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<div class="title">ClChannelShuffleWorkload.cpp</div> </div>
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<a href="_cl_channel_shuffle_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 © 2021-2023 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_channel_shuffle_workload_8hpp.html">ClChannelShuffleWorkload.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>  </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</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="l00014"></a><span class="lineno"> 14</span>  </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">using namespace </span>armnn::armcomputetensorutils;</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div>
<div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a02e646180897aca9fcbc02d16efdd784"> 20</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a02e646180897aca9fcbc02d16efdd784">ClChannelShuffleValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a>& descriptor)</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="comment">// In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="comment">// it only supports channel shuffle for 4D tensors in dimension C (1 or 3).</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout;</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">if</span> (input.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4)</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>)</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">case</span> 1:</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>);</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">case</span> 3:</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR, <span class="stringliteral">"Unsupported axis"</span>};</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  aclInputInfo.set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  aclOutputInfo.set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> arm_compute::CLChannelShuffleLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>);</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  }</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR, <span class="stringliteral">"Unsupported number of dimensions"</span>};</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div>
<div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_channel_shuffle_workload.html#aca0a20def571942b4cd75157525ef3f0"> 54</a></span> <a class="code" href="classarmnn_1_1_cl_channel_shuffle_workload.html#aca0a20def571942b4cd75157525ef3f0">ClChannelShuffleWorkload::ClChannelShuffleWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_queue_descriptor.html">ChannelShuffleQueueDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</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="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> arm_compute::CLCompileContext& clCompileContext)</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a><<a class="code" href="structarmnn_1_1_channel_shuffle_queue_descriptor.html">ChannelShuffleQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Report Profiling Details</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClChannelShufflenWorkload_Construct"</span>,</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  this->GetGuid());</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</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">"ClChannelShuffleWorkload"</span>, 1, 1);</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  arm_compute::ICLTensor& input = PolymorphicDowncast<ClTensorHandle*>(<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="l00068"></a><span class="lineno"> 68</span>  arm_compute::ICLTensor& output = PolymorphicDowncast<ClTensorHandle*>(<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="l00069"></a><span class="lineno"> 69</span>  </div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,</span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// it only supports channel shuffle for 4D tensors in dimension C (1 or 3).</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>)</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">case</span> 1:</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">case</span> 3:</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Unsupported axis"</span>);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  input.info()->set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  output.info()->set_data_layout(aclDataLayout);</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>  {</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClChannelShuffleWorkload_configure"</span>);</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  m_ChannelShuffleLayer.configure(clCompileContext, &input, &output, descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> }</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div>
<div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a"> 95</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">ClChannelShuffleWorkload::Execute</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClChannelShuffleWorkload_Execute"</span>);</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ChannelShuffleLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> } <span class="comment">// namespace armnn</span></div>
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<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_html_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">armnn::ChannelShuffleDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">Axis to apply channel shuffle operation on.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01580">Descriptors.hpp:1580</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</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#l00446">WorkloadData.cpp:446</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="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="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>
<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 &input, const TensorInfo &output, const ChannelShuffleDescriptor &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="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
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<div class="ttc" id="a_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_channel_shuffle_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClChannelShuffleWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_channel_shuffle_workload_8cpp_source.html#l00095">ClChannelShuffleWorkload.cpp:95</a></div></div>
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<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</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>
<div class="ttc" id="a_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< ChannelShuffleQueueDescriptor >::m_Data</a></div><div class="ttdeci">ChannelShuffleQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a52c299ca6a3884c609583a5a0663db80"><div class="ttname"><a href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00168">ClWorkloadUtils.hpp:168</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="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="astructarmnn_1_1_channel_shuffle_descriptor_html_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html#a1953d00371489c32ebded5a42eabc0cf">armnn::ChannelShuffleDescriptor::m_NumGroups</a></div><div class="ttdeci">uint32_t m_NumGroups</div><div class="ttdoc">Number of groups for the channel shuffle operation.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01578">Descriptors.hpp:1578</a></div></div>
<div class="ttc" id="astructarmnn_1_1_channel_shuffle_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_queue_descriptor.html">armnn::ChannelShuffleQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00748">WorkloadData.hpp:748</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="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_channel_shuffle_workload_html_aca0a20def571942b4cd75157525ef3f0"><div class="ttname"><a href="classarmnn_1_1_cl_channel_shuffle_workload.html#aca0a20def571942b4cd75157525ef3f0">armnn::ClChannelShuffleWorkload::ClChannelShuffleWorkload</a></div><div class="ttdeci">ClChannelShuffleWorkload(const ChannelShuffleQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_channel_shuffle_workload_8cpp_source.html#l00054">ClChannelShuffleWorkload.cpp:54</a></div></div>
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