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| <div class="title">ClGatherNdWorkload.cpp</div> </div> |
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| <a href="_cl_gather_nd_workload_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> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022-2024 Arm Ltd and Contributors. All rights reserved.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_cl_gather_nd_workload_8hpp.html">ClGatherNdWorkload.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a>"</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_workload_utils_8hpp.html">backendsCommon/WorkloadUtils.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">using namespace </span>armnn::armcomputetensorutils;</div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div> |
| <div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn.html#adc7c6ed4375eb58ea8fa20d6ec704a27"> 16</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#adc7c6ed4375eb58ea8fa20d6ec704a27">ClGatherNdWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& paramsInfo,</div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& indicesInfo,</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo)</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="comment">// Calculate ND, K, W, C.</span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  std::map<std::string, unsigned int> keyIndices = <a class="code" href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">CalculateGatherNdKeyIndices</a>(paramsInfo, indicesInfo);</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> /// Validate Mul</span></div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"></span> <span class="comment">// Indices with shape { W, ND }</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> indices_W_ND_Info = indicesInfo;</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  indices_W_ND_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] });</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclIndicesInfo = BuildArmComputeTensorInfo(indices_W_ND_Info);</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="comment">// Flattened coefficients with shape { ND }</span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> flattenedCoeff_Info = indicesInfo;</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  flattenedCoeff_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"ND"</span>] });</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclFlattenedCoeffInfo = BuildArmComputeTensorInfo(flattenedCoeff_Info);</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="comment">// Output of Mul with shape { W, ND }</span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputMulInfo = BuildArmComputeTensorInfo(indices_W_ND_Info);</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  </div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">auto</span> statusMul = arm_compute::CLPixelWiseMultiplication::validate(&aclIndicesInfo,</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  &aclFlattenedCoeffInfo,</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  &aclOutputMulInfo,</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  1.0f,</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  arm_compute::ConvertPolicy::WRAP,</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  arm_compute::RoundingPolicy::TO_ZERO,</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  arm_compute::ActivationLayerInfo());</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> /// Validate ReduceSum</span></div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"></span> <span class="comment">// Flattened indices with shape { W }</span></div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> flattenedIndices_Info = indicesInfo;</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  flattenedIndices_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>] });</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclFlattenedIndicesInfo = BuildArmComputeTensorInfo(flattenedIndices_Info);</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">const</span> std::vector<unsigned int> armnnReduceAxes(1, 1);</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(aclOutputMulInfo.num_dimensions(),</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  indices_W_ND_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  armnnReduceAxes);</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  </div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">auto</span> statusReduceSum = arm_compute::CLReductionOperation::validate(&aclOutputMulInfo,</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  &aclFlattenedIndicesInfo,</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  arm_compute::ReductionOperation::SUM,</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">false</span>);</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> /// Validate Gather</span></div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"></span> <span class="comment">// Params with shape { K, C }</span></div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> params_K_C_Info = paramsInfo;</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  params_K_C_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"K"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclParamsInfo = BuildArmComputeTensorInfo(params_K_C_Info);</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  </div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Output of gather with shape { W, C }</span></div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputGather_Info = outputInfo;</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  outputGather_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputGatherInfo = BuildArmComputeTensorInfo(outputGather_Info);</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">auto</span> aclAxis = <a class="code" href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">ComputeAclAxis</a>(0, params_K_C_Info);</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">auto</span> statusGather =</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  arm_compute::CLGather::validate(&aclParamsInfo, &aclFlattenedIndicesInfo, &aclOutputGatherInfo, aclAxis);</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> /// Validate Reshape</span></div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"></span> <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(outputInfo);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  </div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">auto</span> statusReshape = arm_compute::CLReshapeLayer::validate(&aclOutputGatherInfo, &aclOutputInfo);</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// Return OK if all the layers are valid</span></div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span> <span class="keyword">auto</span> okCode = arm_compute::ErrorCode::OK;</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">if</span> (statusMul.error_code() == okCode &&</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  statusReduceSum.error_code() == okCode &&</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  statusGather.error_code() == okCode &&</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  statusReshape.error_code() == okCode)</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>(arm_compute::ErrorCode::OK,</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="stringliteral">"All GatherND layers validate status OK."</span>);</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>(arm_compute::ErrorCode::RUNTIME_ERROR,</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="stringliteral">"GatherND layer validate status failed."</span>);</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  }</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> }</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  </div> |
| <div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_gather_nd_workload.html#a5868930f1571f13d08cda4116b00b7c0"> 99</a></span> <a class="code" href="classarmnn_1_1_cl_gather_nd_workload.html#a5868930f1571f13d08cda4116b00b7c0">ClGatherNdWorkload::ClGatherNdWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info,</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> arm_compute::CLCompileContext& clCompileContext)</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a><<a class="code" href="structarmnn_1_1_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"ClGatherNdWorkload"</span>, 2, 1);</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> paramsInfo = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0];</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> indicesInfo = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1];</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputInfo = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0];</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  arm_compute::ICLTensor& input = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  arm_compute::ICLTensor& indices = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])->GetTensor();</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  arm_compute::ICLTensor& output = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Calculate ND, K, W, C.</span></div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::map<std::string, unsigned int> keyIndices = <a class="code" href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">CalculateGatherNdKeyIndices</a>(paramsInfo, indicesInfo);</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> /// Calculate flattened indices: m_FlattenedIndices = indices * m_FlattenedCoeff.</span></div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> /// This could be done using MatMul instead of multiplication followed by reduce sum operation,</span></div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> /// but GeMM does not support s32 at the moment.</span></div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Prepare the tensor to store the output of the reduce_sum operation</span></div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> flattenedIndices_Info = indicesInfo;</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  flattenedIndices_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>] });</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  BuildArmComputeTensor(m_FlattenedIndices, flattenedIndices_Info);</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_FlattenedIndices);</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Reshape indices into { W, ND }</span></div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  indices.info()->set_tensor_shape(BuildArmComputeTensorShape({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] }));</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// Calculate the m_FlattenedCoeff</span></div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> paramsShape = paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  std::vector<int32_t> flattenedCoeff(keyIndices[<span class="stringliteral">"ND"</span>], 1);</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i < keyIndices[<span class="stringliteral">"ND"</span>]; ++i)</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  flattenedCoeff[i - 1] = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(paramsShape[i]);</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = keyIndices[<span class="stringliteral">"ND"</span>] - 1; i > 0; --i)</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  flattenedCoeff[i - 1] *= flattenedCoeff[i];</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> flattenedCoeff_Info = indicesInfo;</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  flattenedCoeff_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"ND"</span>] });</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  BuildArmComputeTensor(m_FlattenedCoeff, flattenedCoeff_Info);</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_FlattenedCoeff);</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  CopyArmComputeClTensorData<int32_t>(m_FlattenedCoeff, flattenedCoeff.data());</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  </div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// Prepare the tensor to store the output of the multiplication</span></div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputMul_Info = indicesInfo;</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] });</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  BuildArmComputeTensor(m_OutputMul, outputMul_Info);</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputMul);</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Multiply</span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  m_MulLayer.configure(clCompileContext,</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  &indices,</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  &m_FlattenedCoeff,</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  &m_OutputMul,</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  1.0f,</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  arm_compute::ConvertPolicy::WRAP,</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  arm_compute::RoundingPolicy::TO_ZERO,</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  arm_compute::ActivationLayerInfo());</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  </div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Reduce Sum</span></div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> std::vector<unsigned int> armnnReduceAxes(1, 1);</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(m_OutputMul.info()->num_dimensions(),</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  armnnReduceAxes);</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  m_ReduceSumLayer.configure(clCompileContext,</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  &m_OutputMul,</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  &m_FlattenedIndices,</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  arm_compute::ReductionOperation::SUM,</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">false</span>);</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="comment"> /// Call Gather with adequate shapes</span></div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment"></span> <span class="comment">// Reshape params into { K, C }</span></div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"K"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  input.info()->set_tensor_shape(BuildArmComputeTensorShape(paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()));</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  </div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Reshape output to have the shape given by gather { W, C }</span></div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// (the original outputInfo has the shape given by gatherNd)</span></div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputGather_Info = outputInfo;</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  outputGather_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  BuildArmComputeTensor(m_OutputGather, outputGather_Info);</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputGather);</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_configure"</span>);</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">auto</span> aclAxis = <a class="code" href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">ComputeAclAxis</a>(0, paramsInfo);</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  m_GatherLayer.configure(clCompileContext, &input, &m_FlattenedIndices, &m_OutputGather, aclAxis);</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Reshape output to the original output shape</span></div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  m_ReshapeLayer.configure(clCompileContext, &m_OutputGather, &output);</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span> };</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  </div> |
| <div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a"> 196</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload::Execute</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_Execute"</span>);</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_MulLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReduceSumLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_GatherLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReshapeLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="astructarmnn_1_1_gather_nd_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_gather_nd_queue_descriptor.html">armnn::GatherNdQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00502">WorkloadData.hpp:502</a></div></div> |
| <div class="ttc" id="a_workload_utils_8hpp_html"><div class="ttname"><a href="_workload_utils_8hpp.html">WorkloadUtils.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00447">WorkloadData.cpp:447</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 &paramsInfo, const TensorInfo &indicesInfo, const TensorInfo &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="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="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> |
| <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_cl_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.html">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.html#l00013">ClBaseWorkload.hpp:13</a></div></div> |
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| <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> |
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| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></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="anamespacearmnn_html_a44a3b98b37a25c995aa9e4dae7d7b456"><div class="ttname"><a href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">armnn::ComputeAclAxis</a></div><div class="ttdeci">int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)</div><div class="ttdoc">Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...</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="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_cl_gather_nd_workload_html_a5868930f1571f13d08cda4116b00b7c0"><div class="ttname"><a href="classarmnn_1_1_cl_gather_nd_workload.html#a5868930f1571f13d08cda4116b00b7c0">armnn::ClGatherNdWorkload::ClGatherNdWorkload</a></div><div class="ttdeci">ClGatherNdWorkload(const GatherNdQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_gather_nd_workload_8cpp_source.html#l00099">ClGatherNdWorkload.cpp:99</a></div></div> |
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