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diff --git a/20.02/_activation_test_impl_8cpp.xhtml b/20.02/_activation_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..092b8d7a49 --- /dev/null +++ b/20.02/_activation_test_impl_8cpp.xhtml @@ -0,0 +1,2492 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> 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class="headertitle"> +<div class="title">ActivationTestImpl.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_activation_test_impl_8hpp_source.xhtml">ActivationTestImpl.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>></code><br /> +<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> +<code>#include <<a class="el" href="_activation_fixture_8hpp_source.xhtml">backendsCommon/test/ActivationFixture.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br /> +<code>#include <boost/multi_array.hpp></code><br /> +<code>#include <algorithm></code><br /> +</div> +<p><a href="_activation_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#aaa4e43f7b9a9b14145accdc347bc0e18">BoundedReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#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> +<tr class="separator:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a418191b7e7caba8173206c0870bc3684"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a418191b7e7caba8173206c0870bc3684">BoundedReLuUpperAndLowerBoundTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a418191b7e7caba8173206c0870bc3684"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a359c1f734f9da1d6459e9d878e5612ba"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a359c1f734f9da1d6459e9d878e5612ba">BoundedReLuUpperBoundOnlyTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a359c1f734f9da1d6459e9d878e5612ba"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7aa10bded0d26089e0bc4333ada10064"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a7aa10bded0d26089e0bc4333ada10064">BoundedReLuUint8UpperBoundOnlyTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a7aa10bded0d26089e0bc4333ada10064"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0e868e8fa03ce4c4674b007eae5dc1a2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a0e868e8fa03ce4c4674b007eae5dc1a2">BoundedReLuUint8UpperAndLowerBoundTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a0e868e8fa03ce4c4674b007eae5dc1a2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7aaeeaa0a8683fae56caa66849228a87"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a7aaeeaa0a8683fae56caa66849228a87">CompareBoundedReLuTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, float upperBound, float lowerBound)</td></tr> +<tr class="separator:a7aaeeaa0a8683fae56caa66849228a87"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a22562086e72d244fd7cf4156b958c134"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a22562086e72d244fd7cf4156b958c134"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a22562086e72d244fd7cf4156b958c134">ConstantLinearActivationTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale=0.0f, int32_t qOffset=0)</td></tr> +<tr class="separator:a22562086e72d244fd7cf4156b958c134"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a52af2639a8f96fbbc86343ea8914033a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a52af2639a8f96fbbc86343ea8914033a">ConstantLinearActivationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a52af2639a8f96fbbc86343ea8914033a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a34b322827b0d8ff9f8b3b8fb9410f7d3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a34b322827b0d8ff9f8b3b8fb9410f7d3">ConstantLinearActivationUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a34b322827b0d8ff9f8b3b8fb9410f7d3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a32a6595835f4cb5e93fec4182ada51bc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a32a6595835f4cb5e93fec4182ada51bc">ConstantLinearActivationInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a32a6595835f4cb5e93fec4182ada51bc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#aaeea20fa5e5934ea49b8f764526a2d98">SimpleActivationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="namespacearmnn.xhtml#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> +<tr class="separator:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1020322feb8c6fe89ced59fcca8277c4"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a1020322feb8c6fe89ced59fcca8277c4"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a1020322feb8c6fe89ced59fcca8277c4">SimpleSigmoidTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a1020322feb8c6fe89ced59fcca8277c4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa87c451f7a773fd4ec9cdf11c20d7a58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#aa87c451f7a773fd4ec9cdf11c20d7a58">SimpleSigmoidTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aa87c451f7a773fd4ec9cdf11c20d7a58"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0889979f9ffb67b036c3928c6e94af50"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a0889979f9ffb67b036c3928c6e94af50">SimpleSigmoidUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a0889979f9ffb67b036c3928c6e94af50"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6558a4306d758625ab7804e9cb70b058"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a6558a4306d758625ab7804e9cb70b058">SimpleSigmoidInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a6558a4306d758625ab7804e9cb70b058"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acf22306b81aa054c64c48730b2786f96"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:acf22306b81aa054c64c48730b2786f96"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#acf22306b81aa054c64c48730b2786f96">ReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:acf22306b81aa054c64c48730b2786f96"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a20b01cc1552ab2c3abd70166fdd35faf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a20b01cc1552ab2c3abd70166fdd35faf">ReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a20b01cc1552ab2c3abd70166fdd35faf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa986502e638eba65543c1cbb01467d26"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#aa986502e638eba65543c1cbb01467d26">ReLuUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aa986502e638eba65543c1cbb01467d26"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a58872a37a87790e3a3f91ee254ce304a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a58872a37a87790e3a3f91ee254ce304a">ReLuTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a58872a37a87790e3a3f91ee254ce304a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2634923ff28734237c27fcc7c009ce9d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a2634923ff28734237c27fcc7c009ce9d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a2634923ff28734237c27fcc7c009ce9d">BoundedReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a2634923ff28734237c27fcc7c009ce9d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae42bb4023d8578a27159c95dd4b33b28"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#ae42bb4023d8578a27159c95dd4b33b28">BoundedReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ae42bb4023d8578a27159c95dd4b33b28"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a4b43ab0b58fc8d4ad51b1b71c0e35622">SoftReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8bfdab68fed1467b8720cceb47881236"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a8bfdab68fed1467b8720cceb47881236">SoftReLuTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a8bfdab68fed1467b8720cceb47881236"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a732229b22cff2a8f96798c38832cab92"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a732229b22cff2a8f96798c38832cab92">SoftReLuUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a732229b22cff2a8f96798c38832cab92"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a641db2befcd47ac97af966e20b1c4c2c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a641db2befcd47ac97af966e20b1c4c2c">SoftReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a641db2befcd47ac97af966e20b1c4c2c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6e45714708a6daf8688ef6ca58e54827"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a6e45714708a6daf8688ef6ca58e54827"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a6e45714708a6daf8688ef6ca58e54827">LeakyReLuTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a6e45714708a6daf8688ef6ca58e54827"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0120909fa6b3032270399355f14654de"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a0120909fa6b3032270399355f14654de">LeakyReLuTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a0120909fa6b3032270399355f14654de"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af9293a4d81453abbe8cbdc788c290943"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#af9293a4d81453abbe8cbdc788c290943">LeakyReLuUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:af9293a4d81453abbe8cbdc788c290943"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac01b6901c3f2921c998aff77a8362f87"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#ac01b6901c3f2921c998aff77a8362f87">LeakyReLuInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ac01b6901c3f2921c998aff77a8362f87"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa8c2d170a4b51447f575183cee9579ab"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:aa8c2d170a4b51447f575183cee9579ab"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#aa8c2d170a4b51447f575183cee9579ab">AbsTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:aa8c2d170a4b51447f575183cee9579ab"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a31872d5729b4d7734c1eb0d189a0eece"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a31872d5729b4d7734c1eb0d189a0eece">AbsTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a31872d5729b4d7734c1eb0d189a0eece"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a11baf4886951944fcf149e2a92197e58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a11baf4886951944fcf149e2a92197e58">AbsUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a11baf4886951944fcf149e2a92197e58"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8dd4b2ac72e85dcfeb8540b7d5649b47"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a8dd4b2ac72e85dcfeb8540b7d5649b47">AbsInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a8dd4b2ac72e85dcfeb8540b7d5649b47"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a86f53855f5ab422f4e035b1aa11676f8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a86f53855f5ab422f4e035b1aa11676f8">SqrtNNTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a86f53855f5ab422f4e035b1aa11676f8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aab2458914aa40f83ba027de7a8c07d06"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:aab2458914aa40f83ba027de7a8c07d06"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#aab2458914aa40f83ba027de7a8c07d06">SqrtTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:aab2458914aa40f83ba027de7a8c07d06"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad3928f2c56ed15642ff6306cc6823ebd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#ad3928f2c56ed15642ff6306cc6823ebd">SqrtTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ad3928f2c56ed15642ff6306cc6823ebd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6403e38cfee03672c164e3cba9863147"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a6403e38cfee03672c164e3cba9863147">SqrtUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a6403e38cfee03672c164e3cba9863147"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8b855f5d3e8aab93decfa2bed46fc4cf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a8b855f5d3e8aab93decfa2bed46fc4cf">SqrtInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a8b855f5d3e8aab93decfa2bed46fc4cf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a26032da34ce1e283ae30d05ea3bbb103"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a26032da34ce1e283ae30d05ea3bbb103"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a26032da34ce1e283ae30d05ea3bbb103">SquareTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a26032da34ce1e283ae30d05ea3bbb103"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6584d436388485a5bd9252430a0af5b6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a6584d436388485a5bd9252430a0af5b6">SquareTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a6584d436388485a5bd9252430a0af5b6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a61fffaf40ad721073b70c350174d0ff3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a61fffaf40ad721073b70c350174d0ff3">SquareUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a61fffaf40ad721073b70c350174d0ff3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a26219b66822d57b9fcce7a2504d1fca6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a26219b66822d57b9fcce7a2504d1fca6">SquareInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a26219b66822d57b9fcce7a2504d1fca6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a65aa329dc6abc6cf9dfb6177f42595de">TanhTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a923aa3e41cd11f5eeb7cc973fd8d3c76"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a923aa3e41cd11f5eeb7cc973fd8d3c76">TanhTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a923aa3e41cd11f5eeb7cc973fd8d3c76"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abe9073d08e150e3dd5e156af7ea8faa5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#abe9073d08e150e3dd5e156af7ea8faa5">TanhUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:abe9073d08e150e3dd5e156af7ea8faa5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aacd820bdf2307a2aa667db2899283035"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#aacd820bdf2307a2aa667db2899283035">TanhInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aacd820bdf2307a2aa667db2899283035"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab653abd1ebff85e413b3647d2408f3b1"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:ab653abd1ebff85e413b3647d2408f3b1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#ab653abd1ebff85e413b3647d2408f3b1">EluTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:ab653abd1ebff85e413b3647d2408f3b1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a96ba4985a8fff8c04e6585e866256868"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a96ba4985a8fff8c04e6585e866256868">EluTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a96ba4985a8fff8c04e6585e866256868"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4f95ca2d87f1d36d0a41d6a0cf56151b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a4f95ca2d87f1d36d0a41d6a0cf56151b">EluUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a4f95ca2d87f1d36d0a41d6a0cf56151b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a205500c03971e6ed3aae6e07afdaf145"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a205500c03971e6ed3aae6e07afdaf145">EluInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a205500c03971e6ed3aae6e07afdaf145"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1fcf6512fb0db8090ce19979a9ac6472"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a1fcf6512fb0db8090ce19979a9ac6472"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a1fcf6512fb0db8090ce19979a9ac6472">HardSwishTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a1fcf6512fb0db8090ce19979a9ac6472"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a630fd31472c64fa147a70b9be2d4911f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a630fd31472c64fa147a70b9be2d4911f">HardSwishTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a630fd31472c64fa147a70b9be2d4911f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4cf5b253aee4ecf81d75797802c09604"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a4cf5b253aee4ecf81d75797802c09604">HardSwishUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a4cf5b253aee4ecf81d75797802c09604"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad0ea8320eb816bc3b78ea9a18627d65a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#ad0ea8320eb816bc3b78ea9a18627d65a">HardSwishInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ad0ea8320eb816bc3b78ea9a18627d65a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a0758d9003f13b30d5e29eae6cd89c32b">CompareActivationTestImpl</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f, unsigned int batchSize=5, float qScale=0.0f, int32_t qOffset=0)</td></tr> +<tr class="separator:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af226f71b992ee8076a3880def72b1f3f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#af226f71b992ee8076a3880def72b1f3f">CompareActivationTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f, unsigned int batchSize)</td></tr> +<tr class="separator:af226f71b992ee8076a3880def72b1f3f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:addef260aaa3c7f7f1d08f821b823af33"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#addef260aaa3c7f7f1d08f821b823af33">CompareActivationUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f)</td></tr> +<tr class="separator:addef260aaa3c7f7f1d08f821b823af33"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a55dddf072af585903973b8e3398835dc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_test_impl_8cpp.xhtml#a55dddf072af585903973b8e3398835dc">CompareActivationInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f)</td></tr> +<tr class="separator:a55dddf072af585903973b8e3398835dc"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a8dd4b2ac72e85dcfeb8540b7d5649b47"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8dd4b2ac72e85dcfeb8540b7d5649b47">◆ </a></span>AbsInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> AbsInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00785">785</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a31872d5729b4d7734c1eb0d189a0eece"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a31872d5729b4d7734c1eb0d189a0eece">◆ </a></span>AbsTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> AbsTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00771">771</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="aa8c2d170a4b51447f575183cee9579ab"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa8c2d170a4b51447f575183cee9579ab">◆ </a></span>AbsTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> AbsTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00737">737</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a11baf4886951944fcf149e2a92197e58"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a11baf4886951944fcf149e2a92197e58">◆ </a></span>AbsUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> AbsUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00778">778</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="ae42bb4023d8578a27159c95dd4b33b28"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae42bb4023d8578a27159c95dd4b33b28">◆ </a></span>BoundedReLuInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> BoundedReLuInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00614">614</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="aaa4e43f7b9a9b14145accdc347bc0e18"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaa4e43f7b9a9b14145accdc347bc0e18">◆ </a></span>BoundedReLuTestCommon() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BoundedReLuTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>upperBound</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>lowerBound</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>inputScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>inputOffset</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>outputScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>outputOffset</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>inputData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>outputExpectedData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>inputWidth</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>inputHeight</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>inputChannels</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>inputBatchSize</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00023">23</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(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.xhtml">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.xhtml">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.xhtml#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.xhtml">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.xhtml#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.xhtml#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.xhtml">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.xhtml">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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = upperBound;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = lowerBound;</div><div class="line"><a name="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.xhtml#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.xhtml#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.xhtml#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="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#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.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00259">Tensor.cpp:259</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#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.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6. </div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a2634923ff28734237c27fcc7c009ce9d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2634923ff28734237c27fcc7c009ce9d">◆ </a></span>BoundedReLuTestCommon() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BoundedReLuTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00579">579</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6. </div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0e868e8fa03ce4c4674b007eae5dc1a2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0e868e8fa03ce4c4674b007eae5dc1a2">◆ </a></span>BoundedReLuUint8UpperAndLowerBoundTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> BoundedReLuUint8UpperAndLowerBoundTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00184">184</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00335">armnn::GetInputTensorInfo()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p> +<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 --> +</div> +</div> +<a id="a7aa10bded0d26089e0bc4333ada10064"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7aa10bded0d26089e0bc4333ada10064">◆ </a></span>BoundedReLuUint8UpperBoundOnlyTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> BoundedReLuUint8UpperBoundOnlyTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00153">153</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a418191b7e7caba8173206c0870bc3684"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a418191b7e7caba8173206c0870bc3684">◆ </a></span>BoundedReLuUpperAndLowerBoundTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> BoundedReLuUpperAndLowerBoundTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00091">91</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a359c1f734f9da1d6459e9d878e5612ba"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a359c1f734f9da1d6459e9d878e5612ba">◆ </a></span>BoundedReLuUpperBoundOnlyTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> BoundedReLuUpperBoundOnlyTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00122">122</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a55dddf072af585903973b8e3398835dc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a55dddf072af585903973b8e3398835dc">◆ </a></span>CompareActivationInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t,4> CompareActivationInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> + <td class="paramname"><em>f</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01257">1257</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span> {</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  <span class="keywordflow">return</span> CompareActivationTestImpl<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 0);</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="af226f71b992ee8076a3880def72b1f3f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af226f71b992ee8076a3880def72b1f3f">◆ </a></span>CompareActivationTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,4> CompareActivationTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> + <td class="paramname"><em>f</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>batchSize</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01236">1236</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span> {</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  <span class="keywordflow">return</span> CompareActivationTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  workloadFactory, memoryManager, refWorkloadFactory, f, batchSize);</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0758d9003f13b30d5e29eae6cd89c32b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0758d9003f13b30d5e29eae6cd89c32b">◆ </a></span>CompareActivationTestImpl()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T,4> CompareActivationTestImpl </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> + <td class="paramname"><em>f</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>batchSize</em> = <code>5</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em> = <code>0.0f</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> = <code>0</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01142">1142</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_numeric_cast_8hpp_source.xhtml#l00033">armnn::numeric_cast()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p> +<div class="fragment"><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span> {</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 17;</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 29;</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2;</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span> </div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <span class="keywordtype">float</span> a = 0.234f;</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  <span class="keywordtype">float</span> b = -12.345f;</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span> </div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span> </div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = {batchSize, channels, height, width};</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span> </div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, ArmnnType);</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, ArmnnType);</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span> </div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<T>())</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  {</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  }</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span> </div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <span class="keywordtype">float</span> minVal = -10.f;</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <span class="keywordflow">if</span> (f == <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a>)</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  {</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  minVal = 0.f;</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  }</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> </div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  boost::multi_array<T, 4> input = MakeRandomTensor<T, 4>(inputTensorInfo, 21453, minVal, 10.f);</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span> </div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span> </div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T,4></a> ret(outputTensorInfo);</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="keyword">auto</span> boostArrayExtents = boost::extents</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  [<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><boost::multi_array_types::extent_gen::index>(batchSize)]</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(channels)]</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  [<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><boost::multi_array_types::extent_gen::index>(height)]</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(width)];</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  ret.output.resize(boostArrayExtents);</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  ret.outputExpected.resize(boostArrayExtents);</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span> </div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span> </div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span> </div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span> </div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a> data;</div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = a;</div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = b;</div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = f;</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span> </div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <a class="code" href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a> refData = data;</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get());</div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span> </div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(data, info);</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  BOOST_ASSERT(workload != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a>(refData, refInfo);</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  BOOST_ASSERT(workloadRef != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span> </div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  inputHandle->Allocate();</div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  outputHandle->Allocate();</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  inputHandleRef->Allocate();</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  outputHandleRef->Allocate();</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span> </div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &input[0][0][0][0]);</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandleRef.get(), &input[0][0][0][0]);</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span> </div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  workload->Execute();</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  workloadRef->Execute();</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span> </div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.outputExpected[0][0][0][0], outputHandleRef.get());</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span> </div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#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.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00259">Tensor.cpp:259</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a37fa39012e90d568df7f774cd6d1e956"><div class="ttname"><a href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00033">NumericCast.hpp:33</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#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.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00275">Tensor.cpp:275</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="addef260aaa3c7f7f1d08f821b823af33"></a> +<h2 class="memtitle"><span class="permalink"><a href="#addef260aaa3c7f7f1d08f821b823af33">◆ </a></span>CompareActivationUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t,4> CompareActivationUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> + <td class="paramname"><em>f</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01247">1247</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span> {</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="keywordflow">return</span> CompareActivationTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 50);</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7aaeeaa0a8683fae56caa66849228a87"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7aaeeaa0a8683fae56caa66849228a87">◆ </a></span>CompareBoundedReLuTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> CompareBoundedReLuTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>upperBound</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>lowerBound</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00284">284</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>.</p> +<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.xhtml">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.xhtml">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.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#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.xhtml#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.xhtml#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_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00020">Descriptors.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6. </div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a32a6595835f4cb5e93fec4182ada51bc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a32a6595835f4cb5e93fec4182ada51bc">◆ </a></span>ConstantLinearActivationInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> ConstantLinearActivationInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00383">383</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a52af2639a8f96fbbc86343ea8914033a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a52af2639a8f96fbbc86343ea8914033a">◆ </a></span>ConstantLinearActivationTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> ConstantLinearActivationTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00368">368</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a22562086e72d244fd7cf4156b958c134"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a22562086e72d244fd7cf4156b958c134">◆ </a></span>ConstantLinearActivationTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T,4> ConstantLinearActivationTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em> = <code>0.0f</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> = <code>0</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00307">307</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::Linear</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p> +<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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(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.xhtml">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.xhtml">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.xhtml">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.xhtml">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.xhtml#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.xhtml#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.xhtml#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.xhtml#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.xhtml">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.xhtml#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.xhtml#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.xhtml">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.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#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.xhtml#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.xhtml#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.xhtml#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="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#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.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00259">Tensor.cpp:259</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#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.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00275">Tensor.cpp:275</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a34b322827b0d8ff9f8b3b8fb9410f7d3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a34b322827b0d8ff9f8b3b8fb9410f7d3">◆ </a></span>ConstantLinearActivationUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> ConstantLinearActivationUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00375">375</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a205500c03971e6ed3aae6e07afdaf145"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a205500c03971e6ed3aae6e07afdaf145">◆ </a></span>EluInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> EluInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01070">1070</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> EluTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a96ba4985a8fff8c04e6585e866256868"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a96ba4985a8fff8c04e6585e866256868">◆ </a></span>EluTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> EluTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01056">1056</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> EluTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab653abd1ebff85e413b3647d2408f3b1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab653abd1ebff85e413b3647d2408f3b1">◆ </a></span>EluTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> EluTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01020">1020</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::Elu</a>.</p> +<div class="fragment"><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span> {</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  std::vector<float> inputData = {</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  };</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span> </div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span> </div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a = 0.01f;</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keyword">auto</span> f = [a](<span class="keywordtype">float</span> value)</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>  <span class="keywordflow">return</span> (value >= 0) ? value : a * (expf(value) - 1);</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  };</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</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>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  memoryManager,</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a>,</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  a,</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  0.0f,</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  qScale,</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  qOffset,</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  inputData,</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  qScale,</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  qOffset,</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  outputExpectedData);</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4f95ca2d87f1d36d0a41d6a0cf56151b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4f95ca2d87f1d36d0a41d6a0cf56151b">◆ </a></span>EluUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> EluUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01063">1063</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span> {</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="keywordflow">return</span> EluTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 64);</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad0ea8320eb816bc3b78ea9a18627d65a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad0ea8320eb816bc3b78ea9a18627d65a">◆ </a></span>HardSwishInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> HardSwishInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01133">1133</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span> {</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  <span class="keywordflow">return</span> HardSwishTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a630fd31472c64fa147a70b9be2d4911f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a630fd31472c64fa147a70b9be2d4911f">◆ </a></span>HardSwishTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> HardSwishTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01119">1119</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> {</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <span class="keywordflow">return</span> HardSwishTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1fcf6512fb0db8090ce19979a9ac6472"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1fcf6512fb0db8090ce19979a9ac6472">◆ </a></span>HardSwishTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> HardSwishTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01079">1079</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>.</p> +<div class="fragment"><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span> {</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  std::vector<float> inputData = {</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  };</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <span class="keyword">auto</span> f = [](<span class="keywordtype">float</span> x)</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  {</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <span class="comment">// Break down the calculation to help with verification.</span></div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <span class="comment">// hard_swish(x) = x * relu6(x+3) / 6</span></div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="comment">// relu6(x) = min(max(x,0),6)</span></div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  <span class="keywordtype">float</span> reLu6_step1 = std::max((x + 3),0.0f);</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <span class="keywordtype">float</span> reLu6Complete = std::min(reLu6_step1, 6.0f);</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <span class="keywordtype">float</span> hardSwish_step1 = x * reLu6Complete;</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  <span class="keywordtype">float</span> result = hardSwish_step1 / 6;</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  <span class="keywordflow">return</span> result;</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>  std::vector<float> outputExpectedData(inputData.size());</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</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>  <span class="keywordflow">return</span> SimpleActivationTest<ArmnnType>(workloadFactory,</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  memoryManager,</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a>,</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  0.f,</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  0.f,</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  qScale,</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  qOffset,</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  inputData,</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  qScale,</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  qOffset,</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  outputExpectedData);</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4cf5b253aee4ecf81d75797802c09604"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4cf5b253aee4ecf81d75797802c09604">◆ </a></span>HardSwishUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> HardSwishUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01126">1126</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span> {</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  <span class="keywordflow">return</span> HardSwishTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 64);</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac01b6901c3f2921c998aff77a8362f87"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac01b6901c3f2921c998aff77a8362f87">◆ </a></span>LeakyReLuInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> LeakyReLuInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00729">729</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a0120909fa6b3032270399355f14654de"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0120909fa6b3032270399355f14654de">◆ </a></span>LeakyReLuTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> LeakyReLuTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00715">715</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a6e45714708a6daf8688ef6ca58e54827"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e45714708a6daf8688ef6ca58e54827">◆ </a></span>LeakyReLuTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> LeakyReLuTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00680">680</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::LeakyReLu</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af9293a4d81453abbe8cbdc788c290943"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af9293a4d81453abbe8cbdc788c290943">◆ </a></span>LeakyReLuUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> LeakyReLuUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00722">722</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a20b01cc1552ab2c3abd70166fdd35faf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a20b01cc1552ab2c3abd70166fdd35faf">◆ </a></span>ReLuInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> ReLuInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00555">555</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a58872a37a87790e3a3f91ee254ce304a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a58872a37a87790e3a3f91ee254ce304a">◆ </a></span>ReLuTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> ReLuTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00570">570</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="acf22306b81aa054c64c48730b2786f96"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acf22306b81aa054c64c48730b2786f96">◆ </a></span>ReLuTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ReLuTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00521">521</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa986502e638eba65543c1cbb01467d26"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa986502e638eba65543c1cbb01467d26">◆ </a></span>ReLuUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> ReLuUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00563">563</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="aaeea20fa5e5934ea49b8f764526a2d98"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaeea20fa5e5934ea49b8f764526a2d98">◆ </a></span>SimpleActivationTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> SimpleActivationTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> </td> + <td class="paramname"><em>activationFunction</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>activationParameterA</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>activationParameterB</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>scale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>offset</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< float > & </td> + <td class="paramname"><em>inputData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>outScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>outOffset</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< float > & </td> + <td class="paramname"><em>outputExpectedData</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00392">392</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00037">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00039">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p> +<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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(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.xhtml">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.xhtml">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.xhtml#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.xhtml">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.xhtml#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.xhtml#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.xhtml">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.xhtml">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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#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.xhtml#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.xhtml#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.xhtml#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="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#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.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00259">Tensor.cpp:259</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#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.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6558a4306d758625ab7804e9cb70b058"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6558a4306d758625ab7804e9cb70b058">◆ </a></span>SimpleSigmoidInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> SimpleSigmoidInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00513">513</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="aa87c451f7a773fd4ec9cdf11c20d7a58"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa87c451f7a773fd4ec9cdf11c20d7a58">◆ </a></span>SimpleSigmoidTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> SimpleSigmoidTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00499">499</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a1020322feb8c6fe89ced59fcca8277c4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1020322feb8c6fe89ced59fcca8277c4">◆ </a></span>SimpleSigmoidTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> SimpleSigmoidTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00464">464</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0889979f9ffb67b036c3928c6e94af50"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0889979f9ffb67b036c3928c6e94af50">◆ </a></span>SimpleSigmoidUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> SimpleSigmoidUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00506">506</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a641db2befcd47ac97af966e20b1c4c2c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a641db2befcd47ac97af966e20b1c4c2c">◆ </a></span>SoftReLuInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> SoftReLuInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00672">672</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a8bfdab68fed1467b8720cceb47881236"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8bfdab68fed1467b8720cceb47881236">◆ </a></span>SoftReLuTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> SoftReLuTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00658">658</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a4b43ab0b58fc8d4ad51b1b71c0e35622"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4b43ab0b58fc8d4ad51b1b71c0e35622">◆ </a></span>SoftReLuTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> SoftReLuTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00624">624</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::SoftReLu</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a732229b22cff2a8f96798c38832cab92"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a732229b22cff2a8f96798c38832cab92">◆ </a></span>SoftReLuUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> SoftReLuUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00665">665</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a8b855f5d3e8aab93decfa2bed46fc4cf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8b855f5d3e8aab93decfa2bed46fc4cf">◆ </a></span>SqrtInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> SqrtInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00897">897</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a86f53855f5ab422f4e035b1aa11676f8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a86f53855f5ab422f4e035b1aa11676f8">◆ </a></span>SqrtNNTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 5> SqrtNNTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00792">792</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00035">ActivationDescriptor::m_Function</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p> +<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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(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.xhtml">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.xhtml#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.xhtml">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.xhtml#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.xhtml">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.xhtml#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.xhtml#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.xhtml">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.xhtml">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.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#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.xhtml#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.xhtml#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.xhtml#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="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a4458d75c0db21c6abc941cd93a6a24c5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#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.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#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.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad3928f2c56ed15642ff6306cc6823ebd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad3928f2c56ed15642ff6306cc6823ebd">◆ </a></span>SqrtTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> SqrtTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00883">883</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="aab2458914aa40f83ba027de7a8c07d06"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aab2458914aa40f83ba027de7a8c07d06">◆ </a></span>SqrtTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> SqrtTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00849">849</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6403e38cfee03672c164e3cba9863147"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6403e38cfee03672c164e3cba9863147">◆ </a></span>SqrtUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> SqrtUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00890">890</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a26219b66822d57b9fcce7a2504d1fca6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a26219b66822d57b9fcce7a2504d1fca6">◆ </a></span>SquareInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> SquareInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00953">953</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a6584d436388485a5bd9252430a0af5b6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6584d436388485a5bd9252430a0af5b6">◆ </a></span>SquareTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> SquareTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00939">939</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a26032da34ce1e283ae30d05ea3bbb103"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a26032da34ce1e283ae30d05ea3bbb103">◆ </a></span>SquareTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> SquareTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00905">905</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::Square</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a61fffaf40ad721073b70c350174d0ff3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a61fffaf40ad721073b70c350174d0ff3">◆ </a></span>SquareUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> SquareUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00946">946</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="aacd820bdf2307a2aa667db2899283035"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aacd820bdf2307a2aa667db2899283035">◆ </a></span>TanhInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> TanhInt16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01011">1011</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a923aa3e41cd11f5eeb7cc973fd8d3c76"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a923aa3e41cd11f5eeb7cc973fd8d3c76">◆ </a></span>TanhTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> TanhTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00997">997</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +<a id="a65aa329dc6abc6cf9dfb6177f42595de"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a65aa329dc6abc6cf9dfb6177f42595de">◆ </a></span>TanhTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> TanhTestCommon </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00961">961</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<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.xhtml#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_xhtml_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="abe9073d08e150e3dd5e156af7ea8faa5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abe9073d08e150e3dd5e156af7ea8faa5">◆ </a></span>TanhUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 4> TanhUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01004">1004</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p> +<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 --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_activation_test_impl_8cpp.xhtml">ActivationTestImpl.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |