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diff --git a/21.02/_fuse_activation_tests_8cpp.xhtml b/21.02/_fuse_activation_tests_8cpp.xhtml new file mode 100644 index 0000000000..55c7454c84 --- /dev/null +++ b/21.02/_fuse_activation_tests_8cpp.xhtml @@ -0,0 +1,1819 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnn/test/optimizations/FuseActivationTests.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">FuseActivationTests.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_layers_fwd_8hpp_source.xhtml">LayersFwd.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_network_8hpp_source.xhtml">Network.hpp</a>></code><br /> +<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> +<code>#include <<a class="el" href="_i_network_8hpp_source.xhtml">armnn/INetwork.hpp</a>></code><br /> +<code>#include <<a class="el" href="_test_utils_8hpp_source.xhtml">test/TestUtils.hpp</a>></code><br /> +<code>#include <boost/test/unit_test.hpp></code><br /> +<code>#include <<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>></code><br /> +<code>#include <string></code><br /> +</div> +<p><a href="_fuse_activation_tests_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a> +Namespaces</h2></td></tr> +<tr class="memitem:namespacearmnn"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn.xhtml">armnn</a></td></tr> +<tr class="memdesc:namespacearmnn"><td class="mdescLeft"> </td><td class="mdescRight">Copyright (c) 2021 ARM Limited and Contributors. <br /></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a970a54bda5eb35a2f9d0126a50ff5483"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:a970a54bda5eb35a2f9d0126a50ff5483"><td class="memTemplItemLeft" align="right" valign="top">std::vector< T > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn.xhtml#a970a54bda5eb35a2f9d0126a50ff5483">GetVector</a> (unsigned int size, float initial, float increment)</td></tr> +<tr class="separator:a970a54bda5eb35a2f9d0126a50ff5483"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9948cdd172fa2e635fb12120801acb7f"><td class="memTemplParams" colspan="2">template<typename LayerTest , DataType ArmnnType> </td></tr> +<tr class="memitem:a9948cdd172fa2e635fb12120801acb7f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn.xhtml#a9948cdd172fa2e635fb12120801acb7f">CreatNetwork</a> (<a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor, bool preventFusing, float scale, int32_t offset)</td></tr> +<tr class="separator:a9948cdd172fa2e635fb12120801acb7f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adb56d47ac87f3d9320dcfc6c9a2f872e"><td class="memTemplParams" colspan="2">template<typename LayerTest , DataType ArmnnType, typename LayerType = typename LayerTest::LayerType, typename T = ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:adb56d47ac87f3d9320dcfc6c9a2f872e"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn.xhtml#adb56d47ac87f3d9320dcfc6c9a2f872e">FuseActivationIntoPreviousLayerTest</a> (<a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor, float tolerance, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456ae">Compute</a> backendId, float scale=1.f, int32_t offset=0)</td></tr> +<tr class="separator:adb56d47ac87f3d9320dcfc6c9a2f872e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9d101c8c305ca51847eabe04df945992"><td class="memTemplParams" colspan="2">template<typename LayerTest , DataType ArmnnType, typename LayerType = typename LayerTest::LayerType, typename T = ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a9d101c8c305ca51847eabe04df945992"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a> (<a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456ae">Compute</a> backendId, float scale=1.f, int32_t offset=0)</td></tr> +<tr class="separator:a9d101c8c305ca51847eabe04df945992"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a52b964f8b1cb25130ee86a9772cb6bde"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a52b964f8b1cb25130ee86a9772cb6bde">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoConvFloat32CpuAccTest)</td></tr> +<tr class="separator:a52b964f8b1cb25130ee86a9772cb6bde"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a73ae9212f028bcab59bf8448ce5ccaf2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a73ae9212f028bcab59bf8448ce5ccaf2">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoDWConvFloat32CpuAccTest)</td></tr> +<tr class="separator:a73ae9212f028bcab59bf8448ce5ccaf2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0e3f1d0722e356e8d0b36f5e7256883a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a0e3f1d0722e356e8d0b36f5e7256883a">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoFullyConnectedFloat32CpuAccTest)</td></tr> +<tr class="separator:a0e3f1d0722e356e8d0b36f5e7256883a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6eeefca7bb8a258d108f0b4105a7c6eb"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a6eeefca7bb8a258d108f0b4105a7c6eb">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoBatchNormFloat32CpuAccTest)</td></tr> +<tr class="separator:a6eeefca7bb8a258d108f0b4105a7c6eb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4c34e26c3bd6ea757dc72a9d0f12cee6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a4c34e26c3bd6ea757dc72a9d0f12cee6">BOOST_AUTO_TEST_CASE</a> 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colspan="2"> </td></tr> +<tr class="memitem:a0c5c547517e2b8951f55a0d751541360"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a0c5c547517e2b8951f55a0d751541360">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoBatchNormFloat32CpuAccTest)</td></tr> +<tr class="separator:a0c5c547517e2b8951f55a0d751541360"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab993fbdc11c14ee31aafc9044ea8ddc0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#ab993fbdc11c14ee31aafc9044ea8ddc0">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoConvQAsymmU8CpuAccTest)</td></tr> +<tr class="separator:ab993fbdc11c14ee31aafc9044ea8ddc0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a58c908f99f9385cf513ee8ae563ad756"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a58c908f99f9385cf513ee8ae563ad756">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoDWConvQAsymmU8CpuAccTest)</td></tr> +<tr class="separator:a58c908f99f9385cf513ee8ae563ad756"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae187acf2e09c51e208b16dc236ba5eb4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#ae187acf2e09c51e208b16dc236ba5eb4">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoFullyConnectedQAsymmU8CpuAccTest)</td></tr> +<tr class="separator:ae187acf2e09c51e208b16dc236ba5eb4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:addd6bc90eacf7dc03c91f66fd79348ee"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#addd6bc90eacf7dc03c91f66fd79348ee">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoConvQASymmS8CpuAccTest)</td></tr> +<tr class="separator:addd6bc90eacf7dc03c91f66fd79348ee"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae86307d79d099b5457099bbfdcc1f418"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#ae86307d79d099b5457099bbfdcc1f418">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoDWConvQASymmS8CpuAccTest)</td></tr> +<tr class="separator:ae86307d79d099b5457099bbfdcc1f418"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa5985205ff918ba8d38cdb6388c0b44c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#aa5985205ff918ba8d38cdb6388c0b44c">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoFullyConnectedQASymmS8CpuAccTest)</td></tr> +<tr class="separator:aa5985205ff918ba8d38cdb6388c0b44c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a382f3969ad4e672d46cfa11818e628e0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a382f3969ad4e672d46cfa11818e628e0">BOOST_AUTO_TEST_CASE</a> (FuseTanHIntoConvFloat32CpuAccTest)</td></tr> +<tr class="separator:a382f3969ad4e672d46cfa11818e628e0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5ba6b56d2d6335e1e429ceb6c9b67aaa"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a5ba6b56d2d6335e1e429ceb6c9b67aaa">BOOST_AUTO_TEST_CASE</a> (FuseHardSwishIntoConvFloat32CpuAccTest)</td></tr> +<tr class="separator:a5ba6b56d2d6335e1e429ceb6c9b67aaa"><td class="memSeparator" 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class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a574e2de668874405fe69189adf1a8ad3">BOOST_AUTO_TEST_CASE</a> (LayerFollowedByActivationQAsymmU8CpuAccTest)</td></tr> +<tr class="separator:a574e2de668874405fe69189adf1a8ad3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a02571a096ef18583178c8377caa54c24"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a02571a096ef18583178c8377caa54c24">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoConvFloat32GpuAccTest)</td></tr> +<tr class="separator:a02571a096ef18583178c8377caa54c24"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae1e8962ebfec010045479f4b5b842e6f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#ae1e8962ebfec010045479f4b5b842e6f">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoDWConvFloat32GpuAccTest)</td></tr> +<tr class="separator:ae1e8962ebfec010045479f4b5b842e6f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a603878ba70ee12bde4d0f401a70b4393"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a603878ba70ee12bde4d0f401a70b4393">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoFullyConnectedFloat32GpuAccTest)</td></tr> +<tr class="separator:a603878ba70ee12bde4d0f401a70b4393"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a08a7f797220eb1ace680badb0101496d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a08a7f797220eb1ace680badb0101496d">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoBatchNormFloat32GpuAccTest)</td></tr> +<tr class="separator:a08a7f797220eb1ace680badb0101496d"><td class="memSeparator" 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valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a5893f048d3665ee387b462f072b97fa3">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoSubFloat32GpuAccTest)</td></tr> +<tr class="separator:a5893f048d3665ee387b462f072b97fa3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8bdbd678d7dfd7496fde2d70002cd217"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a8bdbd678d7dfd7496fde2d70002cd217">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoDivFloat32GpuAccTest)</td></tr> +<tr class="separator:a8bdbd678d7dfd7496fde2d70002cd217"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afd8fb92603361c68761bff9cbac5ffe7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#afd8fb92603361c68761bff9cbac5ffe7">BOOST_AUTO_TEST_CASE</a> 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class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#aa15470d3b7258faa8d4cbda900ecbbc5">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoAddFloat32GpuAccTest)</td></tr> +<tr class="separator:aa15470d3b7258faa8d4cbda900ecbbc5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a94ac546b5e5302df31cb709668ae8648"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a94ac546b5e5302df31cb709668ae8648">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoSubFloat32GpuAccTest)</td></tr> +<tr class="separator:a94ac546b5e5302df31cb709668ae8648"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af25fb06869a9449ace91382698ccf24d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#af25fb06869a9449ace91382698ccf24d">BOOST_AUTO_TEST_CASE</a> 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valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#ad9d04e82de1cb3015cec241f41c8243a">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoMulFloat16GpuAccTest)</td></tr> +<tr class="separator:ad9d04e82de1cb3015cec241f41c8243a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac4479481ae861510c3ea648fd470ff84"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#ac4479481ae861510c3ea648fd470ff84">BOOST_AUTO_TEST_CASE</a> (FuseReLUIntoAddFloat16GpuAccTest)</td></tr> +<tr class="separator:ac4479481ae861510c3ea648fd470ff84"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4e8d046f5db4d6fd25fb4af58419e2f2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a4e8d046f5db4d6fd25fb4af58419e2f2">BOOST_AUTO_TEST_CASE</a> 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valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a3ceda51ba5d8b75425c5652b625f5433">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoConvQASymmS8GpuAccTest)</td></tr> +<tr class="separator:a3ceda51ba5d8b75425c5652b625f5433"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a484cd4769f01e123d5c67255391283f0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a484cd4769f01e123d5c67255391283f0">BOOST_AUTO_TEST_CASE</a> (FuseBoundedReLUIntoDWConvQASymmS8GpuAccTest)</td></tr> +<tr class="separator:a484cd4769f01e123d5c67255391283f0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aeda788078ee8390b19d6c3f0524aa1bc"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#aeda788078ee8390b19d6c3f0524aa1bc">BOOST_AUTO_TEST_CASE</a> 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colspan="2"> </td></tr> +<tr class="memitem:a4f6e6d2a18b2873775a0b514a3c8740b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a4f6e6d2a18b2873775a0b514a3c8740b">BOOST_AUTO_TEST_CASE</a> (FuseTanHIntoAddFloat32GpuAccTest)</td></tr> +<tr class="separator:a4f6e6d2a18b2873775a0b514a3c8740b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7384c2b3e8c0861adf801b824860b4d5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a7384c2b3e8c0861adf801b824860b4d5">BOOST_AUTO_TEST_CASE</a> (FuseTanHIntoSubFloat32GpuAccTest)</td></tr> +<tr class="separator:a7384c2b3e8c0861adf801b824860b4d5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab987c797a4dabd4874ac9d3a31b1ac21"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#ab987c797a4dabd4874ac9d3a31b1ac21">BOOST_AUTO_TEST_CASE</a> (FuseTanHIntoDivFloat32GpuAccTest)</td></tr> +<tr class="separator:ab987c797a4dabd4874ac9d3a31b1ac21"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a27314f0efb0487f219baf64f3e6e3ef0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a27314f0efb0487f219baf64f3e6e3ef0">BOOST_AUTO_TEST_CASE</a> (FuseHardSwishIntoConvFloat32GpuAccTest)</td></tr> +<tr class="separator:a27314f0efb0487f219baf64f3e6e3ef0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4700b6ffbf89cf325e0ed02131027828"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a4700b6ffbf89cf325e0ed02131027828">BOOST_AUTO_TEST_CASE</a> (FuseHardSwishIntoMulFloat32GpuAccTest)</td></tr> +<tr class="separator:a4700b6ffbf89cf325e0ed02131027828"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adf092f47c6c970c1902bb230b6f5178d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#adf092f47c6c970c1902bb230b6f5178d">BOOST_AUTO_TEST_CASE</a> (FuseHardSwishIntoAddFloat32GpuAccTest)</td></tr> +<tr class="separator:adf092f47c6c970c1902bb230b6f5178d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7306c4b163752b20ba9e44368a23b2e9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a7306c4b163752b20ba9e44368a23b2e9">BOOST_AUTO_TEST_CASE</a> (FuseHardSwishIntoSubFloat32GpuAccTest)</td></tr> +<tr class="separator:a7306c4b163752b20ba9e44368a23b2e9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aacc44727d8a24fa529c0f72ced770e1d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#aacc44727d8a24fa529c0f72ced770e1d">BOOST_AUTO_TEST_CASE</a> (FuseHardSwishIntoDivFloat32GpuAccTest)</td></tr> +<tr class="separator:aacc44727d8a24fa529c0f72ced770e1d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4f93f6037c43fadc854382fc262936d0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a4f93f6037c43fadc854382fc262936d0">BOOST_AUTO_TEST_CASE</a> (LayerFollowedByActivationFloat32GpuAccTest)</td></tr> +<tr class="separator:a4f93f6037c43fadc854382fc262936d0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0012535f7f42207f8a143782e1a172de"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a0012535f7f42207f8a143782e1a172de">BOOST_AUTO_TEST_CASE</a> (LayerFollowedByActivationFloat16GpuAccTest)</td></tr> +<tr class="separator:a0012535f7f42207f8a143782e1a172de"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3fcf4ec3817c98d233041a59ca99e53c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_fuse_activation_tests_8cpp.xhtml#a3fcf4ec3817c98d233041a59ca99e53c">BOOST_AUTO_TEST_CASE</a> (LayerFollowedByActivationQAsymmU8GpuAccTest)</td></tr> +<tr class="separator:a3fcf4ec3817c98d233041a59ca99e53c"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a52b964f8b1cb25130ee86a9772cb6bde"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a52b964f8b1cb25130ee86a9772cb6bde">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[1/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoConvFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00479">479</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> {</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a73ae9212f028bcab59bf8448ce5ccaf2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a73ae9212f028bcab59bf8448ce5ccaf2">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[2/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoDWConvFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00487">487</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> {</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0e3f1d0722e356e8d0b36f5e7256883a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0e3f1d0722e356e8d0b36f5e7256883a">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[3/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoFullyConnectedFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00495">495</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> {</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6eeefca7bb8a258d108f0b4105a7c6eb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6eeefca7bb8a258d108f0b4105a7c6eb">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[4/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoBatchNormFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00503">503</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> {</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4c34e26c3bd6ea757dc72a9d0f12cee6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4c34e26c3bd6ea757dc72a9d0f12cee6">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[5/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoConvFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00513">513</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a158c41dfc8aacd95847cc269bde2fa63"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a158c41dfc8aacd95847cc269bde2fa63">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[6/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoDWConvFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00523">523</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  FuseActivationIntoPreviousLayerTest < DWConvolution2dTest < DataType::Float32 > , DataType::Float32 ></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1f0f0640dc1fd7addd9273e15618e76e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1f0f0640dc1fd7addd9273e15618e76e">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[7/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoFullyConnectedFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00533">533</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> {</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0c5c547517e2b8951f55a0d751541360"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0c5c547517e2b8951f55a0d751541360">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[8/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoBatchNormFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00543">543</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> {</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab993fbdc11c14ee31aafc9044ea8ddc0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab993fbdc11c14ee31aafc9044ea8ddc0">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[9/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoConvQAsymmU8CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00555">555</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> {</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a58c908f99f9385cf513ee8ae563ad756"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a58c908f99f9385cf513ee8ae563ad756">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[10/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoDWConvQAsymmU8CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00563">563</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> {</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> </div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae187acf2e09c51e208b16dc236ba5eb4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae187acf2e09c51e208b16dc236ba5eb4">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[11/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoFullyConnectedQAsymmU8CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00571">571</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> {</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="addd6bc90eacf7dc03c91f66fd79348ee"></a> +<h2 class="memtitle"><span class="permalink"><a href="#addd6bc90eacf7dc03c91f66fd79348ee">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[12/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoConvQASymmS8CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00581">581</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>.</p> +<div class="fragment"><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> {</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0.0f;</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> </div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmS8>, DataType::QAsymmS8></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae86307d79d099b5457099bbfdcc1f418"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae86307d79d099b5457099bbfdcc1f418">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[13/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoDWConvQASymmS8CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00591">591</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>.</p> +<div class="fragment"><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> {</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0.0f;</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  FuseActivationIntoPreviousLayerTest < DWConvolution2dTest < DataType::QAsymmS8 > , DataType::QAsymmS8 ></div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa5985205ff918ba8d38cdb6388c0b44c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa5985205ff918ba8d38cdb6388c0b44c">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[14/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoFullyConnectedQASymmS8CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00601">601</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>.</p> +<div class="fragment"><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> {</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0.0f;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::QAsymmS8>, DataType::QAsymmS8></div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a382f3969ad4e672d46cfa11818e628e0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a382f3969ad4e672d46cfa11818e628e0">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[15/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseTanHIntoConvFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00613">613</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> {</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> </div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a5ba6b56d2d6335e1e429ceb6c9b67aaa"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5ba6b56d2d6335e1e429ceb6c9b67aaa">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[16/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseHardSwishIntoConvFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00623">623</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  (activationDescriptor, 0.0001f, Compute::CpuAcc);</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a75f03069192d1cf222be7211a5aed9a3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a75f03069192d1cf222be7211a5aed9a3">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[17/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">LayerFollowedByActivationFloat32CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00633">633</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00431">armnn::FuseActivationSimpleTest()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> {</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i != 12; ++i)</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  {</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a><span class="keyword">></span>(i);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> << i);</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><DWConvolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"DepthwiseConvolution + Activation function "</span> << i);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> << i);</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><BatchNormTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"BatchNorm + Activation function "</span> << i);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  }</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9d101c8c305ca51847eabe04df945992"><div class="ttname"><a href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">armnn::FuseActivationSimpleTest</a></div><div class="ttdeci">bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute backendId, float scale=1.f, int32_t offset=0)</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_activation_tests_8cpp_source.xhtml#l00431">FuseActivationTests.cpp:431</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00056">Types.hpp:56</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6e57be4023d2c7365723753a068a2a36"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e57be4023d2c7365723753a068a2a36">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[18/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">LayerFollowedByActivationFloat16CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00651">651</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00431">armnn::FuseActivationSimpleTest()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> {</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i != 12; ++i)</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  {</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a><span class="keyword">></span>(i);</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> << i);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><DWConvolution2dTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"DepthwiseConvolution + Activation function "</span> << i);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> << i);</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><BatchNormTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"BatchNorm + Activation function "</span> << i);</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  }</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9d101c8c305ca51847eabe04df945992"><div class="ttname"><a href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">armnn::FuseActivationSimpleTest</a></div><div class="ttdeci">bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute backendId, float scale=1.f, int32_t offset=0)</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_activation_tests_8cpp_source.xhtml#l00431">FuseActivationTests.cpp:431</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00056">Types.hpp:56</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a574e2de668874405fe69189adf1a8ad3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a574e2de668874405fe69189adf1a8ad3">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[19/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">LayerFollowedByActivationQAsymmU8CpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00669">669</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::CpuAcc</a>, <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00431">armnn::FuseActivationSimpleTest()</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> {</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::Sigmoid;</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  (activationDescriptor, Compute::CpuAcc, 1.f / 256.f, 0)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  (activationDescriptor, Compute::CpuAcc, 1.f / 256.f, 0)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  (activationDescriptor, Compute::CpuAcc, 1.f / 128.f, 128)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  (activationDescriptor, Compute::CpuAcc, 1.f / 128.f, 128)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> </div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> </div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  (activationDescriptor, Compute::CpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9d101c8c305ca51847eabe04df945992"><div class="ttname"><a href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">armnn::FuseActivationSimpleTest</a></div><div class="ttdeci">bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute backendId, float scale=1.f, int32_t offset=0)</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_activation_tests_8cpp_source.xhtml#l00431">FuseActivationTests.cpp:431</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a02571a096ef18583178c8377caa54c24"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a02571a096ef18583178c8377caa54c24">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[20/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoConvFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00719">719</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> {</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae1e8962ebfec010045479f4b5b842e6f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae1e8962ebfec010045479f4b5b842e6f">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[21/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoDWConvFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00727">727</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> {</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> </div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a603878ba70ee12bde4d0f401a70b4393"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a603878ba70ee12bde4d0f401a70b4393">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[22/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoFullyConnectedFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00735">735</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> {</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> </div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a08a7f797220eb1ace680badb0101496d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a08a7f797220eb1ace680badb0101496d">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[23/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoBatchNormFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00743">743</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> {</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> </div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="acf18c8a40e18ebf61215c0c9c87096fa"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acf18c8a40e18ebf61215c0c9c87096fa">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[24/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoMulFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00751">751</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00752"></a><span class="lineno"> 752</span> {</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a541f66c4f1cbf8f5e3db2a569b751031"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a541f66c4f1cbf8f5e3db2a569b751031">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[25/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoAddFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00759">759</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> {</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> </div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a5893f048d3665ee387b462f072b97fa3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5893f048d3665ee387b462f072b97fa3">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[26/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoSubFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00767">767</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> {</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a8bdbd678d7dfd7496fde2d70002cd217"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8bdbd678d7dfd7496fde2d70002cd217">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[27/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoDivFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00775">775</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> {</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> </div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  FuseActivationIntoPreviousLayerTest<DivisionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="afd8fb92603361c68761bff9cbac5ffe7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afd8fb92603361c68761bff9cbac5ffe7">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[28/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoConvFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00785">785</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> {</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> </div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aceb960477d1e77912008669c98f50230"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aceb960477d1e77912008669c98f50230">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[29/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoDWConvFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00795">795</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> {</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> </div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="abf1693da46acc6f81dfc6df85ad2d1f0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abf1693da46acc6f81dfc6df85ad2d1f0">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[30/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoFullyConnectedFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00805">805</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> {</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> </div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9817386c9a30225c7603c2a7834d31e2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9817386c9a30225c7603c2a7834d31e2">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[31/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoBatchNormFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00815">815</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00816"></a><span class="lineno"> 816</span> {</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span> </div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae169ee5010d71528a84077e05a51ffd1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae169ee5010d71528a84077e05a51ffd1">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[32/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoMulFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00825">825</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> {</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> </div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa15470d3b7258faa8d4cbda900ecbbc5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa15470d3b7258faa8d4cbda900ecbbc5">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[33/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoAddFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00835">835</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00836"></a><span class="lineno"> 836</span> {</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a94ac546b5e5302df31cb709668ae8648"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a94ac546b5e5302df31cb709668ae8648">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[34/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoSubFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00845">845</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> {</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> </div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af25fb06869a9449ace91382698ccf24d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af25fb06869a9449ace91382698ccf24d">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[35/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoDivFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00855">855</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l00856"></a><span class="lineno"> 856</span> {</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span> </div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  FuseActivationIntoPreviousLayerTest<DivisionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a61d52ae43d5aa65595533df62274b7cb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a61d52ae43d5aa65595533df62274b7cb">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[36/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoConvFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00867">867</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00868"></a><span class="lineno"> 868</span> {</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span> </div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a14f001374fbb5af7c243043cac0b3b5a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a14f001374fbb5af7c243043cac0b3b5a">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[37/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoDWConvFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00875">875</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00876"></a><span class="lineno"> 876</span> {</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> </div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a5956ee0b3b8d1f10a83434c0d4a98bf8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5956ee0b3b8d1f10a83434c0d4a98bf8">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[38/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoFullyConnectedFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00883">883</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00884"></a><span class="lineno"> 884</span> {</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="abc26206125714e865afc2f01cd23a568"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abc26206125714e865afc2f01cd23a568">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[39/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoBatchNormFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00891">891</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00892"></a><span class="lineno"> 892</span> {</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span> </div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad9d04e82de1cb3015cec241f41c8243a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad9d04e82de1cb3015cec241f41c8243a">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[40/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoMulFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00899">899</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00900"></a><span class="lineno"> 900</span> {</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span> </div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac4479481ae861510c3ea648fd470ff84"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac4479481ae861510c3ea648fd470ff84">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[41/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoAddFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00907">907</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> {</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> </div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4e8d046f5db4d6fd25fb4af58419e2f2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4e8d046f5db4d6fd25fb4af58419e2f2">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[42/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoSubFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00915">915</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> {</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span> </div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac5ace39e4106fdaec1cefa6e50417e48"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac5ace39e4106fdaec1cefa6e50417e48">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[43/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUIntoDivFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00923">923</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> {</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span> </div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  FuseActivationIntoPreviousLayerTest<DivisionTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a07ae85caee1337e34ceabd0a2e294c8e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a07ae85caee1337e34ceabd0a2e294c8e">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[44/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUQIntoConvAsymmU8GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00933">933</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00934"></a><span class="lineno"> 934</span> {</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab9a23bfd314a265196bb602d4e80d518"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab9a23bfd314a265196bb602d4e80d518">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[45/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUQIntoDWConvAsymmU8GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00941">941</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> {</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> </div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a47a389a8a9f3ecfe7b522ffc5b94987f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a47a389a8a9f3ecfe7b522ffc5b94987f">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[46/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseReLUQIntoFullyConnectedAsymmU8GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00949">949</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>.</p> +<div class="fragment"><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> {</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span> </div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3ceda51ba5d8b75425c5652b625f5433"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3ceda51ba5d8b75425c5652b625f5433">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[47/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoConvQASymmS8GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00959">959</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>.</p> +<div class="fragment"><div class="line"><a name="l00960"></a><span class="lineno"> 960</span> {</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0.0f;</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span> </div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmS8>, DataType::QAsymmS8></div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a484cd4769f01e123d5c67255391283f0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a484cd4769f01e123d5c67255391283f0">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[48/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoDWConvQASymmS8GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00969">969</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>.</p> +<div class="fragment"><div class="line"><a name="l00970"></a><span class="lineno"> 970</span> {</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0.0f;</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> </div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  FuseActivationIntoPreviousLayerTest < DWConvolution2dTest < DataType::QAsymmS8 > , DataType::QAsymmS8 ></div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aeda788078ee8390b19d6c3f0524aa1bc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aeda788078ee8390b19d6c3f0524aa1bc">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[49/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseBoundedReLUIntoFullyConnectedQASymmS8GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00979">979</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>.</p> +<div class="fragment"><div class="line"><a name="l00980"></a><span class="lineno"> 980</span> {</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 0.0f;</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span> </div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::QAsymmS8>, DataType::QAsymmS8></div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab4c9e7d291dd788d170601dc52abadda"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab4c9e7d291dd788d170601dc52abadda">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[50/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseTanHIntoConvFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00991">991</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l00992"></a><span class="lineno"> 992</span> {</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span> </div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae6a076fdb33ca7ce7fde87b34d986f38"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae6a076fdb33ca7ce7fde87b34d986f38">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[51/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseTanHIntoMulFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00999">999</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> {</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> </div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4f6e6d2a18b2873775a0b514a3c8740b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4f6e6d2a18b2873775a0b514a3c8740b">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[52/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseTanHIntoAddFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01007">1007</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> {</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span> </div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a7384c2b3e8c0861adf801b824860b4d5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7384c2b3e8c0861adf801b824860b4d5">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[53/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseTanHIntoSubFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01015">1015</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> {</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span> </div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab987c797a4dabd4874ac9d3a31b1ac21"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab987c797a4dabd4874ac9d3a31b1ac21">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[54/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseTanHIntoDivFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01023">1023</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> {</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span> </div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  FuseActivationIntoPreviousLayerTest<DivisionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a27314f0efb0487f219baf64f3e6e3ef0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a27314f0efb0487f219baf64f3e6e3ef0">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[55/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseHardSwishIntoConvFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01033">1033</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span> {</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span> </div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4700b6ffbf89cf325e0ed02131027828"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4700b6ffbf89cf325e0ed02131027828">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[56/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseHardSwishIntoMulFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01041">1041</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> {</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span> </div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="adf092f47c6c970c1902bb230b6f5178d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adf092f47c6c970c1902bb230b6f5178d">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[57/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseHardSwishIntoAddFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01049">1049</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> {</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> </div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a7306c4b163752b20ba9e44368a23b2e9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7306c4b163752b20ba9e44368a23b2e9">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[58/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseHardSwishIntoSubFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01057">1057</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span> {</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> </div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aacc44727d8a24fa529c0f72ced770e1d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aacc44727d8a24fa529c0f72ced770e1d">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[59/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">FuseHardSwishIntoDivFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01065">1065</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span> {</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span> </div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  FuseActivationIntoPreviousLayerTest<DivisionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  (activationDescriptor, 0.0001f, Compute::GpuAcc);</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4f93f6037c43fadc854382fc262936d0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4f93f6037c43fadc854382fc262936d0">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[60/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">LayerFollowedByActivationFloat32GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01075">1075</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::Elu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00431">armnn::FuseActivationSimpleTest()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span> {</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i != 12; ++i)</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  {</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a><span class="keyword">></span>(i);</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="keywordflow">if</span> (activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> != ActivationFunction::Elu)</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  {</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> << i);</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><DWConvolution2dTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"DepthwiseConvolution + Activation function "</span> << i);</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> << i);</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><BatchNormTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"BatchNorm + Activation function "</span> << i);</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><MultiplicationTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Multiplication + Activation function "</span> << i);</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><AdditionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Addition + Activation function "</span> << i);</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><SubtractionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Subtraction + Activation function "</span> << i);</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><DivisionTest<DataType::Float32>, DataType::Float32></div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Division + Activation function "</span> << i);</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  }</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  }</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> }</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#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9d101c8c305ca51847eabe04df945992"><div class="ttname"><a href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">armnn::FuseActivationSimpleTest</a></div><div class="ttdeci">bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute backendId, float scale=1.f, int32_t offset=0)</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_activation_tests_8cpp_source.xhtml#l00431">FuseActivationTests.cpp:431</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00056">Types.hpp:56</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0012535f7f42207f8a143782e1a172de"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0012535f7f42207f8a143782e1a172de">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[61/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">LayerFollowedByActivationFloat16GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01104">1104</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::Elu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00431">armnn::FuseActivationSimpleTest()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>.</p> +<div class="fragment"><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> {</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i != 12; ++i)</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  {</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a><span class="keyword">></span>(i);</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <span class="keywordflow">if</span> (activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> != ActivationFunction::Elu)</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  {</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> << i);</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><DWConvolution2dTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Depthwise + Activation function "</span> << i);</div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> << i);</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><BatchNormTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"BatchNorm + Activation function "</span> << i);</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><MultiplicationTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Multiplication + Activation function "</span> << i);</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><AdditionTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Addition + Activation function "</span> << i);</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><SubtractionTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Subtraction + Activation function "</span> << i);</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><DivisionTest<DataType::Float16>, DataType::Float16></div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Division + Activation function "</span> << i);</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  }</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  }</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span> }</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#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9d101c8c305ca51847eabe04df945992"><div class="ttname"><a href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">armnn::FuseActivationSimpleTest</a></div><div class="ttdeci">bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute backendId, float scale=1.f, int32_t offset=0)</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_activation_tests_8cpp_source.xhtml#l00431">FuseActivationTests.cpp:431</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00056">Types.hpp:56</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3fcf4ec3817c98d233041a59ca99e53c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3fcf4ec3817c98d233041a59ca99e53c">◆ </a></span>BOOST_AUTO_TEST_CASE() <span class="overload">[62/62]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_CASE </td> + <td>(</td> + <td class="paramtype">LayerFollowedByActivationQAsymmU8GpuAccTest </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l01133">1133</a> of file <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml">FuseActivationTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_fuse_activation_tests_8cpp_source.xhtml#l00431">armnn::FuseActivationSimpleTest()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::GpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00050">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00052">ActivationDescriptor::m_B</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00048">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> +<div class="fragment"><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> {</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDescriptor;</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span> </div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::Sigmoid;</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  (activationDescriptor, Compute::GpuAcc, 1.f / 256.f, 0)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  (activationDescriptor, Compute::GpuAcc, 1.f / 256.f, 0)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span> </div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::TanH;</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  (activationDescriptor, Compute::GpuAcc, 1.f / 128.f, 128)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  (activationDescriptor, Compute::GpuAcc, 1.f / 128.f, 128)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span> </div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::ReLu;</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span> </div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::BoundedReLu;</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span> </div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = ActivationFunction::HardSwish;</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"Convolution + Activation function "</span> <<</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  BOOST_CHECK_MESSAGE((<a class="code" href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">FuseActivationSimpleTest</a><FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8></div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  (activationDescriptor, Compute::GpuAcc)), <span class="stringliteral">"FullyConnected + Activation function "</span> <<</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  static_cast<int>(activationDescriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>));</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span> }</div><div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00050">Descriptors.hpp:50</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9d101c8c305ca51847eabe04df945992"><div class="ttname"><a href="namespacearmnn.xhtml#a9d101c8c305ca51847eabe04df945992">armnn::FuseActivationSimpleTest</a></div><div class="ttdeci">bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute backendId, float scale=1.f, int32_t offset=0)</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_activation_tests_8cpp_source.xhtml#l00431">FuseActivationTests.cpp:431</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00048">Descriptors.hpp:48</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_9d86fd1fbecbedf5bdb69c7e7235fe5f.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_f1cd0e6da811a659c139424442adfb5f.xhtml">optimizations</a></li><li class="navelem"><a class="el" href="_fuse_activation_tests_8cpp.xhtml">FuseActivationTests.cpp</a></li> + <li class="footer">Generated on Thu Feb 25 2021 17:27:54 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |