Ryan OShea | de36e4a | 2020-03-13 16:26:19 +0000 | [diff] [blame] | 1 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
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| 86 | <div class="title">ActivationTestImpl.cpp File Reference</div> </div> |
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| 89 | <div class="textblock"><code>#include "<a class="el" href="_activation_test_impl_8hpp_source.html">ActivationTestImpl.hpp</a>"</code><br /> |
| 90 | <code>#include <<a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>></code><br /> |
| 91 | <code>#include <<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>></code><br /> |
| 92 | <code>#include <<a class="el" href="_activation_fixture_8hpp_source.html">backendsCommon/test/ActivationFixture.hpp</a>></code><br /> |
| 93 | <code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.html">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br /> |
| 94 | <code>#include <<a class="el" href="_workload_test_utils_8hpp_source.html">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br /> |
| 95 | <code>#include <<a class="el" href="_tensor_helpers_8hpp_source.html">test/TensorHelpers.hpp</a>></code><br /> |
| 96 | <code>#include <boost/multi_array.hpp></code><br /> |
| 97 | <code>#include <algorithm></code><br /> |
| 98 | </div> |
| 99 | <p><a href="_activation_test_impl_8cpp_source.html">Go to the source code of this file.</a></p> |
| 100 | <table class="memberdecls"> |
| 101 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| 102 | Functions</h2></td></tr> |
| 103 | <tr class="memitem:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 104 | <tr class="memitem:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#aaa4e43f7b9a9b14145accdc347bc0e18">BoundedReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float upperBound, float lowerBound, float inputScale, int32_t inputOffset, float outputScale, int32_t outputOffset, const std::vector< T > &inputData, const std::vector< T > &outputExpectedData, unsigned int inputWidth, unsigned int inputHeight, unsigned int inputChannels, unsigned int inputBatchSize)</td></tr> |
| 105 | <tr class="separator:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memSeparator" colspan="2"> </td></tr> |
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| 110 | <tr class="memitem:a7aa10bded0d26089e0bc4333ada10064"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a7aa10bded0d26089e0bc4333ada10064">BoundedReLuUint8UpperBoundOnlyTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 111 | <tr class="separator:a7aa10bded0d26089e0bc4333ada10064"><td class="memSeparator" colspan="2"> </td></tr> |
| 112 | <tr class="memitem:a0e868e8fa03ce4c4674b007eae5dc1a2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a0e868e8fa03ce4c4674b007eae5dc1a2">BoundedReLuUint8UpperAndLowerBoundTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
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| 115 | <tr class="separator:a7aaeeaa0a8683fae56caa66849228a87"><td class="memSeparator" colspan="2"> </td></tr> |
| 116 | <tr class="memitem:a22562086e72d244fd7cf4156b958c134"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 117 | <tr class="memitem:a22562086e72d244fd7cf4156b958c134"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a22562086e72d244fd7cf4156b958c134">ConstantLinearActivationTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale=0.0f, int32_t qOffset=0)</td></tr> |
| 118 | <tr class="separator:a22562086e72d244fd7cf4156b958c134"><td class="memSeparator" colspan="2"> </td></tr> |
| 119 | <tr class="memitem:a52af2639a8f96fbbc86343ea8914033a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a52af2639a8f96fbbc86343ea8914033a">ConstantLinearActivationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 120 | <tr class="separator:a52af2639a8f96fbbc86343ea8914033a"><td class="memSeparator" colspan="2"> </td></tr> |
| 121 | <tr class="memitem:a34b322827b0d8ff9f8b3b8fb9410f7d3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a34b322827b0d8ff9f8b3b8fb9410f7d3">ConstantLinearActivationUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 122 | <tr class="separator:a34b322827b0d8ff9f8b3b8fb9410f7d3"><td class="memSeparator" colspan="2"> </td></tr> |
| 123 | <tr class="memitem:a32a6595835f4cb5e93fec4182ada51bc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a32a6595835f4cb5e93fec4182ada51bc">ConstantLinearActivationInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 124 | <tr class="separator:a32a6595835f4cb5e93fec4182ada51bc"><td class="memSeparator" colspan="2"> </td></tr> |
| 125 | <tr class="memitem:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 126 | <tr class="memitem:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#aaeea20fa5e5934ea49b8f764526a2d98">SimpleActivationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> activationFunction, float activationParameterA, float activationParameterB, float scale, int32_t offset, const std::vector< float > &inputData, float outScale, int32_t outOffset, const std::vector< float > &outputExpectedData)</td></tr> |
| 127 | <tr class="separator:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memSeparator" colspan="2"> </td></tr> |
| 128 | <tr class="memitem:a1020322feb8c6fe89ced59fcca8277c4"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 129 | <tr class="memitem:a1020322feb8c6fe89ced59fcca8277c4"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a1020322feb8c6fe89ced59fcca8277c4">SimpleSigmoidTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 130 | <tr class="separator:a1020322feb8c6fe89ced59fcca8277c4"><td class="memSeparator" colspan="2"> </td></tr> |
| 131 | <tr class="memitem:aa87c451f7a773fd4ec9cdf11c20d7a58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#aa87c451f7a773fd4ec9cdf11c20d7a58">SimpleSigmoidTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 132 | <tr class="separator:aa87c451f7a773fd4ec9cdf11c20d7a58"><td class="memSeparator" colspan="2"> </td></tr> |
| 133 | <tr class="memitem:a0889979f9ffb67b036c3928c6e94af50"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a0889979f9ffb67b036c3928c6e94af50">SimpleSigmoidUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 134 | <tr class="separator:a0889979f9ffb67b036c3928c6e94af50"><td class="memSeparator" colspan="2"> </td></tr> |
| 135 | <tr class="memitem:a6558a4306d758625ab7804e9cb70b058"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a6558a4306d758625ab7804e9cb70b058">SimpleSigmoidInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 136 | <tr class="separator:a6558a4306d758625ab7804e9cb70b058"><td class="memSeparator" colspan="2"> </td></tr> |
| 137 | <tr class="memitem:acf22306b81aa054c64c48730b2786f96"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 138 | <tr class="memitem:acf22306b81aa054c64c48730b2786f96"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#acf22306b81aa054c64c48730b2786f96">ReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 139 | <tr class="separator:acf22306b81aa054c64c48730b2786f96"><td class="memSeparator" colspan="2"> </td></tr> |
| 140 | <tr class="memitem:a20b01cc1552ab2c3abd70166fdd35faf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a20b01cc1552ab2c3abd70166fdd35faf">ReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 141 | <tr class="separator:a20b01cc1552ab2c3abd70166fdd35faf"><td class="memSeparator" colspan="2"> </td></tr> |
| 142 | <tr class="memitem:aa986502e638eba65543c1cbb01467d26"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#aa986502e638eba65543c1cbb01467d26">ReLuUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 143 | <tr class="separator:aa986502e638eba65543c1cbb01467d26"><td class="memSeparator" colspan="2"> </td></tr> |
| 144 | <tr class="memitem:a58872a37a87790e3a3f91ee254ce304a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a58872a37a87790e3a3f91ee254ce304a">ReLuTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 145 | <tr class="separator:a58872a37a87790e3a3f91ee254ce304a"><td class="memSeparator" colspan="2"> </td></tr> |
| 146 | <tr class="memitem:a2634923ff28734237c27fcc7c009ce9d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 147 | <tr class="memitem:a2634923ff28734237c27fcc7c009ce9d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a2634923ff28734237c27fcc7c009ce9d">BoundedReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 148 | <tr class="separator:a2634923ff28734237c27fcc7c009ce9d"><td class="memSeparator" colspan="2"> </td></tr> |
| 149 | <tr class="memitem:ae42bb4023d8578a27159c95dd4b33b28"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#ae42bb4023d8578a27159c95dd4b33b28">BoundedReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 150 | <tr class="separator:ae42bb4023d8578a27159c95dd4b33b28"><td class="memSeparator" colspan="2"> </td></tr> |
| 151 | <tr class="memitem:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 152 | <tr class="memitem:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a4b43ab0b58fc8d4ad51b1b71c0e35622">SoftReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 153 | <tr class="separator:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memSeparator" colspan="2"> </td></tr> |
| 154 | <tr class="memitem:a8bfdab68fed1467b8720cceb47881236"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a8bfdab68fed1467b8720cceb47881236">SoftReLuTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 155 | <tr class="separator:a8bfdab68fed1467b8720cceb47881236"><td class="memSeparator" colspan="2"> </td></tr> |
| 156 | <tr class="memitem:a732229b22cff2a8f96798c38832cab92"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a732229b22cff2a8f96798c38832cab92">SoftReLuUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 157 | <tr class="separator:a732229b22cff2a8f96798c38832cab92"><td class="memSeparator" colspan="2"> </td></tr> |
| 158 | <tr class="memitem:a641db2befcd47ac97af966e20b1c4c2c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a641db2befcd47ac97af966e20b1c4c2c">SoftReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 159 | <tr class="separator:a641db2befcd47ac97af966e20b1c4c2c"><td class="memSeparator" colspan="2"> </td></tr> |
| 160 | <tr class="memitem:a6e45714708a6daf8688ef6ca58e54827"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 161 | <tr class="memitem:a6e45714708a6daf8688ef6ca58e54827"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a6e45714708a6daf8688ef6ca58e54827">LeakyReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 162 | <tr class="separator:a6e45714708a6daf8688ef6ca58e54827"><td class="memSeparator" colspan="2"> </td></tr> |
| 163 | <tr class="memitem:a0120909fa6b3032270399355f14654de"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a0120909fa6b3032270399355f14654de">LeakyReLuTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 164 | <tr class="separator:a0120909fa6b3032270399355f14654de"><td class="memSeparator" colspan="2"> </td></tr> |
| 165 | <tr class="memitem:af9293a4d81453abbe8cbdc788c290943"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#af9293a4d81453abbe8cbdc788c290943">LeakyReLuUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 166 | <tr class="separator:af9293a4d81453abbe8cbdc788c290943"><td class="memSeparator" colspan="2"> </td></tr> |
| 167 | <tr class="memitem:ac01b6901c3f2921c998aff77a8362f87"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#ac01b6901c3f2921c998aff77a8362f87">LeakyReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 168 | <tr class="separator:ac01b6901c3f2921c998aff77a8362f87"><td class="memSeparator" colspan="2"> </td></tr> |
| 169 | <tr class="memitem:aa8c2d170a4b51447f575183cee9579ab"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 170 | <tr class="memitem:aa8c2d170a4b51447f575183cee9579ab"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#aa8c2d170a4b51447f575183cee9579ab">AbsTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 171 | <tr class="separator:aa8c2d170a4b51447f575183cee9579ab"><td class="memSeparator" colspan="2"> </td></tr> |
| 172 | <tr class="memitem:a31872d5729b4d7734c1eb0d189a0eece"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a31872d5729b4d7734c1eb0d189a0eece">AbsTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 173 | <tr class="separator:a31872d5729b4d7734c1eb0d189a0eece"><td class="memSeparator" colspan="2"> </td></tr> |
| 174 | <tr class="memitem:a11baf4886951944fcf149e2a92197e58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a11baf4886951944fcf149e2a92197e58">AbsUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 175 | <tr class="separator:a11baf4886951944fcf149e2a92197e58"><td class="memSeparator" colspan="2"> </td></tr> |
| 176 | <tr class="memitem:a8dd4b2ac72e85dcfeb8540b7d5649b47"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a8dd4b2ac72e85dcfeb8540b7d5649b47">AbsInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 177 | <tr class="separator:a8dd4b2ac72e85dcfeb8540b7d5649b47"><td class="memSeparator" colspan="2"> </td></tr> |
| 178 | <tr class="memitem:a86f53855f5ab422f4e035b1aa11676f8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a86f53855f5ab422f4e035b1aa11676f8">SqrtNNTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 179 | <tr class="separator:a86f53855f5ab422f4e035b1aa11676f8"><td class="memSeparator" colspan="2"> </td></tr> |
| 180 | <tr class="memitem:aab2458914aa40f83ba027de7a8c07d06"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 181 | <tr class="memitem:aab2458914aa40f83ba027de7a8c07d06"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#aab2458914aa40f83ba027de7a8c07d06">SqrtTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 182 | <tr class="separator:aab2458914aa40f83ba027de7a8c07d06"><td class="memSeparator" colspan="2"> </td></tr> |
| 183 | <tr class="memitem:ad3928f2c56ed15642ff6306cc6823ebd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#ad3928f2c56ed15642ff6306cc6823ebd">SqrtTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 184 | <tr class="separator:ad3928f2c56ed15642ff6306cc6823ebd"><td class="memSeparator" colspan="2"> </td></tr> |
| 185 | <tr class="memitem:a6403e38cfee03672c164e3cba9863147"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a6403e38cfee03672c164e3cba9863147">SqrtUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 186 | <tr class="separator:a6403e38cfee03672c164e3cba9863147"><td class="memSeparator" colspan="2"> </td></tr> |
| 187 | <tr class="memitem:a8b855f5d3e8aab93decfa2bed46fc4cf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a8b855f5d3e8aab93decfa2bed46fc4cf">SqrtInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 188 | <tr class="separator:a8b855f5d3e8aab93decfa2bed46fc4cf"><td class="memSeparator" colspan="2"> </td></tr> |
| 189 | <tr class="memitem:a26032da34ce1e283ae30d05ea3bbb103"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 190 | <tr class="memitem:a26032da34ce1e283ae30d05ea3bbb103"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a26032da34ce1e283ae30d05ea3bbb103">SquareTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 191 | <tr class="separator:a26032da34ce1e283ae30d05ea3bbb103"><td class="memSeparator" colspan="2"> </td></tr> |
| 192 | <tr class="memitem:a6584d436388485a5bd9252430a0af5b6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a6584d436388485a5bd9252430a0af5b6">SquareTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 193 | <tr class="separator:a6584d436388485a5bd9252430a0af5b6"><td class="memSeparator" colspan="2"> </td></tr> |
| 194 | <tr class="memitem:a61fffaf40ad721073b70c350174d0ff3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a61fffaf40ad721073b70c350174d0ff3">SquareUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 195 | <tr class="separator:a61fffaf40ad721073b70c350174d0ff3"><td class="memSeparator" colspan="2"> </td></tr> |
| 196 | <tr class="memitem:a26219b66822d57b9fcce7a2504d1fca6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a26219b66822d57b9fcce7a2504d1fca6">SquareInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 197 | <tr class="separator:a26219b66822d57b9fcce7a2504d1fca6"><td class="memSeparator" colspan="2"> </td></tr> |
| 198 | <tr class="memitem:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 199 | <tr class="memitem:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a65aa329dc6abc6cf9dfb6177f42595de">TanhTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
| 200 | <tr class="separator:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memSeparator" colspan="2"> </td></tr> |
| 201 | <tr class="memitem:a923aa3e41cd11f5eeb7cc973fd8d3c76"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a923aa3e41cd11f5eeb7cc973fd8d3c76">TanhTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 202 | <tr class="separator:a923aa3e41cd11f5eeb7cc973fd8d3c76"><td class="memSeparator" colspan="2"> </td></tr> |
| 203 | <tr class="memitem:abe9073d08e150e3dd5e156af7ea8faa5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#abe9073d08e150e3dd5e156af7ea8faa5">TanhUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 204 | <tr class="separator:abe9073d08e150e3dd5e156af7ea8faa5"><td class="memSeparator" colspan="2"> </td></tr> |
| 205 | <tr class="memitem:aacd820bdf2307a2aa667db2899283035"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#aacd820bdf2307a2aa667db2899283035">TanhInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| 206 | <tr class="separator:aacd820bdf2307a2aa667db2899283035"><td class="memSeparator" colspan="2"> </td></tr> |
| 207 | <tr class="memitem:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| 208 | <tr class="memitem:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a0758d9003f13b30d5e29eae6cd89c32b">CompareActivationTestImpl</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f, unsigned int batchSize=5, float qScale=0.0f, int32_t qOffset=0)</td></tr> |
| 209 | <tr class="separator:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memSeparator" colspan="2"> </td></tr> |
| 210 | <tr class="memitem:af226f71b992ee8076a3880def72b1f3f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#af226f71b992ee8076a3880def72b1f3f">CompareActivationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f, unsigned int batchSize)</td></tr> |
| 211 | <tr class="separator:af226f71b992ee8076a3880def72b1f3f"><td class="memSeparator" colspan="2"> </td></tr> |
| 212 | <tr class="memitem:addef260aaa3c7f7f1d08f821b823af33"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#addef260aaa3c7f7f1d08f821b823af33">CompareActivationUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f)</td></tr> |
| 213 | <tr class="separator:addef260aaa3c7f7f1d08f821b823af33"><td class="memSeparator" colspan="2"> </td></tr> |
| 214 | <tr class="memitem:a55dddf072af585903973b8e3398835dc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.html#a55dddf072af585903973b8e3398835dc">CompareActivationInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f)</td></tr> |
| 215 | <tr class="separator:a55dddf072af585903973b8e3398835dc"><td class="memSeparator" colspan="2"> </td></tr> |
| 216 | </table> |
| 217 | <h2 class="groupheader">Function Documentation</h2> |
| 218 | <a id="a8dd4b2ac72e85dcfeb8540b7d5649b47"></a> |
| 219 | <h2 class="memtitle"><span class="permalink"><a href="#a8dd4b2ac72e85dcfeb8540b7d5649b47">◆ </a></span>AbsInt16Test()</h2> |
| 220 | |
| 221 | <div class="memitem"> |
| 222 | <div class="memproto"> |
| 223 | <table class="memname"> |
| 224 | <tr> |
| 225 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> AbsInt16Test </td> |
| 226 | <td>(</td> |
| 227 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 228 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 229 | </tr> |
| 230 | <tr> |
| 231 | <td class="paramkey"></td> |
| 232 | <td></td> |
| 233 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 234 | <td class="paramname"><em>memoryManager</em> </td> |
| 235 | </tr> |
| 236 | <tr> |
| 237 | <td></td> |
| 238 | <td>)</td> |
| 239 | <td></td><td></td> |
| 240 | </tr> |
| 241 | </table> |
| 242 | </div><div class="memdoc"> |
| 243 | |
| 244 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00785">785</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 245 | <div class="fragment"><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> {</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keywordflow">return</span> AbsTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> }</div></div><!-- fragment --> |
| 246 | </div> |
| 247 | </div> |
| 248 | <a id="a31872d5729b4d7734c1eb0d189a0eece"></a> |
| 249 | <h2 class="memtitle"><span class="permalink"><a href="#a31872d5729b4d7734c1eb0d189a0eece">◆ </a></span>AbsTest()</h2> |
| 250 | |
| 251 | <div class="memitem"> |
| 252 | <div class="memproto"> |
| 253 | <table class="memname"> |
| 254 | <tr> |
| 255 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> AbsTest </td> |
| 256 | <td>(</td> |
| 257 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 258 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 259 | </tr> |
| 260 | <tr> |
| 261 | <td class="paramkey"></td> |
| 262 | <td></td> |
| 263 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 264 | <td class="paramname"><em>memoryManager</em> </td> |
| 265 | </tr> |
| 266 | <tr> |
| 267 | <td></td> |
| 268 | <td>)</td> |
| 269 | <td></td><td></td> |
| 270 | </tr> |
| 271 | </table> |
| 272 | </div><div class="memdoc"> |
| 273 | |
| 274 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00771">771</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 275 | <div class="fragment"><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> {</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="keywordflow">return</span> AbsTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> }</div></div><!-- fragment --> |
| 276 | </div> |
| 277 | </div> |
| 278 | <a id="aa8c2d170a4b51447f575183cee9579ab"></a> |
| 279 | <h2 class="memtitle"><span class="permalink"><a href="#aa8c2d170a4b51447f575183cee9579ab">◆ </a></span>AbsTestCommon()</h2> |
| 280 | |
| 281 | <div class="memitem"> |
| 282 | <div class="memproto"> |
| 283 | <table class="memname"> |
| 284 | <tr> |
| 285 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> AbsTestCommon </td> |
| 286 | <td>(</td> |
| 287 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 288 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 289 | </tr> |
| 290 | <tr> |
| 291 | <td class="paramkey"></td> |
| 292 | <td></td> |
| 293 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 294 | <td class="paramname"><em>memoryManager</em>, </td> |
| 295 | </tr> |
| 296 | <tr> |
| 297 | <td class="paramkey"></td> |
| 298 | <td></td> |
| 299 | <td class="paramtype">float </td> |
| 300 | <td class="paramname"><em>qScale</em>, </td> |
| 301 | </tr> |
| 302 | <tr> |
| 303 | <td class="paramkey"></td> |
| 304 | <td></td> |
| 305 | <td class="paramtype">int32_t </td> |
| 306 | <td class="paramname"><em>qOffset</em> </td> |
| 307 | </tr> |
| 308 | <tr> |
| 309 | <td></td> |
| 310 | <td>)</td> |
| 311 | <td></td><td></td> |
| 312 | </tr> |
| 313 | </table> |
| 314 | </div><div class="memdoc"> |
| 315 | |
| 316 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00737">737</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 317 | |
| 318 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>.</p> |
| 319 | <div class="fragment"><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> {</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  };</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> </div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  {</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keywordflow">return</span> std::abs(value);</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  };</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span> </div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  memoryManager,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a>,</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  0.f,</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  0.f,</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  qScale,</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  qOffset,</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  inputData,</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  qScale,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  qOffset,</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  outputExpectedData);</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div> |
| 320 | </div><!-- fragment --> |
| 321 | </div> |
| 322 | </div> |
| 323 | <a id="a11baf4886951944fcf149e2a92197e58"></a> |
| 324 | <h2 class="memtitle"><span class="permalink"><a href="#a11baf4886951944fcf149e2a92197e58">◆ </a></span>AbsUint8Test()</h2> |
| 325 | |
| 326 | <div class="memitem"> |
| 327 | <div class="memproto"> |
| 328 | <table class="memname"> |
| 329 | <tr> |
| 330 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> AbsUint8Test </td> |
| 331 | <td>(</td> |
| 332 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 333 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 334 | </tr> |
| 335 | <tr> |
| 336 | <td class="paramkey"></td> |
| 337 | <td></td> |
| 338 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 339 | <td class="paramname"><em>memoryManager</em> </td> |
| 340 | </tr> |
| 341 | <tr> |
| 342 | <td></td> |
| 343 | <td>)</td> |
| 344 | <td></td><td></td> |
| 345 | </tr> |
| 346 | </table> |
| 347 | </div><div class="memdoc"> |
| 348 | |
| 349 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00778">778</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 350 | <div class="fragment"><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> {</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keywordflow">return</span> AbsTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> }</div></div><!-- fragment --> |
| 351 | </div> |
| 352 | </div> |
| 353 | <a id="ae42bb4023d8578a27159c95dd4b33b28"></a> |
| 354 | <h2 class="memtitle"><span class="permalink"><a href="#ae42bb4023d8578a27159c95dd4b33b28">◆ </a></span>BoundedReLuInt16Test()</h2> |
| 355 | |
| 356 | <div class="memitem"> |
| 357 | <div class="memproto"> |
| 358 | <table class="memname"> |
| 359 | <tr> |
| 360 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> BoundedReLuInt16Test </td> |
| 361 | <td>(</td> |
| 362 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 363 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 364 | </tr> |
| 365 | <tr> |
| 366 | <td class="paramkey"></td> |
| 367 | <td></td> |
| 368 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 369 | <td class="paramname"><em>memoryManager</em> </td> |
| 370 | </tr> |
| 371 | <tr> |
| 372 | <td></td> |
| 373 | <td>)</td> |
| 374 | <td></td><td></td> |
| 375 | </tr> |
| 376 | </table> |
| 377 | </div><div class="memdoc"> |
| 378 | |
| 379 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00614">614</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 380 | <div class="fragment"><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> {</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">return</span> ReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> }</div></div><!-- fragment --> |
| 381 | </div> |
| 382 | </div> |
| 383 | <a id="aaa4e43f7b9a9b14145accdc347bc0e18"></a> |
| 384 | <h2 class="memtitle"><span class="permalink"><a href="#aaa4e43f7b9a9b14145accdc347bc0e18">◆ </a></span>BoundedReLuTestCommon() <span class="overload">[1/2]</span></h2> |
| 385 | |
| 386 | <div class="memitem"> |
| 387 | <div class="memproto"> |
| 388 | <table class="memname"> |
| 389 | <tr> |
| 390 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> BoundedReLuTestCommon </td> |
| 391 | <td>(</td> |
| 392 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 393 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 394 | </tr> |
| 395 | <tr> |
| 396 | <td class="paramkey"></td> |
| 397 | <td></td> |
| 398 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 399 | <td class="paramname"><em>memoryManager</em>, </td> |
| 400 | </tr> |
| 401 | <tr> |
| 402 | <td class="paramkey"></td> |
| 403 | <td></td> |
| 404 | <td class="paramtype">float </td> |
| 405 | <td class="paramname"><em>upperBound</em>, </td> |
| 406 | </tr> |
| 407 | <tr> |
| 408 | <td class="paramkey"></td> |
| 409 | <td></td> |
| 410 | <td class="paramtype">float </td> |
| 411 | <td class="paramname"><em>lowerBound</em>, </td> |
| 412 | </tr> |
| 413 | <tr> |
| 414 | <td class="paramkey"></td> |
| 415 | <td></td> |
| 416 | <td class="paramtype">float </td> |
| 417 | <td class="paramname"><em>inputScale</em>, </td> |
| 418 | </tr> |
| 419 | <tr> |
| 420 | <td class="paramkey"></td> |
| 421 | <td></td> |
| 422 | <td class="paramtype">int32_t </td> |
| 423 | <td class="paramname"><em>inputOffset</em>, </td> |
| 424 | </tr> |
| 425 | <tr> |
| 426 | <td class="paramkey"></td> |
| 427 | <td></td> |
| 428 | <td class="paramtype">float </td> |
| 429 | <td class="paramname"><em>outputScale</em>, </td> |
| 430 | </tr> |
| 431 | <tr> |
| 432 | <td class="paramkey"></td> |
| 433 | <td></td> |
| 434 | <td class="paramtype">int32_t </td> |
| 435 | <td class="paramname"><em>outputOffset</em>, </td> |
| 436 | </tr> |
| 437 | <tr> |
| 438 | <td class="paramkey"></td> |
| 439 | <td></td> |
| 440 | <td class="paramtype">const std::vector< T > & </td> |
| 441 | <td class="paramname"><em>inputData</em>, </td> |
| 442 | </tr> |
| 443 | <tr> |
| 444 | <td class="paramkey"></td> |
| 445 | <td></td> |
| 446 | <td class="paramtype">const std::vector< T > & </td> |
| 447 | <td class="paramname"><em>outputExpectedData</em>, </td> |
| 448 | </tr> |
| 449 | <tr> |
| 450 | <td class="paramkey"></td> |
| 451 | <td></td> |
| 452 | <td class="paramtype">unsigned int </td> |
| 453 | <td class="paramname"><em>inputWidth</em>, </td> |
| 454 | </tr> |
| 455 | <tr> |
| 456 | <td class="paramkey"></td> |
| 457 | <td></td> |
| 458 | <td class="paramtype">unsigned int </td> |
| 459 | <td class="paramname"><em>inputHeight</em>, </td> |
| 460 | </tr> |
| 461 | <tr> |
| 462 | <td class="paramkey"></td> |
| 463 | <td></td> |
| 464 | <td class="paramtype">unsigned int </td> |
| 465 | <td class="paramname"><em>inputChannels</em>, </td> |
| 466 | </tr> |
| 467 | <tr> |
| 468 | <td class="paramkey"></td> |
| 469 | <td></td> |
| 470 | <td class="paramtype">unsigned int </td> |
| 471 | <td class="paramname"><em>inputBatchSize</em> </td> |
| 472 | </tr> |
| 473 | <tr> |
| 474 | <td></td> |
| 475 | <td>)</td> |
| 476 | <td></td><td></td> |
| 477 | </tr> |
| 478 | </table> |
| 479 | </div><div class="memdoc"> |
| 480 | |
| 481 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00023">23</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 482 | |
| 483 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01082">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult< T, n >::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>.</p> |
| 484 | <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>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = inputWidth;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = inputHeight;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = inputChannels;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = inputBatchSize;</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>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, ArmnnType);</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>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, ArmnnType);</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>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<T>())</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>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(inputScale);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  inputTensorInfo.SetQuantizationOffset(inputOffset);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  outputTensorInfo.SetQuantizationOffset(outputOffset);</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> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 4></a> result(inputTensorInfo);</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>  <span class="keyword">auto</span> input = MakeTensor<T, 4>(inputTensorInfo, inputData);</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>  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="l00063"></a><span class="lineno"> 63</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="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Setup bounded ReLu.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = upperBound;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = lowerBound;</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>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(descriptor, workloadInfo);</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>  inputHandle->Allocate();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  outputHandle->Allocate();</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>  <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="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  workload->Execute();</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&result.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputExpectedData);</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>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00037">Descriptors.hpp:37</a></div></div> |
| 485 | <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> |
| 486 | <div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div> |
| 487 | <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> |
| 488 | <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> |
| 489 | <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> |
| 490 | <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> |
| 491 | <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> |
| 492 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00039">Descriptors.hpp:39</a></div></div> |
| 493 | <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> |
| 494 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00035">Descriptors.hpp:35</a></div></div> |
| 495 | <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">armnn::IWorkloadFactory::CreateActivation</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateActivation(const ActivationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01082">WorkloadFactory.cpp:1082</a></div></div> |
| 496 | <div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) </div></div> |
| 497 | <div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00130">WorkloadData.hpp:130</a></div></div> |
| 498 | </div><!-- fragment --> |
| 499 | </div> |
| 500 | </div> |
| 501 | <a id="a2634923ff28734237c27fcc7c009ce9d"></a> |
| 502 | <h2 class="memtitle"><span class="permalink"><a href="#a2634923ff28734237c27fcc7c009ce9d">◆ </a></span>BoundedReLuTestCommon() <span class="overload">[2/2]</span></h2> |
| 503 | |
| 504 | <div class="memitem"> |
| 505 | <div class="memproto"> |
| 506 | <table class="memname"> |
| 507 | <tr> |
| 508 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> BoundedReLuTestCommon </td> |
| 509 | <td>(</td> |
| 510 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 511 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 512 | </tr> |
| 513 | <tr> |
| 514 | <td class="paramkey"></td> |
| 515 | <td></td> |
| 516 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 517 | <td class="paramname"><em>memoryManager</em>, </td> |
| 518 | </tr> |
| 519 | <tr> |
| 520 | <td class="paramkey"></td> |
| 521 | <td></td> |
| 522 | <td class="paramtype">float </td> |
| 523 | <td class="paramname"><em>qScale</em>, </td> |
| 524 | </tr> |
| 525 | <tr> |
| 526 | <td class="paramkey"></td> |
| 527 | <td></td> |
| 528 | <td class="paramtype">int32_t </td> |
| 529 | <td class="paramname"><em>qOffset</em> </td> |
| 530 | </tr> |
| 531 | <tr> |
| 532 | <td></td> |
| 533 | <td>)</td> |
| 534 | <td></td><td></td> |
| 535 | </tr> |
| 536 | </table> |
| 537 | </div><div class="memdoc"> |
| 538 | |
| 539 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00579">579</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 540 | |
| 541 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>.</p> |
| 542 | <div class="fragment"><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  };</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a = 1.0f;</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> b = -1.0f;</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">auto</span> f = [a, b](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  {</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">return</span> std::min(a, std::max(b, value));</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  };</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  memoryManager,</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>,</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  a,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  b,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  qScale,</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  qOffset,</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  inputData,</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  qScale,</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  qOffset,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  outputExpectedData);</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) </div></div> |
| 543 | </div><!-- fragment --> |
| 544 | </div> |
| 545 | </div> |
| 546 | <a id="a0e868e8fa03ce4c4674b007eae5dc1a2"></a> |
| 547 | <h2 class="memtitle"><span class="permalink"><a href="#a0e868e8fa03ce4c4674b007eae5dc1a2">◆ </a></span>BoundedReLuUint8UpperAndLowerBoundTest()</h2> |
| 548 | |
| 549 | <div class="memitem"> |
| 550 | <div class="memproto"> |
| 551 | <table class="memname"> |
| 552 | <tr> |
| 553 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> BoundedReLuUint8UpperAndLowerBoundTest </td> |
| 554 | <td>(</td> |
| 555 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 556 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 557 | </tr> |
| 558 | <tr> |
| 559 | <td class="paramkey"></td> |
| 560 | <td></td> |
| 561 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 562 | <td class="paramname"><em>memoryManager</em> </td> |
| 563 | </tr> |
| 564 | <tr> |
| 565 | <td></td> |
| 566 | <td>)</td> |
| 567 | <td></td><td></td> |
| 568 | </tr> |
| 569 | </table> |
| 570 | </div><div class="memdoc"> |
| 571 | |
| 572 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00184">184</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 573 | |
| 574 | <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01082">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_quantizer_test_8cpp_source.html#l00337">armnn::GetInputTensorInfo()</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p> |
| 575 | <div class="fragment"><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 3u;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 2u;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 1u;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = 1;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::vector<uint8_t> input = std::vector<uint8_t>{</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  51, 230, 28,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  251, 8, 92</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  };</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  std::vector<uint8_t> output = std::vector<uint8_t>{</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  51, 192, 32,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  192, 32, 92</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  };</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  int32_t inputOffset = 112;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordtype">float</span> inputScale = 0.0125f;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> BoundedReLuTestCommon<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  workloadFactory, memoryManager, 1.0f, -1.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  inputScale, inputOffset, inputScale, inputOffset, <span class="comment">// Input/output scale & offset same.</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  input, output, inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div></div><!-- fragment --> |
| 576 | </div> |
| 577 | </div> |
| 578 | <a id="a7aa10bded0d26089e0bc4333ada10064"></a> |
| 579 | <h2 class="memtitle"><span class="permalink"><a href="#a7aa10bded0d26089e0bc4333ada10064">◆ </a></span>BoundedReLuUint8UpperBoundOnlyTest()</h2> |
| 580 | |
| 581 | <div class="memitem"> |
| 582 | <div class="memproto"> |
| 583 | <table class="memname"> |
| 584 | <tr> |
| 585 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> BoundedReLuUint8UpperBoundOnlyTest </td> |
| 586 | <td>(</td> |
| 587 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 588 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 589 | </tr> |
| 590 | <tr> |
| 591 | <td class="paramkey"></td> |
| 592 | <td></td> |
| 593 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 594 | <td class="paramname"><em>memoryManager</em> </td> |
| 595 | </tr> |
| 596 | <tr> |
| 597 | <td></td> |
| 598 | <td>)</td> |
| 599 | <td></td><td></td> |
| 600 | </tr> |
| 601 | </table> |
| 602 | </div><div class="memdoc"> |
| 603 | |
| 604 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00153">153</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 605 | <div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 3u;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 2u;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 1u;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = 1;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  std::vector<uint8_t> input = std::vector<uint8_t>{</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  51, 124, 28,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  251, 8, 92</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  };</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::vector<uint8_t> output = std::vector<uint8_t>{</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  0, 122, 0,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  255, 0, 58</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  };</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">float</span> inputScale = 12.0f / 255.0f;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  int32_t inputOffset = 63;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordtype">float</span> outputScale = 6.0f / 255.0f;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  int32_t outputOffset = 0;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">return</span> BoundedReLuTestCommon<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  workloadFactory, memoryManager, 6.0f, 0.0f,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  inputScale, inputOffset, outputScale, outputOffset,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  input, output, inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> }</div></div><!-- fragment --> |
| 606 | </div> |
| 607 | </div> |
| 608 | <a id="a418191b7e7caba8173206c0870bc3684"></a> |
| 609 | <h2 class="memtitle"><span class="permalink"><a href="#a418191b7e7caba8173206c0870bc3684">◆ </a></span>BoundedReLuUpperAndLowerBoundTest()</h2> |
| 610 | |
| 611 | <div class="memitem"> |
| 612 | <div class="memproto"> |
| 613 | <table class="memname"> |
| 614 | <tr> |
| 615 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> BoundedReLuUpperAndLowerBoundTest </td> |
| 616 | <td>(</td> |
| 617 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 618 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 619 | </tr> |
| 620 | <tr> |
| 621 | <td class="paramkey"></td> |
| 622 | <td></td> |
| 623 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 624 | <td class="paramname"><em>memoryManager</em> </td> |
| 625 | </tr> |
| 626 | <tr> |
| 627 | <td></td> |
| 628 | <td>)</td> |
| 629 | <td></td><td></td> |
| 630 | </tr> |
| 631 | </table> |
| 632 | </div><div class="memdoc"> |
| 633 | |
| 634 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00091">91</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 635 | <div class="fragment"><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="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 4u;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 5u;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 1u;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = 1;</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>  std::vector<float> input = std::vector<float>{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  -2.0f, 0.1f, 0.5f, 1.25f,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  0.786f, 0.9875f, -1.5f, 0.384f,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  1.0001f, 3.5f, 7.5f, 0.896f,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  2.126f, 2.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  0.999f, 1.2f, 0.89f, 6.1f,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</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>  <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  std::vector<float> output = std::vector<float>{</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  -1.0f, 0.1f, 0.5f, 1.0f,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  0.786f, 0.9875f, -1.0f, 0.384f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  1.0f, 1.0f, 1.0f, 0.896f,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  1.0f, 1.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  0.999f, 1.0f, 0.89f, 1.0f,</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="keywordflow">return</span> BoundedReLuTestCommon<armnn::DataType::Float32>(</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  workloadFactory, memoryManager, 1.0f, -1.0f, 1.0f, 0, 1.0f, 0, input, output,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div></div><!-- fragment --> |
| 636 | </div> |
| 637 | </div> |
| 638 | <a id="a359c1f734f9da1d6459e9d878e5612ba"></a> |
| 639 | <h2 class="memtitle"><span class="permalink"><a href="#a359c1f734f9da1d6459e9d878e5612ba">◆ </a></span>BoundedReLuUpperBoundOnlyTest()</h2> |
| 640 | |
| 641 | <div class="memitem"> |
| 642 | <div class="memproto"> |
| 643 | <table class="memname"> |
| 644 | <tr> |
| 645 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> BoundedReLuUpperBoundOnlyTest </td> |
| 646 | <td>(</td> |
| 647 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 648 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 649 | </tr> |
| 650 | <tr> |
| 651 | <td class="paramkey"></td> |
| 652 | <td></td> |
| 653 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 654 | <td class="paramname"><em>memoryManager</em> </td> |
| 655 | </tr> |
| 656 | <tr> |
| 657 | <td></td> |
| 658 | <td>)</td> |
| 659 | <td></td><td></td> |
| 660 | </tr> |
| 661 | </table> |
| 662 | </div><div class="memdoc"> |
| 663 | |
| 664 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00122">122</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 665 | <div class="fragment"><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 4u;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 5u;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 1u;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = 1;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  std::vector<float> input = std::vector<float>{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  -1.0f, 0.1f, 0.5f, 6.25f,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  0.786f, 5.9875f, -0.5f, 0.384f,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  6.0001f, 3.5f, 7.5f, 0.896f,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  2.126f, 12.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  0.999f, 1.2f, 0.89f, 6.1f,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  };</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::vector<float> output = std::vector<float>{</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  0.0f, 0.1f, 0.5f, 6.0f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  0.786f, 5.9875f, 0.0f, 0.384f,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  6.0f, 3.5f, 6.0f, 0.896f,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  2.126f, 6.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  0.999f, 1.2f, 0.89f, 6.0f,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  };</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> BoundedReLuTestCommon<armnn::DataType::Float32>(</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  workloadFactory, memoryManager, 6.0f, 0.0f, 1.0f, 0, 1.0f, 0, input, output,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</div></div><!-- fragment --> |
| 666 | </div> |
| 667 | </div> |
| 668 | <a id="a55dddf072af585903973b8e3398835dc"></a> |
| 669 | <h2 class="memtitle"><span class="permalink"><a href="#a55dddf072af585903973b8e3398835dc">◆ </a></span>CompareActivationInt16Test()</h2> |
| 670 | |
| 671 | <div class="memitem"> |
| 672 | <div class="memproto"> |
| 673 | <table class="memname"> |
| 674 | <tr> |
| 675 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t,4> CompareActivationInt16Test </td> |
| 676 | <td>(</td> |
| 677 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 678 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 679 | </tr> |
| 680 | <tr> |
| 681 | <td class="paramkey"></td> |
| 682 | <td></td> |
| 683 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 684 | <td class="paramname"><em>memoryManager</em>, </td> |
| 685 | </tr> |
| 686 | <tr> |
| 687 | <td class="paramkey"></td> |
| 688 | <td></td> |
| 689 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 690 | <td class="paramname"><em>refWorkloadFactory</em>, </td> |
| 691 | </tr> |
| 692 | <tr> |
| 693 | <td class="paramkey"></td> |
| 694 | <td></td> |
| 695 | <td class="paramtype"><a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> |
| 696 | <td class="paramname"><em>f</em> </td> |
| 697 | </tr> |
| 698 | <tr> |
| 699 | <td></td> |
| 700 | <td>)</td> |
| 701 | <td></td><td></td> |
| 702 | </tr> |
| 703 | </table> |
| 704 | </div><div class="memdoc"> |
| 705 | |
| 706 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l01136">1136</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 707 | <div class="fragment"><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span> {</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  <span class="keywordflow">return</span> CompareActivationTestImpl<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 0);</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span> }</div></div><!-- fragment --> |
| 708 | </div> |
| 709 | </div> |
| 710 | <a id="af226f71b992ee8076a3880def72b1f3f"></a> |
| 711 | <h2 class="memtitle"><span class="permalink"><a href="#af226f71b992ee8076a3880def72b1f3f">◆ </a></span>CompareActivationTest()</h2> |
| 712 | |
| 713 | <div class="memitem"> |
| 714 | <div class="memproto"> |
| 715 | <table class="memname"> |
| 716 | <tr> |
| 717 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float,4> CompareActivationTest </td> |
| 718 | <td>(</td> |
| 719 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 720 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 721 | </tr> |
| 722 | <tr> |
| 723 | <td class="paramkey"></td> |
| 724 | <td></td> |
| 725 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 726 | <td class="paramname"><em>memoryManager</em>, </td> |
| 727 | </tr> |
| 728 | <tr> |
| 729 | <td class="paramkey"></td> |
| 730 | <td></td> |
| 731 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 732 | <td class="paramname"><em>refWorkloadFactory</em>, </td> |
| 733 | </tr> |
| 734 | <tr> |
| 735 | <td class="paramkey"></td> |
| 736 | <td></td> |
| 737 | <td class="paramtype"><a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> |
| 738 | <td class="paramname"><em>f</em>, </td> |
| 739 | </tr> |
| 740 | <tr> |
| 741 | <td class="paramkey"></td> |
| 742 | <td></td> |
| 743 | <td class="paramtype">unsigned int </td> |
| 744 | <td class="paramname"><em>batchSize</em> </td> |
| 745 | </tr> |
| 746 | <tr> |
| 747 | <td></td> |
| 748 | <td>)</td> |
| 749 | <td></td><td></td> |
| 750 | </tr> |
| 751 | </table> |
| 752 | </div><div class="memdoc"> |
| 753 | |
| 754 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l01115">1115</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 755 | <div class="fragment"><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> {</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <span class="keywordflow">return</span> CompareActivationTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  workloadFactory, memoryManager, refWorkloadFactory, f, batchSize);</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> }</div></div><!-- fragment --> |
| 756 | </div> |
| 757 | </div> |
| 758 | <a id="a0758d9003f13b30d5e29eae6cd89c32b"></a> |
| 759 | <h2 class="memtitle"><span class="permalink"><a href="#a0758d9003f13b30d5e29eae6cd89c32b">◆ </a></span>CompareActivationTestImpl()</h2> |
| 760 | |
| 761 | <div class="memitem"> |
| 762 | <div class="memproto"> |
| 763 | <table class="memname"> |
| 764 | <tr> |
| 765 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T,4> CompareActivationTestImpl </td> |
| 766 | <td>(</td> |
| 767 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 768 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 769 | </tr> |
| 770 | <tr> |
| 771 | <td class="paramkey"></td> |
| 772 | <td></td> |
| 773 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 774 | <td class="paramname"><em>memoryManager</em>, </td> |
| 775 | </tr> |
| 776 | <tr> |
| 777 | <td class="paramkey"></td> |
| 778 | <td></td> |
| 779 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 780 | <td class="paramname"><em>refWorkloadFactory</em>, </td> |
| 781 | </tr> |
| 782 | <tr> |
| 783 | <td class="paramkey"></td> |
| 784 | <td></td> |
| 785 | <td class="paramtype"><a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> |
| 786 | <td class="paramname"><em>f</em>, </td> |
| 787 | </tr> |
| 788 | <tr> |
| 789 | <td class="paramkey"></td> |
| 790 | <td></td> |
| 791 | <td class="paramtype">unsigned int </td> |
| 792 | <td class="paramname"><em>batchSize</em> = <code>5</code>, </td> |
| 793 | </tr> |
| 794 | <tr> |
| 795 | <td class="paramkey"></td> |
| 796 | <td></td> |
| 797 | <td class="paramtype">float </td> |
| 798 | <td class="paramname"><em>qScale</em> = <code>0.0f</code>, </td> |
| 799 | </tr> |
| 800 | <tr> |
| 801 | <td class="paramkey"></td> |
| 802 | <td></td> |
| 803 | <td class="paramtype">int32_t </td> |
| 804 | <td class="paramname"><em>qOffset</em> = <code>0</code> </td> |
| 805 | </tr> |
| 806 | <tr> |
| 807 | <td></td> |
| 808 | <td>)</td> |
| 809 | <td></td><td></td> |
| 810 | </tr> |
| 811 | </table> |
| 812 | </div><div class="memdoc"> |
| 813 | |
| 814 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l01021">1021</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 815 | |
| 816 | <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01082">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p> |
| 817 | <div class="fragment"><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span> {</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 17;</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 29;</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2;</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span> </div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="keywordtype">float</span> a = 0.234f;</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keywordtype">float</span> b = -12.345f;</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span> </div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> </div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = {batchSize, channels, height, width};</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> </div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, shape, ArmnnType);</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, shape, ArmnnType);</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span> </div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<T>())</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  {</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  }</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span> </div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keywordtype">float</span> minVal = -10.f;</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <span class="keywordflow">if</span> (f == <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a>)</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  {</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  minVal = 0.f;</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  }</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> </div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  boost::multi_array<T, 4> input = MakeRandomTensor<T, 4>(inputTensorInfo, 21453, minVal, 10.f);</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span> </div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> </div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T,4></a> ret(outputTensorInfo);</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <span class="keyword">auto</span> boostArrayExtents = boost::extents</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(batchSize)]</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(channels)]</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(height)]</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(width)];</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  ret.output.resize(boostArrayExtents);</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  ret.outputExpected.resize(boostArrayExtents);</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> </div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> </div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</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="l01075"></a><span class="lineno"> 1075</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="l01076"></a><span class="lineno"> 1076</span> </div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span> </div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a> data;</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = a;</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = b;</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = f;</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span> </div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a> refData = data;</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get());</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span> </div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(data, info);</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  BOOST_ASSERT(workload != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(refData, refInfo);</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  BOOST_ASSERT(workloadRef != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> </div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  inputHandle->Allocate();</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  outputHandle->Allocate();</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  inputHandleRef->Allocate();</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  outputHandleRef->Allocate();</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span> </div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</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="l01104"></a><span class="lineno"> 1104</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandleRef.get(), &input[0][0][0][0]);</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> </div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  workload->Execute();</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  workloadRef->Execute();</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> </div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.outputExpected[0][0][0][0], outputHandleRef.get());</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span> </div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00037">Descriptors.hpp:37</a></div></div> |
| 818 | <div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> |
| 819 | <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> |
| 820 | <div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| 821 | <div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div> |
| 822 | <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> |
| 823 | <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> |
| 824 | <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> |
| 825 | <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> |
| 826 | <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> |
| 827 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00039">Descriptors.hpp:39</a></div></div> |
| 828 | <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> |
| 829 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00035">Descriptors.hpp:35</a></div></div> |
| 830 | <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">armnn::IWorkloadFactory::CreateActivation</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateActivation(const ActivationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01082">WorkloadFactory.cpp:1082</a></div></div> |
| 831 | <div class="ttc" id="classarmnn_1_1_tensor_info_html_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00275">Tensor.cpp:275</a></div></div> |
| 832 | <div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00130">WorkloadData.hpp:130</a></div></div> |
| 833 | </div><!-- fragment --> |
| 834 | </div> |
| 835 | </div> |
| 836 | <a id="addef260aaa3c7f7f1d08f821b823af33"></a> |
| 837 | <h2 class="memtitle"><span class="permalink"><a href="#addef260aaa3c7f7f1d08f821b823af33">◆ </a></span>CompareActivationUint8Test()</h2> |
| 838 | |
| 839 | <div class="memitem"> |
| 840 | <div class="memproto"> |
| 841 | <table class="memname"> |
| 842 | <tr> |
| 843 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t,4> CompareActivationUint8Test </td> |
| 844 | <td>(</td> |
| 845 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 846 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 847 | </tr> |
| 848 | <tr> |
| 849 | <td class="paramkey"></td> |
| 850 | <td></td> |
| 851 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 852 | <td class="paramname"><em>memoryManager</em>, </td> |
| 853 | </tr> |
| 854 | <tr> |
| 855 | <td class="paramkey"></td> |
| 856 | <td></td> |
| 857 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 858 | <td class="paramname"><em>refWorkloadFactory</em>, </td> |
| 859 | </tr> |
| 860 | <tr> |
| 861 | <td class="paramkey"></td> |
| 862 | <td></td> |
| 863 | <td class="paramtype"><a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> |
| 864 | <td class="paramname"><em>f</em> </td> |
| 865 | </tr> |
| 866 | <tr> |
| 867 | <td></td> |
| 868 | <td>)</td> |
| 869 | <td></td><td></td> |
| 870 | </tr> |
| 871 | </table> |
| 872 | </div><div class="memdoc"> |
| 873 | |
| 874 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l01126">1126</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 875 | <div class="fragment"><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> {</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="keywordflow">return</span> CompareActivationTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 50);</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> }</div></div><!-- fragment --> |
| 876 | </div> |
| 877 | </div> |
| 878 | <a id="a7aaeeaa0a8683fae56caa66849228a87"></a> |
| 879 | <h2 class="memtitle"><span class="permalink"><a href="#a7aaeeaa0a8683fae56caa66849228a87">◆ </a></span>CompareBoundedReLuTest()</h2> |
| 880 | |
| 881 | <div class="memitem"> |
| 882 | <div class="memproto"> |
| 883 | <table class="memname"> |
| 884 | <tr> |
| 885 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> CompareBoundedReLuTest </td> |
| 886 | <td>(</td> |
| 887 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 888 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 889 | </tr> |
| 890 | <tr> |
| 891 | <td class="paramkey"></td> |
| 892 | <td></td> |
| 893 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 894 | <td class="paramname"><em>memoryManager</em>, </td> |
| 895 | </tr> |
| 896 | <tr> |
| 897 | <td class="paramkey"></td> |
| 898 | <td></td> |
| 899 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 900 | <td class="paramname"><em>refWorkloadFactory</em>, </td> |
| 901 | </tr> |
| 902 | <tr> |
| 903 | <td class="paramkey"></td> |
| 904 | <td></td> |
| 905 | <td class="paramtype">float </td> |
| 906 | <td class="paramname"><em>upperBound</em>, </td> |
| 907 | </tr> |
| 908 | <tr> |
| 909 | <td class="paramkey"></td> |
| 910 | <td></td> |
| 911 | <td class="paramtype">float </td> |
| 912 | <td class="paramname"><em>lowerBound</em> </td> |
| 913 | </tr> |
| 914 | <tr> |
| 915 | <td></td> |
| 916 | <td>)</td> |
| 917 | <td></td><td></td> |
| 918 | </tr> |
| 919 | </table> |
| 920 | </div><div class="memdoc"> |
| 921 | |
| 922 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00284">284</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 923 | |
| 924 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult< T, n >::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult< T, n >::outputExpected</a>.</p> |
| 925 | <div class="fragment"><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> {</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<float, 4></a> result(BoundedReLuRandomInputTestTraits::GetOutputTensorInfo());</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = upperBound;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = lowerBound;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  result.output = BoundedReLuRandomInputTest(</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  workloadFactory, memoryManager, 0.0f, upperBound, activationDescriptor);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  result.outputExpected = BoundedReLuRandomInputTest(</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  refWorkloadFactory, <span class="keyword">nullptr</span>, 0.0f, upperBound, activationDescriptor);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00037">Descriptors.hpp:37</a></div></div> |
| 926 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00020">Descriptors.hpp:20</a></div></div> |
| 927 | <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> |
| 928 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00039">Descriptors.hpp:39</a></div></div> |
| 929 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00035">Descriptors.hpp:35</a></div></div> |
| 930 | <div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) </div></div> |
| 931 | </div><!-- fragment --> |
| 932 | </div> |
| 933 | </div> |
| 934 | <a id="a32a6595835f4cb5e93fec4182ada51bc"></a> |
| 935 | <h2 class="memtitle"><span class="permalink"><a href="#a32a6595835f4cb5e93fec4182ada51bc">◆ </a></span>ConstantLinearActivationInt16Test()</h2> |
| 936 | |
| 937 | <div class="memitem"> |
| 938 | <div class="memproto"> |
| 939 | <table class="memname"> |
| 940 | <tr> |
| 941 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> ConstantLinearActivationInt16Test </td> |
| 942 | <td>(</td> |
| 943 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 944 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 945 | </tr> |
| 946 | <tr> |
| 947 | <td class="paramkey"></td> |
| 948 | <td></td> |
| 949 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 950 | <td class="paramname"><em>memoryManager</em> </td> |
| 951 | </tr> |
| 952 | <tr> |
| 953 | <td></td> |
| 954 | <td>)</td> |
| 955 | <td></td><td></td> |
| 956 | </tr> |
| 957 | </table> |
| 958 | </div><div class="memdoc"> |
| 959 | |
| 960 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00383">383</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 961 | <div class="fragment"><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">return</span> ConstantLinearActivationTestCommon<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> }</div></div><!-- fragment --> |
| 962 | </div> |
| 963 | </div> |
| 964 | <a id="a52af2639a8f96fbbc86343ea8914033a"></a> |
| 965 | <h2 class="memtitle"><span class="permalink"><a href="#a52af2639a8f96fbbc86343ea8914033a">◆ </a></span>ConstantLinearActivationTest()</h2> |
| 966 | |
| 967 | <div class="memitem"> |
| 968 | <div class="memproto"> |
| 969 | <table class="memname"> |
| 970 | <tr> |
| 971 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> ConstantLinearActivationTest </td> |
| 972 | <td>(</td> |
| 973 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 974 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 975 | </tr> |
| 976 | <tr> |
| 977 | <td class="paramkey"></td> |
| 978 | <td></td> |
| 979 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 980 | <td class="paramname"><em>memoryManager</em> </td> |
| 981 | </tr> |
| 982 | <tr> |
| 983 | <td></td> |
| 984 | <td>)</td> |
| 985 | <td></td><td></td> |
| 986 | </tr> |
| 987 | </table> |
| 988 | </div><div class="memdoc"> |
| 989 | |
| 990 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00368">368</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 991 | <div class="fragment"><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> {</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">return</span> ConstantLinearActivationTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> }</div></div><!-- fragment --> |
| 992 | </div> |
| 993 | </div> |
| 994 | <a id="a22562086e72d244fd7cf4156b958c134"></a> |
| 995 | <h2 class="memtitle"><span class="permalink"><a href="#a22562086e72d244fd7cf4156b958c134">◆ </a></span>ConstantLinearActivationTestCommon()</h2> |
| 996 | |
| 997 | <div class="memitem"> |
| 998 | <div class="memproto"> |
| 999 | <table class="memname"> |
| 1000 | <tr> |
| 1001 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T,4> ConstantLinearActivationTestCommon </td> |
| 1002 | <td>(</td> |
| 1003 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1004 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1005 | </tr> |
| 1006 | <tr> |
| 1007 | <td class="paramkey"></td> |
| 1008 | <td></td> |
| 1009 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1010 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1011 | </tr> |
| 1012 | <tr> |
| 1013 | <td class="paramkey"></td> |
| 1014 | <td></td> |
| 1015 | <td class="paramtype">float </td> |
| 1016 | <td class="paramname"><em>qScale</em> = <code>0.0f</code>, </td> |
| 1017 | </tr> |
| 1018 | <tr> |
| 1019 | <td class="paramkey"></td> |
| 1020 | <td></td> |
| 1021 | <td class="paramtype">int32_t </td> |
| 1022 | <td class="paramname"><em>qOffset</em> = <code>0</code> </td> |
| 1023 | </tr> |
| 1024 | <tr> |
| 1025 | <td></td> |
| 1026 | <td>)</td> |
| 1027 | <td></td><td></td> |
| 1028 | </tr> |
| 1029 | </table> |
| 1030 | </div><div class="memdoc"> |
| 1031 | |
| 1032 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00307">307</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1033 | |
| 1034 | <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01082">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::Linear</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult< T, n >::outputExpected</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>.</p> |
| 1035 | <div class="fragment"><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 20;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 17;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 3;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 5;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = {batchSize, inputChannels, inputHeight, inputWidth};</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, shape, ArmnnType);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, shape, ArmnnType);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 4></a> ret(outputTensorInfo);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</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="l00339"></a><span class="lineno"> 339</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="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="comment">// Do linear activation that should leave the tensor unchanged.</span></div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a> data;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0.0f;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a>;</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(data, info);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  inputHandle->Allocate();</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  outputHandle->Allocate();</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  boost::multi_array<T, 4> input = MakeRandomTensor<T, 4>(inputTensorInfo, 7123561);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</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="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  workload->Execute();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="comment">// Ensure output equals input.</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  ret.outputExpected = input;</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00037">Descriptors.hpp:37</a></div></div> |
| 1036 | <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> |
| 1037 | <div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| 1038 | <div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div> |
| 1039 | <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> |
| 1040 | <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> |
| 1041 | <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> |
| 1042 | <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> |
| 1043 | <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> |
| 1044 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00039">Descriptors.hpp:39</a></div></div> |
| 1045 | <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> |
| 1046 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00035">Descriptors.hpp:35</a></div></div> |
| 1047 | <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">armnn::IWorkloadFactory::CreateActivation</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateActivation(const ActivationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01082">WorkloadFactory.cpp:1082</a></div></div> |
| 1048 | <div class="ttc" id="classarmnn_1_1_tensor_info_html_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00275">Tensor.cpp:275</a></div></div> |
| 1049 | <div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00130">WorkloadData.hpp:130</a></div></div> |
| 1050 | <div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div></div> |
| 1051 | </div><!-- fragment --> |
| 1052 | </div> |
| 1053 | </div> |
| 1054 | <a id="a34b322827b0d8ff9f8b3b8fb9410f7d3"></a> |
| 1055 | <h2 class="memtitle"><span class="permalink"><a href="#a34b322827b0d8ff9f8b3b8fb9410f7d3">◆ </a></span>ConstantLinearActivationUint8Test()</h2> |
| 1056 | |
| 1057 | <div class="memitem"> |
| 1058 | <div class="memproto"> |
| 1059 | <table class="memname"> |
| 1060 | <tr> |
| 1061 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> ConstantLinearActivationUint8Test </td> |
| 1062 | <td>(</td> |
| 1063 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1064 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1065 | </tr> |
| 1066 | <tr> |
| 1067 | <td class="paramkey"></td> |
| 1068 | <td></td> |
| 1069 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1070 | <td class="paramname"><em>memoryManager</em> </td> |
| 1071 | </tr> |
| 1072 | <tr> |
| 1073 | <td></td> |
| 1074 | <td>)</td> |
| 1075 | <td></td><td></td> |
| 1076 | </tr> |
| 1077 | </table> |
| 1078 | </div><div class="memdoc"> |
| 1079 | |
| 1080 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00375">375</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1081 | <div class="fragment"><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">return</span> ConstantLinearActivationTestCommon<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  workloadFactory, memoryManager, 4.0f, 3);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> }</div></div><!-- fragment --> |
| 1082 | </div> |
| 1083 | </div> |
| 1084 | <a id="ac01b6901c3f2921c998aff77a8362f87"></a> |
| 1085 | <h2 class="memtitle"><span class="permalink"><a href="#ac01b6901c3f2921c998aff77a8362f87">◆ </a></span>LeakyReLuInt16Test()</h2> |
| 1086 | |
| 1087 | <div class="memitem"> |
| 1088 | <div class="memproto"> |
| 1089 | <table class="memname"> |
| 1090 | <tr> |
| 1091 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> LeakyReLuInt16Test </td> |
| 1092 | <td>(</td> |
| 1093 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1094 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1095 | </tr> |
| 1096 | <tr> |
| 1097 | <td class="paramkey"></td> |
| 1098 | <td></td> |
| 1099 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1100 | <td class="paramname"><em>memoryManager</em> </td> |
| 1101 | </tr> |
| 1102 | <tr> |
| 1103 | <td></td> |
| 1104 | <td>)</td> |
| 1105 | <td></td><td></td> |
| 1106 | </tr> |
| 1107 | </table> |
| 1108 | </div><div class="memdoc"> |
| 1109 | |
| 1110 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00729">729</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1111 | <div class="fragment"><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> {</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keywordflow">return</span> LeakyReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span> }</div></div><!-- fragment --> |
| 1112 | </div> |
| 1113 | </div> |
| 1114 | <a id="a0120909fa6b3032270399355f14654de"></a> |
| 1115 | <h2 class="memtitle"><span class="permalink"><a href="#a0120909fa6b3032270399355f14654de">◆ </a></span>LeakyReLuTest()</h2> |
| 1116 | |
| 1117 | <div class="memitem"> |
| 1118 | <div class="memproto"> |
| 1119 | <table class="memname"> |
| 1120 | <tr> |
| 1121 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> LeakyReLuTest </td> |
| 1122 | <td>(</td> |
| 1123 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1124 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1125 | </tr> |
| 1126 | <tr> |
| 1127 | <td class="paramkey"></td> |
| 1128 | <td></td> |
| 1129 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1130 | <td class="paramname"><em>memoryManager</em> </td> |
| 1131 | </tr> |
| 1132 | <tr> |
| 1133 | <td></td> |
| 1134 | <td>)</td> |
| 1135 | <td></td><td></td> |
| 1136 | </tr> |
| 1137 | </table> |
| 1138 | </div><div class="memdoc"> |
| 1139 | |
| 1140 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00715">715</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1141 | <div class="fragment"><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> {</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="keywordflow">return</span> LeakyReLuTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> }</div></div><!-- fragment --> |
| 1142 | </div> |
| 1143 | </div> |
| 1144 | <a id="a6e45714708a6daf8688ef6ca58e54827"></a> |
| 1145 | <h2 class="memtitle"><span class="permalink"><a href="#a6e45714708a6daf8688ef6ca58e54827">◆ </a></span>LeakyReLuTestCommon()</h2> |
| 1146 | |
| 1147 | <div class="memitem"> |
| 1148 | <div class="memproto"> |
| 1149 | <table class="memname"> |
| 1150 | <tr> |
| 1151 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> LeakyReLuTestCommon </td> |
| 1152 | <td>(</td> |
| 1153 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1154 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1155 | </tr> |
| 1156 | <tr> |
| 1157 | <td class="paramkey"></td> |
| 1158 | <td></td> |
| 1159 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1160 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1161 | </tr> |
| 1162 | <tr> |
| 1163 | <td class="paramkey"></td> |
| 1164 | <td></td> |
| 1165 | <td class="paramtype">float </td> |
| 1166 | <td class="paramname"><em>qScale</em>, </td> |
| 1167 | </tr> |
| 1168 | <tr> |
| 1169 | <td class="paramkey"></td> |
| 1170 | <td></td> |
| 1171 | <td class="paramtype">int32_t </td> |
| 1172 | <td class="paramname"><em>qOffset</em> </td> |
| 1173 | </tr> |
| 1174 | <tr> |
| 1175 | <td></td> |
| 1176 | <td>)</td> |
| 1177 | <td></td><td></td> |
| 1178 | </tr> |
| 1179 | </table> |
| 1180 | </div><div class="memdoc"> |
| 1181 | |
| 1182 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00680">680</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1183 | |
| 1184 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::LeakyReLu</a>.</p> |
| 1185 | <div class="fragment"><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> {</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  };</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a = 0.01f;</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">auto</span> f = [a](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  {</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keywordflow">return</span> value > 0.0f ? value : (value * a);</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  };</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> </div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  memoryManager,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a>,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  a,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  0.f,</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  qScale,</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  qOffset,</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  inputData,</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  qScale,</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  qOffset,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  outputExpectedData);</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div></div> |
| 1186 | </div><!-- fragment --> |
| 1187 | </div> |
| 1188 | </div> |
| 1189 | <a id="af9293a4d81453abbe8cbdc788c290943"></a> |
| 1190 | <h2 class="memtitle"><span class="permalink"><a href="#af9293a4d81453abbe8cbdc788c290943">◆ </a></span>LeakyReLuUint8Test()</h2> |
| 1191 | |
| 1192 | <div class="memitem"> |
| 1193 | <div class="memproto"> |
| 1194 | <table class="memname"> |
| 1195 | <tr> |
| 1196 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> LeakyReLuUint8Test </td> |
| 1197 | <td>(</td> |
| 1198 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1199 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1200 | </tr> |
| 1201 | <tr> |
| 1202 | <td class="paramkey"></td> |
| 1203 | <td></td> |
| 1204 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1205 | <td class="paramname"><em>memoryManager</em> </td> |
| 1206 | </tr> |
| 1207 | <tr> |
| 1208 | <td></td> |
| 1209 | <td>)</td> |
| 1210 | <td></td><td></td> |
| 1211 | </tr> |
| 1212 | </table> |
| 1213 | </div><div class="memdoc"> |
| 1214 | |
| 1215 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00722">722</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1216 | <div class="fragment"><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> {</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keywordflow">return</span> LeakyReLuTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> }</div></div><!-- fragment --> |
| 1217 | </div> |
| 1218 | </div> |
| 1219 | <a id="a20b01cc1552ab2c3abd70166fdd35faf"></a> |
| 1220 | <h2 class="memtitle"><span class="permalink"><a href="#a20b01cc1552ab2c3abd70166fdd35faf">◆ </a></span>ReLuInt16Test()</h2> |
| 1221 | |
| 1222 | <div class="memitem"> |
| 1223 | <div class="memproto"> |
| 1224 | <table class="memname"> |
| 1225 | <tr> |
| 1226 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> ReLuInt16Test </td> |
| 1227 | <td>(</td> |
| 1228 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1229 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1230 | </tr> |
| 1231 | <tr> |
| 1232 | <td class="paramkey"></td> |
| 1233 | <td></td> |
| 1234 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1235 | <td class="paramname"><em>memoryManager</em> </td> |
| 1236 | </tr> |
| 1237 | <tr> |
| 1238 | <td></td> |
| 1239 | <td>)</td> |
| 1240 | <td></td><td></td> |
| 1241 | </tr> |
| 1242 | </table> |
| 1243 | </div><div class="memdoc"> |
| 1244 | |
| 1245 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00555">555</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1246 | <div class="fragment"><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> {</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">return</span> ReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> }</div></div><!-- fragment --> |
| 1247 | </div> |
| 1248 | </div> |
| 1249 | <a id="a58872a37a87790e3a3f91ee254ce304a"></a> |
| 1250 | <h2 class="memtitle"><span class="permalink"><a href="#a58872a37a87790e3a3f91ee254ce304a">◆ </a></span>ReLuTest()</h2> |
| 1251 | |
| 1252 | <div class="memitem"> |
| 1253 | <div class="memproto"> |
| 1254 | <table class="memname"> |
| 1255 | <tr> |
| 1256 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> ReLuTest </td> |
| 1257 | <td>(</td> |
| 1258 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1259 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1260 | </tr> |
| 1261 | <tr> |
| 1262 | <td class="paramkey"></td> |
| 1263 | <td></td> |
| 1264 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1265 | <td class="paramname"><em>memoryManager</em> </td> |
| 1266 | </tr> |
| 1267 | <tr> |
| 1268 | <td></td> |
| 1269 | <td>)</td> |
| 1270 | <td></td><td></td> |
| 1271 | </tr> |
| 1272 | </table> |
| 1273 | </div><div class="memdoc"> |
| 1274 | |
| 1275 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00570">570</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1276 | <div class="fragment"><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> {</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">return</span> ReLuTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> }</div></div><!-- fragment --> |
| 1277 | </div> |
| 1278 | </div> |
| 1279 | <a id="acf22306b81aa054c64c48730b2786f96"></a> |
| 1280 | <h2 class="memtitle"><span class="permalink"><a href="#acf22306b81aa054c64c48730b2786f96">◆ </a></span>ReLuTestCommon()</h2> |
| 1281 | |
| 1282 | <div class="memitem"> |
| 1283 | <div class="memproto"> |
| 1284 | <table class="memname"> |
| 1285 | <tr> |
| 1286 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> ReLuTestCommon </td> |
| 1287 | <td>(</td> |
| 1288 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1289 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1290 | </tr> |
| 1291 | <tr> |
| 1292 | <td class="paramkey"></td> |
| 1293 | <td></td> |
| 1294 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1295 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1296 | </tr> |
| 1297 | <tr> |
| 1298 | <td class="paramkey"></td> |
| 1299 | <td></td> |
| 1300 | <td class="paramtype">float </td> |
| 1301 | <td class="paramname"><em>qScale</em>, </td> |
| 1302 | </tr> |
| 1303 | <tr> |
| 1304 | <td class="paramkey"></td> |
| 1305 | <td></td> |
| 1306 | <td class="paramtype">int32_t </td> |
| 1307 | <td class="paramname"><em>qOffset</em> </td> |
| 1308 | </tr> |
| 1309 | <tr> |
| 1310 | <td></td> |
| 1311 | <td>)</td> |
| 1312 | <td></td><td></td> |
| 1313 | </tr> |
| 1314 | </table> |
| 1315 | </div><div class="memdoc"> |
| 1316 | |
| 1317 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00521">521</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1318 | |
| 1319 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> |
| 1320 | <div class="fragment"><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> {</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  };</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">return</span> std::fmax(0.0f, value);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  };</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  memoryManager,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  0.f,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  0.f,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  qScale,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  qOffset,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  inputData,</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  qScale,</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  qOffset,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  outputExpectedData);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div> |
| 1321 | </div><!-- fragment --> |
| 1322 | </div> |
| 1323 | </div> |
| 1324 | <a id="aa986502e638eba65543c1cbb01467d26"></a> |
| 1325 | <h2 class="memtitle"><span class="permalink"><a href="#aa986502e638eba65543c1cbb01467d26">◆ </a></span>ReLuUint8Test()</h2> |
| 1326 | |
| 1327 | <div class="memitem"> |
| 1328 | <div class="memproto"> |
| 1329 | <table class="memname"> |
| 1330 | <tr> |
| 1331 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> ReLuUint8Test </td> |
| 1332 | <td>(</td> |
| 1333 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1334 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1335 | </tr> |
| 1336 | <tr> |
| 1337 | <td class="paramkey"></td> |
| 1338 | <td></td> |
| 1339 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1340 | <td class="paramname"><em>memoryManager</em> </td> |
| 1341 | </tr> |
| 1342 | <tr> |
| 1343 | <td></td> |
| 1344 | <td>)</td> |
| 1345 | <td></td><td></td> |
| 1346 | </tr> |
| 1347 | </table> |
| 1348 | </div><div class="memdoc"> |
| 1349 | |
| 1350 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00563">563</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1351 | <div class="fragment"><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> {</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keywordflow">return</span> ReLuTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> }</div></div><!-- fragment --> |
| 1352 | </div> |
| 1353 | </div> |
| 1354 | <a id="aaeea20fa5e5934ea49b8f764526a2d98"></a> |
| 1355 | <h2 class="memtitle"><span class="permalink"><a href="#aaeea20fa5e5934ea49b8f764526a2d98">◆ </a></span>SimpleActivationTest()</h2> |
| 1356 | |
| 1357 | <div class="memitem"> |
| 1358 | <div class="memproto"> |
| 1359 | <table class="memname"> |
| 1360 | <tr> |
| 1361 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> SimpleActivationTest </td> |
| 1362 | <td>(</td> |
| 1363 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1364 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1365 | </tr> |
| 1366 | <tr> |
| 1367 | <td class="paramkey"></td> |
| 1368 | <td></td> |
| 1369 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1370 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1371 | </tr> |
| 1372 | <tr> |
| 1373 | <td class="paramkey"></td> |
| 1374 | <td></td> |
| 1375 | <td class="paramtype"><a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> |
| 1376 | <td class="paramname"><em>activationFunction</em>, </td> |
| 1377 | </tr> |
| 1378 | <tr> |
| 1379 | <td class="paramkey"></td> |
| 1380 | <td></td> |
| 1381 | <td class="paramtype">float </td> |
| 1382 | <td class="paramname"><em>activationParameterA</em>, </td> |
| 1383 | </tr> |
| 1384 | <tr> |
| 1385 | <td class="paramkey"></td> |
| 1386 | <td></td> |
| 1387 | <td class="paramtype">float </td> |
| 1388 | <td class="paramname"><em>activationParameterB</em>, </td> |
| 1389 | </tr> |
| 1390 | <tr> |
| 1391 | <td class="paramkey"></td> |
| 1392 | <td></td> |
| 1393 | <td class="paramtype">float </td> |
| 1394 | <td class="paramname"><em>scale</em>, </td> |
| 1395 | </tr> |
| 1396 | <tr> |
| 1397 | <td class="paramkey"></td> |
| 1398 | <td></td> |
| 1399 | <td class="paramtype">int32_t </td> |
| 1400 | <td class="paramname"><em>offset</em>, </td> |
| 1401 | </tr> |
| 1402 | <tr> |
| 1403 | <td class="paramkey"></td> |
| 1404 | <td></td> |
| 1405 | <td class="paramtype">const std::vector< float > & </td> |
| 1406 | <td class="paramname"><em>inputData</em>, </td> |
| 1407 | </tr> |
| 1408 | <tr> |
| 1409 | <td class="paramkey"></td> |
| 1410 | <td></td> |
| 1411 | <td class="paramtype">float </td> |
| 1412 | <td class="paramname"><em>outScale</em>, </td> |
| 1413 | </tr> |
| 1414 | <tr> |
| 1415 | <td class="paramkey"></td> |
| 1416 | <td></td> |
| 1417 | <td class="paramtype">int32_t </td> |
| 1418 | <td class="paramname"><em>outOffset</em>, </td> |
| 1419 | </tr> |
| 1420 | <tr> |
| 1421 | <td class="paramkey"></td> |
| 1422 | <td></td> |
| 1423 | <td class="paramtype">const std::vector< float > & </td> |
| 1424 | <td class="paramname"><em>outputExpectedData</em> </td> |
| 1425 | </tr> |
| 1426 | <tr> |
| 1427 | <td></td> |
| 1428 | <td>)</td> |
| 1429 | <td></td><td></td> |
| 1430 | </tr> |
| 1431 | </table> |
| 1432 | </div><div class="memdoc"> |
| 1433 | |
| 1434 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00392">392</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1435 | |
| 1436 | <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01082">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult< T, n >::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>.</p> |
| 1437 | <div class="fragment"><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 16u;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 1u;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 1u;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = 1u;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = inputWidth;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = inputHeight;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = inputChannels;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  constexpr <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = inputBatchSize;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, ArmnnType);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, ArmnnType);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(scale);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  inputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  outputTensorInfo.SetQuantizationScale(outScale);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  outputTensorInfo.SetQuantizationOffset(outOffset);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 4></a> result(inputTensorInfo);</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keyword">auto</span> input = MakeTensor<T, 4>(inputTensorInfo, armnnUtils::QuantizedVector<T>(inputData, scale, offset));</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</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="l00433"></a><span class="lineno"> 433</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="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="comment">// Setup bounded ReLu.</span></div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = activationFunction;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = activationParameterA;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = activationParameterB;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(descriptor, workloadInfo);</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> </div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  inputHandle->Allocate();</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  outputHandle->Allocate();</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</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="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  workload->Execute();</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&result.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  result.outputExpected =</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  MakeTensor<T, 4>(outputTensorInfo, armnnUtils::QuantizedVector<T>(outputExpectedData, outScale, outOffset));</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00037">Descriptors.hpp:37</a></div></div> |
| 1438 | <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> |
| 1439 | <div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div> |
| 1440 | <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> |
| 1441 | <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> |
| 1442 | <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> |
| 1443 | <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> |
| 1444 | <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> |
| 1445 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00039">Descriptors.hpp:39</a></div></div> |
| 1446 | <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> |
| 1447 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00035">Descriptors.hpp:35</a></div></div> |
| 1448 | <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">armnn::IWorkloadFactory::CreateActivation</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateActivation(const ActivationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01082">WorkloadFactory.cpp:1082</a></div></div> |
| 1449 | <div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00130">WorkloadData.hpp:130</a></div></div> |
| 1450 | </div><!-- fragment --> |
| 1451 | </div> |
| 1452 | </div> |
| 1453 | <a id="a6558a4306d758625ab7804e9cb70b058"></a> |
| 1454 | <h2 class="memtitle"><span class="permalink"><a href="#a6558a4306d758625ab7804e9cb70b058">◆ </a></span>SimpleSigmoidInt16Test()</h2> |
| 1455 | |
| 1456 | <div class="memitem"> |
| 1457 | <div class="memproto"> |
| 1458 | <table class="memname"> |
| 1459 | <tr> |
| 1460 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> SimpleSigmoidInt16Test </td> |
| 1461 | <td>(</td> |
| 1462 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1463 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1464 | </tr> |
| 1465 | <tr> |
| 1466 | <td class="paramkey"></td> |
| 1467 | <td></td> |
| 1468 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1469 | <td class="paramname"><em>memoryManager</em> </td> |
| 1470 | </tr> |
| 1471 | <tr> |
| 1472 | <td></td> |
| 1473 | <td>)</td> |
| 1474 | <td></td><td></td> |
| 1475 | </tr> |
| 1476 | </table> |
| 1477 | </div><div class="memdoc"> |
| 1478 | |
| 1479 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00513">513</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1480 | <div class="fragment"><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> {</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">return</span> SimpleSigmoidTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> }</div></div><!-- fragment --> |
| 1481 | </div> |
| 1482 | </div> |
| 1483 | <a id="aa87c451f7a773fd4ec9cdf11c20d7a58"></a> |
| 1484 | <h2 class="memtitle"><span class="permalink"><a href="#aa87c451f7a773fd4ec9cdf11c20d7a58">◆ </a></span>SimpleSigmoidTest()</h2> |
| 1485 | |
| 1486 | <div class="memitem"> |
| 1487 | <div class="memproto"> |
| 1488 | <table class="memname"> |
| 1489 | <tr> |
| 1490 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> SimpleSigmoidTest </td> |
| 1491 | <td>(</td> |
| 1492 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1493 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1494 | </tr> |
| 1495 | <tr> |
| 1496 | <td class="paramkey"></td> |
| 1497 | <td></td> |
| 1498 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1499 | <td class="paramname"><em>memoryManager</em> </td> |
| 1500 | </tr> |
| 1501 | <tr> |
| 1502 | <td></td> |
| 1503 | <td>)</td> |
| 1504 | <td></td><td></td> |
| 1505 | </tr> |
| 1506 | </table> |
| 1507 | </div><div class="memdoc"> |
| 1508 | |
| 1509 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00499">499</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1510 | <div class="fragment"><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> {</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">return</span> SimpleSigmoidTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> }</div></div><!-- fragment --> |
| 1511 | </div> |
| 1512 | </div> |
| 1513 | <a id="a1020322feb8c6fe89ced59fcca8277c4"></a> |
| 1514 | <h2 class="memtitle"><span class="permalink"><a href="#a1020322feb8c6fe89ced59fcca8277c4">◆ </a></span>SimpleSigmoidTestCommon()</h2> |
| 1515 | |
| 1516 | <div class="memitem"> |
| 1517 | <div class="memproto"> |
| 1518 | <table class="memname"> |
| 1519 | <tr> |
| 1520 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> SimpleSigmoidTestCommon </td> |
| 1521 | <td>(</td> |
| 1522 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1523 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1524 | </tr> |
| 1525 | <tr> |
| 1526 | <td class="paramkey"></td> |
| 1527 | <td></td> |
| 1528 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1529 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1530 | </tr> |
| 1531 | <tr> |
| 1532 | <td class="paramkey"></td> |
| 1533 | <td></td> |
| 1534 | <td class="paramtype">float </td> |
| 1535 | <td class="paramname"><em>qScale</em>, </td> |
| 1536 | </tr> |
| 1537 | <tr> |
| 1538 | <td class="paramkey"></td> |
| 1539 | <td></td> |
| 1540 | <td class="paramtype">int32_t </td> |
| 1541 | <td class="paramname"><em>qOffset</em> </td> |
| 1542 | </tr> |
| 1543 | <tr> |
| 1544 | <td></td> |
| 1545 | <td>)</td> |
| 1546 | <td></td><td></td> |
| 1547 | </tr> |
| 1548 | </table> |
| 1549 | </div><div class="memdoc"> |
| 1550 | |
| 1551 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00464">464</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1552 | |
| 1553 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>.</p> |
| 1554 | <div class="fragment"><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  std::vector<float> inputData =</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  {</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  };</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">return</span> 1.0f / (1.0f + std::exp(-value));</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  };</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  memoryManager,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a>,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  0.f,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  0.f,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  qScale,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  qOffset,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  inputData,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  1.f / 256.f,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  0,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  outputExpectedData);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div> |
| 1555 | </div><!-- fragment --> |
| 1556 | </div> |
| 1557 | </div> |
| 1558 | <a id="a0889979f9ffb67b036c3928c6e94af50"></a> |
| 1559 | <h2 class="memtitle"><span class="permalink"><a href="#a0889979f9ffb67b036c3928c6e94af50">◆ </a></span>SimpleSigmoidUint8Test()</h2> |
| 1560 | |
| 1561 | <div class="memitem"> |
| 1562 | <div class="memproto"> |
| 1563 | <table class="memname"> |
| 1564 | <tr> |
| 1565 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> SimpleSigmoidUint8Test </td> |
| 1566 | <td>(</td> |
| 1567 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1568 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1569 | </tr> |
| 1570 | <tr> |
| 1571 | <td class="paramkey"></td> |
| 1572 | <td></td> |
| 1573 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1574 | <td class="paramname"><em>memoryManager</em> </td> |
| 1575 | </tr> |
| 1576 | <tr> |
| 1577 | <td></td> |
| 1578 | <td>)</td> |
| 1579 | <td></td><td></td> |
| 1580 | </tr> |
| 1581 | </table> |
| 1582 | </div><div class="memdoc"> |
| 1583 | |
| 1584 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00506">506</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1585 | <div class="fragment"><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> {</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">return</span> SimpleSigmoidTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 50);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> }</div></div><!-- fragment --> |
| 1586 | </div> |
| 1587 | </div> |
| 1588 | <a id="a641db2befcd47ac97af966e20b1c4c2c"></a> |
| 1589 | <h2 class="memtitle"><span class="permalink"><a href="#a641db2befcd47ac97af966e20b1c4c2c">◆ </a></span>SoftReLuInt16Test()</h2> |
| 1590 | |
| 1591 | <div class="memitem"> |
| 1592 | <div class="memproto"> |
| 1593 | <table class="memname"> |
| 1594 | <tr> |
| 1595 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> SoftReLuInt16Test </td> |
| 1596 | <td>(</td> |
| 1597 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1598 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1599 | </tr> |
| 1600 | <tr> |
| 1601 | <td class="paramkey"></td> |
| 1602 | <td></td> |
| 1603 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1604 | <td class="paramname"><em>memoryManager</em> </td> |
| 1605 | </tr> |
| 1606 | <tr> |
| 1607 | <td></td> |
| 1608 | <td>)</td> |
| 1609 | <td></td><td></td> |
| 1610 | </tr> |
| 1611 | </table> |
| 1612 | </div><div class="memdoc"> |
| 1613 | |
| 1614 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00672">672</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1615 | <div class="fragment"><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> {</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keywordflow">return</span> SoftReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> }</div></div><!-- fragment --> |
| 1616 | </div> |
| 1617 | </div> |
| 1618 | <a id="a8bfdab68fed1467b8720cceb47881236"></a> |
| 1619 | <h2 class="memtitle"><span class="permalink"><a href="#a8bfdab68fed1467b8720cceb47881236">◆ </a></span>SoftReLuTest()</h2> |
| 1620 | |
| 1621 | <div class="memitem"> |
| 1622 | <div class="memproto"> |
| 1623 | <table class="memname"> |
| 1624 | <tr> |
| 1625 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> SoftReLuTest </td> |
| 1626 | <td>(</td> |
| 1627 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1628 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1629 | </tr> |
| 1630 | <tr> |
| 1631 | <td class="paramkey"></td> |
| 1632 | <td></td> |
| 1633 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1634 | <td class="paramname"><em>memoryManager</em> </td> |
| 1635 | </tr> |
| 1636 | <tr> |
| 1637 | <td></td> |
| 1638 | <td>)</td> |
| 1639 | <td></td><td></td> |
| 1640 | </tr> |
| 1641 | </table> |
| 1642 | </div><div class="memdoc"> |
| 1643 | |
| 1644 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00658">658</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1645 | <div class="fragment"><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> {</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keywordflow">return</span> SoftReLuTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> }</div></div><!-- fragment --> |
| 1646 | </div> |
| 1647 | </div> |
| 1648 | <a id="a4b43ab0b58fc8d4ad51b1b71c0e35622"></a> |
| 1649 | <h2 class="memtitle"><span class="permalink"><a href="#a4b43ab0b58fc8d4ad51b1b71c0e35622">◆ </a></span>SoftReLuTestCommon()</h2> |
| 1650 | |
| 1651 | <div class="memitem"> |
| 1652 | <div class="memproto"> |
| 1653 | <table class="memname"> |
| 1654 | <tr> |
| 1655 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> SoftReLuTestCommon </td> |
| 1656 | <td>(</td> |
| 1657 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1658 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1659 | </tr> |
| 1660 | <tr> |
| 1661 | <td class="paramkey"></td> |
| 1662 | <td></td> |
| 1663 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1664 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1665 | </tr> |
| 1666 | <tr> |
| 1667 | <td class="paramkey"></td> |
| 1668 | <td></td> |
| 1669 | <td class="paramtype">float </td> |
| 1670 | <td class="paramname"><em>qScale</em>, </td> |
| 1671 | </tr> |
| 1672 | <tr> |
| 1673 | <td class="paramkey"></td> |
| 1674 | <td></td> |
| 1675 | <td class="paramtype">int32_t </td> |
| 1676 | <td class="paramname"><em>qOffset</em> </td> |
| 1677 | </tr> |
| 1678 | <tr> |
| 1679 | <td></td> |
| 1680 | <td>)</td> |
| 1681 | <td></td><td></td> |
| 1682 | </tr> |
| 1683 | </table> |
| 1684 | </div><div class="memdoc"> |
| 1685 | |
| 1686 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00624">624</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1687 | |
| 1688 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::SoftReLu</a>.</p> |
| 1689 | <div class="fragment"><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> {</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  };</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  {</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keywordflow">return</span> std::log(1.0f + std::exp(value));</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  };</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  memoryManager,</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a>,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  0.f,</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  0.f,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  qScale,</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  qOffset,</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  inputData,</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  qScale,</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  qOffset,</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  outputExpectedData);</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a></div></div> |
| 1690 | </div><!-- fragment --> |
| 1691 | </div> |
| 1692 | </div> |
| 1693 | <a id="a732229b22cff2a8f96798c38832cab92"></a> |
| 1694 | <h2 class="memtitle"><span class="permalink"><a href="#a732229b22cff2a8f96798c38832cab92">◆ </a></span>SoftReLuUint8Test()</h2> |
| 1695 | |
| 1696 | <div class="memitem"> |
| 1697 | <div class="memproto"> |
| 1698 | <table class="memname"> |
| 1699 | <tr> |
| 1700 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> SoftReLuUint8Test </td> |
| 1701 | <td>(</td> |
| 1702 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1703 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1704 | </tr> |
| 1705 | <tr> |
| 1706 | <td class="paramkey"></td> |
| 1707 | <td></td> |
| 1708 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1709 | <td class="paramname"><em>memoryManager</em> </td> |
| 1710 | </tr> |
| 1711 | <tr> |
| 1712 | <td></td> |
| 1713 | <td>)</td> |
| 1714 | <td></td><td></td> |
| 1715 | </tr> |
| 1716 | </table> |
| 1717 | </div><div class="memdoc"> |
| 1718 | |
| 1719 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00665">665</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1720 | <div class="fragment"><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> {</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keywordflow">return</span> SoftReLuTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> }</div></div><!-- fragment --> |
| 1721 | </div> |
| 1722 | </div> |
| 1723 | <a id="a8b855f5d3e8aab93decfa2bed46fc4cf"></a> |
| 1724 | <h2 class="memtitle"><span class="permalink"><a href="#a8b855f5d3e8aab93decfa2bed46fc4cf">◆ </a></span>SqrtInt16Test()</h2> |
| 1725 | |
| 1726 | <div class="memitem"> |
| 1727 | <div class="memproto"> |
| 1728 | <table class="memname"> |
| 1729 | <tr> |
| 1730 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> SqrtInt16Test </td> |
| 1731 | <td>(</td> |
| 1732 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1733 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1734 | </tr> |
| 1735 | <tr> |
| 1736 | <td class="paramkey"></td> |
| 1737 | <td></td> |
| 1738 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1739 | <td class="paramname"><em>memoryManager</em> </td> |
| 1740 | </tr> |
| 1741 | <tr> |
| 1742 | <td></td> |
| 1743 | <td>)</td> |
| 1744 | <td></td><td></td> |
| 1745 | </tr> |
| 1746 | </table> |
| 1747 | </div><div class="memdoc"> |
| 1748 | |
| 1749 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00897">897</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1750 | <div class="fragment"><div class="line"><a name="l00900"></a><span class="lineno"> 900</span> {</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="keywordflow">return</span> SqrtTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span> }</div></div><!-- fragment --> |
| 1751 | </div> |
| 1752 | </div> |
| 1753 | <a id="a86f53855f5ab422f4e035b1aa11676f8"></a> |
| 1754 | <h2 class="memtitle"><span class="permalink"><a href="#a86f53855f5ab422f4e035b1aa11676f8">◆ </a></span>SqrtNNTest()</h2> |
| 1755 | |
| 1756 | <div class="memitem"> |
| 1757 | <div class="memproto"> |
| 1758 | <table class="memname"> |
| 1759 | <tr> |
| 1760 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 5> SqrtNNTest </td> |
| 1761 | <td>(</td> |
| 1762 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1763 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1764 | </tr> |
| 1765 | <tr> |
| 1766 | <td class="paramkey"></td> |
| 1767 | <td></td> |
| 1768 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1769 | <td class="paramname"><em>memoryManager</em> </td> |
| 1770 | </tr> |
| 1771 | <tr> |
| 1772 | <td></td> |
| 1773 | <td>)</td> |
| 1774 | <td></td><td></td> |
| 1775 | </tr> |
| 1776 | </table> |
| 1777 | </div><div class="memdoc"> |
| 1778 | |
| 1779 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00792">792</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1780 | |
| 1781 | <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01082">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.html#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, and <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p> |
| 1782 | <div class="fragment"><div class="line"><a name="l00795"></a><span class="lineno"> 795</span> {</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> inputDataSize = 120;</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  std::vector<float> inputData(inputDataSize);</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> </div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < inputDataSize; ++i)</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  {</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  inputData[i] = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(i) / 10;</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  }</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> </div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  {</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <span class="keywordflow">return</span> std::sqrt(value);</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  };</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  std::vector<float> outputExpectedData(inputDataSize);</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> </div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  { 1u, 2u, 3u, 4u, 5u }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  { 1u, 2u, 3u, 4u, 5u }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span> </div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<float, 5></a> result(inputTensorInfo);</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span> </div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keyword">auto</span> input = MakeTensor<float, 5>(inputTensorInfo, inputData);</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> </div><div class="line"><a name="l00821"></a><span class="lineno"> 821</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="l00822"></a><span class="lineno"> 822</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="l00823"></a><span class="lineno"> 823</span> </div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a>;</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span> </div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(descriptor, workloadInfo);</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  inputHandle->Allocate();</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  outputHandle->Allocate();</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span> </div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &input[0][0][0][0][0]);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span> </div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  workload->Execute();</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span> </div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&result.output[0][0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  result.outputExpected = MakeTensor<float, 5>(outputTensorInfo, outputExpectedData);</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span> </div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> };</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> |
| 1783 | <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> |
| 1784 | <div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div> |
| 1785 | <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> |
| 1786 | <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> |
| 1787 | <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> |
| 1788 | <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> |
| 1789 | <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> |
| 1790 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> |
| 1791 | <div class="ttc" id="structarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00035">Descriptors.hpp:35</a></div></div> |
| 1792 | <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a4458d75c0db21c6abc941cd93a6a24c5">armnn::IWorkloadFactory::CreateActivation</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateActivation(const ActivationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01082">WorkloadFactory.cpp:1082</a></div></div> |
| 1793 | <div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.html">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00130">WorkloadData.hpp:130</a></div></div> |
| 1794 | </div><!-- fragment --> |
| 1795 | </div> |
| 1796 | </div> |
| 1797 | <a id="ad3928f2c56ed15642ff6306cc6823ebd"></a> |
| 1798 | <h2 class="memtitle"><span class="permalink"><a href="#ad3928f2c56ed15642ff6306cc6823ebd">◆ </a></span>SqrtTest()</h2> |
| 1799 | |
| 1800 | <div class="memitem"> |
| 1801 | <div class="memproto"> |
| 1802 | <table class="memname"> |
| 1803 | <tr> |
| 1804 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> SqrtTest </td> |
| 1805 | <td>(</td> |
| 1806 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1807 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1808 | </tr> |
| 1809 | <tr> |
| 1810 | <td class="paramkey"></td> |
| 1811 | <td></td> |
| 1812 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1813 | <td class="paramname"><em>memoryManager</em> </td> |
| 1814 | </tr> |
| 1815 | <tr> |
| 1816 | <td></td> |
| 1817 | <td>)</td> |
| 1818 | <td></td><td></td> |
| 1819 | </tr> |
| 1820 | </table> |
| 1821 | </div><div class="memdoc"> |
| 1822 | |
| 1823 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00883">883</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1824 | <div class="fragment"><div class="line"><a name="l00886"></a><span class="lineno"> 886</span> {</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keywordflow">return</span> SqrtTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span> }</div></div><!-- fragment --> |
| 1825 | </div> |
| 1826 | </div> |
| 1827 | <a id="aab2458914aa40f83ba027de7a8c07d06"></a> |
| 1828 | <h2 class="memtitle"><span class="permalink"><a href="#aab2458914aa40f83ba027de7a8c07d06">◆ </a></span>SqrtTestCommon()</h2> |
| 1829 | |
| 1830 | <div class="memitem"> |
| 1831 | <div class="memproto"> |
| 1832 | <table class="memname"> |
| 1833 | <tr> |
| 1834 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> SqrtTestCommon </td> |
| 1835 | <td>(</td> |
| 1836 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1837 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1838 | </tr> |
| 1839 | <tr> |
| 1840 | <td class="paramkey"></td> |
| 1841 | <td></td> |
| 1842 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1843 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1844 | </tr> |
| 1845 | <tr> |
| 1846 | <td class="paramkey"></td> |
| 1847 | <td></td> |
| 1848 | <td class="paramtype">float </td> |
| 1849 | <td class="paramname"><em>qScale</em>, </td> |
| 1850 | </tr> |
| 1851 | <tr> |
| 1852 | <td class="paramkey"></td> |
| 1853 | <td></td> |
| 1854 | <td class="paramtype">int32_t </td> |
| 1855 | <td class="paramname"><em>qOffset</em> </td> |
| 1856 | </tr> |
| 1857 | <tr> |
| 1858 | <td></td> |
| 1859 | <td>)</td> |
| 1860 | <td></td><td></td> |
| 1861 | </tr> |
| 1862 | </table> |
| 1863 | </div><div class="memdoc"> |
| 1864 | |
| 1865 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00849">849</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1866 | |
| 1867 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p> |
| 1868 | <div class="fragment"><div class="line"><a name="l00854"></a><span class="lineno"> 854</span> {</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  };</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span> </div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  {</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keywordflow">return</span> std::sqrt(value);</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  };</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span> </div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  memoryManager,</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a>,</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  0.f,</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  0.f,</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  qScale,</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  qOffset,</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  inputData,</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  qScale,</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  qOffset,</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  outputExpectedData);</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> |
| 1869 | </div><!-- fragment --> |
| 1870 | </div> |
| 1871 | </div> |
| 1872 | <a id="a6403e38cfee03672c164e3cba9863147"></a> |
| 1873 | <h2 class="memtitle"><span class="permalink"><a href="#a6403e38cfee03672c164e3cba9863147">◆ </a></span>SqrtUint8Test()</h2> |
| 1874 | |
| 1875 | <div class="memitem"> |
| 1876 | <div class="memproto"> |
| 1877 | <table class="memname"> |
| 1878 | <tr> |
| 1879 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> SqrtUint8Test </td> |
| 1880 | <td>(</td> |
| 1881 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1882 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1883 | </tr> |
| 1884 | <tr> |
| 1885 | <td class="paramkey"></td> |
| 1886 | <td></td> |
| 1887 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1888 | <td class="paramname"><em>memoryManager</em> </td> |
| 1889 | </tr> |
| 1890 | <tr> |
| 1891 | <td></td> |
| 1892 | <td>)</td> |
| 1893 | <td></td><td></td> |
| 1894 | </tr> |
| 1895 | </table> |
| 1896 | </div><div class="memdoc"> |
| 1897 | |
| 1898 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00890">890</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1899 | <div class="fragment"><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> {</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">return</span> SqrtTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span> }</div></div><!-- fragment --> |
| 1900 | </div> |
| 1901 | </div> |
| 1902 | <a id="a26219b66822d57b9fcce7a2504d1fca6"></a> |
| 1903 | <h2 class="memtitle"><span class="permalink"><a href="#a26219b66822d57b9fcce7a2504d1fca6">◆ </a></span>SquareInt16Test()</h2> |
| 1904 | |
| 1905 | <div class="memitem"> |
| 1906 | <div class="memproto"> |
| 1907 | <table class="memname"> |
| 1908 | <tr> |
| 1909 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> SquareInt16Test </td> |
| 1910 | <td>(</td> |
| 1911 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1912 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1913 | </tr> |
| 1914 | <tr> |
| 1915 | <td class="paramkey"></td> |
| 1916 | <td></td> |
| 1917 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1918 | <td class="paramname"><em>memoryManager</em> </td> |
| 1919 | </tr> |
| 1920 | <tr> |
| 1921 | <td></td> |
| 1922 | <td>)</td> |
| 1923 | <td></td><td></td> |
| 1924 | </tr> |
| 1925 | </table> |
| 1926 | </div><div class="memdoc"> |
| 1927 | |
| 1928 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00953">953</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1929 | <div class="fragment"><div class="line"><a name="l00956"></a><span class="lineno"> 956</span> {</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="keywordflow">return</span> SquareTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> }</div></div><!-- fragment --> |
| 1930 | </div> |
| 1931 | </div> |
| 1932 | <a id="a6584d436388485a5bd9252430a0af5b6"></a> |
| 1933 | <h2 class="memtitle"><span class="permalink"><a href="#a6584d436388485a5bd9252430a0af5b6">◆ </a></span>SquareTest()</h2> |
| 1934 | |
| 1935 | <div class="memitem"> |
| 1936 | <div class="memproto"> |
| 1937 | <table class="memname"> |
| 1938 | <tr> |
| 1939 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> SquareTest </td> |
| 1940 | <td>(</td> |
| 1941 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1942 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1943 | </tr> |
| 1944 | <tr> |
| 1945 | <td class="paramkey"></td> |
| 1946 | <td></td> |
| 1947 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1948 | <td class="paramname"><em>memoryManager</em> </td> |
| 1949 | </tr> |
| 1950 | <tr> |
| 1951 | <td></td> |
| 1952 | <td>)</td> |
| 1953 | <td></td><td></td> |
| 1954 | </tr> |
| 1955 | </table> |
| 1956 | </div><div class="memdoc"> |
| 1957 | |
| 1958 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00939">939</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 1959 | <div class="fragment"><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> {</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keywordflow">return</span> SquareTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> }</div></div><!-- fragment --> |
| 1960 | </div> |
| 1961 | </div> |
| 1962 | <a id="a26032da34ce1e283ae30d05ea3bbb103"></a> |
| 1963 | <h2 class="memtitle"><span class="permalink"><a href="#a26032da34ce1e283ae30d05ea3bbb103">◆ </a></span>SquareTestCommon()</h2> |
| 1964 | |
| 1965 | <div class="memitem"> |
| 1966 | <div class="memproto"> |
| 1967 | <table class="memname"> |
| 1968 | <tr> |
| 1969 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> SquareTestCommon </td> |
| 1970 | <td>(</td> |
| 1971 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 1972 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 1973 | </tr> |
| 1974 | <tr> |
| 1975 | <td class="paramkey"></td> |
| 1976 | <td></td> |
| 1977 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 1978 | <td class="paramname"><em>memoryManager</em>, </td> |
| 1979 | </tr> |
| 1980 | <tr> |
| 1981 | <td class="paramkey"></td> |
| 1982 | <td></td> |
| 1983 | <td class="paramtype">float </td> |
| 1984 | <td class="paramname"><em>qScale</em>, </td> |
| 1985 | </tr> |
| 1986 | <tr> |
| 1987 | <td class="paramkey"></td> |
| 1988 | <td></td> |
| 1989 | <td class="paramtype">int32_t </td> |
| 1990 | <td class="paramname"><em>qOffset</em> </td> |
| 1991 | </tr> |
| 1992 | <tr> |
| 1993 | <td></td> |
| 1994 | <td>)</td> |
| 1995 | <td></td><td></td> |
| 1996 | </tr> |
| 1997 | </table> |
| 1998 | </div><div class="memdoc"> |
| 1999 | |
| 2000 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00905">905</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 2001 | |
| 2002 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::Square</a>.</p> |
| 2003 | <div class="fragment"><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> {</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  };</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span> </div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  {</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keywordflow">return</span> std::pow(value,2);</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  };</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span> </div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  memoryManager,</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a>,</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  0.f,</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  0.f,</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  qScale,</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  qOffset,</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  inputData,</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  qScale,</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  qOffset,</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  outputExpectedData);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div></div> |
| 2004 | </div><!-- fragment --> |
| 2005 | </div> |
| 2006 | </div> |
| 2007 | <a id="a61fffaf40ad721073b70c350174d0ff3"></a> |
| 2008 | <h2 class="memtitle"><span class="permalink"><a href="#a61fffaf40ad721073b70c350174d0ff3">◆ </a></span>SquareUint8Test()</h2> |
| 2009 | |
| 2010 | <div class="memitem"> |
| 2011 | <div class="memproto"> |
| 2012 | <table class="memname"> |
| 2013 | <tr> |
| 2014 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> SquareUint8Test </td> |
| 2015 | <td>(</td> |
| 2016 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 2017 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 2018 | </tr> |
| 2019 | <tr> |
| 2020 | <td class="paramkey"></td> |
| 2021 | <td></td> |
| 2022 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 2023 | <td class="paramname"><em>memoryManager</em> </td> |
| 2024 | </tr> |
| 2025 | <tr> |
| 2026 | <td></td> |
| 2027 | <td>)</td> |
| 2028 | <td></td><td></td> |
| 2029 | </tr> |
| 2030 | </table> |
| 2031 | </div><div class="memdoc"> |
| 2032 | |
| 2033 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00946">946</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 2034 | <div class="fragment"><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> {</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="keywordflow">return</span> SquareTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> }</div></div><!-- fragment --> |
| 2035 | </div> |
| 2036 | </div> |
| 2037 | <a id="aacd820bdf2307a2aa667db2899283035"></a> |
| 2038 | <h2 class="memtitle"><span class="permalink"><a href="#aacd820bdf2307a2aa667db2899283035">◆ </a></span>TanhInt16Test()</h2> |
| 2039 | |
| 2040 | <div class="memitem"> |
| 2041 | <div class="memproto"> |
| 2042 | <table class="memname"> |
| 2043 | <tr> |
| 2044 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int16_t, 4> TanhInt16Test </td> |
| 2045 | <td>(</td> |
| 2046 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 2047 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 2048 | </tr> |
| 2049 | <tr> |
| 2050 | <td class="paramkey"></td> |
| 2051 | <td></td> |
| 2052 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 2053 | <td class="paramname"><em>memoryManager</em> </td> |
| 2054 | </tr> |
| 2055 | <tr> |
| 2056 | <td></td> |
| 2057 | <td>)</td> |
| 2058 | <td></td><td></td> |
| 2059 | </tr> |
| 2060 | </table> |
| 2061 | </div><div class="memdoc"> |
| 2062 | |
| 2063 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l01011">1011</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 2064 | <div class="fragment"><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span> {</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  <span class="keywordflow">return</span> TanhTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> }</div></div><!-- fragment --> |
| 2065 | </div> |
| 2066 | </div> |
| 2067 | <a id="a923aa3e41cd11f5eeb7cc973fd8d3c76"></a> |
| 2068 | <h2 class="memtitle"><span class="permalink"><a href="#a923aa3e41cd11f5eeb7cc973fd8d3c76">◆ </a></span>TanhTest()</h2> |
| 2069 | |
| 2070 | <div class="memitem"> |
| 2071 | <div class="memproto"> |
| 2072 | <table class="memname"> |
| 2073 | <tr> |
| 2074 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> TanhTest </td> |
| 2075 | <td>(</td> |
| 2076 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 2077 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 2078 | </tr> |
| 2079 | <tr> |
| 2080 | <td class="paramkey"></td> |
| 2081 | <td></td> |
| 2082 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 2083 | <td class="paramname"><em>memoryManager</em> </td> |
| 2084 | </tr> |
| 2085 | <tr> |
| 2086 | <td></td> |
| 2087 | <td>)</td> |
| 2088 | <td></td><td></td> |
| 2089 | </tr> |
| 2090 | </table> |
| 2091 | </div><div class="memdoc"> |
| 2092 | |
| 2093 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00997">997</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 2094 | <div class="fragment"><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> {</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keywordflow">return</span> TanhTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span> }</div></div><!-- fragment --> |
| 2095 | </div> |
| 2096 | </div> |
| 2097 | <a id="a65aa329dc6abc6cf9dfb6177f42595de"></a> |
| 2098 | <h2 class="memtitle"><span class="permalink"><a href="#a65aa329dc6abc6cf9dfb6177f42595de">◆ </a></span>TanhTestCommon()</h2> |
| 2099 | |
| 2100 | <div class="memitem"> |
| 2101 | <div class="memproto"> |
| 2102 | <table class="memname"> |
| 2103 | <tr> |
| 2104 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> TanhTestCommon </td> |
| 2105 | <td>(</td> |
| 2106 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 2107 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 2108 | </tr> |
| 2109 | <tr> |
| 2110 | <td class="paramkey"></td> |
| 2111 | <td></td> |
| 2112 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 2113 | <td class="paramname"><em>memoryManager</em>, </td> |
| 2114 | </tr> |
| 2115 | <tr> |
| 2116 | <td class="paramkey"></td> |
| 2117 | <td></td> |
| 2118 | <td class="paramtype">float </td> |
| 2119 | <td class="paramname"><em>qScale</em>, </td> |
| 2120 | </tr> |
| 2121 | <tr> |
| 2122 | <td class="paramkey"></td> |
| 2123 | <td></td> |
| 2124 | <td class="paramtype">int32_t </td> |
| 2125 | <td class="paramname"><em>qOffset</em> </td> |
| 2126 | </tr> |
| 2127 | <tr> |
| 2128 | <td></td> |
| 2129 | <td>)</td> |
| 2130 | <td></td><td></td> |
| 2131 | </tr> |
| 2132 | </table> |
| 2133 | </div><div class="memdoc"> |
| 2134 | |
| 2135 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l00961">961</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 2136 | |
| 2137 | <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> |
| 2138 | <div class="fragment"><div class="line"><a name="l00966"></a><span class="lineno"> 966</span> {</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  std::vector<float> inputData = {</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  };</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span> </div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a = 2.0f;</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> b = 3.0f;</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keyword">auto</span> f = [a, b](<span class="keywordtype">float</span> value)</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  {</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <span class="keywordflow">return</span> a * tanhf(b * value);</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  };</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span> </div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  memoryManager,</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a>,</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  a,</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  b,</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  qScale,</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  qOffset,</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  inputData,</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  qScale,</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  qOffset,</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  outputExpectedData);</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span> }</div><div class="ttc" id="namespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div></div> |
| 2139 | </div><!-- fragment --> |
| 2140 | </div> |
| 2141 | </div> |
| 2142 | <a id="abe9073d08e150e3dd5e156af7ea8faa5"></a> |
| 2143 | <h2 class="memtitle"><span class="permalink"><a href="#abe9073d08e150e3dd5e156af7ea8faa5">◆ </a></span>TanhUint8Test()</h2> |
| 2144 | |
| 2145 | <div class="memitem"> |
| 2146 | <div class="memproto"> |
| 2147 | <table class="memname"> |
| 2148 | <tr> |
| 2149 | <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> TanhUint8Test </td> |
| 2150 | <td>(</td> |
| 2151 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| 2152 | <td class="paramname"><em>workloadFactory</em>, </td> |
| 2153 | </tr> |
| 2154 | <tr> |
| 2155 | <td class="paramkey"></td> |
| 2156 | <td></td> |
| 2157 | <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| 2158 | <td class="paramname"><em>memoryManager</em> </td> |
| 2159 | </tr> |
| 2160 | <tr> |
| 2161 | <td></td> |
| 2162 | <td>)</td> |
| 2163 | <td></td><td></td> |
| 2164 | </tr> |
| 2165 | </table> |
| 2166 | </div><div class="memdoc"> |
| 2167 | |
| 2168 | <p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.html#l01004">1004</a> of file <a class="el" href="_activation_test_impl_8cpp_source.html">ActivationTestImpl.cpp</a>.</p> |
| 2169 | <div class="fragment"><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span> {</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keywordflow">return</span> TanhTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 64);</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span> }</div></div><!-- fragment --> |
| 2170 | </div> |
| 2171 | </div> |
| 2172 | </div><!-- contents --> |
| 2173 | </div><!-- doc-content --> |
| 2174 | <!-- start footer part --> |
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| 2177 | <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.html">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.html">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.html">layerTests</a></li><li class="navelem"><a class="el" href="_activation_test_impl_8cpp.html">ActivationTestImpl.cpp</a></li> |
| 2178 | <li class="footer">Generated on Fri Mar 13 2020 16:07:00 for ArmNN by |
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