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| <div class="textblock"><code>#include "<a class="el" href="_neon_workload_factory_helper_8hpp_source.xhtml">NeonWorkloadFactoryHelper.hpp</a>"</code><br /> |
| <code>#include <<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_cpu_tensor_handle_8hpp_source.xhtml">backendsCommon/CpuTensorHandle.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_neon_timer_8hpp_source.xhtml">neon/NeonTimer.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_neon_workload_factory_8hpp_source.xhtml">neon/NeonWorkloadFactory.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_layer_tests_8hpp_source.xhtml">backendsCommon/test/LayerTests.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br /> |
| <code>#include <boost/test/unit_test.hpp></code><br /> |
| <code>#include <cstdlib></code><br /> |
| <code>#include <algorithm></code><br /> |
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| <p><a href="_neon_timer_test_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
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| <tr class="memitem:a8ae6df7cb9d9f3d8bc13af5ce82a37f0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_neon_timer_test_8cpp.xhtml#a8ae6df7cb9d9f3d8bc13af5ce82a37f0">BOOST_AUTO_TEST_CASE</a> (NeonTimerGetName)</td></tr> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a8ae6df7cb9d9f3d8bc13af5ce82a37f0">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[1/2]</span></h2> |
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| <td class="memname">BOOST_AUTO_TEST_CASE </td> |
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| <td class="paramtype">NeonTimerGetName </td> |
| <td class="paramname"></td><td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_neon_timer_test_8cpp_source.xhtml#l00031">31</a> of file <a class="el" href="_neon_timer_test_8cpp_source.xhtml">NeonTimerTest.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_neon_timer_8cpp_source.xhtml#l00058">NeonTimer::GetName()</a>.</p> |
| <div class="fragment"><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>  <a class="code" href="classarmnn_1_1_neon_timer.xhtml">NeonTimer</a> neonTimer;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  BOOST_CHECK_EQUAL(neonTimer.<a class="code" href="classarmnn_1_1_neon_timer.xhtml#ad47edad463024345ce1409153c259215">GetName</a>(), <span class="stringliteral">"NeonKernelTimer"</span>);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> }</div><div class="ttc" id="classarmnn_1_1_neon_timer_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml">armnn::NeonTimer</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8hpp_source.xhtml#l00021">NeonTimer.hpp:21</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_neon_timer_xhtml_ad47edad463024345ce1409153c259215"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml#ad47edad463024345ce1409153c259215">armnn::NeonTimer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8cpp_source.xhtml#l00058">NeonTimer.cpp:58</a></div></div> |
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| <td class="memname">BOOST_AUTO_TEST_CASE </td> |
| <td>(</td> |
| <td class="paramtype">NeonTimerMeasure </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| <p class="definition">Definition at line <a class="el" href="_neon_timer_test_8cpp_source.xhtml#l00037">37</a> of file <a class="el" href="_neon_timer_test_8cpp_source.xhtml">NeonTimerTest.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK()</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00109">NeonWorkloadFactory::CreateActivation()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00075">NeonWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, and <a class="el" href="_neon_timer_8cpp_source.xhtml#l00021">NeonTimer::Start()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarmnn_1_1_neon_workload_factory.xhtml">NeonWorkloadFactory</a> workloadFactory =</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager());</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 2000u;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 2000u;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 1u;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = 1u;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordtype">float</span> upperBound = 1.0f;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordtype">float</span> lowerBound = -1.0f;</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="keywordtype">size_t</span> inputSize = inputWidth * inputHeight * inputChannels * inputBatchSize;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  std::vector<float> inputData(inputSize, 0.f);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::generate(inputData.begin(), inputData.end(), [](){</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">return</span> (static_cast<float>(rand()) / <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(RAND_MAX / 3)) + 1.f; });</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = inputWidth;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = inputHeight;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = inputChannels;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = inputBatchSize;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth },</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth },</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> result(inputTensorInfo);</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="keyword">auto</span> input = MakeTensor<float, 4>(inputTensorInfo, inputData);</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>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Setup bounded ReLu</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</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>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = upperBound;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = lowerBound;</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>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_neon_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">CreateActivation</a>(descriptor, workloadInfo);</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>  inputHandle->Allocate();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  outputHandle->Allocate();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &input[0][0][0][0]);</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="classarmnn_1_1_neon_timer.xhtml">NeonTimer</a> neonTimer;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Start the timer.</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  neonTimer.<a class="code" href="classarmnn_1_1_neon_timer.xhtml#a156f3866ca69d98b4d9e6e1c1b3ec7da">Start</a>();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Execute the workload.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  workload->Execute();</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Stop the timer.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  neonTimer.Stop();</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>  std::vector<Measurement> measurements = neonTimer.GetMeasurements();</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="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(measurements.size() <= 2);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">if</span> (measurements.size() > 1)</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>  BOOST_CHECK_EQUAL(measurements[0].m_Name, <span class="stringliteral">"NeonKernelTimer/0: NEFillBorderKernel"</span>);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(measurements[0].m_Value > 0.0);</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>  std::ostringstream oss;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  oss << <span class="stringliteral">"NeonKernelTimer/"</span> << measurements.size()-1 << <span class="stringliteral">": NEActivationLayerKernel"</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  BOOST_CHECK_EQUAL(measurements[measurements.size()-1].m_Name, oss.str());</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(measurements[measurements.size()-1].m_Value > 0.0);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div><div class="ttc" id="classarmnn_1_1_neon_timer_xhtml_a156f3866ca69d98b4d9e6e1c1b3ec7da"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml#a156f3866ca69d98b4d9e6e1c1b3ec7da">armnn::NeonTimer::Start</a></div><div class="ttdeci">void Start() override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8cpp_source.xhtml#l00021">NeonTimer.cpp:21</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#l00053">Tensor.hpp:53</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_neon_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.xhtml">armnn::NeonWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8hpp_source.xhtml#l00017">NeonWorkloadFactory.hpp:17</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#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.xhtml#l00049">WorkloadData.hpp:49</a></div></div> |
| <div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_xhtml_a0c262ba6f6c189a2d092d127c1b7627b"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a></div><div class="ttdeci">BOOST_CHECK(profilingService.GetCurrentState()==ProfilingState::WaitingForAck)</div></div> |
| <div class="ttc" id="classarmnn_1_1_neon_timer_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_timer.xhtml">armnn::NeonTimer</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_timer_8hpp_source.xhtml#l00021">NeonTimer.hpp:21</a></div></div> |
| <div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6. </div></div> |
| <div class="ttc" id="classarmnn_1_1_neon_workload_factory_xhtml_af5f7b0f6273c838b6b7d7de8447524f9"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">armnn::NeonWorkloadFactory::CreateActivation</a></div><div class="ttdeci">std::unique_ptr< IWorkload > CreateActivation(const ActivationQueueDescriptor &descriptor, const WorkloadInfo &info) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.xhtml#l00109">NeonWorkloadFactory.cpp:109</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> |
| <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</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="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_neon_workload_factory_xhtml_a7239477811c44d4398f0c2d291d9ea76"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">armnn::NeonWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.xhtml#l00075">NeonWorkloadFactory.cpp:75</a></div></div> |
| <div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#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.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> |
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