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<a href="_prelu_test_impl_8hpp.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 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">#pragma once</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="_layer_test_result_8hpp.html">LayerTestResult.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_quantize_helper_8hpp.html">QuantizeHelper.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_resolve_type_8hpp.html">ResolveType.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> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">armnn/backends/IBackendInternal.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>></span></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="preprocessor">#include <<a class="code" href="_tensor_copy_utils_8hpp.html">backendsCommon/test/TensorCopyUtils.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_workload_test_utils_8hpp.html">backendsCommon/test/WorkloadTestUtils.hpp</a>></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"> 20</span> <span class="preprocessor">#include <<a class="code" href="_tensor_helpers_8hpp.html">test/TensorHelpers.hpp</a>></span></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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="_prelu_test_impl_8hpp.html#a1330e64bd2b612dfc2b2e87ff748654b"> 23</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 4></a> <a class="code" href="_prelu_test_impl_8hpp.html#a1330e64bd2b612dfc2b2e87ff748654b">PreluTest</a>(</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</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>  boost::ignore_unused(memoryManager);</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>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo ({ 1, 2, 2, 3 }, ArmnnType);</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> alphaTensorInfo ({ 1, 1, 1, 3 }, ArmnnType);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo({ 1, 2, 2, 3 }, ArmnnType);</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">if</span> (armnn::IsQuantizedType<T>())</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>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(0.25f);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  inputTensorInfo.SetQuantizationOffset(128);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  alphaTensorInfo.SetQuantizationScale(0.25f);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  alphaTensorInfo.SetQuantizationOffset(50);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  outputTensorInfo.SetQuantizationScale(0.5f);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  outputTensorInfo.SetQuantizationOffset(120);</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>  std::vector<float> inputData</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// Expected quantized values:</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// 128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  };</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::vector<float> alphaData</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="comment">// Expected quantized values:</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// 50, 54, 58</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  0.0f, 1.0f, 2.0f</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  };</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::vector<float> outputExpectedData =</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// Expected quantized values:</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// 20, 120, 120, 122, 122, 122, 120, 118, 116, 120, 116, 112</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  };</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">auto</span> input = MakeTensor<T, 4>(inputTensorInfo,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  armnnUtils::QuantizedVector<T>(inputData,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  inputTensorInfo.GetQuantizationScale(),</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  inputTensorInfo.GetQuantizationOffset()));</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>  <span class="keyword">auto</span> alpha = MakeTensor<T, 4>(alphaTensorInfo,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  armnnUtils::QuantizedVector<T>(alphaData,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  alphaTensorInfo.GetQuantizationScale(),</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  alphaTensorInfo.GetQuantizationOffset()));</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="struct_layer_test_result.html">LayerTestResult<T, 4></a> result(outputTensorInfo);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  result.<a class="code" href="struct_layer_test_result.html#a73610ea6c776cc66e5a78dd842a39b8b">outputExpected</a> =</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  MakeTensor<T, 4>(outputTensorInfo,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  armnnUtils::QuantizedVector<T>(outputExpectedData,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  outputTensorInfo.GetQuantizationScale(),</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  outputTensorInfo.GetQuantizationOffset()));</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  std::unique_ptr <armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::unique_ptr <armnn::ITensorHandle> alphaHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(alphaTensorInfo);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::unique_ptr <armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="structarmnn_1_1_prelu_queue_descriptor.html">armnn::PreluQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  AddInputToWorkload (descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  AddInputToWorkload (descriptor, info, alphaTensorInfo, alphaHandle.get());</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</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>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#adf4a93f605e4e7dad6aee0b4d2159171">CreatePrelu</a>(descriptor, info);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  inputHandle->Allocate();</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  alphaHandle->Allocate();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  outputHandle->Allocate();</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>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &input[0][0][0][0]);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(alphaHandle.get(), &alpha[0][0][0][0]);</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>  workload->Execute();</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>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&result.<a class="code" href="struct_layer_test_result.html#ac9d44d346bb7c89f7a7aa31d2bee947f">output</a>[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div><div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
<div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
<div class="ttc" id="_layer_test_result_8hpp_html"><div class="ttname"><a href="_layer_test_result_8hpp.html">LayerTestResult.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_backend_internal_html_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div>
<div class="ttc" id="struct_layer_test_result_html_ac9d44d346bb7c89f7a7aa31d2bee947f"><div class="ttname"><a href="struct_layer_test_result.html#ac9d44d346bb7c89f7a7aa31d2bee947f">LayerTestResult::output</a></div><div class="ttdeci">boost::multi_array< T, n > output</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult.hpp:40</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00259">Tensor.cpp:259</a></div></div>
<div class="ttc" id="struct_layer_test_result_html_a73610ea6c776cc66e5a78dd842a39b8b"><div class="ttname"><a href="struct_layer_test_result.html#a73610ea6c776cc66e5a78dd842a39b8b">LayerTestResult::outputExpected</a></div><div class="ttdeci">boost::multi_array< T, n > outputExpected</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult.hpp:41</a></div></div>
<div class="ttc" id="_quantize_helper_8hpp_html"><div class="ttname"><a href="_quantize_helper_8hpp.html">QuantizeHelper.hpp</a></div></div>
<div class="ttc" id="_workload_test_utils_8hpp_html"><div class="ttname"><a href="_workload_test_utils_8hpp.html">WorkloadTestUtils.hpp</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_prelu_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_prelu_queue_descriptor.html">armnn::PreluQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00489">WorkloadData.hpp:489</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_adf4a93f605e4e7dad6aee0b4d2159171"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#adf4a93f605e4e7dad6aee0b4d2159171">armnn::IWorkloadFactory::CreatePrelu</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreatePrelu(const PreluQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01335">WorkloadFactory.cpp:1335</a></div></div>
<div class="ttc" id="_prelu_test_impl_8hpp_html_a1330e64bd2b612dfc2b2e87ff748654b"><div class="ttname"><a href="_prelu_test_impl_8hpp.html#a1330e64bd2b612dfc2b2e87ff748654b">PreluTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > PreluTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_prelu_test_impl_8hpp_source.html#l00023">PreluTestImpl.hpp:23</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8hpp_html"><div class="ttname"><a href="_tensor_copy_utils_8hpp.html">TensorCopyUtils.hpp</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_html"><div class="ttname"><a href="_tensor_helpers_8hpp.html">TensorHelpers.hpp</a></div></div>
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