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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
| commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
| tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/_softmax_test_impl_8hpp.xhtml | |
| parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
| download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz | |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/_softmax_test_impl_8hpp.xhtml')
| -rw-r--r-- | 22.02/_softmax_test_impl_8hpp.xhtml | 952 |
1 files changed, 952 insertions, 0 deletions
diff --git a/22.02/_softmax_test_impl_8hpp.xhtml b/22.02/_softmax_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..fdfd827e77 --- /dev/null +++ b/22.02/_softmax_test_impl_8hpp.xhtml @@ -0,0 +1,952 @@ +<!-- 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/SoftmaxTestImpl.hpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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+<div class="title">SoftmaxTestImpl.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include <<a class="el" href="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml">armnnTestUtils/LayerTestResult.hpp</a>></code><br /> +<code>#include <<a class="el" href="_half_8hpp_source.xhtml">Half.hpp</a>></code><br /> +<code>#include <<a class="el" href="_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_2backends_2_workload_factory_8hpp_source.xhtml">armnn/backends/WorkloadFactory.hpp</a>></code><br /> +</div> +<p><a href="_softmax_test_impl_8hpp_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:ad12a99e56904f102b2c35ffc1b3763b7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#ad12a99e56904f102b2c35ffc1b3763b7">SimpleSoftmaxTest</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:ad12a99e56904f102b2c35ffc1b3763b7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:affa90ca9b41133a8490ce6b11e23a4b4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#affa90ca9b41133a8490ce6b11e23a4b4">SimpleAxisSoftmaxTest</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta, int axis)</td></tr> +<tr class="separator:affa90ca9b41133a8490ce6b11e23a4b4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8c2b9d48b1d6a1aeec50187d55b74332"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a8c2b9d48b1d6a1aeec50187d55b74332">Simple3dSoftmaxTest</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:a8c2b9d48b1d6a1aeec50187d55b74332"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6e8a487834d46990b765ca7df57af9f7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a6e8a487834d46990b765ca7df57af9f7">Simple3dAxisSoftmaxTest</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta, int axis)</td></tr> +<tr class="separator:a6e8a487834d46990b765ca7df57af9f7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a412ce1b38b05ddc762a5f104a63299bd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a412ce1b38b05ddc762a5f104a63299bd">Simple4dSoftmaxTest</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:a412ce1b38b05ddc762a5f104a63299bd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a683e68d6893c261c69ac25523a348750"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a683e68d6893c261c69ac25523a348750">Simple4dAxisSoftmaxTest</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta, int axis)</td></tr> +<tr class="separator:a683e68d6893c261c69ac25523a348750"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab2fec938d04d1ae085a4487a961aff34"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#ab2fec938d04d1ae085a4487a961aff34">SimpleSoftmaxUint8Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:ab2fec938d04d1ae085a4487a961aff34"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac8bdec035fd0687ff56316bd5436e17f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#ac8bdec035fd0687ff56316bd5436e17f">Simple3dSoftmaxUint8Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:ac8bdec035fd0687ff56316bd5436e17f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab018dc7df739cf10efe0ecb80a68426d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#ab018dc7df739cf10efe0ecb80a68426d">Simple4dSoftmaxUint8Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:ab018dc7df739cf10efe0ecb80a68426d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a434b38c0f3a12e1bbd7012d16e7bbc94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a434b38c0f3a12e1bbd7012d16e7bbc94">SimpleSoftmaxFloat16Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:a434b38c0f3a12e1bbd7012d16e7bbc94"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a85b85f17da5920b81cd0cb2d3477c234"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a85b85f17da5920b81cd0cb2d3477c234">Simple3dSoftmaxFloat16Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:a85b85f17da5920b81cd0cb2d3477c234"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5edfd63a67aa3ee02b9e52baed58ef7e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a5edfd63a67aa3ee02b9e52baed58ef7e">Simple4dSoftmaxFloat16Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:a5edfd63a67aa3ee02b9e52baed58ef7e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa7d6977cae60f24e609e5d346b0d87c0"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#aa7d6977cae60f24e609e5d346b0d87c0">SimpleSoftmaxUint16Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:aa7d6977cae60f24e609e5d346b0d87c0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afbb6f20378aa4b413ce218692a14faaa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#afbb6f20378aa4b413ce218692a14faaa">Simple3dSoftmaxUint16Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:afbb6f20378aa4b413ce218692a14faaa"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5a4c7e3680cee3bb9b8a00aed371ce74"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a5a4c7e3680cee3bb9b8a00aed371ce74">Simple4dSoftmaxUint16Test</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float beta)</td></tr> +<tr class="separator:a5a4c7e3680cee3bb9b8a00aed371ce74"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a68419c202a13d276d49c4f2fb03646c1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a68419c202a13d276d49c4f2fb03646c1">CompareSoftmaxTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &refTensorHandleFactory, float beta)</td></tr> +<tr class="separator:a68419c202a13d276d49c4f2fb03646c1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a41973d9e7e7582b7a3ce78847923d4ef"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8hpp.xhtml#a41973d9e7e7582b7a3ce78847923d4ef">CompareSoftmaxUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &refTensorHandleFactory, float beta)</td></tr> +<tr class="separator:a41973d9e7e7582b7a3ce78847923d4ef"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a68419c202a13d276d49c4f2fb03646c1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a68419c202a13d276d49c4f2fb03646c1">◆ </a></span>CompareSoftmaxTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 2> CompareSoftmaxTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>refTensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00719">719</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> {</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="keywordflow">return</span> CompareSoftmaxTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  workloadFactory, memoryManager, refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory, beta);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a41973d9e7e7582b7a3ce78847923d4ef"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a41973d9e7e7582b7a3ce78847923d4ef">◆ </a></span>CompareSoftmaxUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 2> CompareSoftmaxUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>refTensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00731">731</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> {</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keywordflow">return</span> CompareSoftmaxTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  workloadFactory, memoryManager, refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory, beta);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6e8a487834d46990b765ca7df57af9f7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e8a487834d46990b765ca7df57af9f7">◆ </a></span>Simple3dAxisSoftmaxTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 3> Simple3dAxisSoftmaxTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>axis</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="_softmax_test_impl_8cpp_source.xhtml#l00346">346</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> {</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  std::vector<float> inputData;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  std::vector<float> outputData;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">switch</span> (axis)</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">case</span> -3:</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  inputShape = {5, 2, 2};</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  inputData =</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  };</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  outputData =</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  {</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  0.236882800924671f,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  0.087144312427294f,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  0.032058600957022f,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  7.246299848982885e-08f</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  };</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">case</span> -2:</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  inputShape = {2, 5, 2};</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  inputData =</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  };</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  outputData =</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  0.087144312427294f,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  0.087144312427294f,</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  7.246299848982885e-08f</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  };</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  }</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">case</span> -1:</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  inputShape = {2, 2, 5};</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  inputData =</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  };</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  outputData =</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  {</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  7.246299848982885e-08f</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  };</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  }</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, beta,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  inputShape, outputData, inputData, axis);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> }</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><!-- fragment --> +</div> +</div> +<a id="a85b85f17da5920b81cd0cb2d3477c234"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a85b85f17da5920b81cd0cb2d3477c234">◆ </a></span>Simple3dSoftmaxFloat16Test()</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><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>,3> Simple3dSoftmaxFloat16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00665">665</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</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>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, beta,</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8c2b9d48b1d6a1aeec50187d55b74332"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8c2b9d48b1d6a1aeec50187d55b74332">◆ </a></span>Simple3dSoftmaxTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 3> Simple3dSoftmaxTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00335">335</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> {</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, beta,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="afbb6f20378aa4b413ce218692a14faaa"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afbb6f20378aa4b413ce218692a14faaa">◆ </a></span>Simple3dSoftmaxUint16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t,3> Simple3dSoftmaxUint16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00696">696</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> {</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, beta,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac8bdec035fd0687ff56316bd5436e17f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac8bdec035fd0687ff56316bd5436e17f">◆ </a></span>Simple3dSoftmaxUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t,3> Simple3dSoftmaxUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00627">627</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00632"></a><span class="lineno"> 632</span> {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  workloadFactory,</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  memoryManager,</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  tensorHandleFactory,</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  beta,</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  data.inputShape,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  data.outputData,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  data.inputData);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a683e68d6893c261c69ac25523a348750"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a683e68d6893c261c69ac25523a348750">◆ </a></span>Simple4dAxisSoftmaxTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> Simple4dAxisSoftmaxTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>axis</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="_softmax_test_impl_8cpp_source.xhtml#l00452">452</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> {</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  std::vector<float> inputData;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  std::vector<float> outputData;</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">switch</span> (axis)</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  {</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">case</span> -4:</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  {</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  inputShape = {5, 2, 2, 2};</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  inputData =</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  17.0f, -1.0f, 17.0f, -1.0f, 17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  16.0f, -2.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  15.0f, -3.0f, 15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 14.0f, -4.0f,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f, 1.0f, -17.0f, 1.0f, -17.0f</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  };</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  outputData =</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  0.643914213228014f,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.236882800924671f,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  0.236882800924671f,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  0.236882800924671f,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  0.236882800924671f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  0.087144312427294f,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  0.087144312427294f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  0.032058600957022f,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  0.032058600957022f, 0.032058600957022f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  0.032058600957022f,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  7.246299848982885e-08f, 7.246299848982885e-08f</div><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>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">case</span> -3:</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  {</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  inputShape = {2, 5, 2, 2};</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  inputData =</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  {</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  };</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  outputData =</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  {</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  0.236882800924671f,</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  0.087144312427294f,</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  0.032058600957022f,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> </div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  0.236882800924671f,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  0.087144312427294f,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  0.032058600957022f,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  7.246299848982885e-08f</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  };</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">break</span>;</div><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>  <span class="keywordflow">case</span> -2:</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  {</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  inputShape = {2, 2, 5, 2};</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>  inputData =</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  {</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  };</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  outputData =</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>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  0.087144312427294f,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  0.087144312427294f,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  0.087144312427294f,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  0.087144312427294f,</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  7.246299848982885e-08f</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>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span> -1:</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">case</span> 3:</div><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>  inputShape = {2, 2, 2, 5};</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  inputData =</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  };</div><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>  outputData =</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> </div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  7.246299848982885e-08f</div><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>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  }</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  workloadFactory,</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  memoryManager,</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  tensorHandleFactory,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  beta,</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  inputShape,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  outputData,</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  inputData,</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  axis);</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span> }</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><!-- fragment --> +</div> +</div> +<a id="a5edfd63a67aa3ee02b9e52baed58ef7e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5edfd63a67aa3ee02b9e52baed58ef7e">◆ </a></span>Simple4dSoftmaxFloat16Test()</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><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>,4> Simple4dSoftmaxFloat16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00676">676</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> {</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, beta,</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a412ce1b38b05ddc762a5f104a63299bd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a412ce1b38b05ddc762a5f104a63299bd">◆ </a></span>Simple4dSoftmaxTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> Simple4dSoftmaxTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00441">441</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> {</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  beta, data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a5a4c7e3680cee3bb9b8a00aed371ce74"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5a4c7e3680cee3bb9b8a00aed371ce74">◆ </a></span>Simple4dSoftmaxUint16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t,4> Simple4dSoftmaxUint16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00707">707</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> {</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> </div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, beta,</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab018dc7df739cf10efe0ecb80a68426d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab018dc7df739cf10efe0ecb80a68426d">◆ </a></span>Simple4dSoftmaxUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t,4> Simple4dSoftmaxUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00644">644</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><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>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, beta,</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="affa90ca9b41133a8490ce6b11e23a4b4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#affa90ca9b41133a8490ce6b11e23a4b4">◆ </a></span>SimpleAxisSoftmaxTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 2> SimpleAxisSoftmaxTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>axis</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="_softmax_test_impl_8cpp_source.xhtml#l00324">324</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> {</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  tensorHandleFactory, beta, axis);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a434b38c0f3a12e1bbd7012d16e7bbc94"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a434b38c0f3a12e1bbd7012d16e7bbc94">◆ </a></span>SimpleSoftmaxFloat16Test()</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><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>,2> SimpleSoftmaxFloat16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00656">656</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> {</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, beta);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad12a99e56904f102b2c35ffc1b3763b7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad12a99e56904f102b2c35ffc1b3763b7">◆ </a></span>SimpleSoftmaxTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 2> SimpleSoftmaxTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00315">315</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, beta);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa7d6977cae60f24e609e5d346b0d87c0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa7d6977cae60f24e609e5d346b0d87c0">◆ </a></span>SimpleSoftmaxUint16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t,2> SimpleSoftmaxUint16Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00687">687</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> {</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, beta);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab2fec938d04d1ae085a4487a961aff34"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab2fec938d04d1ae085a4487a961aff34">◆ </a></span>SimpleSoftmaxUint8Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t, 2> SimpleSoftmaxUint8Test </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>workloadFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.xhtml#l00618">618</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> {</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, beta);</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span> }</div></div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_softmax_test_impl_8hpp.xhtml">SoftmaxTestImpl.hpp</a></li> + <li class="footer">Generated on Wed Mar 9 2022 12:01:06 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> |