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diff --git a/20.02/_arg_min_max_test_impl_8cpp.xhtml b/20.02/_arg_min_max_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..3efb6e13ca --- /dev/null +++ b/20.02/_arg_min_max_test_impl_8cpp.xhtml @@ -0,0 +1,1021 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> 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class="headertitle"> +<div class="title">ArgMinMaxTestImpl.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_arg_min_max_test_impl_8hpp_source.xhtml">ArgMinMaxTestImpl.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_data_type_utils_8hpp_source.xhtml">backendsCommon/test/DataTypeUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br /> +</div> +<p><a href="_arg_min_max_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a6e5d88259b3850369b5a20071011df8d">ArgMaxSimpleTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a6e5d88259b3850369b5a20071011df8d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a1fc3e309bafd760c40cec0e98d995529">ArgMinSimpleTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a1fc3e309bafd760c40cec0e98d995529"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#ad1a3228fc6f2d00c816a6f11ff1092ec">ArgMinChannelTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#abecc0d9c322f12e6318c71e1b2743c4d">ArgMaxChannelTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a90b0a2e001da0237a81ea1ae918d767e">ArgMaxHeightTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a90b0a2e001da0237a81ea1ae918d767e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#aba0c3336ffd8a44dc4ab7d61a32fd5c2">ArgMinWidthTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a83f739c8682a590d267f325fcb2a7bcc"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a83f739c8682a590d267f325fcb2a7bcc">ArgMaxSimpleTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a83f739c8682a590d267f325fcb2a7bcc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa76fff06236f608b605fa832a9680f1a"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#aa76fff06236f608b605fa832a9680f1a">ArgMaxSimpleTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aa76fff06236f608b605fa832a9680f1a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a94c08b1fa1ce8107ee91f69c2eb4b81c"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a94c08b1fa1ce8107ee91f69c2eb4b81c">ArgMaxSimpleTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a94c08b1fa1ce8107ee91f69c2eb4b81c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5d675f1ae3c906798244caa7b76723d5"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a5d675f1ae3c906798244caa7b76723d5">ArgMaxSimpleTest< armnn::DataType::Signed32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a5d675f1ae3c906798244caa7b76723d5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a86cbf8661643946f470c883aa3dc7fb9"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a86cbf8661643946f470c883aa3dc7fb9">ArgMinSimpleTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a86cbf8661643946f470c883aa3dc7fb9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aad96dafae4a2104c1d6a92368d95f2eb"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#aad96dafae4a2104c1d6a92368d95f2eb">ArgMinSimpleTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aad96dafae4a2104c1d6a92368d95f2eb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3f8e621b33a0dc51362bfef698baea05"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a3f8e621b33a0dc51362bfef698baea05">ArgMinSimpleTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a3f8e621b33a0dc51362bfef698baea05"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae53a2ff5016d1bfa956d2555bf8df97f"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#ae53a2ff5016d1bfa956d2555bf8df97f">ArgMinSimpleTest< armnn::DataType::Signed32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ae53a2ff5016d1bfa956d2555bf8df97f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a11b7184416fd10bd21c4d81794dd9293"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a11b7184416fd10bd21c4d81794dd9293">ArgMinChannelTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a11b7184416fd10bd21c4d81794dd9293"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a70412d6c6f4ca34a79cf81f5dd6704f8"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a70412d6c6f4ca34a79cf81f5dd6704f8">ArgMinChannelTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a70412d6c6f4ca34a79cf81f5dd6704f8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2dc1773ab8d1813b0cb7194fc8819c8d"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a2dc1773ab8d1813b0cb7194fc8819c8d">ArgMinChannelTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a2dc1773ab8d1813b0cb7194fc8819c8d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a39db5fc895d7ffb3ba91a4686c57e84b"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a39db5fc895d7ffb3ba91a4686c57e84b">ArgMinChannelTest< armnn::DataType::Signed32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a39db5fc895d7ffb3ba91a4686c57e84b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3e782beb92004f2d5398618466dddf3b"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a3e782beb92004f2d5398618466dddf3b">ArgMaxChannelTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a3e782beb92004f2d5398618466dddf3b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a08459b40725df47a4bfd5ed2d54c6b60"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a08459b40725df47a4bfd5ed2d54c6b60">ArgMaxChannelTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a08459b40725df47a4bfd5ed2d54c6b60"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a782c14444bb09b4f0f5942d139af0c65"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a782c14444bb09b4f0f5942d139af0c65">ArgMaxChannelTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a782c14444bb09b4f0f5942d139af0c65"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a176f1c25f6047ba4e0f0039ae992ccf9"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a176f1c25f6047ba4e0f0039ae992ccf9">ArgMaxChannelTest< armnn::DataType::Signed32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a176f1c25f6047ba4e0f0039ae992ccf9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaad6caa7d1f183e5e2e80205009dfc49"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#aaad6caa7d1f183e5e2e80205009dfc49">ArgMaxHeightTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aaad6caa7d1f183e5e2e80205009dfc49"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afb242e9cc5dad08666c9799bf478bd16"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#afb242e9cc5dad08666c9799bf478bd16">ArgMaxHeightTest< armnn::DataType::Signed32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:afb242e9cc5dad08666c9799bf478bd16"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad145eded1be1779e1550f548338c5e25"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#ad145eded1be1779e1550f548338c5e25">ArgMaxHeightTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ad145eded1be1779e1550f548338c5e25"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad7e8404fb09c1efd0fe512a8f9dd317f"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#ad7e8404fb09c1efd0fe512a8f9dd317f">ArgMinWidthTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ad7e8404fb09c1efd0fe512a8f9dd317f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a825722225a2a96fc5a07e8943cf87fdf"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#a825722225a2a96fc5a07e8943cf87fdf">ArgMinWidthTest< armnn::DataType::Signed32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a825722225a2a96fc5a07e8943cf87fdf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad5ddd14d7760c2476a8c83ee8687f0e9"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8cpp.xhtml#ad5ddd14d7760c2476a8c83ee8687f0e9">ArgMinWidthTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ad5ddd14d7760c2476a8c83ee8687f0e9"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="abecc0d9c322f12e6318c71e1b2743c4d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abecc0d9c322f12e6318c71e1b2743c4d">◆ </a></span>ArgMaxChannelTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> ArgMaxChannelTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00153">153</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> +<div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 2, 4 };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  std::vector<int32_t> outputValues({ 2, 2, 2, 2,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  2, 2, 2, 2 });</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  inputValues, outputValues, 1);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3e782beb92004f2d5398618466dddf3b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3e782beb92004f2d5398618466dddf3b">◆ </a></span>ArgMaxChannelTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#abecc0d9c322f12e6318c71e1b2743c4d">ArgMaxChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a08459b40725df47a4bfd5ed2d54c6b60"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a08459b40725df47a4bfd5ed2d54c6b60">◆ </a></span>ArgMaxChannelTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#abecc0d9c322f12e6318c71e1b2743c4d">ArgMaxChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a782c14444bb09b4f0f5942d139af0c65"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a782c14444bb09b4f0f5942d139af0c65">◆ </a></span>ArgMaxChannelTest< armnn::DataType::QSymmS16 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#abecc0d9c322f12e6318c71e1b2743c4d">ArgMaxChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a176f1c25f6047ba4e0f0039ae992ccf9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a176f1c25f6047ba4e0f0039ae992ccf9">◆ </a></span>ArgMaxChannelTest< armnn::DataType::Signed32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#abecc0d9c322f12e6318c71e1b2743c4d">ArgMaxChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a90b0a2e001da0237a81ea1ae918d767e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a90b0a2e001da0237a81ea1ae918d767e">◆ </a></span>ArgMaxHeightTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> ArgMaxHeightTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00188">188</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> +<div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 3, 4 };</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  std::vector<int32_t> outputValues({ 1, 1, 1, 1,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  1, 1, 1, 1,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  1, 1, 1, 1 });</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  inputValues, outputValues, 2);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aaad6caa7d1f183e5e2e80205009dfc49"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaad6caa7d1f183e5e2e80205009dfc49">◆ </a></span>ArgMaxHeightTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a90b0a2e001da0237a81ea1ae918d767e">ArgMaxHeightTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="ad145eded1be1779e1550f548338c5e25"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad145eded1be1779e1550f548338c5e25">◆ </a></span>ArgMaxHeightTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a90b0a2e001da0237a81ea1ae918d767e">ArgMaxHeightTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="afb242e9cc5dad08666c9799bf478bd16"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afb242e9cc5dad08666c9799bf478bd16">◆ </a></span>ArgMaxHeightTest< armnn::DataType::Signed32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a90b0a2e001da0237a81ea1ae918d767e">ArgMaxHeightTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a6e5d88259b3850369b5a20071011df8d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e5d88259b3850369b5a20071011df8d">◆ </a></span>ArgMaxSimpleTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> ArgMaxSimpleTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00064">64</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> +<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 1, 5 };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 1 };</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  std::vector<int32_t> outputValues({ 3 });</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  inputValues, outputValues, -1); <span class="comment">// axis -1 === 3</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a83f739c8682a590d267f325fcb2a7bcc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a83f739c8682a590d267f325fcb2a7bcc">◆ </a></span>ArgMaxSimpleTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a6e5d88259b3850369b5a20071011df8d">ArgMaxSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="aa76fff06236f608b605fa832a9680f1a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa76fff06236f608b605fa832a9680f1a">◆ </a></span>ArgMaxSimpleTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a6e5d88259b3850369b5a20071011df8d">ArgMaxSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a94c08b1fa1ce8107ee91f69c2eb4b81c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a94c08b1fa1ce8107ee91f69c2eb4b81c">◆ </a></span>ArgMaxSimpleTest< armnn::DataType::QSymmS16 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a6e5d88259b3850369b5a20071011df8d">ArgMaxSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a5d675f1ae3c906798244caa7b76723d5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5d675f1ae3c906798244caa7b76723d5">◆ </a></span>ArgMaxSimpleTest< armnn::DataType::Signed32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a6e5d88259b3850369b5a20071011df8d">ArgMaxSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="ad1a3228fc6f2d00c816a6f11ff1092ec"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad1a3228fc6f2d00c816a6f11ff1092ec">◆ </a></span>ArgMinChannelTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> ArgMinChannelTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00118">118</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> +<div class="fragment"><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 2, 4 };</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  std::vector<int32_t> outputValues({ 0, 0, 0, 0,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  0, 0, 0, 0 });</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  inputValues, outputValues, 1);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a11b7184416fd10bd21c4d81794dd9293"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a11b7184416fd10bd21c4d81794dd9293">◆ </a></span>ArgMinChannelTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#ad1a3228fc6f2d00c816a6f11ff1092ec">ArgMinChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a70412d6c6f4ca34a79cf81f5dd6704f8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a70412d6c6f4ca34a79cf81f5dd6704f8">◆ </a></span>ArgMinChannelTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#ad1a3228fc6f2d00c816a6f11ff1092ec">ArgMinChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a2dc1773ab8d1813b0cb7194fc8819c8d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2dc1773ab8d1813b0cb7194fc8819c8d">◆ </a></span>ArgMinChannelTest< armnn::DataType::QSymmS16 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#ad1a3228fc6f2d00c816a6f11ff1092ec">ArgMinChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a39db5fc895d7ffb3ba91a4686c57e84b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a39db5fc895d7ffb3ba91a4686c57e84b">◆ </a></span>ArgMinChannelTest< armnn::DataType::Signed32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#ad1a3228fc6f2d00c816a6f11ff1092ec">ArgMinChannelTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a1fc3e309bafd760c40cec0e98d995529"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1fc3e309bafd760c40cec0e98d995529">◆ </a></span>ArgMinSimpleTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> ArgMinSimpleTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00091">91</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> +<div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 1, 5 };</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 1 };</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  std::vector<int32_t> outputValues({ 1 });</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  inputValues, outputValues, 3);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a86cbf8661643946f470c883aa3dc7fb9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a86cbf8661643946f470c883aa3dc7fb9">◆ </a></span>ArgMinSimpleTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a1fc3e309bafd760c40cec0e98d995529">ArgMinSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="aad96dafae4a2104c1d6a92368d95f2eb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aad96dafae4a2104c1d6a92368d95f2eb">◆ </a></span>ArgMinSimpleTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a1fc3e309bafd760c40cec0e98d995529">ArgMinSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a3f8e621b33a0dc51362bfef698baea05"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3f8e621b33a0dc51362bfef698baea05">◆ </a></span>ArgMinSimpleTest< armnn::DataType::QSymmS16 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a1fc3e309bafd760c40cec0e98d995529">ArgMinSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="ae53a2ff5016d1bfa956d2555bf8df97f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae53a2ff5016d1bfa956d2555bf8df97f">◆ </a></span>ArgMinSimpleTest< armnn::DataType::Signed32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a1fc3e309bafd760c40cec0e98d995529">ArgMinSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="aba0c3336ffd8a44dc4ab7d61a32fd5c2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aba0c3336ffd8a44dc4ab7d61a32fd5c2">◆ </a></span>ArgMinWidthTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> ArgMinWidthTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00223">223</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> +<div class="fragment"><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 3, 2 };</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  std::vector<int32_t> outputValues({ 0, 0,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  0, 0,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  0, 0 });</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  inputValues, outputValues, 3);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad7e8404fb09c1efd0fe512a8f9dd317f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad7e8404fb09c1efd0fe512a8f9dd317f">◆ </a></span>ArgMinWidthTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#aba0c3336ffd8a44dc4ab7d61a32fd5c2">ArgMinWidthTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="ad5ddd14d7760c2476a8c83ee8687f0e9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad5ddd14d7760c2476a8c83ee8687f0e9">◆ </a></span>ArgMinWidthTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#aba0c3336ffd8a44dc4ab7d61a32fd5c2">ArgMinWidthTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a825722225a2a96fc5a07e8943cf87fdf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a825722225a2a96fc5a07e8943cf87fdf">◆ </a></span>ArgMinWidthTest< armnn::DataType::Signed32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int32_t, 3> <a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#aba0c3336ffd8a44dc4ab7d61a32fd5c2">ArgMinWidthTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" 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