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<div class="title">ClConstantWorkload.cpp</div> </div>
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<a href="_cl_constant_workload_8cpp.xhtml">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 © 2017 Arm Ltd. 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_constant_workload_8hpp.xhtml">ClConstantWorkload.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_half_8hpp.xhtml">Half.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_tensor_utils_8hpp.xhtml">aclCommon/ArmComputeTensorUtils.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.xhtml">cl/ClTensorHandle.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.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_workload_utils_8hpp.xhtml">ClWorkloadUtils.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">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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> </div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2f5c2e8794174361f2308f4a0d3f9c73"> 18</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#a2f5c2e8794174361f2308f4a0d3f9c73">ClConstantWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output)</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="keyword">const</span> arm_compute::TensorInfo neonOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  std::array<arm_compute::DataType,8> supportedTypes = {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  arm_compute::DataType::F16,</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  arm_compute::DataType::F32,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  arm_compute::DataType::QASYMM8,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  arm_compute::DataType::QASYMM8_SIGNED,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  arm_compute::DataType::QSYMM16,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  arm_compute::DataType::QSYMM8,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  arm_compute::DataType::QSYMM8_PER_CHANNEL,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  arm_compute::DataType::S32</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  };</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">auto</span> it = std::find(begin(supportedTypes), end(supportedTypes), neonOutputInfo.data_type());</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="keywordflow">if</span> (it != end(supportedTypes))</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{};</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR, <span class="stringliteral">"Unsupported DataType"</span>};</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  }</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</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"><a class="line" href="classarmnn_1_1_cl_constant_workload.xhtml#aeb3268a4ad7661911576dd0cda983195"> 44</a></span> <a class="code" href="classarmnn_1_1_cl_constant_workload.xhtml#aeb3268a4ad7661911576dd0cda983195">ClConstantWorkload::ClConstantWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> arm_compute::CLCompileContext&)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  : <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a><<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a>>(descriptor, info)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  , m_RanOnce(<a class="code" href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>)</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> }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 52</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword"></span>{</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="_cl_workload_utils_8hpp.xhtml#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a>(<span class="stringliteral">"ClConstantWorkload_Execute"</span>);</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="comment">// The intermediate tensor held by the corresponding layer output handler can be initialised with the given data</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// on the first inference, then reused for subsequent inferences.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// The initialisation cannot happen at workload construction time since the ACL kernel for the next layer may not</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// have been configured at the time.</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">if</span> (!m_RanOnce)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a>& data = this-><a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a> != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  arm_compute::CLTensor& output = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_cl_tensor_handle.xhtml">ClTensorHandle</a>*<span class="keyword">></span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> computeDataType = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_cl_tensor_handle.xhtml">ClTensorHandle</a>*<span class="keyword">></span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetDataType();</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="keywordflow">switch</span> (computeDataType)</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="keywordflow">case</span> arm_compute::DataType::F16:</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><<a class="code" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a>>());</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> arm_compute::DataType::F32:</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><<span class="keywordtype">float</span>>());</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>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><uint8_t>());</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8_SIGNED:</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int8_t>());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">break</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>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM16:</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>  <a class="code" href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int16_t>());</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">break</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"> 95</span>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8:</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8_PER_CHANNEL:</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>  <a class="code" href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int8_t>());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">break</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="keywordflow">case</span> arm_compute::DataType::S32:</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int32_t>());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Unknown data type"</span>);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  m_RanOnce = <span class="keyword">true</span>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="_cl_constant_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_constant_workload_8hpp.xhtml">ClConstantWorkload.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.xhtml">armnn::ConstantQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00355">WorkloadData.hpp:355</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_cl_tensor_handle.xhtml">armnn::ClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_tensor_handle_8hpp_source.xhtml#l00034">ClTensorHandle.hpp:34</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_constant_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::ClConstantWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_constant_workload_8cpp_source.xhtml#l00052">ClConstantWorkload.cpp:52</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="_cl_layer_tests_8cpp_xhtml_a2289f9e7fac0ce47801448e873b04303"><div class="ttname"><a href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a></div><div class="ttdeci">DataLayout::NCHW false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.xhtml#l00135">ClLayerTests.cpp:135</a></div></div>
<div class="ttc" id="_cl_workload_utils_8hpp_xhtml_a9166fc90a3ea47a2c9499a810b204daf"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00020">ClWorkloadUtils.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload< ConstantQueueDescriptor >::m_Data</a></div><div class="ttdeci">const ConstantQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00046">Workload.hpp:46</a></div></div>
<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_xhtml_ade37258f293ac919eac5f1af1de5ac82"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">armnn::ConstantQueueDescriptor::m_LayerOutput</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00362">WorkloadData.hpp:362</a></div></div>
<div class="ttc" id="_arm_compute_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.xhtml">ArmComputeTensorUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a3a76fc8b348e13d5a6ac1240c96ebef4"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">armnn::ConstCpuTensorHandle::GetConstTensor</a></div><div class="ttdeci">const T * GetConstTensor() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00031">CpuTensorHandle.hpp:31</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_constant_workload_xhtml_aeb3268a4ad7661911576dd0cda983195"><div class="ttname"><a href="classarmnn_1_1_cl_constant_workload.xhtml#aeb3268a4ad7661911576dd0cda983195">armnn::ClConstantWorkload::ClConstantWorkload</a></div><div class="ttdeci">ClConstantWorkload(const ConstantQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_constant_workload_8cpp_source.xhtml#l00044">ClConstantWorkload.cpp:44</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00028">Workload.hpp:28</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#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.xhtml#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2f5c2e8794174361f2308f4a0d3f9c73"><div class="ttname"><a href="namespacearmnn.xhtml#a2f5c2e8794174361f2308f4a0d3f9c73">armnn::ClConstantWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConstantWorkloadValidate(const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_constant_workload_8cpp_source.xhtml#l00018">ClConstantWorkload.cpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div>
<div class="ttc" id="_cl_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cl_tensor_handle_8hpp.xhtml">ClTensorHandle.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a73447f827b995cf90d4029151514b4ba"><div class="ttname"><a href="namespacearmnn.xhtml#a73447f827b995cf90d4029151514b4ba">armnn::CopyArmComputeClTensorData</a></div><div class="ttdeci">void CopyArmComputeClTensorData(arm_compute::CLTensor &dstTensor, const T *srcData)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00030">ClWorkloadUtils.hpp:30</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00031">WorkloadData.hpp:31</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00016">Half.hpp:16</a></div></div>
<div class="ttc" id="_cl_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml">ClWorkloadUtils.hpp</a></div></div>
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