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<div class="title">ClConstantWorkload.cpp</div> </div>
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<a href="_cl_constant_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 © 2017-2018,2020-2023 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_constant_workload_8hpp.html">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.html">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.html">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.html">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="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.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.html">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.html">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.html#a2f5c2e8794174361f2308f4a0d3f9c73"> 18</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a2f5c2e8794174361f2308f4a0d3f9c73">ClConstantWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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.html#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.html#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.html#aeb3268a4ad7661911576dd0cda983195"> 44</a></span> <a class="code" href="classarmnn_1_1_cl_constant_workload.html#aeb3268a4ad7661911576dd0cda983195">ClConstantWorkload::ClConstantWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">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.html">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_cl_base_workload.html">ClBaseWorkload</a><<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  , m_RanOnce(false)</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.html#ae071e8822437c78baea75c3aef3a263a"> 52</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_constant_workload.html#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.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</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.html">ConstantQueueDescriptor</a>& data = this-><a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">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.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">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.html">ClTensorHandle</a>*<span class="keyword">></span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> computeDataType = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_cl_tensor_handle.html">ClTensorHandle</a>*<span class="keyword">></span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#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.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><<a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">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.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#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.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#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.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#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.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#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.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#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.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#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.html#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>
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