2786fe1b3b">ClLayerSupport::IsConvolution3dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; weights,</div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a>&amp; biases,</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160; <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr)</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160;{</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160; <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160; {</div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160; <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast&lt;</span><a class="code" href="classarmnn_1_1_cl_backend_model_context.html">ClBackendModelContext</a>*<span class="keyword">&gt;</span>(m_ModelContextPtr.get());</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; <span class="keywordflow">if</span> (modelOptions)</div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; {</div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; isFastMathEnabled = modelOptions-&gt;<a class="code" href="classarmnn_1_1_cl_backend_model_context.html#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>();</div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; }</div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160; }</div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160;}</div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; </div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</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>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; input,</div>
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; output,</div>
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; descriptor,</div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; weights,</div>
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; biases,</div>
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; isFastMathEnabled,</div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160;}</div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>&#160; </div>
<div class="line"><a name="l00953"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02"> 953</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a25adbaea31c52a55a1fa3afa7546be02">ClLayerSupport::IsDequantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</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>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>&#160; input,</div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160; output);</div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>&#160;}</div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>&#160; </div>
<div class="line"><a name="l00963"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567"> 963</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a7ed10202fff7c54f2d5b27c3ecd21567">ClLayerSupport::IsDepthToSpaceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">DepthToSpaceDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</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>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>&#160; input,</div>
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span>&#160; output,</div>
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>&#160; descriptor);</div>
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>&#160;}</div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>&#160; </div>
<div class="line"><a name="l00975"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c"> 975</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a8e778f7b99b33e242145ff2319ae585c">ClLayerSupport::IsDepthwiseConvolutionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; weights,</div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a>&amp; biases,</div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</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>
<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>&#160; input,</div>
<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>&#160; output,</div>
<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>&#160; descriptor,</div>
<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>&#160; weights,</div>
<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>&#160; biases,</div>
<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>&#160;}</div>
<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>&#160; </div>
<div class="line"><a name="l00992"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#aa1caadf76e5ebf10d6875564dcff19ac"> 992</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aa1caadf76e5ebf10d6875564dcff19ac">ClLayerSupport::IsDilatedDepthwiseConvolutionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; weights,</div>
<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a>&amp; biases,</div>
<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00999"></a><span class="lineno"> 999</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>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160; input,</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160; output,</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160; descriptor,</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160; weights,</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160; biases,</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;}</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; </div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160; </div>
<div class="line"><a name="l01010"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#aac1281b0616904d20dc397cfc5984e8b"> 1010</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aac1281b0616904d20dc397cfc5984e8b">ClLayerSupport::IsDivisionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</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>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160; input0,</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160; input1,</div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160; output,</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;}</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160; </div>
<div class="line"><a name="l01023"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a734a989302f92b63d717f2ac395c3eb9"> 1023</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a734a989302f92b63d717f2ac395c3eb9">ClLayerSupport::IsElementwiseUnarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160; <span class="keywordflow">switch</span>(descriptor.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">m_Operation</a>)</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; {</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">UnaryOperation::Abs</a>:</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</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>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160; input,</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160; output);</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">UnaryOperation::Exp</a>:</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</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>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160; input,</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; output);</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">UnaryOperation::Log</a>:</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</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>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160; input,</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160; output);</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>:</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</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>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160; input,</div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160; output);</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">UnaryOperation::Neg</a>:</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</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>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160; input,</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160; output);</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">UnaryOperation::Rsqrt</a>:</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</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>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; input,</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; output);</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">UnaryOperation::Sin</a>:</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</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>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; input,</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160; output);</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">UnaryOperation::Sqrt</a>:</div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</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>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160; input,</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160; output);</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160; }</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;}</div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160; </div>
<div class="line"><a name="l01075"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ad557f8fa58e751c93cf271691834ca52"> 1075</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad557f8fa58e751c93cf271691834ca52">ClLayerSupport::IsFillSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.html">FillDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(input);</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(output);</div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(descriptor);</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160; </div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160; <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported);</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;}</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160; </div>
<div class="line"><a name="l01087"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#aca92095e6a26d7f451042795afabea5b"> 1087</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aca92095e6a26d7f451042795afabea5b">ClLayerSupport::IsFloorSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</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>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160; input,</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160; output);</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;}</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160; </div>
<div class="line"><a name="l01097"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a6bb173cc16cd16909254787311c19995"> 1097</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a6bb173cc16cd16909254787311c19995">ClLayerSupport::IsFullyConnectedSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; weights,</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; biases,</div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</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>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160; input,</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160; output,</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160; weights,</div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160; biases,</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160; descriptor,</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;}</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160; </div>
<div class="line"><a name="l01114"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#adc7c2b1e2d768d4c1c50ccf31950800b"> 1114</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#adc7c2b1e2d768d4c1c50ccf31950800b">ClLayerSupport::IsGatherSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</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>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160; input0,</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160; input1,</div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160; output,</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160; descriptor);</div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160;}</div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160; </div>
<div class="line"><a name="l01128"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ad0bca4c0de78df48fd6e63a3b8239f57"> 1128</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad0bca4c0de78df48fd6e63a3b8239f57">ClLayerSupport::IsGatherNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</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>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160; input0,</div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160; input1,</div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160; output);</div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;}</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160; </div>
<div class="line"><a name="l01140"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546"> 1140</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a9546ae76bc4ba8a05f1c441be22ae546">ClLayerSupport::IsInputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160; <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported, input);</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;}</div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160; </div>
<div class="line"><a name="l01146"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95"> 1146</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a96f76305323bd5f2c9f8e2850a327f95">ClLayerSupport::IsInstanceNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</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>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160; input,</div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160; output,</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160; descriptor);</div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160;}</div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160; </div>
<div class="line"><a name="l01158"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#acc5b87bee8889258d7289f009e754d3d"> 1158</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#acc5b87bee8889258d7289f009e754d3d">ClLayerSupport::IsL2NormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</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>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160; input,</div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160; output,</div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160; descriptor);</div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160;}</div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160; </div>
<div class="line"><a name="l01170"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502"> 1170</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a83f61b022e9544d0c1f5110cd28ae502">ClLayerSupport::IsLogicalBinarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160; </div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160; <span class="keywordflow">switch</span>(descriptor.<a class="code" href="structarmnn_1_1_logical_binary_descriptor.html#a32c95d929d2e2e0fa7fc1a3a25865eb0">m_Operation</a>)</div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160; {</div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">LogicalBinaryOperation::LogicalAnd</a>:</div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</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>
<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160; input0,</div>
<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160; input1,</div>
<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160; output);</div>
<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">LogicalBinaryOperation::LogicalOr</a>:</div>
<div class="line"><a name="l01187"></a><span class="lineno"> 1187</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>
<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160; input0,</div>
<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160; input1,</div>
<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160; output);</div>
<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160; }</div>
<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160;}</div>
<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160; </div>
<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160; </div>
<div class="line"><a name="l01198"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#afd5766278ef389508c9af49f3e810988"> 1198</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#afd5766278ef389508c9af49f3e810988">ClLayerSupport::IsLogSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">LogSoftmaxDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01203"></a><span class="lineno"> 1203</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>
<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>&#160; input,</div>
<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>&#160; output,</div>
<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>&#160; descriptor);</div>
<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>&#160;}</div>
<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>&#160; </div>
<div class="line"><a name="l01210"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155"> 1210</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ad5adeb0c9d1cf403d5cd2eadf4585155">ClLayerSupport::IsLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateIn,</div>
<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateIn,</div>
<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; scratchBuffer,</div>
<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateOut,</div>
<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateOut,</div>
<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a>&amp; paramsInfo,</div>
<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01221"></a><span class="lineno"> 1221</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>
<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>&#160; input,</div>
<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>&#160; outputStateIn,</div>
<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>&#160; cellStateIn,</div>
<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>&#160; scratchBuffer,</div>
<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160; outputStateOut,</div>
<div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>&#160; cellStateOut,</div>
<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160; output,</div>
<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160; descriptor,</div>
<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160; paramsInfo);</div>
<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160;}</div>
<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160; </div>
<div class="line"><a name="l01234"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a3a8e66320bb329f751e0f08fa970cd61"> 1234</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a3a8e66320bb329f751e0f08fa970cd61">ClLayerSupport::IsMaximumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01239"></a><span class="lineno"> 1239</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>
<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160; input0,</div>
<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160; input1,</div>
<div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160; output);</div>
<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160;}</div>
<div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160; </div>
<div class="line"><a name="l01246"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a007299b48d001bbdaefe525566b21c8e"> 1246</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a007299b48d001bbdaefe525566b21c8e">ClLayerSupport::IsMeanSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01251"></a><span class="lineno"> 1251</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>
<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160; input,</div>
<div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160; output,</div>
<div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160; descriptor);</div>
<div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160;}</div>
<div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>&#160; </div>
<div class="line"><a name="l01258"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0"> 1258</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a68ddd3634fa7ce3a1eea8d7cc5adc9f0">ClLayerSupport::IsMinimumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01263"></a><span class="lineno"> 1263</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>
<div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160; input0,</div>
<div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>&#160; input1,</div>
<div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>&#160; output);</div>
<div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>&#160;}</div>
<div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>&#160; </div>
<div class="line"><a name="l01270"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b"> 1270</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a030c7a65a5c26b93c57b30e3c9d6a80b">ClLayerSupport::IsMultiplicationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01275"></a><span class="lineno"> 1275</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>
<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160; input0,</div>
<div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>&#160; input1,</div>
<div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160; output,</div>
<div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160;}</div>
<div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160; </div>
<div class="line"><a name="l01283"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830"> 1283</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#af77622c468f95d7cbc05b7d6f6e83830">ClLayerSupport::IsNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01288"></a><span class="lineno"> 1288</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>
<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160;}</div>
<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160; </div>
<div class="line"><a name="l01291"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6"> 1291</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a3b1efcbd2ac79d53fa0db56831095cd6">ClLayerSupport::IsOutputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160; <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported, output);</div>
<div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160;}</div>
<div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160; </div>
<div class="line"><a name="l01297"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8"> 1297</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a649ebe27288d2e62ed0069c0f1d941b8">ClLayerSupport::IsPadSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01302"></a><span class="lineno"> 1302</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>
<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160; input,</div>
<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160; output,</div>
<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160; descriptor);</div>
<div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160;}</div>
<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160; </div>
<div class="line"><a name="l01309"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a5d06aa3102f630eeff127195693810e8"> 1309</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a5d06aa3102f630eeff127195693810e8">ClLayerSupport::IsPermuteSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01314"></a><span class="lineno"> 1314</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>
<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160;}</div>
<div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160; </div>
<div class="line"><a name="l01317"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a5e11a11243484e16c20247e3e0d4f890"> 1317</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a5e11a11243484e16c20247e3e0d4f890">ClLayerSupport::IsPooling2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01322"></a><span class="lineno"> 1322</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>
<div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>&#160;}</div>
<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160; </div>
<div class="line"><a name="l01325"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a677818beaa9f767c7fb0442fb9db2881"> 1325</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a677818beaa9f767c7fb0442fb9db2881">ClLayerSupport::IsPooling3dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.html">Pooling3dDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01330"></a><span class="lineno"> 1330</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>
<div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160;}</div>
<div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160; </div>
<div class="line"><a name="l01333"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370"> 1333</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a98b405bfcfb15d1aa09042ffc370f370">ClLayerSupport::IsPreluSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;input,</div>
<div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;alpha,</div>
<div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;output,</div>
<div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;std::string &amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01338"></a><span class="lineno"> 1338</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>
<div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160;}</div>
<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160; </div>
<div class="line"><a name="l01341"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe"> 1341</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a07cd270641b5876471c8ba9e77bc3abe">ClLayerSupport::IsQLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; previousOutputIn,</div>
<div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; previousCellStateIn,</div>
<div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateOut,</div>
<div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateOut,</div>
<div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a>&amp; paramsInfo,</div>
<div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160; <span class="keywordflow">if</span> (input.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &amp;&amp;</div>
<div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160; previousOutputIn.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &amp;&amp;</div>
<div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160; previousCellStateIn.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &amp;&amp;</div>
<div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160; outputStateOut.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &amp;&amp;</div>
<div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160; cellStateOut.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &amp;&amp;</div>
<div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160; output.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>)</div>
<div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160; {</div>
<div class="line"><a name="l01358"></a><span class="lineno"> 1358</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>
<div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160; input,</div>
<div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>&#160; previousCellStateIn,</div>
<div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160; previousOutputIn,</div>
<div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>&#160; cellStateOut,</div>
<div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160; outputStateOut,</div>
<div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>&#160; output,</div>
<div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160; descriptor,</div>
<div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160; paramsInfo);</div>
<div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160; }</div>
<div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160; {</div>
<div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160; }</div>
<div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>&#160;}</div>
<div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160; </div>
<div class="line"><a name="l01375"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#aad6eabce66fdae7c3389450e9dc75df9"> 1375</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aad6eabce66fdae7c3389450e9dc75df9">ClLayerSupport::IsQuantizedLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; previousCellStateIn,</div>
<div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; previousOutputIn,</div>
<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateOut,</div>
<div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a>&amp; paramsInfo,</div>
<div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01383"></a><span class="lineno"> 1383</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>
<div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160; input,</div>
<div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160; previousCellStateIn,</div>
<div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>&#160; previousOutputIn,</div>
<div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160; cellStateOut,</div>
<div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160; output,</div>
<div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160; paramsInfo);</div>
<div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160;}</div>
<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160; </div>
<div class="line"><a name="l01393"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a7c739d08cf4fe3f9adef635be0544362"> 1393</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a7c739d08cf4fe3f9adef635be0544362">ClLayerSupport::IsQuantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01397"></a><span class="lineno"> 1397</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>
<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160; input,</div>
<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160; output);</div>
<div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160;}</div>
<div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160; </div>
<div class="line"><a name="l01403"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#aa253f9963038f4d68877caf6a9a091b4"> 1403</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aa253f9963038f4d68877caf6a9a091b4">ClLayerSupport::IsReduceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01408"></a><span class="lineno"> 1408</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>
<div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160; input,</div>
<div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160; output,</div>
<div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160; descriptor);</div>
<div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160;}</div>
<div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160; </div>
<div class="line"><a name="l01415"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ae96fb1672cadd4e9b87809004799b6da"> 1415</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ae96fb1672cadd4e9b87809004799b6da">ClLayerSupport::IsReshapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div>
<div class="line"><a name="l01421"></a><span class="lineno"> 1421</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>
<div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160;}</div>
<div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160; </div>
<div class="line"><a name="l01424"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a85e08ffdec56499a2f78859229b51aa4"> 1424</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a85e08ffdec56499a2f78859229b51aa4">ClLayerSupport::IsResizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01429"></a><span class="lineno"> 1429</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>
<div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160;}</div>
<div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160; </div>
<div class="line"><a name="l01432"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#ade477ece5a23f14601f73127ba6b9f90"> 1432</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#ade477ece5a23f14601f73127ba6b9f90">ClLayerSupport::IsReverseV2Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; axis,</div>
<div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01437"></a><span class="lineno"> 1437</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>
<div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160; input,</div>
<div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160; axis,</div>
<div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160; output);</div>
<div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>&#160;}</div>
<div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>&#160; </div>
<div class="line"><a name="l01444"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83"> 1444</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a29d47a3b7a5f312d858c2a1c67905a83">ClLayerSupport::IsSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01449"></a><span class="lineno"> 1449</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>
<div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160;}</div>
<div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160; </div>
<div class="line"><a name="l01452"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#abc2d31208c6bcced31369b024eee3b65"> 1452</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abc2d31208c6bcced31369b024eee3b65">ClLayerSupport::IsSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01457"></a><span class="lineno"> 1457</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>
<div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>&#160;}</div>
<div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>&#160; </div>
<div class="line"><a name="l01460"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861"> 1460</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#aeef91cdb55b6cd1cbda03f42553fb861">ClLayerSupport::IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01465"></a><span class="lineno"> 1465</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>
<div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160; input,</div>
<div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>&#160; output,</div>
<div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160; descriptor);</div>
<div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>&#160;}</div>
<div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>&#160; </div>
<div class="line"><a name="l01472"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#abd0c6ea3807227b94374ff321a47284d"> 1472</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abd0c6ea3807227b94374ff321a47284d">ClLayerSupport::IsSpaceToDepthSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01477"></a><span class="lineno"> 1477</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>
<div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>&#160; input,</div>
<div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>&#160; output,</div>
<div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>&#160; descriptor);</div>
<div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160;}</div>
<div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160; </div>
<div class="line"><a name="l01484"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a9b9c3c80d296907362f8b407b6a20727"> 1484</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a9b9c3c80d296907362f8b407b6a20727">ClLayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>&#160; <span class="keyword">const</span> std::vector&lt;std::reference_wrapper&lt;TensorInfo&gt;&gt;&amp; outputs,</div>
<div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160;<span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div>
<div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160; <span class="comment">// Split along the last dimension, cannot use sub-tensors</span></div>
<div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; <span class="comment">// as width and height of the sub-tensors do not match</span></div>
<div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160; <span class="comment">// the width and height of the parent tensor</span></div>
<div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160; <span class="comment">// in case of input with more than 2D.</span></div>
<div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160; std::set&lt;unsigned int&gt; splitAxis = <a class="code" href="namespacearmnn.html#a8cbabc875597b3bed0ccdc0adb289fde">ComputeSplitAxis</a>(descriptor, input.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div>
<div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() &gt; 2 &amp;&amp; splitAxis.size() == 1 &amp;&amp;</div>
<div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160; *splitAxis.begin() == descriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - 1 )</div>
<div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160; {</div>
<div class="line"><a name="l01498"></a><span class="lineno"> 1498</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>
<div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160; input,</div>
<div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160; outputs,</div>
<div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160; *splitAxis.begin());</div>
<div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160; }</div>
<div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div>
<div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : outputs)</div>
<div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160; {</div>
<div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160; <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1">IsTypeSpaceMatch</a>(output)) <span class="comment">// Cannot use sub-tensors if the types are not same space</span></div>
<div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>&#160; {</div>
<div class="line"><a name="l01510"></a><span class="lineno"> 1510</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>
<div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>&#160; }</div>
<div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160; }</div>
<div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>&#160;}</div>
<div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160; </div>
<div class="line"><a name="l01517"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4"> 1517</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#abd5430fb7e3f330b675a797d690e6eb4">ClLayerSupport::IsStackSupported</a>(<span class="keyword">const</span> std::vector&lt;const TensorInfo*&gt;&amp; inputs,</div>
<div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01522"></a><span class="lineno"> 1522</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>
<div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160; inputs,</div>
<div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>&#160; output,</div>
<div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160; descriptor);</div>
<div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>&#160;}</div>
<div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160; </div>
<div class="line"><a name="l01529"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b"> 1529</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a227f01f31ce42d62f160d49d5d044a3b">ClLayerSupport::IsStridedSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01534"></a><span class="lineno"> 1534</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>
<div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; input,</div>
<div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160; output,</div>
<div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160; descriptor);</div>
<div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160;}</div>
<div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>&#160; </div>
<div class="line"><a name="l01541"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c"> 1541</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a6e14b055cf3d72d4de0cc9f68616925c">ClLayerSupport::IsSubtractionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01546"></a><span class="lineno"> 1546</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>
<div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160; input0,</div>
<div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160; input1,</div>
<div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160; output,</div>
<div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160; <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>&#160;}</div>
<div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>&#160; </div>
<div class="line"><a name="l01554"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a27b8700a838b8018acb22cf38570b997"> 1554</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a27b8700a838b8018acb22cf38570b997">ClLayerSupport::IsTileSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160;<span class="keyword"></span>{</div>
<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#a44d0d727df44d696742871b343db5757">ClTileWorkloadValidate</a>,</div>
<div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>&#160; input,</div>
<div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>&#160; output,</div>
<div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>&#160; descriptor);</div>
<div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>&#160;}</div>
<div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>&#160; </div>
<div class="line"><a name="l01566"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea"> 1566</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a161bd30613088b5f2c8d4f5234ceacea">ClLayerSupport::IsTransposeConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; weights,</div>
<div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a>&amp; biases,</div>
<div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01573"></a><span class="lineno"> 1573</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>
<div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160; input,</div>
<div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160; output,</div>
<div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160; descriptor,</div>
<div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>&#160; weights,</div>
<div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>&#160; biases);</div>
<div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>&#160;}</div>
<div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>&#160; </div>
<div class="line"><a name="l01582"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b"> 1582</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a1a431d200c1ab85913cac36539d9ca3b">ClLayerSupport::IsTransposeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01587"></a><span class="lineno"> 1587</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>
<div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160;}</div>
<div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160; </div>
<div class="line"><a name="l01590"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.html#a8bf8e20faa2d906c0c84fc7b88bad67a"> 1590</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.html#a8bf8e20faa2d906c0c84fc7b88bad67a">ClLayerSupport::IsUnidirectionalSequenceLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateIn,</div>
<div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateIn,</div>
<div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateOut,</div>
<div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateOut,</div>
<div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">UnidirectionalSequenceLstmDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a>&amp; paramsInfo,</div>
<div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported)<span class="keyword"> const</span></div>
<div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01600"></a><span class="lineno"> 1600</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>
<div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>&#160; reasonIfUnsupported,</div>
<div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>&#160; input,</div>
<div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>&#160; outputStateIn,</div>
<div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>&#160; cellStateIn,</div>
<div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>&#160; outputStateOut,</div>
<div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>&#160; cellStateOut,</div>
<div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>&#160; output,</div>
<div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>&#160; descriptor,</div>
<div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>&#160; paramsInfo);</div>
<div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>&#160;}</div>
<div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>&#160; </div>
<div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>&#160;} <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00828">Descriptors.hpp:828</a></div></div>
<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>
<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#l01317">ClLayerSupport.cpp:1317</a></div></div>
<div class="ttc" id="a_cl_pooling3d_workload_8hpp_html"><div class="ttname"><a href="_cl_pooling3d_workload_8hpp.html">ClPooling3dWorkload.hpp</a></div></div>
<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#l00749">ClLayerSupport.cpp:749</a></div></div>
<div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00162">Descriptors.cpp:162</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_views_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00244">Descriptors.hpp:244</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00507">Descriptors.hpp:507</a></div></div>
<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>
<div class="ttc" id="a_cl_constant_workload_8hpp_html"><div class="ttname"><a href="_cl_constant_workload_8hpp.html">ClConstantWorkload.hpp</a></div></div>
<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#l01258">ClLayerSupport.cpp:1258</a></div></div>
<div class="ttc" id="a_cl_depthwise_convolution_workload_8hpp_html"><div class="ttname"><a href="_cl_depthwise_convolution_workload_8hpp.html">ClDepthwiseConvolutionWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="a_cl_arg_min_max_workload_8hpp_html"><div class="ttname"><a href="_cl_arg_min_max_workload_8hpp.html">ClArgMinMaxWorkload.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01380">Descriptors.hpp:1380</a></div></div>
<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#l01333">ClLayerSupport.cpp:1333</a></div></div>
<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>
<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
<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#l00887">ClLayerSupport.cpp:887</a></div></div>
<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#l01210">ClLayerSupport.cpp:1210</a></div></div>
<div class="ttc" id="a_cl_log_workload_8hpp_html"><div class="ttname"><a href="_cl_log_workload_8hpp.html">ClLogWorkload.hpp</a></div></div>
<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#l00818">ClLayerSupport.cpp:818</a></div></div>
<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>
<div class="ttc" id="a_cl_elementwise_binary_workload_8hpp_html"><div class="ttname"><a href="_cl_elementwise_binary_workload_8hpp.html">ClElementwiseBinaryWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="a_cl_log_softmax_workload_8hpp_html"><div class="ttname"><a href="_cl_log_softmax_workload_8hpp.html">ClLogSoftmaxWorkload.hpp</a></div></div>
<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>
<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#l00151">ClLayerSupport.cpp:151</a></div></div>
<div class="ttc" id="a_cl_depth_to_space_workload_8hpp_html"><div class="ttname"><a href="_cl_depth_to_space_workload_8hpp.html">ClDepthToSpaceWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00431">Descriptors.hpp:431</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_resize_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00985">Descriptors.hpp:985</a></div></div>
<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00067">Descriptors.hpp:67</a></div></div>
<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>
<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#l00708">ClLayerSupport.cpp:708</a></div></div>
<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00847">Descriptors.hpp:847</a></div></div>
<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#l00734">ClLayerSupport.cpp:734</a></div></div>
<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>
<div class="ttc" id="a_cl_quantized_lstm_workload_8hpp_html"><div class="ttname"><a href="_cl_quantized_lstm_workload_8hpp.html">ClQuantizedLstmWorkload.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_gather_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.html">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00965">Descriptors.hpp:965</a></div></div>
<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>
<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>
<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>
<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>
<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#l01234">ClLayerSupport.cpp:1234</a></div></div>
<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#l00031">ClSplitterWorkload.cpp:31</a></div></div>
<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#l00696">ClLayerSupport.cpp:696</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00809">Descriptors.hpp:809</a></div></div>
<div class="ttc" id="a_cl_unidirectional_sequence_lstm_float_workload_8hpp_html"><div class="ttname"><a href="_cl_unidirectional_sequence_lstm_float_workload_8hpp.html">ClUnidirectionalSequenceLstmFloatWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_cl_normalization_float_workload_8hpp.html">ClNormalizationFloatWorkload.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="a_cl_layer_support_8hpp_html"><div class="ttname"><a href="_cl_layer_support_8hpp.html">ClLayerSupport.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00192">Descriptors.cpp:192</a></div></div>
<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>
<div class="ttc" id="a_cl_reverse_v2_workload_8hpp_html"><div class="ttname"><a href="_cl_reverse_v2_workload_8hpp.html">ClReverseV2Workload.hpp</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00769">Descriptors.hpp:769</a></div></div>
<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#l01291">ClLayerSupport.cpp:1291</a></div></div>
<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>
<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>
<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#l00975">ClLayerSupport.cpp:975</a></div></div>
<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#l01297">ClLayerSupport.cpp:1297</a></div></div>
<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#l01097">ClLayerSupport.cpp:1097</a></div></div>
<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>
<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#l01170">ClLayerSupport.cpp:1170</a></div></div>
<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01562">Descriptors.hpp:1562</a></div></div>
<div class="ttc" id="a_cl_pooling2d_workload_8hpp_html"><div class="ttname"><a href="_cl_pooling2d_workload_8hpp.html">ClPooling2dWorkload.hpp</a></div></div>
<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>
<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>
<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>
<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>
<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>
<div class="ttc" id="a_cl_reduce_workload_8hpp_html"><div class="ttname"><a href="_cl_reduce_workload_8hpp.html">ClReduceWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_mean_workload_8hpp_html"><div class="ttname"><a href="_cl_mean_workload_8hpp.html">ClMeanWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="a_cl_sin_workload_8hpp_html"><div class="ttname"><a href="_cl_sin_workload_8hpp.html">ClSinWorkload.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="a_cl_resize_workload_8hpp_html"><div class="ttname"><a href="_cl_resize_workload_8hpp.html">ClResizeWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_comparison_workload_8hpp_html"><div class="ttname"><a href="_cl_comparison_workload_8hpp.html">ClComparisonWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_prelu_workload_8hpp_html"><div class="ttname"><a href="_cl_prelu_workload_8hpp.html">ClPreluWorkload.hpp</a></div></div>
<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#l01283">ClLayerSupport.cpp:1283</a></div></div>
<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#l01403">ClLayerSupport.cpp:1403</a></div></div>
<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>
<div class="ttc" id="a_backend_registry_8hpp_html"><div class="ttname"><a href="_backend_registry_8hpp.html">BackendRegistry.hpp</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_stack_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01251">Descriptors.hpp:1251</a></div></div>
<div class="ttc" id="a_ignore_unused_8hpp_html"><div class="ttname"><a href="_ignore_unused_8hpp.html">IgnoreUnused.hpp</a></div></div>
<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>
<div class="ttc" id="a_cl_cast_workload_8hpp_html"><div class="ttname"><a href="_cl_cast_workload_8hpp.html">ClCastWorkload.hpp</a></div></div>
<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>
<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#l01444">ClLayerSupport.cpp:1444</a></div></div>
<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>
<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>
<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>
<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_ac1dc1384ae65a68453cd3f5fd4a6adbd"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#ac1dc1384ae65a68453cd3f5fd4a6adbd">armnn::ClLayerSupport::ClLayerSupport</a></div><div class="ttdeci">ClLayerSupport()</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00182">ClLayerSupport.cpp:182</a></div></div>
<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>
<div class="ttc" id="anamespacearmnn_html_a8cbabc875597b3bed0ccdc0adb289fde"><div class="ttname"><a href="namespacearmnn.html#a8cbabc875597b3bed0ccdc0adb289fde">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="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00246">ArmComputeUtils.hpp:246</a></div></div>
<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>
<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#l01452">ClLayerSupport.cpp:1452</a></div></div>
<div class="ttc" id="a_cl_batch_to_space_nd_workload_8hpp_html"><div class="ttname"><a href="_cl_batch_to_space_nd_workload_8hpp.html">ClBatchToSpaceNdWorkload.hpp</a></div></div>
<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>
<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#l01246">ClLayerSupport.cpp:1246</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div>
<div class="ttc" id="anamespacearmnn_html_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>
<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#l00792">ClLayerSupport.cpp:792</a></div></div>
<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#l00867">ClLayerSupport.cpp:867</a></div></div>
<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#l01087">ClLayerSupport.cpp:1087</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00119">QuantizedLstmParams.hpp:119</a></div></div>
<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>
<div class="ttc" id="a_cl_division_workload_8hpp_html"><div class="ttname"><a href="_cl_division_workload_8hpp.html">ClDivisionWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_gather_nd_workload_8hpp_html"><div class="ttname"><a href="_cl_gather_nd_workload_8hpp.html">ClGatherNdWorkload.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="a_cl_backend_model_context_8hpp_html"><div class="ttname"><a href="_cl_backend_model_context_8hpp.html">ClBackendModelContext.hpp</a></div></div>
<div class="ttc" id="a_layer_support_common_8hpp_html"><div class="ttname"><a href="_layer_support_common_8hpp.html">LayerSupportCommon.hpp</a></div></div>
<div class="ttc" id="a_cl_gather_workload_8hpp_html"><div class="ttname"><a href="_cl_gather_workload_8hpp.html">ClGatherWorkload.hpp</a></div></div>
<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#l01393">ClLayerSupport.cpp:1393</a></div></div>
<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>
<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>
<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>
<div class="ttc" id="a_cl_exp_workload_8hpp_html"><div class="ttname"><a href="_cl_exp_workload_8hpp.html">ClExpWorkload.hpp</a></div></div>
<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#l01270">ClLayerSupport.cpp:1270</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_backend_model_context_html"><div class="ttname"><a href="classarmnn_1_1_cl_backend_model_context.html">armnn::ClBackendModelContext</a></div><div class="ttdoc">The ClBackendModelContext is used to pass in CL specific backend ModelOptions.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_model_context_8hpp_source.html#l00028">ClBackendModelContext.hpp:28</a></div></div>
<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#l01566">ClLayerSupport.cpp:1566</a></div></div>
<div class="ttc" id="a_cl_instance_normalization_workload_8hpp_html"><div class="ttname"><a href="_cl_instance_normalization_workload_8hpp.html">ClInstanceNormalizationWorkload.hpp</a></div></div>
<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>
<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>
<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>
<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#l01146">ClLayerSupport.cpp:1146</a></div></div>
<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>
<div class="ttc" id="a_cl_activation_workload_8hpp_html"><div class="ttname"><a href="_cl_activation_workload_8hpp.html">ClActivationWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_transpose_convolution2d_workload_8hpp_html"><div class="ttname"><a href="_cl_transpose_convolution2d_workload_8hpp.html">ClTransposeConvolution2dWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_dequantize_workload_8hpp_html"><div class="ttname"><a href="_cl_dequantize_workload_8hpp.html">ClDequantizeWorkload.hpp</a></div></div>
<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>
<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>
<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#l01472">ClLayerSupport.cpp:1472</a></div></div>
<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#l01415">ClLayerSupport.cpp:1415</a></div></div>
<div class="ttc" id="a_cl_space_to_batch_nd_workload_8hpp_html"><div class="ttname"><a href="_cl_space_to_batch_nd_workload_8hpp.html">ClSpaceToBatchNdWorkload.hpp</a></div></div>
<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>
<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>
<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>
<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>
<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_a15dd64e49fe95a482dc93d3af8ac108c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#a15dd64e49fe95a482dc93d3af8ac108c">armnn::ClLayerSupport::IsLayerSupported</a></div><div class="ttdeci">bool IsLayerSupported(const LayerType &amp;type, const std::vector&lt; TensorInfo &gt; &amp;infos, const BaseDescriptor &amp;descriptor, const Optional&lt; LstmInputParamsInfo &gt; &amp;lstmParamsInfo, const Optional&lt; QuantizedLstmInputParamsInfo &gt; &amp;quantizedLstmParamsInfo, Optional&lt; std::string &amp; &gt; reasonIfUnsupported) const</div><div class="ttdoc">Default implementation of the ILayerSupport interface, Backends should implement this as a switch sta...</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00187">ClLayerSupport.cpp:187</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_html_a32c95d929d2e2e0fa7fc1a3a25865eb0"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.html#a32c95d929d2e2e0fa7fc1a3a25865eb0">armnn::LogicalBinaryDescriptor::m_Operation</a></div><div class="ttdeci">LogicalBinaryOperation m_Operation</div><div class="ttdoc">Specifies the logical operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01534">Descriptors.hpp:1534</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_pad_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01196">Descriptors.hpp:1196</a></div></div>
<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>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.html">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01490">Descriptors.hpp:1490</a></div></div>
<div class="ttc" id="a_cl_slice_workload_8hpp_html"><div class="ttname"><a href="_cl_slice_workload_8hpp.html">ClSliceWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_transpose_workload_8hpp_html"><div class="ttname"><a href="_cl_transpose_workload_8hpp.html">ClTransposeWorkload.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="a_cl_strided_slice_workload_8hpp_html"><div class="ttname"><a href="_cl_strided_slice_workload_8hpp.html">ClStridedSliceWorkload.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01228">Descriptors.hpp:1228</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div>
<div class="ttc" id="a_cl_l2_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_cl_l2_normalization_float_workload_8hpp.html">ClL2NormalizationFloatWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a22f377fc4e10dc1773a3f979061e85f1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1">armnn::TensorInfo::IsTypeSpaceMatch</a></div><div class="ttdeci">bool IsTypeSpaceMatch(const TensorInfo &amp;other) const</div><div class="ttdoc">Check that the types are the same and, if quantize, that the quantization parameters are the same.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00432">Tensor.cpp:432</a></div></div>
<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#l01590">ClLayerSupport.cpp:1590</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01023">Descriptors.hpp:1023</a></div></div>
<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>
<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#l00804">ClLayerSupport.cpp:804</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<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>
<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>
<div class="ttc" id="a_cl_concat_workload_8hpp_html"><div class="ttname"><a href="_cl_concat_workload_8hpp.html">ClConcatWorkload.hpp</a></div></div>
<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#l01325">ClLayerSupport.cpp:1325</a></div></div>
<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>
<div class="ttc" id="a_cl_convert_fp16_to_fp32_workload_8hpp_html"><div class="ttname"><a href="_cl_convert_fp16_to_fp32_workload_8hpp.html">ClConvertFp16ToFp32Workload.hpp</a></div></div>
<div class="ttc" id="a_cl_fully_connected_workload_8hpp_html"><div class="ttname"><a href="_cl_fully_connected_workload_8hpp.html">ClFullyConnectedWorkload.hpp</a></div></div>
<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>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00149">Descriptors.hpp:149</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01584">Descriptors.hpp:1584</a></div></div>
<div class="ttc" id="a_cl_space_to_depth_workload_8hpp_html"><div class="ttname"><a href="_cl_space_to_depth_workload_8hpp.html">ClSpaceToDepthWorkload.hpp</a></div></div>
<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>
<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>
<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>
<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>
<div class="ttc" id="a_cl_neg_workload_8hpp_html"><div class="ttname"><a href="_cl_neg_workload_8hpp.html">ClNegWorkload.hpp</a></div></div>
<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#l01582">ClLayerSupport.cpp:1582</a></div></div>
<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#l01554">ClLayerSupport.cpp:1554</a></div></div>
<div class="ttc" id="a_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01043">Descriptors.hpp:1043</a></div></div>
<div class="ttc" id="a_cl_logical_not_workload_8hpp_html"><div class="ttname"><a href="_cl_logical_not_workload_8hpp.html">ClLogicalNotWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_lstm_float_workload_8hpp_html"><div class="ttname"><a href="_cl_lstm_float_workload_8hpp.html">ClLstmFloatWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00588">Descriptors.hpp:588</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_base_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00022">Descriptors.hpp:22</a></div></div>
<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>
<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>
<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#l01460">ClLayerSupport.cpp:1460</a></div></div>
<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>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div>
<div class="ttc" id="a_cl_quantize_workload_8hpp_html"><div class="ttname"><a href="_cl_quantize_workload_8hpp.html">ClQuantizeWorkload.hpp</a></div></div>
<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#l01158">ClLayerSupport.cpp:1158</a></div></div>
<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#l00782">ClLayerSupport.cpp:782</a></div></div>
<div class="ttc" id="a_cl_batch_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_cl_batch_normalization_float_workload_8hpp.html">ClBatchNormalizationFloatWorkload.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div>
<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>
<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>
<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>
<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>
<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#l01010">ClLayerSupport.cpp:1010</a></div></div>
<div class="ttc" id="a_cl_logical_and_workload_8hpp_html"><div class="ttname"><a href="_cl_logical_and_workload_8hpp.html">ClLogicalAndWorkload.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00875">Descriptors.hpp:875</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00534">Descriptors.hpp:534</a></div></div>
<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00089">Descriptors.hpp:89</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fill_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00925">Descriptors.hpp:925</a></div></div>
<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>
<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#l01140">ClLayerSupport.cpp:1140</a></div></div>
<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#l00963">ClLayerSupport.cpp:963</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_html_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00145">Descriptors.hpp:145</a></div></div>
<div class="ttc" id="a_cl_pad_workload_8hpp_html"><div class="ttname"><a href="_cl_pad_workload_8hpp.html">ClPadWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_convolution2d_workload_8hpp_html"><div class="ttname"><a href="_cl_convolution2d_workload_8hpp.html">ClConvolution2dWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_rsqrt_workload_8hpp_html"><div class="ttname"><a href="_cl_rsqrt_workload_8hpp.html">ClRsqrtWorkload.hpp</a></div></div>
<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>
<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>
<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#l00721">ClLayerSupport.cpp:721</a></div></div>
<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>
<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#l00770">ClLayerSupport.cpp:770</a></div></div>
<div class="ttc" id="a_cl_convert_fp32_to_fp16_workload_8hpp_html"><div class="ttname"><a href="_cl_convert_fp32_to_fp16_workload_8hpp.html">ClConvertFp32ToFp16Workload.hpp</a></div></div>
<div class="ttc" id="a_cl_backend_id_8hpp_html"><div class="ttname"><a href="_cl_backend_id_8hpp.html">ClBackendId.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div>
<div class="ttc" id="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#l01023">ClLayerSupport.cpp:1023</a></div></div>
<div class="ttc" id="a_cl_addition_workload_8hpp_html"><div class="ttname"><a href="_cl_addition_workload_8hpp.html">ClAdditionWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="a_cl_convolution3d_workload_8hpp_html"><div class="ttname"><a href="_cl_convolution3d_workload_8hpp.html">ClConvolution3dWorkload.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div>
<div class="ttc" id="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#l01424">ClLayerSupport.cpp:1424</a></div></div>
<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>
<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>
<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>
<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#l01075">ClLayerSupport.cpp:1075</a></div></div>
<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#l00920">ClLayerSupport.cpp:920</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01102">Descriptors.hpp:1102</a></div></div>
<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01303">Descriptors.hpp:1303</a></div></div>
<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>
<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>
<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div>
<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#l01375">ClLayerSupport.cpp:1375</a></div></div>
<div class="ttc" id="a_cl_minimum_workload_8hpp_html"><div class="ttname"><a href="_cl_minimum_workload_8hpp.html">ClMinimumWorkload.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.html">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01518">Descriptors.hpp:1518</a></div></div>
<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#l01541">ClLayerSupport.cpp:1541</a></div></div>
<div class="ttc" id="a_cl_stack_workload_8hpp_html"><div class="ttname"><a href="_cl_stack_workload_8hpp.html">ClStackWorkload.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
<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>
<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#l01309">ClLayerSupport.cpp:1309</a></div></div>
<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>
<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>
<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#l01128">ClLayerSupport.cpp:1128</a></div></div>
<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>
<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>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_views_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">armnn::ViewsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00306">Descriptors.cpp:306</a></div></div>
<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>
<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>
<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>
<div class="ttc" id="a_cl_splitter_workload_8hpp_html"><div class="ttname"><a href="_cl_splitter_workload_8hpp.html">ClSplitterWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="a_cl_batch_mat_mul_workload_8hpp_html"><div class="ttname"><a href="_cl_batch_mat_mul_workload_8hpp.html">ClBatchMatMulWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="anamespacearmnn_html_a23a5267702f036fe70a34f91e6c07490"><div class="ttname"><a href="namespacearmnn.html#a23a5267702f036fe70a34f91e6c07490">armnn::IsSupportedForDataTypeGeneric</a></div><div class="ttdeci">bool IsSupportedForDataTypeGeneric(Optional&lt; std::string &amp; &gt; reasonIfUnsupported, DataType dataType, Float16Func float16FuncPtr, Float32Func float32FuncPtr, Uint8Func uint8FuncPtr, Int32Func int32FuncPtr, BooleanFunc booleanFuncPtr, Params &amp;&amp;... params)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.html#l00027">LayerSupportCommon.hpp:27</a></div></div>
<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#l01484">ClLayerSupport.cpp:1484</a></div></div>
<div class="ttc" id="a_cl_maximum_workload_8hpp_html"><div class="ttname"><a href="_cl_maximum_workload_8hpp.html">ClMaximumWorkload.hpp</a></div></div>
<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>
<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>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_origins_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00201">Descriptors.hpp:201</a></div></div>
<div class="ttc" id="a_cl_subtraction_workload_8hpp_html"><div class="ttname"><a href="_cl_subtraction_workload_8hpp.html">ClSubtractionWorkload.hpp</a></div></div>
<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#l00953">ClLayerSupport.cpp:953</a></div></div>
<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>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00129">Descriptors.hpp:129</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01440">Descriptors.hpp:1440</a></div></div>
<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>
<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>
<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#l01114">ClLayerSupport.cpp:1114</a></div></div>
<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>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00063">LstmParams.hpp:63</a></div></div>
<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>
<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>
<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>
<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>
<div class="ttc" id="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
<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>
<div class="ttc" id="a_internal_types_8hpp_html"><div class="ttname"><a href="_internal_types_8hpp.html">InternalTypes.hpp</a></div></div>
<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#l01529">ClLayerSupport.cpp:1529</a></div></div>
<div class="ttc" id="a_cl_multiplication_workload_8hpp_html"><div class="ttname"><a href="_cl_multiplication_workload_8hpp.html">ClMultiplicationWorkload.hpp</a></div></div>
<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#l01517">ClLayerSupport.cpp:1517</a></div></div>
<div class="ttc" id="a_cl_abs_workload_8hpp_html"><div class="ttname"><a href="_cl_abs_workload_8hpp.html">ClAbsWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_tile_workload_8hpp_html"><div class="ttname"><a href="_cl_tile_workload_8hpp.html">ClTileWorkload.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
<div class="ttc" id="a_cl_reshape_workload_8hpp_html"><div class="ttname"><a href="_cl_reshape_workload_8hpp.html">ClReshapeWorkload.hpp</a></div></div>
<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>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div>
<div class="ttc" id="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#l01198">ClLayerSupport.cpp:1198</a></div></div>
<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>
<div class="ttc" id="a_cl_softmax_workload_8hpp_html"><div class="ttname"><a href="_cl_softmax_workload_8hpp.html">ClSoftmaxWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_fill_workload_8hpp_html"><div class="ttname"><a href="_cl_fill_workload_8hpp.html">ClFillWorkload.hpp</a></div></div>
<div class="ttc" id="a_cl_floor_float_workload_8hpp_html"><div class="ttname"><a href="_cl_floor_float_workload_8hpp.html">ClFloorFloatWorkload.hpp</a></div></div>
<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>
<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#l00859">ClLayerSupport.cpp:859</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div>
<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00371">Descriptors.hpp:371</a></div></div>
<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>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00659">Descriptors.hpp:659</a></div></div>
<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>
<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>
<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>
<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>
<div class="ttc" id="a_cl_logical_or_workload_8hpp_html"><div class="ttname"><a href="_cl_logical_or_workload_8hpp.html">ClLogicalOrWorkload.hpp</a></div></div>
<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>
<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>
<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01538">Descriptors.hpp:1538</a></div></div>
<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>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
<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>
<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>
<div class="ttc" id="a_cl_permute_workload_8hpp_html"><div class="ttname"><a href="_cl_permute_workload_8hpp.html">ClPermuteWorkload.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_mean_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01172">Descriptors.hpp:1172</a></div></div>
<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>
<div class="ttc" id="a_cl_sqrt_workload_8hpp_html"><div class="ttname"><a href="_cl_sqrt_workload_8hpp.html">ClSqrtWorkload.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch&lt; std::is_reference&lt; T &gt;::value, T &gt;::value</a></div><div class="ttdeci">const T &amp; value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="astructarmnn_1_1_tile_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html">armnn::TileDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01640">Descriptors.hpp:1640</a></div></div>
<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>
<div class="ttc" id="a_cl_q_lstm_workload_8hpp_html"><div class="ttname"><a href="_cl_q_lstm_workload_8hpp.html">ClQLstmWorkload.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00177">Descriptors.hpp:177</a></div></div>
<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#l01432">ClLayerSupport.cpp:1432</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_layer_support_html_aa1caadf76e5ebf10d6875564dcff19ac"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.html#aa1caadf76e5ebf10d6875564dcff19ac">armnn::ClLayerSupport::IsDilatedDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDilatedDepthwiseConvolutionSupported(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; reason=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.html#l00992">ClLayerSupport.cpp:992</a></div></div>
<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>
<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">armnn::IBackendInternal::IBackendSpecificModelContextPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IBackendModelContext &gt; IBackendSpecificModelContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00096">IBackendInternal.hpp:96</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01075">Descriptors.hpp:1075</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
<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#l00877">ClLayerSupport.cpp:877</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_backend_model_context_html_abfe9aa4fa74aca0f9a925752bbbb0f79"><div class="ttname"><a href="classarmnn_1_1_cl_backend_model_context.html#abfe9aa4fa74aca0f9a925752bbbb0f79">armnn::ClBackendModelContext::IsFastMathEnabled</a></div><div class="ttdeci">bool IsFastMathEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_model_context_8cpp_source.html#l00066">ClBackendModelContext.cpp:66</a></div></div>
<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#l01341">ClLayerSupport.cpp:1341</a></div></div>
<div class="ttc" id="a_cl_channel_shuffle_workload_8hpp_html"><div class="ttname"><a href="_cl_channel_shuffle_workload_8hpp.html">ClChannelShuffleWorkload.hpp</a></div></div>
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