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100<div class="title">ActivationTestImpl.cpp File Reference</div> </div>
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103<div class="textblock"><code>#include &quot;<a class="el" href="_activation_test_impl_8hpp_source.xhtml">ActivationTestImpl.hpp</a>&quot;</code><br />
104<code>#include &lt;<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_activation_fixture_8hpp_source.xhtml">backendsCommon/test/ActivationFixture.hpp</a>&gt;</code><br />
107<code>#include &lt;<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</code><br />
108<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
109<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>&gt;</code><br />
110<code>#include &lt;boost/multi_array.hpp&gt;</code><br />
111<code>#include &lt;algorithm&gt;</code><br />
112</div>
113<p><a href="_activation_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p>
114<table class="memberdecls">
115<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
116Functions</h2></td></tr>
117<tr class="memitem:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
118<tr class="memitem:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float upperBound, float lowerBound, float inputScale, int32_t inputOffset, float outputScale, int32_t outputOffset, const std::vector&lt; T &gt; &amp;inputData, const std::vector&lt; T &gt; &amp;outputExpectedData, unsigned int inputWidth, unsigned int inputHeight, unsigned int inputChannels, unsigned int inputBatchSize)</td></tr>
119<tr class="separator:aaa4e43f7b9a9b14145accdc347bc0e18"><td class="memSeparator" colspan="2">&#160;</td></tr>
120<tr class="memitem:a418191b7e7caba8173206c0870bc3684"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
121<tr class="separator:a418191b7e7caba8173206c0870bc3684"><td class="memSeparator" colspan="2">&#160;</td></tr>
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123<tr class="separator:a359c1f734f9da1d6459e9d878e5612ba"><td class="memSeparator" colspan="2">&#160;</td></tr>
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125<tr class="separator:a7aa10bded0d26089e0bc4333ada10064"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:a0e868e8fa03ce4c4674b007eae5dc1a2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
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129<tr class="separator:a7aaeeaa0a8683fae56caa66849228a87"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="memitem:a22562086e72d244fd7cf4156b958c134"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
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133<tr class="memitem:a52af2639a8f96fbbc86343ea8914033a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
134<tr class="separator:a52af2639a8f96fbbc86343ea8914033a"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<tr class="memitem:a34b322827b0d8ff9f8b3b8fb9410f7d3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
136<tr class="separator:a34b322827b0d8ff9f8b3b8fb9410f7d3"><td class="memSeparator" colspan="2">&#160;</td></tr>
137<tr class="memitem:a32a6595835f4cb5e93fec4182ada51bc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
138<tr class="separator:a32a6595835f4cb5e93fec4182ada51bc"><td class="memSeparator" colspan="2">&#160;</td></tr>
139<tr class="memitem:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
140<tr class="memitem:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> activationFunction, float activationParameterA, float activationParameterB, float scale, int32_t offset, const std::vector&lt; float &gt; &amp;inputData, float outScale, int32_t outOffset, const std::vector&lt; float &gt; &amp;outputExpectedData)</td></tr>
141<tr class="separator:aaeea20fa5e5934ea49b8f764526a2d98"><td class="memSeparator" colspan="2">&#160;</td></tr>
142<tr class="memitem:a1020322feb8c6fe89ced59fcca8277c4"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
143<tr class="memitem:a1020322feb8c6fe89ced59fcca8277c4"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
144<tr class="separator:a1020322feb8c6fe89ced59fcca8277c4"><td class="memSeparator" colspan="2">&#160;</td></tr>
145<tr class="memitem:aa87c451f7a773fd4ec9cdf11c20d7a58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
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151<tr class="memitem:acf22306b81aa054c64c48730b2786f96"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
152<tr class="memitem:acf22306b81aa054c64c48730b2786f96"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
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155<tr class="separator:a20b01cc1552ab2c3abd70166fdd35faf"><td class="memSeparator" colspan="2">&#160;</td></tr>
156<tr class="memitem:aa986502e638eba65543c1cbb01467d26"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
157<tr class="separator:aa986502e638eba65543c1cbb01467d26"><td class="memSeparator" colspan="2">&#160;</td></tr>
158<tr class="memitem:a58872a37a87790e3a3f91ee254ce304a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
159<tr class="separator:a58872a37a87790e3a3f91ee254ce304a"><td class="memSeparator" colspan="2">&#160;</td></tr>
160<tr class="memitem:a2634923ff28734237c27fcc7c009ce9d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
161<tr class="memitem:a2634923ff28734237c27fcc7c009ce9d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
162<tr class="separator:a2634923ff28734237c27fcc7c009ce9d"><td class="memSeparator" colspan="2">&#160;</td></tr>
163<tr class="memitem:ae42bb4023d8578a27159c95dd4b33b28"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
164<tr class="separator:ae42bb4023d8578a27159c95dd4b33b28"><td class="memSeparator" colspan="2">&#160;</td></tr>
165<tr class="memitem:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
166<tr class="memitem:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
167<tr class="separator:a4b43ab0b58fc8d4ad51b1b71c0e35622"><td class="memSeparator" colspan="2">&#160;</td></tr>
168<tr class="memitem:a8bfdab68fed1467b8720cceb47881236"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
169<tr class="separator:a8bfdab68fed1467b8720cceb47881236"><td class="memSeparator" colspan="2">&#160;</td></tr>
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171<tr class="separator:a732229b22cff2a8f96798c38832cab92"><td class="memSeparator" colspan="2">&#160;</td></tr>
172<tr class="memitem:a641db2befcd47ac97af966e20b1c4c2c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
173<tr class="separator:a641db2befcd47ac97af966e20b1c4c2c"><td class="memSeparator" colspan="2">&#160;</td></tr>
174<tr class="memitem:a6e45714708a6daf8688ef6ca58e54827"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
175<tr class="memitem:a6e45714708a6daf8688ef6ca58e54827"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
176<tr class="separator:a6e45714708a6daf8688ef6ca58e54827"><td class="memSeparator" colspan="2">&#160;</td></tr>
177<tr class="memitem:a0120909fa6b3032270399355f14654de"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
178<tr class="separator:a0120909fa6b3032270399355f14654de"><td class="memSeparator" colspan="2">&#160;</td></tr>
179<tr class="memitem:af9293a4d81453abbe8cbdc788c290943"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
180<tr class="separator:af9293a4d81453abbe8cbdc788c290943"><td class="memSeparator" colspan="2">&#160;</td></tr>
181<tr class="memitem:ac01b6901c3f2921c998aff77a8362f87"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
182<tr class="separator:ac01b6901c3f2921c998aff77a8362f87"><td class="memSeparator" colspan="2">&#160;</td></tr>
183<tr class="memitem:aa8c2d170a4b51447f575183cee9579ab"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
184<tr class="memitem:aa8c2d170a4b51447f575183cee9579ab"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
185<tr class="separator:aa8c2d170a4b51447f575183cee9579ab"><td class="memSeparator" colspan="2">&#160;</td></tr>
186<tr class="memitem:a31872d5729b4d7734c1eb0d189a0eece"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
187<tr class="separator:a31872d5729b4d7734c1eb0d189a0eece"><td class="memSeparator" colspan="2">&#160;</td></tr>
188<tr class="memitem:a11baf4886951944fcf149e2a92197e58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
189<tr class="separator:a11baf4886951944fcf149e2a92197e58"><td class="memSeparator" colspan="2">&#160;</td></tr>
190<tr class="memitem:a8dd4b2ac72e85dcfeb8540b7d5649b47"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
191<tr class="separator:a8dd4b2ac72e85dcfeb8540b7d5649b47"><td class="memSeparator" colspan="2">&#160;</td></tr>
192<tr class="memitem:a86f53855f5ab422f4e035b1aa11676f8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 5 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
193<tr class="separator:a86f53855f5ab422f4e035b1aa11676f8"><td class="memSeparator" colspan="2">&#160;</td></tr>
194<tr class="memitem:aab2458914aa40f83ba027de7a8c07d06"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
195<tr class="memitem:aab2458914aa40f83ba027de7a8c07d06"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
196<tr class="separator:aab2458914aa40f83ba027de7a8c07d06"><td class="memSeparator" colspan="2">&#160;</td></tr>
197<tr class="memitem:ad3928f2c56ed15642ff6306cc6823ebd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
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199<tr class="memitem:a6403e38cfee03672c164e3cba9863147"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
200<tr class="separator:a6403e38cfee03672c164e3cba9863147"><td class="memSeparator" colspan="2">&#160;</td></tr>
201<tr class="memitem:a8b855f5d3e8aab93decfa2bed46fc4cf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
202<tr class="separator:a8b855f5d3e8aab93decfa2bed46fc4cf"><td class="memSeparator" colspan="2">&#160;</td></tr>
203<tr class="memitem:a26032da34ce1e283ae30d05ea3bbb103"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
204<tr class="memitem:a26032da34ce1e283ae30d05ea3bbb103"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
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210<tr class="memitem:a26219b66822d57b9fcce7a2504d1fca6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
211<tr class="separator:a26219b66822d57b9fcce7a2504d1fca6"><td class="memSeparator" colspan="2">&#160;</td></tr>
212<tr class="memitem:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
213<tr class="memitem:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
214<tr class="separator:a65aa329dc6abc6cf9dfb6177f42595de"><td class="memSeparator" colspan="2">&#160;</td></tr>
215<tr class="memitem:a923aa3e41cd11f5eeb7cc973fd8d3c76"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
216<tr class="separator:a923aa3e41cd11f5eeb7cc973fd8d3c76"><td class="memSeparator" colspan="2">&#160;</td></tr>
217<tr class="memitem:abe9073d08e150e3dd5e156af7ea8faa5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
218<tr class="separator:abe9073d08e150e3dd5e156af7ea8faa5"><td class="memSeparator" colspan="2">&#160;</td></tr>
219<tr class="memitem:aacd820bdf2307a2aa667db2899283035"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
220<tr class="separator:aacd820bdf2307a2aa667db2899283035"><td class="memSeparator" colspan="2">&#160;</td></tr>
221<tr class="memitem:ab653abd1ebff85e413b3647d2408f3b1"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
222<tr class="memitem:ab653abd1ebff85e413b3647d2408f3b1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
223<tr class="separator:ab653abd1ebff85e413b3647d2408f3b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
224<tr class="memitem:a96ba4985a8fff8c04e6585e866256868"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
225<tr class="separator:a96ba4985a8fff8c04e6585e866256868"><td class="memSeparator" colspan="2">&#160;</td></tr>
226<tr class="memitem:a4f95ca2d87f1d36d0a41d6a0cf56151b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
227<tr class="separator:a4f95ca2d87f1d36d0a41d6a0cf56151b"><td class="memSeparator" colspan="2">&#160;</td></tr>
228<tr class="memitem:a205500c03971e6ed3aae6e07afdaf145"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
229<tr class="separator:a205500c03971e6ed3aae6e07afdaf145"><td class="memSeparator" colspan="2">&#160;</td></tr>
230<tr class="memitem:a1fcf6512fb0db8090ce19979a9ac6472"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
231<tr class="memitem:a1fcf6512fb0db8090ce19979a9ac6472"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
232<tr class="separator:a1fcf6512fb0db8090ce19979a9ac6472"><td class="memSeparator" colspan="2">&#160;</td></tr>
233<tr class="memitem:a630fd31472c64fa147a70b9be2d4911f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
234<tr class="separator:a630fd31472c64fa147a70b9be2d4911f"><td class="memSeparator" colspan="2">&#160;</td></tr>
235<tr class="memitem:a4cf5b253aee4ecf81d75797802c09604"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
236<tr class="separator:a4cf5b253aee4ecf81d75797802c09604"><td class="memSeparator" colspan="2">&#160;</td></tr>
237<tr class="memitem:ad0ea8320eb816bc3b78ea9a18627d65a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
238<tr class="separator:ad0ea8320eb816bc3b78ea9a18627d65a"><td class="memSeparator" colspan="2">&#160;</td></tr>
239<tr class="memitem:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
240<tr class="memitem:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;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>
241<tr class="separator:a0758d9003f13b30d5e29eae6cd89c32b"><td class="memSeparator" colspan="2">&#160;</td></tr>
242<tr class="memitem:af226f71b992ee8076a3880def72b1f3f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;refWorkloadFactory, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f, unsigned int batchSize)</td></tr>
243<tr class="separator:af226f71b992ee8076a3880def72b1f3f"><td class="memSeparator" colspan="2">&#160;</td></tr>
244<tr class="memitem:addef260aaa3c7f7f1d08f821b823af33"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;refWorkloadFactory, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f)</td></tr>
245<tr class="separator:addef260aaa3c7f7f1d08f821b823af33"><td class="memSeparator" colspan="2">&#160;</td></tr>
246<tr class="memitem:a55dddf072af585903973b8e3398835dc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</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> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;refWorkloadFactory, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> f)</td></tr>
247<tr class="separator:a55dddf072af585903973b8e3398835dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
248</table>
249<h2 class="groupheader">Function Documentation</h2>
250<a id="a8dd4b2ac72e85dcfeb8540b7d5649b47"></a>
251<h2 class="memtitle"><span class="permalink"><a href="#a8dd4b2ac72e85dcfeb8540b7d5649b47">&#9670;&nbsp;</a></span>AbsInt16Test()</h2>
252
253<div class="memitem">
254<div class="memproto">
255 <table class="memname">
256 <tr>
257 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; AbsInt16Test </td>
258 <td>(</td>
259 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
260 <td class="paramname"><em>workloadFactory</em>, </td>
261 </tr>
262 <tr>
263 <td class="paramkey"></td>
264 <td></td>
265 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
266 <td class="paramname"><em>memoryManager</em>&#160;</td>
267 </tr>
268 <tr>
269 <td></td>
270 <td>)</td>
271 <td></td><td></td>
272 </tr>
273 </table>
274</div><div class="memdoc">
275
276<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>
277<div class="fragment"><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160;{</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160; <span class="keywordflow">return</span> AbsTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160;}</div></div><!-- fragment -->
278</div>
279</div>
280<a id="a31872d5729b4d7734c1eb0d189a0eece"></a>
281<h2 class="memtitle"><span class="permalink"><a href="#a31872d5729b4d7734c1eb0d189a0eece">&#9670;&nbsp;</a></span>AbsTest()</h2>
282
283<div class="memitem">
284<div class="memproto">
285 <table class="memname">
286 <tr>
287 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; AbsTest </td>
288 <td>(</td>
289 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
290 <td class="paramname"><em>workloadFactory</em>, </td>
291 </tr>
292 <tr>
293 <td class="paramkey"></td>
294 <td></td>
295 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
296 <td class="paramname"><em>memoryManager</em>&#160;</td>
297 </tr>
298 <tr>
299 <td></td>
300 <td>)</td>
301 <td></td><td></td>
302 </tr>
303 </table>
304</div><div class="memdoc">
305
306<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>
307<div class="fragment"><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160;{</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160; <span class="keywordflow">return</span> AbsTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160;}</div></div><!-- fragment -->
308</div>
309</div>
310<a id="aa8c2d170a4b51447f575183cee9579ab"></a>
311<h2 class="memtitle"><span class="permalink"><a href="#aa8c2d170a4b51447f575183cee9579ab">&#9670;&nbsp;</a></span>AbsTestCommon()</h2>
312
313<div class="memitem">
314<div class="memproto">
315 <table class="memname">
316 <tr>
317 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; AbsTestCommon </td>
318 <td>(</td>
319 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
320 <td class="paramname"><em>workloadFactory</em>, </td>
321 </tr>
322 <tr>
323 <td class="paramkey"></td>
324 <td></td>
325 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
326 <td class="paramname"><em>memoryManager</em>, </td>
327 </tr>
328 <tr>
329 <td class="paramkey"></td>
330 <td></td>
331 <td class="paramtype">float&#160;</td>
332 <td class="paramname"><em>qScale</em>, </td>
333 </tr>
334 <tr>
335 <td class="paramkey"></td>
336 <td></td>
337 <td class="paramtype">int32_t&#160;</td>
338 <td class="paramname"><em>qOffset</em>&#160;</td>
339 </tr>
340 <tr>
341 <td></td>
342 <td>)</td>
343 <td></td><td></td>
344 </tr>
345 </table>
346</div><div class="memdoc">
347
348<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>
349
350<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>.</p>
351<div class="fragment"><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160;{</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160; };</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160;</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; <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>&#160; {</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; <span class="keywordflow">return</span> std::abs(value);</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; };</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160;</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160; memoryManager,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a>,</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160; 0.f,</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; 0.f,</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160; qScale,</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; qOffset,</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160; inputData,</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; qScale,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; qOffset,</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160; outputExpectedData);</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div>
352</div><!-- fragment -->
353</div>
354</div>
355<a id="a11baf4886951944fcf149e2a92197e58"></a>
356<h2 class="memtitle"><span class="permalink"><a href="#a11baf4886951944fcf149e2a92197e58">&#9670;&nbsp;</a></span>AbsUint8Test()</h2>
357
358<div class="memitem">
359<div class="memproto">
360 <table class="memname">
361 <tr>
362 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; AbsUint8Test </td>
363 <td>(</td>
364 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
365 <td class="paramname"><em>workloadFactory</em>, </td>
366 </tr>
367 <tr>
368 <td class="paramkey"></td>
369 <td></td>
370 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
371 <td class="paramname"><em>memoryManager</em>&#160;</td>
372 </tr>
373 <tr>
374 <td></td>
375 <td>)</td>
376 <td></td><td></td>
377 </tr>
378 </table>
379</div><div class="memdoc">
380
381<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>
382<div class="fragment"><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160;{</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; <span class="keywordflow">return</span> AbsTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160;}</div></div><!-- fragment -->
383</div>
384</div>
385<a id="ae42bb4023d8578a27159c95dd4b33b28"></a>
386<h2 class="memtitle"><span class="permalink"><a href="#ae42bb4023d8578a27159c95dd4b33b28">&#9670;&nbsp;</a></span>BoundedReLuInt16Test()</h2>
387
388<div class="memitem">
389<div class="memproto">
390 <table class="memname">
391 <tr>
392 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; BoundedReLuInt16Test </td>
393 <td>(</td>
394 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
395 <td class="paramname"><em>workloadFactory</em>, </td>
396 </tr>
397 <tr>
398 <td class="paramkey"></td>
399 <td></td>
400 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
401 <td class="paramname"><em>memoryManager</em>&#160;</td>
402 </tr>
403 <tr>
404 <td></td>
405 <td>)</td>
406 <td></td><td></td>
407 </tr>
408 </table>
409</div><div class="memdoc">
410
411<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>
412<div class="fragment"><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160;{</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; <span class="keywordflow">return</span> ReLuTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160;}</div></div><!-- fragment -->
413</div>
414</div>
415<a id="aaa4e43f7b9a9b14145accdc347bc0e18"></a>
416<h2 class="memtitle"><span class="permalink"><a href="#aaa4e43f7b9a9b14145accdc347bc0e18">&#9670;&nbsp;</a></span>BoundedReLuTestCommon() <span class="overload">[1/2]</span></h2>
417
418<div class="memitem">
419<div class="memproto">
420 <table class="memname">
421 <tr>
422 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; BoundedReLuTestCommon </td>
423 <td>(</td>
424 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
425 <td class="paramname"><em>workloadFactory</em>, </td>
426 </tr>
427 <tr>
428 <td class="paramkey"></td>
429 <td></td>
430 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
431 <td class="paramname"><em>memoryManager</em>, </td>
432 </tr>
433 <tr>
434 <td class="paramkey"></td>
435 <td></td>
436 <td class="paramtype">float&#160;</td>
437 <td class="paramname"><em>upperBound</em>, </td>
438 </tr>
439 <tr>
440 <td class="paramkey"></td>
441 <td></td>
442 <td class="paramtype">float&#160;</td>
443 <td class="paramname"><em>lowerBound</em>, </td>
444 </tr>
445 <tr>
446 <td class="paramkey"></td>
447 <td></td>
448 <td class="paramtype">float&#160;</td>
449 <td class="paramname"><em>inputScale</em>, </td>
450 </tr>
451 <tr>
452 <td class="paramkey"></td>
453 <td></td>
454 <td class="paramtype">int32_t&#160;</td>
455 <td class="paramname"><em>inputOffset</em>, </td>
456 </tr>
457 <tr>
458 <td class="paramkey"></td>
459 <td></td>
460 <td class="paramtype">float&#160;</td>
461 <td class="paramname"><em>outputScale</em>, </td>
462 </tr>
463 <tr>
464 <td class="paramkey"></td>
465 <td></td>
466 <td class="paramtype">int32_t&#160;</td>
467 <td class="paramname"><em>outputOffset</em>, </td>
468 </tr>
469 <tr>
470 <td class="paramkey"></td>
471 <td></td>
472 <td class="paramtype">const std::vector&lt; T &gt; &amp;&#160;</td>
473 <td class="paramname"><em>inputData</em>, </td>
474 </tr>
475 <tr>
476 <td class="paramkey"></td>
477 <td></td>
478 <td class="paramtype">const std::vector&lt; T &gt; &amp;&#160;</td>
479 <td class="paramname"><em>outputExpectedData</em>, </td>
480 </tr>
481 <tr>
482 <td class="paramkey"></td>
483 <td></td>
484 <td class="paramtype">unsigned int&#160;</td>
485 <td class="paramname"><em>inputWidth</em>, </td>
486 </tr>
487 <tr>
488 <td class="paramkey"></td>
489 <td></td>
490 <td class="paramtype">unsigned int&#160;</td>
491 <td class="paramname"><em>inputHeight</em>, </td>
492 </tr>
493 <tr>
494 <td class="paramkey"></td>
495 <td></td>
496 <td class="paramtype">unsigned int&#160;</td>
497 <td class="paramname"><em>inputChannels</em>, </td>
498 </tr>
499 <tr>
500 <td class="paramkey"></td>
501 <td></td>
502 <td class="paramtype">unsigned int&#160;</td>
503 <td class="paramname"><em>inputBatchSize</em>&#160;</td>
504 </tr>
505 <tr>
506 <td></td>
507 <td>)</td>
508 <td></td><td></td>
509 </tr>
510 </table>
511</div><div class="memdoc">
512
513<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>
514
515<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&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
516<div class="fragment"><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <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>&#160; <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>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <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>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <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>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; 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>&#160; inputTensorInfo.SetQuantizationOffset(inputOffset);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> result(inputTensorInfo);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keyword">auto</span> input = MakeTensor&lt;T, 4&gt;(inputTensorInfo, inputData);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// Setup bounded ReLu.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <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>&#160; <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>&#160; AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; 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>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; result.outputExpected = MakeTensor&lt;T, 4&gt;(outputTensorInfo, outputExpectedData);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;}</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>
517<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 &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
518<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&lt; IWorkload &gt; CreateActivation(const ActivationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div>
519<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>
520<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>
521<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>
522<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 &amp; ReLu6. </div></div>
523<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&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
524<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>
525<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>
526<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>
527<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>
528<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>
529<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>
530<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>
531</div><!-- fragment -->
532</div>
533</div>
534<a id="a2634923ff28734237c27fcc7c009ce9d"></a>
535<h2 class="memtitle"><span class="permalink"><a href="#a2634923ff28734237c27fcc7c009ce9d">&#9670;&nbsp;</a></span>BoundedReLuTestCommon() <span class="overload">[2/2]</span></h2>
536
537<div class="memitem">
538<div class="memproto">
539 <table class="memname">
540 <tr>
541 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; BoundedReLuTestCommon </td>
542 <td>(</td>
543 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
544 <td class="paramname"><em>workloadFactory</em>, </td>
545 </tr>
546 <tr>
547 <td class="paramkey"></td>
548 <td></td>
549 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
550 <td class="paramname"><em>memoryManager</em>, </td>
551 </tr>
552 <tr>
553 <td class="paramkey"></td>
554 <td></td>
555 <td class="paramtype">float&#160;</td>
556 <td class="paramname"><em>qScale</em>, </td>
557 </tr>
558 <tr>
559 <td class="paramkey"></td>
560 <td></td>
561 <td class="paramtype">int32_t&#160;</td>
562 <td class="paramname"><em>qOffset</em>&#160;</td>
563 </tr>
564 <tr>
565 <td></td>
566 <td>)</td>
567 <td></td><td></td>
568 </tr>
569 </table>
570</div><div class="memdoc">
571
572<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00579">579</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p>
573
574<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>.</p>
575<div class="fragment"><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160;{</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; };</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; <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>&#160; <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>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; <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>&#160; {</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; <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>&#160; };</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160;</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; memoryManager,</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>,</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; a,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; b,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; qScale,</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; qOffset,</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; inputData,</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; qScale,</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; qOffset,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; outputExpectedData);</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160;}</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 &amp; ReLu6. </div></div>
576</div><!-- fragment -->
577</div>
578</div>
579<a id="a0e868e8fa03ce4c4674b007eae5dc1a2"></a>
580<h2 class="memtitle"><span class="permalink"><a href="#a0e868e8fa03ce4c4674b007eae5dc1a2">&#9670;&nbsp;</a></span>BoundedReLuUint8UpperAndLowerBoundTest()</h2>
581
582<div class="memitem">
583<div class="memproto">
584 <table class="memname">
585 <tr>
586 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; BoundedReLuUint8UpperAndLowerBoundTest </td>
587 <td>(</td>
588 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
589 <td class="paramname"><em>workloadFactory</em>, </td>
590 </tr>
591 <tr>
592 <td class="paramkey"></td>
593 <td></td>
594 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
595 <td class="paramname"><em>memoryManager</em>&#160;</td>
596 </tr>
597 <tr>
598 <td></td>
599 <td>)</td>
600 <td></td><td></td>
601 </tr>
602 </table>
603</div><div class="memdoc">
604
605<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>
606
607<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&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
608<div class="fragment"><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;{</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <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>&#160; <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>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; std::vector&lt;uint8_t&gt; input = std::vector&lt;uint8_t&gt;{</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 51, 230, 28,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; 251, 8, 92</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; };</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; std::vector&lt;uint8_t&gt; output = std::vector&lt;uint8_t&gt;{</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; 51, 192, 32,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; 192, 32, 92</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; };</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; int32_t inputOffset = 112;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordtype">float</span> inputScale = 0.0125f;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordflow">return</span> BoundedReLuTestCommon&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; workloadFactory, memoryManager, 1.0f, -1.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; inputScale, inputOffset, inputScale, inputOffset, <span class="comment">// Input/output scale &amp; offset same.</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; input, output, inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;}</div></div><!-- fragment -->
609</div>
610</div>
611<a id="a7aa10bded0d26089e0bc4333ada10064"></a>
612<h2 class="memtitle"><span class="permalink"><a href="#a7aa10bded0d26089e0bc4333ada10064">&#9670;&nbsp;</a></span>BoundedReLuUint8UpperBoundOnlyTest()</h2>
613
614<div class="memitem">
615<div class="memproto">
616 <table class="memname">
617 <tr>
618 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; BoundedReLuUint8UpperBoundOnlyTest </td>
619 <td>(</td>
620 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
621 <td class="paramname"><em>workloadFactory</em>, </td>
622 </tr>
623 <tr>
624 <td class="paramkey"></td>
625 <td></td>
626 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
627 <td class="paramname"><em>memoryManager</em>&#160;</td>
628 </tr>
629 <tr>
630 <td></td>
631 <td>)</td>
632 <td></td><td></td>
633 </tr>
634 </table>
635</div><div class="memdoc">
636
637<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>
638<div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;{</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <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>&#160; <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>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; std::vector&lt;uint8_t&gt; input = std::vector&lt;uint8_t&gt;{</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; 51, 124, 28,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; 251, 8, 92</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; };</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; std::vector&lt;uint8_t&gt; output = std::vector&lt;uint8_t&gt;{</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; 0, 122, 0,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; 255, 0, 58</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; };</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordtype">float</span> inputScale = 12.0f / 255.0f;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; int32_t inputOffset = 63;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keywordtype">float</span> outputScale = 6.0f / 255.0f;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; int32_t outputOffset = 0;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keywordflow">return</span> BoundedReLuTestCommon&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; workloadFactory, memoryManager, 6.0f, 0.0f,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; inputScale, inputOffset, outputScale, outputOffset,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; input, output, inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;}</div></div><!-- fragment -->
639</div>
640</div>
641<a id="a418191b7e7caba8173206c0870bc3684"></a>
642<h2 class="memtitle"><span class="permalink"><a href="#a418191b7e7caba8173206c0870bc3684">&#9670;&nbsp;</a></span>BoundedReLuUpperAndLowerBoundTest()</h2>
643
644<div class="memitem">
645<div class="memproto">
646 <table class="memname">
647 <tr>
648 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; BoundedReLuUpperAndLowerBoundTest </td>
649 <td>(</td>
650 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
651 <td class="paramname"><em>workloadFactory</em>, </td>
652 </tr>
653 <tr>
654 <td class="paramkey"></td>
655 <td></td>
656 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
657 <td class="paramname"><em>memoryManager</em>&#160;</td>
658 </tr>
659 <tr>
660 <td></td>
661 <td>)</td>
662 <td></td><td></td>
663 </tr>
664 </table>
665</div><div class="memdoc">
666
667<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>
668<div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;{</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <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>&#160; <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>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; std::vector&lt;float&gt; input = std::vector&lt;float&gt;{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; -2.0f, 0.1f, 0.5f, 1.25f,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; 0.786f, 0.9875f, -1.5f, 0.384f,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; 1.0001f, 3.5f, 7.5f, 0.896f,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; 2.126f, 2.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; 0.999f, 1.2f, 0.89f, 6.1f,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; };</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::vector&lt;float&gt; output = std::vector&lt;float&gt;{</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; -1.0f, 0.1f, 0.5f, 1.0f,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; 0.786f, 0.9875f, -1.0f, 0.384f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; 1.0f, 1.0f, 1.0f, 0.896f,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; 1.0f, 1.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; 0.999f, 1.0f, 0.89f, 1.0f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; };</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordflow">return</span> BoundedReLuTestCommon&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; 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>&#160; inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;}</div></div><!-- fragment -->
669</div>
670</div>
671<a id="a359c1f734f9da1d6459e9d878e5612ba"></a>
672<h2 class="memtitle"><span class="permalink"><a href="#a359c1f734f9da1d6459e9d878e5612ba">&#9670;&nbsp;</a></span>BoundedReLuUpperBoundOnlyTest()</h2>
673
674<div class="memitem">
675<div class="memproto">
676 <table class="memname">
677 <tr>
678 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; BoundedReLuUpperBoundOnlyTest </td>
679 <td>(</td>
680 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
681 <td class="paramname"><em>workloadFactory</em>, </td>
682 </tr>
683 <tr>
684 <td class="paramkey"></td>
685 <td></td>
686 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
687 <td class="paramname"><em>memoryManager</em>&#160;</td>
688 </tr>
689 <tr>
690 <td></td>
691 <td>)</td>
692 <td></td><td></td>
693 </tr>
694 </table>
695</div><div class="memdoc">
696
697<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>
698<div class="fragment"><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;{</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <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>&#160; <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>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; std::vector&lt;float&gt; input = std::vector&lt;float&gt;{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; -1.0f, 0.1f, 0.5f, 6.25f,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; 0.786f, 5.9875f, -0.5f, 0.384f,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; 6.0001f, 3.5f, 7.5f, 0.896f,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; 2.126f, 12.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; 0.999f, 1.2f, 0.89f, 6.1f,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; };</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; std::vector&lt;float&gt; output = std::vector&lt;float&gt;{</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; 0.0f, 0.1f, 0.5f, 6.0f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; 0.786f, 5.9875f, 0.0f, 0.384f,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; 6.0f, 3.5f, 6.0f, 0.896f,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; 2.126f, 6.0f, 0.3f, 0.15f,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; 0.999f, 1.2f, 0.89f, 6.0f,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; };</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">return</span> BoundedReLuTestCommon&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; 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>&#160; inputWidth, inputHeight, inputChannels, inputBatchSize);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;}</div></div><!-- fragment -->
699</div>
700</div>
701<a id="a55dddf072af585903973b8e3398835dc"></a>
702<h2 class="memtitle"><span class="permalink"><a href="#a55dddf072af585903973b8e3398835dc">&#9670;&nbsp;</a></span>CompareActivationInt16Test()</h2>
703
704<div class="memitem">
705<div class="memproto">
706 <table class="memname">
707 <tr>
708 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t,4&gt; CompareActivationInt16Test </td>
709 <td>(</td>
710 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
711 <td class="paramname"><em>workloadFactory</em>, </td>
712 </tr>
713 <tr>
714 <td class="paramkey"></td>
715 <td></td>
716 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
717 <td class="paramname"><em>memoryManager</em>, </td>
718 </tr>
719 <tr>
720 <td class="paramkey"></td>
721 <td></td>
722 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
723 <td class="paramname"><em>refWorkloadFactory</em>, </td>
724 </tr>
725 <tr>
726 <td class="paramkey"></td>
727 <td></td>
728 <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a>&#160;</td>
729 <td class="paramname"><em>f</em>&#160;</td>
730 </tr>
731 <tr>
732 <td></td>
733 <td>)</td>
734 <td></td><td></td>
735 </tr>
736 </table>
737</div><div class="memdoc">
738
739<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>
740<div class="fragment"><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160;{</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160; <span class="keywordflow">return</span> CompareActivationTestImpl&lt;armnn::DataType::QSymmS16&gt;(</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160; workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 0);</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160;}</div></div><!-- fragment -->
741</div>
742</div>
743<a id="af226f71b992ee8076a3880def72b1f3f"></a>
744<h2 class="memtitle"><span class="permalink"><a href="#af226f71b992ee8076a3880def72b1f3f">&#9670;&nbsp;</a></span>CompareActivationTest()</h2>
745
746<div class="memitem">
747<div class="memproto">
748 <table class="memname">
749 <tr>
750 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float,4&gt; CompareActivationTest </td>
751 <td>(</td>
752 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
753 <td class="paramname"><em>workloadFactory</em>, </td>
754 </tr>
755 <tr>
756 <td class="paramkey"></td>
757 <td></td>
758 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
759 <td class="paramname"><em>memoryManager</em>, </td>
760 </tr>
761 <tr>
762 <td class="paramkey"></td>
763 <td></td>
764 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
765 <td class="paramname"><em>refWorkloadFactory</em>, </td>
766 </tr>
767 <tr>
768 <td class="paramkey"></td>
769 <td></td>
770 <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a>&#160;</td>
771 <td class="paramname"><em>f</em>, </td>
772 </tr>
773 <tr>
774 <td class="paramkey"></td>
775 <td></td>
776 <td class="paramtype">unsigned int&#160;</td>
777 <td class="paramname"><em>batchSize</em>&#160;</td>
778 </tr>
779 <tr>
780 <td></td>
781 <td>)</td>
782 <td></td><td></td>
783 </tr>
784 </table>
785</div><div class="memdoc">
786
787<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>
788<div class="fragment"><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160;{</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160; <span class="keywordflow">return</span> CompareActivationTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160; workloadFactory, memoryManager, refWorkloadFactory, f, batchSize);</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160;}</div></div><!-- fragment -->
789</div>
790</div>
791<a id="a0758d9003f13b30d5e29eae6cd89c32b"></a>
792<h2 class="memtitle"><span class="permalink"><a href="#a0758d9003f13b30d5e29eae6cd89c32b">&#9670;&nbsp;</a></span>CompareActivationTestImpl()</h2>
793
794<div class="memitem">
795<div class="memproto">
796 <table class="memname">
797 <tr>
798 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T,4&gt; CompareActivationTestImpl </td>
799 <td>(</td>
800 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
801 <td class="paramname"><em>workloadFactory</em>, </td>
802 </tr>
803 <tr>
804 <td class="paramkey"></td>
805 <td></td>
806 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
807 <td class="paramname"><em>memoryManager</em>, </td>
808 </tr>
809 <tr>
810 <td class="paramkey"></td>
811 <td></td>
812 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
813 <td class="paramname"><em>refWorkloadFactory</em>, </td>
814 </tr>
815 <tr>
816 <td class="paramkey"></td>
817 <td></td>
818 <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a>&#160;</td>
819 <td class="paramname"><em>f</em>, </td>
820 </tr>
821 <tr>
822 <td class="paramkey"></td>
823 <td></td>
824 <td class="paramtype">unsigned int&#160;</td>
825 <td class="paramname"><em>batchSize</em> = <code>5</code>, </td>
826 </tr>
827 <tr>
828 <td class="paramkey"></td>
829 <td></td>
830 <td class="paramtype">float&#160;</td>
831 <td class="paramname"><em>qScale</em> = <code>0.0f</code>, </td>
832 </tr>
833 <tr>
834 <td class="paramkey"></td>
835 <td></td>
836 <td class="paramtype">int32_t&#160;</td>
837 <td class="paramname"><em>qOffset</em> = <code>0</code>&#160;</td>
838 </tr>
839 <tr>
840 <td></td>
841 <td>)</td>
842 <td></td><td></td>
843 </tr>
844 </table>
845</div><div class="memdoc">
846
847<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>
848
849<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&lt; LayerDescriptor &gt;::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>
850<div class="fragment"><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;{</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160; <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>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160; <span class="keywordtype">float</span> a = 0.234f;</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160; <span class="keywordtype">float</span> b = -12.345f;</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160;</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160; <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>&#160;</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160; <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>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160; {</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160; }</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160;</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160; <span class="keywordtype">float</span> minVal = -10.f;</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160; <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>&#160; {</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160; minVal = 0.f;</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160; }</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160;</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160; boost::multi_array&lt;T, 4&gt; input = MakeRandomTensor&lt;T, 4&gt;(inputTensorInfo, 21453, minVal, 10.f);</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160;</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160;</div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T,4&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160; <span class="keyword">auto</span> boostArrayExtents = boost::extents</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160; [<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;boost::multi_array_types::extent_gen::index&gt;(batchSize)]</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160; [boost::numeric_cast&lt;boost::multi_array_types::extent_gen::index&gt;(channels)]</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160; [<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;boost::multi_array_types::extent_gen::index&gt;(height)]</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160; [boost::numeric_cast&lt;boost::multi_array_types::extent_gen::index&gt;(width)];</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160; ret.output.resize(boostArrayExtents);</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160; ret.outputExpected.resize(boostArrayExtents);</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160;</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160;</div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160;</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160;</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160; <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>&#160; <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>&#160; AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>&#160; 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>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>&#160; <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>&#160; <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>&#160; SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get());</div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160; SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160;</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160; BOOST_ASSERT(workload != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160; BOOST_ASSERT(workloadRef != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160;</div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>&#160; inputHandleRef-&gt;Allocate();</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>&#160; outputHandleRef-&gt;Allocate();</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>&#160;</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandleRef.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>&#160;</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>&#160; workloadRef-&gt;Execute();</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160;</div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.outputExpected[0][0][0][0], outputHandleRef.get());</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160;</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160;}</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>
851<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div>
852<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 &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
853<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&lt; IWorkload &gt; CreateActivation(const ActivationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div>
854<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>
855<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>
856<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&lt; std::is_unsigned&lt; Source &gt;::value &amp;&amp;std::is_unsigned&lt; Dest &gt;::value, Dest &gt; 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>
857<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>
858<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&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
859<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>
860<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
861<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>
862<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>
863<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>
864<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>
865<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>
866<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>
867<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>
868</div><!-- fragment -->
869</div>
870</div>
871<a id="addef260aaa3c7f7f1d08f821b823af33"></a>
872<h2 class="memtitle"><span class="permalink"><a href="#addef260aaa3c7f7f1d08f821b823af33">&#9670;&nbsp;</a></span>CompareActivationUint8Test()</h2>
873
874<div class="memitem">
875<div class="memproto">
876 <table class="memname">
877 <tr>
878 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t,4&gt; CompareActivationUint8Test </td>
879 <td>(</td>
880 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
881 <td class="paramname"><em>workloadFactory</em>, </td>
882 </tr>
883 <tr>
884 <td class="paramkey"></td>
885 <td></td>
886 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
887 <td class="paramname"><em>memoryManager</em>, </td>
888 </tr>
889 <tr>
890 <td class="paramkey"></td>
891 <td></td>
892 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
893 <td class="paramname"><em>refWorkloadFactory</em>, </td>
894 </tr>
895 <tr>
896 <td class="paramkey"></td>
897 <td></td>
898 <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a>&#160;</td>
899 <td class="paramname"><em>f</em>&#160;</td>
900 </tr>
901 <tr>
902 <td></td>
903 <td>)</td>
904 <td></td><td></td>
905 </tr>
906 </table>
907</div><div class="memdoc">
908
909<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>
910<div class="fragment"><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160;{</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160; <span class="keywordflow">return</span> CompareActivationTestImpl&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160; workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 50);</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160;}</div></div><!-- fragment -->
911</div>
912</div>
913<a id="a7aaeeaa0a8683fae56caa66849228a87"></a>
914<h2 class="memtitle"><span class="permalink"><a href="#a7aaeeaa0a8683fae56caa66849228a87">&#9670;&nbsp;</a></span>CompareBoundedReLuTest()</h2>
915
916<div class="memitem">
917<div class="memproto">
918 <table class="memname">
919 <tr>
920 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; CompareBoundedReLuTest </td>
921 <td>(</td>
922 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
923 <td class="paramname"><em>workloadFactory</em>, </td>
924 </tr>
925 <tr>
926 <td class="paramkey"></td>
927 <td></td>
928 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
929 <td class="paramname"><em>memoryManager</em>, </td>
930 </tr>
931 <tr>
932 <td class="paramkey"></td>
933 <td></td>
934 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
935 <td class="paramname"><em>refWorkloadFactory</em>, </td>
936 </tr>
937 <tr>
938 <td class="paramkey"></td>
939 <td></td>
940 <td class="paramtype">float&#160;</td>
941 <td class="paramname"><em>upperBound</em>, </td>
942 </tr>
943 <tr>
944 <td class="paramkey"></td>
945 <td></td>
946 <td class="paramtype">float&#160;</td>
947 <td class="paramname"><em>lowerBound</em>&#160;</td>
948 </tr>
949 <tr>
950 <td></td>
951 <td>)</td>
952 <td></td><td></td>
953 </tr>
954 </table>
955</div><div class="memdoc">
956
957<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>
958
959<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&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
960<div class="fragment"><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;{</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</a> result(BoundedReLuRandomInputTestTraits::GetOutputTensorInfo());</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <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>&#160; 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>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; result.output = BoundedReLuRandomInputTest(</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; workloadFactory, memoryManager, 0.0f, upperBound, activationDescriptor);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; result.outputExpected = BoundedReLuRandomInputTest(</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; refWorkloadFactory, <span class="keyword">nullptr</span>, 0.0f, upperBound, activationDescriptor);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;}</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>
961<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 &amp; ReLu6. </div></div>
962<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>
963<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>
964<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>
965<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>
966</div><!-- fragment -->
967</div>
968</div>
969<a id="a32a6595835f4cb5e93fec4182ada51bc"></a>
970<h2 class="memtitle"><span class="permalink"><a href="#a32a6595835f4cb5e93fec4182ada51bc">&#9670;&nbsp;</a></span>ConstantLinearActivationInt16Test()</h2>
971
972<div class="memitem">
973<div class="memproto">
974 <table class="memname">
975 <tr>
976 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; ConstantLinearActivationInt16Test </td>
977 <td>(</td>
978 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
979 <td class="paramname"><em>workloadFactory</em>, </td>
980 </tr>
981 <tr>
982 <td class="paramkey"></td>
983 <td></td>
984 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
985 <td class="paramname"><em>memoryManager</em>&#160;</td>
986 </tr>
987 <tr>
988 <td></td>
989 <td>)</td>
990 <td></td><td></td>
991 </tr>
992 </table>
993</div><div class="memdoc">
994
995<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>
996<div class="fragment"><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;{</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="keywordflow">return</span> ConstantLinearActivationTestCommon&lt;armnn::DataType::QSymmS16&gt;(</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;}</div></div><!-- fragment -->
997</div>
998</div>
999<a id="a52af2639a8f96fbbc86343ea8914033a"></a>
1000<h2 class="memtitle"><span class="permalink"><a href="#a52af2639a8f96fbbc86343ea8914033a">&#9670;&nbsp;</a></span>ConstantLinearActivationTest()</h2>
1001
1002<div class="memitem">
1003<div class="memproto">
1004 <table class="memname">
1005 <tr>
1006 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; ConstantLinearActivationTest </td>
1007 <td>(</td>
1008 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1009 <td class="paramname"><em>workloadFactory</em>, </td>
1010 </tr>
1011 <tr>
1012 <td class="paramkey"></td>
1013 <td></td>
1014 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1015 <td class="paramname"><em>memoryManager</em>&#160;</td>
1016 </tr>
1017 <tr>
1018 <td></td>
1019 <td>)</td>
1020 <td></td><td></td>
1021 </tr>
1022 </table>
1023</div><div class="memdoc">
1024
1025<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>
1026<div class="fragment"><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;{</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <span class="keywordflow">return</span> ConstantLinearActivationTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160;}</div></div><!-- fragment -->
1027</div>
1028</div>
1029<a id="a22562086e72d244fd7cf4156b958c134"></a>
1030<h2 class="memtitle"><span class="permalink"><a href="#a22562086e72d244fd7cf4156b958c134">&#9670;&nbsp;</a></span>ConstantLinearActivationTestCommon()</h2>
1031
1032<div class="memitem">
1033<div class="memproto">
1034 <table class="memname">
1035 <tr>
1036 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T,4&gt; ConstantLinearActivationTestCommon </td>
1037 <td>(</td>
1038 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1039 <td class="paramname"><em>workloadFactory</em>, </td>
1040 </tr>
1041 <tr>
1042 <td class="paramkey"></td>
1043 <td></td>
1044 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1045 <td class="paramname"><em>memoryManager</em>, </td>
1046 </tr>
1047 <tr>
1048 <td class="paramkey"></td>
1049 <td></td>
1050 <td class="paramtype">float&#160;</td>
1051 <td class="paramname"><em>qScale</em> = <code>0.0f</code>, </td>
1052 </tr>
1053 <tr>
1054 <td class="paramkey"></td>
1055 <td></td>
1056 <td class="paramtype">int32_t&#160;</td>
1057 <td class="paramname"><em>qOffset</em> = <code>0</code>&#160;</td>
1058 </tr>
1059 <tr>
1060 <td></td>
1061 <td>)</td>
1062 <td></td><td></td>
1063 </tr>
1064 </table>
1065</div><div class="memdoc">
1066
1067<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>
1068
1069<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&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::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>
1070<div class="fragment"><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160;{</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <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>&#160; <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>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <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>&#160;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <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>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160; }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <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>&#160; <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>&#160; <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>&#160; AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; 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>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; boost::multi_array&lt;T, 4&gt; input = MakeRandomTensor&lt;T, 4&gt;(inputTensorInfo, 7123561);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; <span class="comment">// Ensure output equals input.</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; ret.outputExpected = input;</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;}</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>
1071<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 &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
1072<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&lt; IWorkload &gt; CreateActivation(const ActivationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div>
1073<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>
1074<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>
1075<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>
1076<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&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
1077<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>
1078<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1079<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>
1080<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>
1081<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>
1082<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div></div>
1083<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>
1084<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>
1085<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>
1086<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>
1087</div><!-- fragment -->
1088</div>
1089</div>
1090<a id="a34b322827b0d8ff9f8b3b8fb9410f7d3"></a>
1091<h2 class="memtitle"><span class="permalink"><a href="#a34b322827b0d8ff9f8b3b8fb9410f7d3">&#9670;&nbsp;</a></span>ConstantLinearActivationUint8Test()</h2>
1092
1093<div class="memitem">
1094<div class="memproto">
1095 <table class="memname">
1096 <tr>
1097 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; ConstantLinearActivationUint8Test </td>
1098 <td>(</td>
1099 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1100 <td class="paramname"><em>workloadFactory</em>, </td>
1101 </tr>
1102 <tr>
1103 <td class="paramkey"></td>
1104 <td></td>
1105 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1106 <td class="paramname"><em>memoryManager</em>&#160;</td>
1107 </tr>
1108 <tr>
1109 <td></td>
1110 <td>)</td>
1111 <td></td><td></td>
1112 </tr>
1113 </table>
1114</div><div class="memdoc">
1115
1116<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>
1117<div class="fragment"><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;{</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <span class="keywordflow">return</span> ConstantLinearActivationTestCommon&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; workloadFactory, memoryManager, 4.0f, 3);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;}</div></div><!-- fragment -->
1118</div>
1119</div>
1120<a id="a205500c03971e6ed3aae6e07afdaf145"></a>
1121<h2 class="memtitle"><span class="permalink"><a href="#a205500c03971e6ed3aae6e07afdaf145">&#9670;&nbsp;</a></span>EluInt16Test()</h2>
1122
1123<div class="memitem">
1124<div class="memproto">
1125 <table class="memname">
1126 <tr>
1127 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; EluInt16Test </td>
1128 <td>(</td>
1129 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1130 <td class="paramname"><em>workloadFactory</em>, </td>
1131 </tr>
1132 <tr>
1133 <td class="paramkey"></td>
1134 <td></td>
1135 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1136 <td class="paramname"><em>memoryManager</em>&#160;</td>
1137 </tr>
1138 <tr>
1139 <td></td>
1140 <td>)</td>
1141 <td></td><td></td>
1142 </tr>
1143 </table>
1144</div><div class="memdoc">
1145
1146<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>
1147<div class="fragment"><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;{</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160; <span class="keywordflow">return</span> EluTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160;}</div></div><!-- fragment -->
1148</div>
1149</div>
1150<a id="a96ba4985a8fff8c04e6585e866256868"></a>
1151<h2 class="memtitle"><span class="permalink"><a href="#a96ba4985a8fff8c04e6585e866256868">&#9670;&nbsp;</a></span>EluTest()</h2>
1152
1153<div class="memitem">
1154<div class="memproto">
1155 <table class="memname">
1156 <tr>
1157 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; EluTest </td>
1158 <td>(</td>
1159 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1160 <td class="paramname"><em>workloadFactory</em>, </td>
1161 </tr>
1162 <tr>
1163 <td class="paramkey"></td>
1164 <td></td>
1165 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1166 <td class="paramname"><em>memoryManager</em>&#160;</td>
1167 </tr>
1168 <tr>
1169 <td></td>
1170 <td>)</td>
1171 <td></td><td></td>
1172 </tr>
1173 </table>
1174</div><div class="memdoc">
1175
1176<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>
1177<div class="fragment"><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160;{</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; <span class="keywordflow">return</span> EluTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;}</div></div><!-- fragment -->
1178</div>
1179</div>
1180<a id="ab653abd1ebff85e413b3647d2408f3b1"></a>
1181<h2 class="memtitle"><span class="permalink"><a href="#ab653abd1ebff85e413b3647d2408f3b1">&#9670;&nbsp;</a></span>EluTestCommon()</h2>
1182
1183<div class="memitem">
1184<div class="memproto">
1185 <table class="memname">
1186 <tr>
1187 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; EluTestCommon </td>
1188 <td>(</td>
1189 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1190 <td class="paramname"><em>workloadFactory</em>, </td>
1191 </tr>
1192 <tr>
1193 <td class="paramkey"></td>
1194 <td></td>
1195 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1196 <td class="paramname"><em>memoryManager</em>, </td>
1197 </tr>
1198 <tr>
1199 <td class="paramkey"></td>
1200 <td></td>
1201 <td class="paramtype">float&#160;</td>
1202 <td class="paramname"><em>qScale</em>, </td>
1203 </tr>
1204 <tr>
1205 <td class="paramkey"></td>
1206 <td></td>
1207 <td class="paramtype">int32_t&#160;</td>
1208 <td class="paramname"><em>qOffset</em>&#160;</td>
1209 </tr>
1210 <tr>
1211 <td></td>
1212 <td>)</td>
1213 <td></td><td></td>
1214 </tr>
1215 </table>
1216</div><div class="memdoc">
1217
1218<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>
1219
1220<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::Elu</a>.</p>
1221<div class="fragment"><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;{</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160; };</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160; <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>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160; <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>&#160; {</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160; <span class="keywordflow">return</span> (value &gt;= 0) ? value : a * (expf(value) - 1);</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; };</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160; memoryManager,</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a>,</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160; a,</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160; 0.0f,</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160; qScale,</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160; qOffset,</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160; inputData,</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160; qScale,</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; qOffset,</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160; outputExpectedData);</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div></div>
1222</div><!-- fragment -->
1223</div>
1224</div>
1225<a id="a4f95ca2d87f1d36d0a41d6a0cf56151b"></a>
1226<h2 class="memtitle"><span class="permalink"><a href="#a4f95ca2d87f1d36d0a41d6a0cf56151b">&#9670;&nbsp;</a></span>EluUint8Test()</h2>
1227
1228<div class="memitem">
1229<div class="memproto">
1230 <table class="memname">
1231 <tr>
1232 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; EluUint8Test </td>
1233 <td>(</td>
1234 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1235 <td class="paramname"><em>workloadFactory</em>, </td>
1236 </tr>
1237 <tr>
1238 <td class="paramkey"></td>
1239 <td></td>
1240 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1241 <td class="paramname"><em>memoryManager</em>&#160;</td>
1242 </tr>
1243 <tr>
1244 <td></td>
1245 <td>)</td>
1246 <td></td><td></td>
1247 </tr>
1248 </table>
1249</div><div class="memdoc">
1250
1251<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>
1252<div class="fragment"><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160;{</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160; <span class="keywordflow">return</span> EluTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.1f, 64);</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160;}</div></div><!-- fragment -->
1253</div>
1254</div>
1255<a id="ad0ea8320eb816bc3b78ea9a18627d65a"></a>
1256<h2 class="memtitle"><span class="permalink"><a href="#ad0ea8320eb816bc3b78ea9a18627d65a">&#9670;&nbsp;</a></span>HardSwishInt16Test()</h2>
1257
1258<div class="memitem">
1259<div class="memproto">
1260 <table class="memname">
1261 <tr>
1262 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; HardSwishInt16Test </td>
1263 <td>(</td>
1264 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1265 <td class="paramname"><em>workloadFactory</em>, </td>
1266 </tr>
1267 <tr>
1268 <td class="paramkey"></td>
1269 <td></td>
1270 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1271 <td class="paramname"><em>memoryManager</em>&#160;</td>
1272 </tr>
1273 <tr>
1274 <td></td>
1275 <td>)</td>
1276 <td></td><td></td>
1277 </tr>
1278 </table>
1279</div><div class="memdoc">
1280
1281<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>
1282<div class="fragment"><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160;{</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160; <span class="keywordflow">return</span> HardSwishTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;}</div></div><!-- fragment -->
1283</div>
1284</div>
1285<a id="a630fd31472c64fa147a70b9be2d4911f"></a>
1286<h2 class="memtitle"><span class="permalink"><a href="#a630fd31472c64fa147a70b9be2d4911f">&#9670;&nbsp;</a></span>HardSwishTest()</h2>
1287
1288<div class="memitem">
1289<div class="memproto">
1290 <table class="memname">
1291 <tr>
1292 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; HardSwishTest </td>
1293 <td>(</td>
1294 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1295 <td class="paramname"><em>workloadFactory</em>, </td>
1296 </tr>
1297 <tr>
1298 <td class="paramkey"></td>
1299 <td></td>
1300 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1301 <td class="paramname"><em>memoryManager</em>&#160;</td>
1302 </tr>
1303 <tr>
1304 <td></td>
1305 <td>)</td>
1306 <td></td><td></td>
1307 </tr>
1308 </table>
1309</div><div class="memdoc">
1310
1311<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>
1312<div class="fragment"><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160;{</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160; <span class="keywordflow">return</span> HardSwishTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;}</div></div><!-- fragment -->
1313</div>
1314</div>
1315<a id="a1fcf6512fb0db8090ce19979a9ac6472"></a>
1316<h2 class="memtitle"><span class="permalink"><a href="#a1fcf6512fb0db8090ce19979a9ac6472">&#9670;&nbsp;</a></span>HardSwishTestCommon()</h2>
1317
1318<div class="memitem">
1319<div class="memproto">
1320 <table class="memname">
1321 <tr>
1322 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; HardSwishTestCommon </td>
1323 <td>(</td>
1324 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1325 <td class="paramname"><em>workloadFactory</em>, </td>
1326 </tr>
1327 <tr>
1328 <td class="paramkey"></td>
1329 <td></td>
1330 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1331 <td class="paramname"><em>memoryManager</em>, </td>
1332 </tr>
1333 <tr>
1334 <td class="paramkey"></td>
1335 <td></td>
1336 <td class="paramtype">float&#160;</td>
1337 <td class="paramname"><em>qScale</em>, </td>
1338 </tr>
1339 <tr>
1340 <td class="paramkey"></td>
1341 <td></td>
1342 <td class="paramtype">int32_t&#160;</td>
1343 <td class="paramname"><em>qOffset</em>&#160;</td>
1344 </tr>
1345 <tr>
1346 <td></td>
1347 <td>)</td>
1348 <td></td><td></td>
1349 </tr>
1350 </table>
1351</div><div class="memdoc">
1352
1353<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>
1354
1355<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>.</p>
1356<div class="fragment"><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;{</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160; };</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160; <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>&#160; {</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160; <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>&#160; <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>&#160; <span class="comment">// relu6(x) = min(max(x,0),6)</span></div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160; <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>&#160; <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>&#160; <span class="keywordtype">float</span> hardSwish_step1 = x * reLu6Complete;</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160; <span class="keywordtype">float</span> result = hardSwish_step1 / 6;</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160; };</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160;</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160; memoryManager,</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a>,</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160; 0.f,</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160; 0.f,</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160; qScale,</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160; qOffset,</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160; inputData,</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160; qScale,</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160; qOffset,</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160; outputExpectedData);</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div></div>
1357</div><!-- fragment -->
1358</div>
1359</div>
1360<a id="a4cf5b253aee4ecf81d75797802c09604"></a>
1361<h2 class="memtitle"><span class="permalink"><a href="#a4cf5b253aee4ecf81d75797802c09604">&#9670;&nbsp;</a></span>HardSwishUint8Test()</h2>
1362
1363<div class="memitem">
1364<div class="memproto">
1365 <table class="memname">
1366 <tr>
1367 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; HardSwishUint8Test </td>
1368 <td>(</td>
1369 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1370 <td class="paramname"><em>workloadFactory</em>, </td>
1371 </tr>
1372 <tr>
1373 <td class="paramkey"></td>
1374 <td></td>
1375 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1376 <td class="paramname"><em>memoryManager</em>&#160;</td>
1377 </tr>
1378 <tr>
1379 <td></td>
1380 <td>)</td>
1381 <td></td><td></td>
1382 </tr>
1383 </table>
1384</div><div class="memdoc">
1385
1386<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>
1387<div class="fragment"><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160;{</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160; <span class="keywordflow">return</span> HardSwishTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.1f, 64);</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160;}</div></div><!-- fragment -->
1388</div>
1389</div>
1390<a id="ac01b6901c3f2921c998aff77a8362f87"></a>
1391<h2 class="memtitle"><span class="permalink"><a href="#ac01b6901c3f2921c998aff77a8362f87">&#9670;&nbsp;</a></span>LeakyReLuInt16Test()</h2>
1392
1393<div class="memitem">
1394<div class="memproto">
1395 <table class="memname">
1396 <tr>
1397 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; LeakyReLuInt16Test </td>
1398 <td>(</td>
1399 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1400 <td class="paramname"><em>workloadFactory</em>, </td>
1401 </tr>
1402 <tr>
1403 <td class="paramkey"></td>
1404 <td></td>
1405 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1406 <td class="paramname"><em>memoryManager</em>&#160;</td>
1407 </tr>
1408 <tr>
1409 <td></td>
1410 <td>)</td>
1411 <td></td><td></td>
1412 </tr>
1413 </table>
1414</div><div class="memdoc">
1415
1416<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>
1417<div class="fragment"><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160;{</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>&#160; <span class="keywordflow">return</span> LeakyReLuTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160;}</div></div><!-- fragment -->
1418</div>
1419</div>
1420<a id="a0120909fa6b3032270399355f14654de"></a>
1421<h2 class="memtitle"><span class="permalink"><a href="#a0120909fa6b3032270399355f14654de">&#9670;&nbsp;</a></span>LeakyReLuTest()</h2>
1422
1423<div class="memitem">
1424<div class="memproto">
1425 <table class="memname">
1426 <tr>
1427 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; LeakyReLuTest </td>
1428 <td>(</td>
1429 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1430 <td class="paramname"><em>workloadFactory</em>, </td>
1431 </tr>
1432 <tr>
1433 <td class="paramkey"></td>
1434 <td></td>
1435 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1436 <td class="paramname"><em>memoryManager</em>&#160;</td>
1437 </tr>
1438 <tr>
1439 <td></td>
1440 <td>)</td>
1441 <td></td><td></td>
1442 </tr>
1443 </table>
1444</div><div class="memdoc">
1445
1446<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>
1447<div class="fragment"><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160;{</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160; <span class="keywordflow">return</span> LeakyReLuTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;}</div></div><!-- fragment -->
1448</div>
1449</div>
1450<a id="a6e45714708a6daf8688ef6ca58e54827"></a>
1451<h2 class="memtitle"><span class="permalink"><a href="#a6e45714708a6daf8688ef6ca58e54827">&#9670;&nbsp;</a></span>LeakyReLuTestCommon()</h2>
1452
1453<div class="memitem">
1454<div class="memproto">
1455 <table class="memname">
1456 <tr>
1457 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; LeakyReLuTestCommon </td>
1458 <td>(</td>
1459 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1460 <td class="paramname"><em>workloadFactory</em>, </td>
1461 </tr>
1462 <tr>
1463 <td class="paramkey"></td>
1464 <td></td>
1465 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1466 <td class="paramname"><em>memoryManager</em>, </td>
1467 </tr>
1468 <tr>
1469 <td class="paramkey"></td>
1470 <td></td>
1471 <td class="paramtype">float&#160;</td>
1472 <td class="paramname"><em>qScale</em>, </td>
1473 </tr>
1474 <tr>
1475 <td class="paramkey"></td>
1476 <td></td>
1477 <td class="paramtype">int32_t&#160;</td>
1478 <td class="paramname"><em>qOffset</em>&#160;</td>
1479 </tr>
1480 <tr>
1481 <td></td>
1482 <td>)</td>
1483 <td></td><td></td>
1484 </tr>
1485 </table>
1486</div><div class="memdoc">
1487
1488<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>
1489
1490<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::LeakyReLu</a>.</p>
1491<div class="fragment"><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160;{</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; };</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160;</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; <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>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; <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>&#160; {</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; <span class="keywordflow">return</span> value &gt; 0.0f ? value : (value * a);</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; };</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160;</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; memoryManager,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a>,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; a,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; 0.f,</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; qScale,</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; qOffset,</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; inputData,</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; qScale,</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; qOffset,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160; outputExpectedData);</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div></div>
1492</div><!-- fragment -->
1493</div>
1494</div>
1495<a id="af9293a4d81453abbe8cbdc788c290943"></a>
1496<h2 class="memtitle"><span class="permalink"><a href="#af9293a4d81453abbe8cbdc788c290943">&#9670;&nbsp;</a></span>LeakyReLuUint8Test()</h2>
1497
1498<div class="memitem">
1499<div class="memproto">
1500 <table class="memname">
1501 <tr>
1502 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; LeakyReLuUint8Test </td>
1503 <td>(</td>
1504 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1505 <td class="paramname"><em>workloadFactory</em>, </td>
1506 </tr>
1507 <tr>
1508 <td class="paramkey"></td>
1509 <td></td>
1510 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1511 <td class="paramname"><em>memoryManager</em>&#160;</td>
1512 </tr>
1513 <tr>
1514 <td></td>
1515 <td>)</td>
1516 <td></td><td></td>
1517 </tr>
1518 </table>
1519</div><div class="memdoc">
1520
1521<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>
1522<div class="fragment"><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160;{</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160; <span class="keywordflow">return</span> LeakyReLuTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160;}</div></div><!-- fragment -->
1523</div>
1524</div>
1525<a id="a20b01cc1552ab2c3abd70166fdd35faf"></a>
1526<h2 class="memtitle"><span class="permalink"><a href="#a20b01cc1552ab2c3abd70166fdd35faf">&#9670;&nbsp;</a></span>ReLuInt16Test()</h2>
1527
1528<div class="memitem">
1529<div class="memproto">
1530 <table class="memname">
1531 <tr>
1532 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; ReLuInt16Test </td>
1533 <td>(</td>
1534 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1535 <td class="paramname"><em>workloadFactory</em>, </td>
1536 </tr>
1537 <tr>
1538 <td class="paramkey"></td>
1539 <td></td>
1540 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1541 <td class="paramname"><em>memoryManager</em>&#160;</td>
1542 </tr>
1543 <tr>
1544 <td></td>
1545 <td>)</td>
1546 <td></td><td></td>
1547 </tr>
1548 </table>
1549</div><div class="memdoc">
1550
1551<p class="definition">Definition at line <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00555">555</a> of file <a class="el" href="_activation_test_impl_8cpp_source.xhtml">ActivationTestImpl.cpp</a>.</p>
1552<div class="fragment"><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160;{</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; <span class="keywordflow">return</span> ReLuTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160;}</div></div><!-- fragment -->
1553</div>
1554</div>
1555<a id="a58872a37a87790e3a3f91ee254ce304a"></a>
1556<h2 class="memtitle"><span class="permalink"><a href="#a58872a37a87790e3a3f91ee254ce304a">&#9670;&nbsp;</a></span>ReLuTest()</h2>
1557
1558<div class="memitem">
1559<div class="memproto">
1560 <table class="memname">
1561 <tr>
1562 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; ReLuTest </td>
1563 <td>(</td>
1564 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1565 <td class="paramname"><em>workloadFactory</em>, </td>
1566 </tr>
1567 <tr>
1568 <td class="paramkey"></td>
1569 <td></td>
1570 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1571 <td class="paramname"><em>memoryManager</em>&#160;</td>
1572 </tr>
1573 <tr>
1574 <td></td>
1575 <td>)</td>
1576 <td></td><td></td>
1577 </tr>
1578 </table>
1579</div><div class="memdoc">
1580
1581<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>
1582<div class="fragment"><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160;{</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; <span class="keywordflow">return</span> ReLuTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160;}</div></div><!-- fragment -->
1583</div>
1584</div>
1585<a id="acf22306b81aa054c64c48730b2786f96"></a>
1586<h2 class="memtitle"><span class="permalink"><a href="#acf22306b81aa054c64c48730b2786f96">&#9670;&nbsp;</a></span>ReLuTestCommon()</h2>
1587
1588<div class="memitem">
1589<div class="memproto">
1590 <table class="memname">
1591 <tr>
1592 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; ReLuTestCommon </td>
1593 <td>(</td>
1594 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1595 <td class="paramname"><em>workloadFactory</em>, </td>
1596 </tr>
1597 <tr>
1598 <td class="paramkey"></td>
1599 <td></td>
1600 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1601 <td class="paramname"><em>memoryManager</em>, </td>
1602 </tr>
1603 <tr>
1604 <td class="paramkey"></td>
1605 <td></td>
1606 <td class="paramtype">float&#160;</td>
1607 <td class="paramname"><em>qScale</em>, </td>
1608 </tr>
1609 <tr>
1610 <td class="paramkey"></td>
1611 <td></td>
1612 <td class="paramtype">int32_t&#160;</td>
1613 <td class="paramname"><em>qOffset</em>&#160;</td>
1614 </tr>
1615 <tr>
1616 <td></td>
1617 <td>)</td>
1618 <td></td><td></td>
1619 </tr>
1620 </table>
1621</div><div class="memdoc">
1622
1623<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>
1624
1625<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p>
1626<div class="fragment"><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160;{</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; };</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; <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>&#160; {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; <span class="keywordflow">return</span> std::fmax(0.0f, value);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; };</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160;</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; memoryManager,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; 0.f,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; 0.f,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; qScale,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; qOffset,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; inputData,</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; qScale,</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; qOffset,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; outputExpectedData);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div>
1627</div><!-- fragment -->
1628</div>
1629</div>
1630<a id="aa986502e638eba65543c1cbb01467d26"></a>
1631<h2 class="memtitle"><span class="permalink"><a href="#aa986502e638eba65543c1cbb01467d26">&#9670;&nbsp;</a></span>ReLuUint8Test()</h2>
1632
1633<div class="memitem">
1634<div class="memproto">
1635 <table class="memname">
1636 <tr>
1637 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; ReLuUint8Test </td>
1638 <td>(</td>
1639 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1640 <td class="paramname"><em>workloadFactory</em>, </td>
1641 </tr>
1642 <tr>
1643 <td class="paramkey"></td>
1644 <td></td>
1645 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1646 <td class="paramname"><em>memoryManager</em>&#160;</td>
1647 </tr>
1648 <tr>
1649 <td></td>
1650 <td>)</td>
1651 <td></td><td></td>
1652 </tr>
1653 </table>
1654</div><div class="memdoc">
1655
1656<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>
1657<div class="fragment"><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160;{</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; <span class="keywordflow">return</span> ReLuTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;}</div></div><!-- fragment -->
1658</div>
1659</div>
1660<a id="aaeea20fa5e5934ea49b8f764526a2d98"></a>
1661<h2 class="memtitle"><span class="permalink"><a href="#aaeea20fa5e5934ea49b8f764526a2d98">&#9670;&nbsp;</a></span>SimpleActivationTest()</h2>
1662
1663<div class="memitem">
1664<div class="memproto">
1665 <table class="memname">
1666 <tr>
1667 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimpleActivationTest </td>
1668 <td>(</td>
1669 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1670 <td class="paramname"><em>workloadFactory</em>, </td>
1671 </tr>
1672 <tr>
1673 <td class="paramkey"></td>
1674 <td></td>
1675 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1676 <td class="paramname"><em>memoryManager</em>, </td>
1677 </tr>
1678 <tr>
1679 <td class="paramkey"></td>
1680 <td></td>
1681 <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a>&#160;</td>
1682 <td class="paramname"><em>activationFunction</em>, </td>
1683 </tr>
1684 <tr>
1685 <td class="paramkey"></td>
1686 <td></td>
1687 <td class="paramtype">float&#160;</td>
1688 <td class="paramname"><em>activationParameterA</em>, </td>
1689 </tr>
1690 <tr>
1691 <td class="paramkey"></td>
1692 <td></td>
1693 <td class="paramtype">float&#160;</td>
1694 <td class="paramname"><em>activationParameterB</em>, </td>
1695 </tr>
1696 <tr>
1697 <td class="paramkey"></td>
1698 <td></td>
1699 <td class="paramtype">float&#160;</td>
1700 <td class="paramname"><em>scale</em>, </td>
1701 </tr>
1702 <tr>
1703 <td class="paramkey"></td>
1704 <td></td>
1705 <td class="paramtype">int32_t&#160;</td>
1706 <td class="paramname"><em>offset</em>, </td>
1707 </tr>
1708 <tr>
1709 <td class="paramkey"></td>
1710 <td></td>
1711 <td class="paramtype">const std::vector&lt; float &gt; &amp;&#160;</td>
1712 <td class="paramname"><em>inputData</em>, </td>
1713 </tr>
1714 <tr>
1715 <td class="paramkey"></td>
1716 <td></td>
1717 <td class="paramtype">float&#160;</td>
1718 <td class="paramname"><em>outScale</em>, </td>
1719 </tr>
1720 <tr>
1721 <td class="paramkey"></td>
1722 <td></td>
1723 <td class="paramtype">int32_t&#160;</td>
1724 <td class="paramname"><em>outOffset</em>, </td>
1725 </tr>
1726 <tr>
1727 <td class="paramkey"></td>
1728 <td></td>
1729 <td class="paramtype">const std::vector&lt; float &gt; &amp;&#160;</td>
1730 <td class="paramname"><em>outputExpectedData</em>&#160;</td>
1731 </tr>
1732 <tr>
1733 <td></td>
1734 <td>)</td>
1735 <td></td><td></td>
1736 </tr>
1737 </table>
1738</div><div class="memdoc">
1739
1740<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>
1741
1742<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&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
1743<div class="fragment"><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;{</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; <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>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; 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>&#160; inputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; outputTensorInfo.SetQuantizationScale(outScale);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; outputTensorInfo.SetQuantizationOffset(outOffset);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160;</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> result(inputTensorInfo);</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; <span class="keyword">auto</span> input = MakeTensor&lt;T, 4&gt;(inputTensorInfo, armnnUtils::QuantizedVector&lt;T&gt;(inputData, scale, offset));</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <span class="comment">// Setup bounded ReLu.</span></div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <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>&#160; <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>&#160; AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; 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>&#160; 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>&#160; 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>&#160;</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160;</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160;</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; result.outputExpected =</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; MakeTensor&lt;T, 4&gt;(outputTensorInfo, armnnUtils::QuantizedVector&lt;T&gt;(outputExpectedData, outScale, outOffset));</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160;}</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>
1744<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 &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
1745<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&lt; IWorkload &gt; CreateActivation(const ActivationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div>
1746<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>
1747<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>
1748<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>
1749<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&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
1750<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>
1751<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>
1752<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>
1753<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>
1754<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>
1755<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>
1756<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>
1757</div><!-- fragment -->
1758</div>
1759</div>
1760<a id="a6558a4306d758625ab7804e9cb70b058"></a>
1761<h2 class="memtitle"><span class="permalink"><a href="#a6558a4306d758625ab7804e9cb70b058">&#9670;&nbsp;</a></span>SimpleSigmoidInt16Test()</h2>
1762
1763<div class="memitem">
1764<div class="memproto">
1765 <table class="memname">
1766 <tr>
1767 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; SimpleSigmoidInt16Test </td>
1768 <td>(</td>
1769 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1770 <td class="paramname"><em>workloadFactory</em>, </td>
1771 </tr>
1772 <tr>
1773 <td class="paramkey"></td>
1774 <td></td>
1775 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1776 <td class="paramname"><em>memoryManager</em>&#160;</td>
1777 </tr>
1778 <tr>
1779 <td></td>
1780 <td>)</td>
1781 <td></td><td></td>
1782 </tr>
1783 </table>
1784</div><div class="memdoc">
1785
1786<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>
1787<div class="fragment"><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160;{</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; <span class="keywordflow">return</span> SimpleSigmoidTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160;}</div></div><!-- fragment -->
1788</div>
1789</div>
1790<a id="aa87c451f7a773fd4ec9cdf11c20d7a58"></a>
1791<h2 class="memtitle"><span class="permalink"><a href="#aa87c451f7a773fd4ec9cdf11c20d7a58">&#9670;&nbsp;</a></span>SimpleSigmoidTest()</h2>
1792
1793<div class="memitem">
1794<div class="memproto">
1795 <table class="memname">
1796 <tr>
1797 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; SimpleSigmoidTest </td>
1798 <td>(</td>
1799 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1800 <td class="paramname"><em>workloadFactory</em>, </td>
1801 </tr>
1802 <tr>
1803 <td class="paramkey"></td>
1804 <td></td>
1805 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1806 <td class="paramname"><em>memoryManager</em>&#160;</td>
1807 </tr>
1808 <tr>
1809 <td></td>
1810 <td>)</td>
1811 <td></td><td></td>
1812 </tr>
1813 </table>
1814</div><div class="memdoc">
1815
1816<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>
1817<div class="fragment"><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160;{</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <span class="keywordflow">return</span> SimpleSigmoidTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160;}</div></div><!-- fragment -->
1818</div>
1819</div>
1820<a id="a1020322feb8c6fe89ced59fcca8277c4"></a>
1821<h2 class="memtitle"><span class="permalink"><a href="#a1020322feb8c6fe89ced59fcca8277c4">&#9670;&nbsp;</a></span>SimpleSigmoidTestCommon()</h2>
1822
1823<div class="memitem">
1824<div class="memproto">
1825 <table class="memname">
1826 <tr>
1827 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimpleSigmoidTestCommon </td>
1828 <td>(</td>
1829 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1830 <td class="paramname"><em>workloadFactory</em>, </td>
1831 </tr>
1832 <tr>
1833 <td class="paramkey"></td>
1834 <td></td>
1835 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1836 <td class="paramname"><em>memoryManager</em>, </td>
1837 </tr>
1838 <tr>
1839 <td class="paramkey"></td>
1840 <td></td>
1841 <td class="paramtype">float&#160;</td>
1842 <td class="paramname"><em>qScale</em>, </td>
1843 </tr>
1844 <tr>
1845 <td class="paramkey"></td>
1846 <td></td>
1847 <td class="paramtype">int32_t&#160;</td>
1848 <td class="paramname"><em>qOffset</em>&#160;</td>
1849 </tr>
1850 <tr>
1851 <td></td>
1852 <td>)</td>
1853 <td></td><td></td>
1854 </tr>
1855 </table>
1856</div><div class="memdoc">
1857
1858<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>
1859
1860<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>.</p>
1861<div class="fragment"><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160;{</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; std::vector&lt;float&gt; inputData =</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; {</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; };</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160;</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <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>&#160; {</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <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>&#160; };</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; memoryManager,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a>,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; 0.f,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; 0.f,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; qScale,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; qOffset,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; inputData,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; 1.f / 256.f,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; 0,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; outputExpectedData);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div>
1862</div><!-- fragment -->
1863</div>
1864</div>
1865<a id="a0889979f9ffb67b036c3928c6e94af50"></a>
1866<h2 class="memtitle"><span class="permalink"><a href="#a0889979f9ffb67b036c3928c6e94af50">&#9670;&nbsp;</a></span>SimpleSigmoidUint8Test()</h2>
1867
1868<div class="memitem">
1869<div class="memproto">
1870 <table class="memname">
1871 <tr>
1872 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; SimpleSigmoidUint8Test </td>
1873 <td>(</td>
1874 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1875 <td class="paramname"><em>workloadFactory</em>, </td>
1876 </tr>
1877 <tr>
1878 <td class="paramkey"></td>
1879 <td></td>
1880 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1881 <td class="paramname"><em>memoryManager</em>&#160;</td>
1882 </tr>
1883 <tr>
1884 <td></td>
1885 <td>)</td>
1886 <td></td><td></td>
1887 </tr>
1888 </table>
1889</div><div class="memdoc">
1890
1891<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>
1892<div class="fragment"><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160;{</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <span class="keywordflow">return</span> SimpleSigmoidTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.1f, 50);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160;}</div></div><!-- fragment -->
1893</div>
1894</div>
1895<a id="a641db2befcd47ac97af966e20b1c4c2c"></a>
1896<h2 class="memtitle"><span class="permalink"><a href="#a641db2befcd47ac97af966e20b1c4c2c">&#9670;&nbsp;</a></span>SoftReLuInt16Test()</h2>
1897
1898<div class="memitem">
1899<div class="memproto">
1900 <table class="memname">
1901 <tr>
1902 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; SoftReLuInt16Test </td>
1903 <td>(</td>
1904 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1905 <td class="paramname"><em>workloadFactory</em>, </td>
1906 </tr>
1907 <tr>
1908 <td class="paramkey"></td>
1909 <td></td>
1910 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1911 <td class="paramname"><em>memoryManager</em>&#160;</td>
1912 </tr>
1913 <tr>
1914 <td></td>
1915 <td>)</td>
1916 <td></td><td></td>
1917 </tr>
1918 </table>
1919</div><div class="memdoc">
1920
1921<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>
1922<div class="fragment"><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160;{</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; <span class="keywordflow">return</span> SoftReLuTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;}</div></div><!-- fragment -->
1923</div>
1924</div>
1925<a id="a8bfdab68fed1467b8720cceb47881236"></a>
1926<h2 class="memtitle"><span class="permalink"><a href="#a8bfdab68fed1467b8720cceb47881236">&#9670;&nbsp;</a></span>SoftReLuTest()</h2>
1927
1928<div class="memitem">
1929<div class="memproto">
1930 <table class="memname">
1931 <tr>
1932 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; SoftReLuTest </td>
1933 <td>(</td>
1934 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1935 <td class="paramname"><em>workloadFactory</em>, </td>
1936 </tr>
1937 <tr>
1938 <td class="paramkey"></td>
1939 <td></td>
1940 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1941 <td class="paramname"><em>memoryManager</em>&#160;</td>
1942 </tr>
1943 <tr>
1944 <td></td>
1945 <td>)</td>
1946 <td></td><td></td>
1947 </tr>
1948 </table>
1949</div><div class="memdoc">
1950
1951<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>
1952<div class="fragment"><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160;{</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; <span class="keywordflow">return</span> SoftReLuTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160;}</div></div><!-- fragment -->
1953</div>
1954</div>
1955<a id="a4b43ab0b58fc8d4ad51b1b71c0e35622"></a>
1956<h2 class="memtitle"><span class="permalink"><a href="#a4b43ab0b58fc8d4ad51b1b71c0e35622">&#9670;&nbsp;</a></span>SoftReLuTestCommon()</h2>
1957
1958<div class="memitem">
1959<div class="memproto">
1960 <table class="memname">
1961 <tr>
1962 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SoftReLuTestCommon </td>
1963 <td>(</td>
1964 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1965 <td class="paramname"><em>workloadFactory</em>, </td>
1966 </tr>
1967 <tr>
1968 <td class="paramkey"></td>
1969 <td></td>
1970 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1971 <td class="paramname"><em>memoryManager</em>, </td>
1972 </tr>
1973 <tr>
1974 <td class="paramkey"></td>
1975 <td></td>
1976 <td class="paramtype">float&#160;</td>
1977 <td class="paramname"><em>qScale</em>, </td>
1978 </tr>
1979 <tr>
1980 <td class="paramkey"></td>
1981 <td></td>
1982 <td class="paramtype">int32_t&#160;</td>
1983 <td class="paramname"><em>qOffset</em>&#160;</td>
1984 </tr>
1985 <tr>
1986 <td></td>
1987 <td>)</td>
1988 <td></td><td></td>
1989 </tr>
1990 </table>
1991</div><div class="memdoc">
1992
1993<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>
1994
1995<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::SoftReLu</a>.</p>
1996<div class="fragment"><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160;{</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; };</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160;</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; <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>&#160; {</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160; <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>&#160; };</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160;</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; memoryManager,</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a>,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; 0.f,</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; 0.f,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; qScale,</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; qOffset,</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; inputData,</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; qScale,</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; qOffset,</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; outputExpectedData);</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a></div></div>
1997</div><!-- fragment -->
1998</div>
1999</div>
2000<a id="a732229b22cff2a8f96798c38832cab92"></a>
2001<h2 class="memtitle"><span class="permalink"><a href="#a732229b22cff2a8f96798c38832cab92">&#9670;&nbsp;</a></span>SoftReLuUint8Test()</h2>
2002
2003<div class="memitem">
2004<div class="memproto">
2005 <table class="memname">
2006 <tr>
2007 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; SoftReLuUint8Test </td>
2008 <td>(</td>
2009 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2010 <td class="paramname"><em>workloadFactory</em>, </td>
2011 </tr>
2012 <tr>
2013 <td class="paramkey"></td>
2014 <td></td>
2015 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2016 <td class="paramname"><em>memoryManager</em>&#160;</td>
2017 </tr>
2018 <tr>
2019 <td></td>
2020 <td>)</td>
2021 <td></td><td></td>
2022 </tr>
2023 </table>
2024</div><div class="memdoc">
2025
2026<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>
2027<div class="fragment"><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160;{</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; <span class="keywordflow">return</span> SoftReLuTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160;}</div></div><!-- fragment -->
2028</div>
2029</div>
2030<a id="a8b855f5d3e8aab93decfa2bed46fc4cf"></a>
2031<h2 class="memtitle"><span class="permalink"><a href="#a8b855f5d3e8aab93decfa2bed46fc4cf">&#9670;&nbsp;</a></span>SqrtInt16Test()</h2>
2032
2033<div class="memitem">
2034<div class="memproto">
2035 <table class="memname">
2036 <tr>
2037 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; SqrtInt16Test </td>
2038 <td>(</td>
2039 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2040 <td class="paramname"><em>workloadFactory</em>, </td>
2041 </tr>
2042 <tr>
2043 <td class="paramkey"></td>
2044 <td></td>
2045 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2046 <td class="paramname"><em>memoryManager</em>&#160;</td>
2047 </tr>
2048 <tr>
2049 <td></td>
2050 <td>)</td>
2051 <td></td><td></td>
2052 </tr>
2053 </table>
2054</div><div class="memdoc">
2055
2056<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>
2057<div class="fragment"><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>&#160;{</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>&#160; <span class="keywordflow">return</span> SqrtTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160;}</div></div><!-- fragment -->
2058</div>
2059</div>
2060<a id="a86f53855f5ab422f4e035b1aa11676f8"></a>
2061<h2 class="memtitle"><span class="permalink"><a href="#a86f53855f5ab422f4e035b1aa11676f8">&#9670;&nbsp;</a></span>SqrtNNTest()</h2>
2062
2063<div class="memitem">
2064<div class="memproto">
2065 <table class="memname">
2066 <tr>
2067 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 5&gt; SqrtNNTest </td>
2068 <td>(</td>
2069 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2070 <td class="paramname"><em>workloadFactory</em>, </td>
2071 </tr>
2072 <tr>
2073 <td class="paramkey"></td>
2074 <td></td>
2075 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2076 <td class="paramname"><em>memoryManager</em>&#160;</td>
2077 </tr>
2078 <tr>
2079 <td></td>
2080 <td>)</td>
2081 <td></td><td></td>
2082 </tr>
2083 </table>
2084</div><div class="memdoc">
2085
2086<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>
2087
2088<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&lt; LayerDescriptor &gt;::m_Parameters</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p>
2089<div class="fragment"><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160;{</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160; <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>&#160; std::vector&lt;float&gt; inputData(inputDataSize);</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160;</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i &lt; inputDataSize; ++i)</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; {</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; inputData[i] = <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(i) / 10;</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160; }</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160;</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; <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>&#160; {</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; <span class="keywordflow">return</span> std::sqrt(value);</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; };</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputDataSize);</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160;</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; <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>&#160; { 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>&#160; <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>&#160; { 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>&#160;</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 5&gt;</a> result(inputTensorInfo);</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160;</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; <span class="keyword">auto</span> input = MakeTensor&lt;float, 5&gt;(inputTensorInfo, inputData);</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160;</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; 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>&#160;</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160; <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>&#160; <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>&#160; AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160; AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160;</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160; 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>&#160;</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160;</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160;</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0][0]);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160;</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160;</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160; <span class="comment">// Calculated manually.</span></div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160; result.outputExpected = MakeTensor&lt;float, 5&gt;(outputTensorInfo, outputExpectedData);</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160;</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160;};</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>
2090<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div>
2091<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 &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
2092<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&lt; IWorkload &gt; CreateActivation(const ActivationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01099">WorkloadFactory.cpp:1099</a></div></div>
2093<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>
2094<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>
2095<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&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
2096<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
2097<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>
2098<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>
2099<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>
2100<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>
2101<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>
2102</div><!-- fragment -->
2103</div>
2104</div>
2105<a id="ad3928f2c56ed15642ff6306cc6823ebd"></a>
2106<h2 class="memtitle"><span class="permalink"><a href="#ad3928f2c56ed15642ff6306cc6823ebd">&#9670;&nbsp;</a></span>SqrtTest()</h2>
2107
2108<div class="memitem">
2109<div class="memproto">
2110 <table class="memname">
2111 <tr>
2112 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; SqrtTest </td>
2113 <td>(</td>
2114 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2115 <td class="paramname"><em>workloadFactory</em>, </td>
2116 </tr>
2117 <tr>
2118 <td class="paramkey"></td>
2119 <td></td>
2120 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2121 <td class="paramname"><em>memoryManager</em>&#160;</td>
2122 </tr>
2123 <tr>
2124 <td></td>
2125 <td>)</td>
2126 <td></td><td></td>
2127 </tr>
2128 </table>
2129</div><div class="memdoc">
2130
2131<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>
2132<div class="fragment"><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160;{</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>&#160; <span class="keywordflow">return</span> SqrtTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160;}</div></div><!-- fragment -->
2133</div>
2134</div>
2135<a id="aab2458914aa40f83ba027de7a8c07d06"></a>
2136<h2 class="memtitle"><span class="permalink"><a href="#aab2458914aa40f83ba027de7a8c07d06">&#9670;&nbsp;</a></span>SqrtTestCommon()</h2>
2137
2138<div class="memitem">
2139<div class="memproto">
2140 <table class="memname">
2141 <tr>
2142 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SqrtTestCommon </td>
2143 <td>(</td>
2144 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2145 <td class="paramname"><em>workloadFactory</em>, </td>
2146 </tr>
2147 <tr>
2148 <td class="paramkey"></td>
2149 <td></td>
2150 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2151 <td class="paramname"><em>memoryManager</em>, </td>
2152 </tr>
2153 <tr>
2154 <td class="paramkey"></td>
2155 <td></td>
2156 <td class="paramtype">float&#160;</td>
2157 <td class="paramname"><em>qScale</em>, </td>
2158 </tr>
2159 <tr>
2160 <td class="paramkey"></td>
2161 <td></td>
2162 <td class="paramtype">int32_t&#160;</td>
2163 <td class="paramname"><em>qOffset</em>&#160;</td>
2164 </tr>
2165 <tr>
2166 <td></td>
2167 <td>)</td>
2168 <td></td><td></td>
2169 </tr>
2170 </table>
2171</div><div class="memdoc">
2172
2173<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>
2174
2175<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>.</p>
2176<div class="fragment"><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160;{</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160; };</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160;</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160; <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>&#160; {</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160; <span class="keywordflow">return</span> std::sqrt(value);</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160; };</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160;</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160; memoryManager,</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a>,</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160; 0.f,</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160; 0.f,</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160; qScale,</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>&#160; qOffset,</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>&#160; inputData,</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160; qScale,</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160; qOffset,</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160; outputExpectedData);</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div>
2177</div><!-- fragment -->
2178</div>
2179</div>
2180<a id="a6403e38cfee03672c164e3cba9863147"></a>
2181<h2 class="memtitle"><span class="permalink"><a href="#a6403e38cfee03672c164e3cba9863147">&#9670;&nbsp;</a></span>SqrtUint8Test()</h2>
2182
2183<div class="memitem">
2184<div class="memproto">
2185 <table class="memname">
2186 <tr>
2187 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; SqrtUint8Test </td>
2188 <td>(</td>
2189 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2190 <td class="paramname"><em>workloadFactory</em>, </td>
2191 </tr>
2192 <tr>
2193 <td class="paramkey"></td>
2194 <td></td>
2195 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2196 <td class="paramname"><em>memoryManager</em>&#160;</td>
2197 </tr>
2198 <tr>
2199 <td></td>
2200 <td>)</td>
2201 <td></td><td></td>
2202 </tr>
2203 </table>
2204</div><div class="memdoc">
2205
2206<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>
2207<div class="fragment"><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>&#160;{</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160; <span class="keywordflow">return</span> SqrtTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>&#160;}</div></div><!-- fragment -->
2208</div>
2209</div>
2210<a id="a26219b66822d57b9fcce7a2504d1fca6"></a>
2211<h2 class="memtitle"><span class="permalink"><a href="#a26219b66822d57b9fcce7a2504d1fca6">&#9670;&nbsp;</a></span>SquareInt16Test()</h2>
2212
2213<div class="memitem">
2214<div class="memproto">
2215 <table class="memname">
2216 <tr>
2217 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; SquareInt16Test </td>
2218 <td>(</td>
2219 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2220 <td class="paramname"><em>workloadFactory</em>, </td>
2221 </tr>
2222 <tr>
2223 <td class="paramkey"></td>
2224 <td></td>
2225 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2226 <td class="paramname"><em>memoryManager</em>&#160;</td>
2227 </tr>
2228 <tr>
2229 <td></td>
2230 <td>)</td>
2231 <td></td><td></td>
2232 </tr>
2233 </table>
2234</div><div class="memdoc">
2235
2236<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>
2237<div class="fragment"><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160;{</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160; <span class="keywordflow">return</span> SquareTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160;}</div></div><!-- fragment -->
2238</div>
2239</div>
2240<a id="a6584d436388485a5bd9252430a0af5b6"></a>
2241<h2 class="memtitle"><span class="permalink"><a href="#a6584d436388485a5bd9252430a0af5b6">&#9670;&nbsp;</a></span>SquareTest()</h2>
2242
2243<div class="memitem">
2244<div class="memproto">
2245 <table class="memname">
2246 <tr>
2247 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; SquareTest </td>
2248 <td>(</td>
2249 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2250 <td class="paramname"><em>workloadFactory</em>, </td>
2251 </tr>
2252 <tr>
2253 <td class="paramkey"></td>
2254 <td></td>
2255 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2256 <td class="paramname"><em>memoryManager</em>&#160;</td>
2257 </tr>
2258 <tr>
2259 <td></td>
2260 <td>)</td>
2261 <td></td><td></td>
2262 </tr>
2263 </table>
2264</div><div class="memdoc">
2265
2266<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>
2267<div class="fragment"><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160;{</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; <span class="keywordflow">return</span> SquareTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160;}</div></div><!-- fragment -->
2268</div>
2269</div>
2270<a id="a26032da34ce1e283ae30d05ea3bbb103"></a>
2271<h2 class="memtitle"><span class="permalink"><a href="#a26032da34ce1e283ae30d05ea3bbb103">&#9670;&nbsp;</a></span>SquareTestCommon()</h2>
2272
2273<div class="memitem">
2274<div class="memproto">
2275 <table class="memname">
2276 <tr>
2277 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SquareTestCommon </td>
2278 <td>(</td>
2279 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2280 <td class="paramname"><em>workloadFactory</em>, </td>
2281 </tr>
2282 <tr>
2283 <td class="paramkey"></td>
2284 <td></td>
2285 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2286 <td class="paramname"><em>memoryManager</em>, </td>
2287 </tr>
2288 <tr>
2289 <td class="paramkey"></td>
2290 <td></td>
2291 <td class="paramtype">float&#160;</td>
2292 <td class="paramname"><em>qScale</em>, </td>
2293 </tr>
2294 <tr>
2295 <td class="paramkey"></td>
2296 <td></td>
2297 <td class="paramtype">int32_t&#160;</td>
2298 <td class="paramname"><em>qOffset</em>&#160;</td>
2299 </tr>
2300 <tr>
2301 <td></td>
2302 <td>)</td>
2303 <td></td><td></td>
2304 </tr>
2305 </table>
2306</div><div class="memdoc">
2307
2308<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>
2309
2310<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::Square</a>.</p>
2311<div class="fragment"><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>&#160;{</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>&#160; };</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160;</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160; <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>&#160; {</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160; <span class="keywordflow">return</span> std::pow(value,2);</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>&#160; };</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160;</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160; memoryManager,</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a>,</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160; 0.f,</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160; 0.f,</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160; qScale,</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160; qOffset,</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160; inputData,</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; qScale,</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; qOffset,</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; outputExpectedData);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div></div>
2312</div><!-- fragment -->
2313</div>
2314</div>
2315<a id="a61fffaf40ad721073b70c350174d0ff3"></a>
2316<h2 class="memtitle"><span class="permalink"><a href="#a61fffaf40ad721073b70c350174d0ff3">&#9670;&nbsp;</a></span>SquareUint8Test()</h2>
2317
2318<div class="memitem">
2319<div class="memproto">
2320 <table class="memname">
2321 <tr>
2322 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; SquareUint8Test </td>
2323 <td>(</td>
2324 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2325 <td class="paramname"><em>workloadFactory</em>, </td>
2326 </tr>
2327 <tr>
2328 <td class="paramkey"></td>
2329 <td></td>
2330 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2331 <td class="paramname"><em>memoryManager</em>&#160;</td>
2332 </tr>
2333 <tr>
2334 <td></td>
2335 <td>)</td>
2336 <td></td><td></td>
2337 </tr>
2338 </table>
2339</div><div class="memdoc">
2340
2341<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>
2342<div class="fragment"><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160;{</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; <span class="keywordflow">return</span> SquareTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.0625f, 64);</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160;}</div></div><!-- fragment -->
2343</div>
2344</div>
2345<a id="aacd820bdf2307a2aa667db2899283035"></a>
2346<h2 class="memtitle"><span class="permalink"><a href="#aacd820bdf2307a2aa667db2899283035">&#9670;&nbsp;</a></span>TanhInt16Test()</h2>
2347
2348<div class="memitem">
2349<div class="memproto">
2350 <table class="memname">
2351 <tr>
2352 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; TanhInt16Test </td>
2353 <td>(</td>
2354 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2355 <td class="paramname"><em>workloadFactory</em>, </td>
2356 </tr>
2357 <tr>
2358 <td class="paramkey"></td>
2359 <td></td>
2360 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2361 <td class="paramname"><em>memoryManager</em>&#160;</td>
2362 </tr>
2363 <tr>
2364 <td></td>
2365 <td>)</td>
2366 <td></td><td></td>
2367 </tr>
2368 </table>
2369</div><div class="memdoc">
2370
2371<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>
2372<div class="fragment"><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;{</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160; <span class="keywordflow">return</span> TanhTestCommon&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;}</div></div><!-- fragment -->
2373</div>
2374</div>
2375<a id="a923aa3e41cd11f5eeb7cc973fd8d3c76"></a>
2376<h2 class="memtitle"><span class="permalink"><a href="#a923aa3e41cd11f5eeb7cc973fd8d3c76">&#9670;&nbsp;</a></span>TanhTest()</h2>
2377
2378<div class="memitem">
2379<div class="memproto">
2380 <table class="memname">
2381 <tr>
2382 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; TanhTest </td>
2383 <td>(</td>
2384 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2385 <td class="paramname"><em>workloadFactory</em>, </td>
2386 </tr>
2387 <tr>
2388 <td class="paramkey"></td>
2389 <td></td>
2390 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2391 <td class="paramname"><em>memoryManager</em>&#160;</td>
2392 </tr>
2393 <tr>
2394 <td></td>
2395 <td>)</td>
2396 <td></td><td></td>
2397 </tr>
2398 </table>
2399</div><div class="memdoc">
2400
2401<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>
2402<div class="fragment"><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160;{</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160; <span class="keywordflow">return</span> TanhTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.1f, 0);</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;}</div></div><!-- fragment -->
2403</div>
2404</div>
2405<a id="a65aa329dc6abc6cf9dfb6177f42595de"></a>
2406<h2 class="memtitle"><span class="permalink"><a href="#a65aa329dc6abc6cf9dfb6177f42595de">&#9670;&nbsp;</a></span>TanhTestCommon()</h2>
2407
2408<div class="memitem">
2409<div class="memproto">
2410 <table class="memname">
2411 <tr>
2412 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; TanhTestCommon </td>
2413 <td>(</td>
2414 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2415 <td class="paramname"><em>workloadFactory</em>, </td>
2416 </tr>
2417 <tr>
2418 <td class="paramkey"></td>
2419 <td></td>
2420 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2421 <td class="paramname"><em>memoryManager</em>, </td>
2422 </tr>
2423 <tr>
2424 <td class="paramkey"></td>
2425 <td></td>
2426 <td class="paramtype">float&#160;</td>
2427 <td class="paramname"><em>qScale</em>, </td>
2428 </tr>
2429 <tr>
2430 <td class="paramkey"></td>
2431 <td></td>
2432 <td class="paramtype">int32_t&#160;</td>
2433 <td class="paramname"><em>qOffset</em>&#160;</td>
2434 </tr>
2435 <tr>
2436 <td></td>
2437 <td>)</td>
2438 <td></td><td></td>
2439 </tr>
2440 </table>
2441</div><div class="memdoc">
2442
2443<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>
2444
2445<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p>
2446<div class="fragment"><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160;{</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; std::vector&lt;float&gt; inputData = {</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160; -0.1f, -0.2f, -0.3f, -0.4f,</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160; 0.1f, 0.2f, 0.3f, 0.4f,</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>&#160; -1.0f, -2.0f, -3.0f, -4.0f,</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>&#160; };</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>&#160;</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>&#160; <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>&#160; <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>&#160; <span class="comment">// Calculate output values for input.</span></div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160; <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>&#160; {</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160; <span class="keywordflow">return</span> a * tanhf(b * value);</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>&#160; };</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160; std::vector&lt;float&gt; outputExpectedData(inputData.size());</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>&#160; std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>&#160;</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>&#160; <span class="keywordflow">return</span> SimpleActivationTest&lt;ArmnnType&gt;(workloadFactory,</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>&#160; memoryManager,</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>&#160; <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a>,</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>&#160; a,</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>&#160; b,</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>&#160; qScale,</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>&#160; qOffset,</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>&#160; inputData,</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>&#160; qScale,</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>&#160; qOffset,</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>&#160; outputExpectedData);</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div></div>
2447</div><!-- fragment -->
2448</div>
2449</div>
2450<a id="abe9073d08e150e3dd5e156af7ea8faa5"></a>
2451<h2 class="memtitle"><span class="permalink"><a href="#abe9073d08e150e3dd5e156af7ea8faa5">&#9670;&nbsp;</a></span>TanhUint8Test()</h2>
2452
2453<div class="memitem">
2454<div class="memproto">
2455 <table class="memname">
2456 <tr>
2457 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; TanhUint8Test </td>
2458 <td>(</td>
2459 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
2460 <td class="paramname"><em>workloadFactory</em>, </td>
2461 </tr>
2462 <tr>
2463 <td class="paramkey"></td>
2464 <td></td>
2465 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
2466 <td class="paramname"><em>memoryManager</em>&#160;</td>
2467 </tr>
2468 <tr>
2469 <td></td>
2470 <td>)</td>
2471 <td></td><td></td>
2472 </tr>
2473 </table>
2474</div><div class="memdoc">
2475
2476<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>
2477<div class="fragment"><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;{</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; <span class="keywordflow">return</span> TanhTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.1f, 64);</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;}</div></div><!-- fragment -->
2478</div>
2479</div>
2480</div><!-- contents -->
2481</div><!-- doc-content -->
2482<!-- start footer part -->
2483<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
2484 <ul>
2485 <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>
2486 <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by
2487 <a href="http://www.doxygen.org/index.html">
2488 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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