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diff --git a/20.02/_batch_to_space_nd_test_impl_8hpp.xhtml b/20.02/_batch_to_space_nd_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..7ade1a7323 --- /dev/null +++ b/20.02/_batch_to_space_nd_test_impl_8hpp.xhtml @@ -0,0 +1,634 @@ +<!-- 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/BatchToSpaceNdTestImpl.hpp File Reference</title> +<link href="tabs.css" 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href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">BatchToSpaceNdTestImpl.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.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="_batch_to_space_nd_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:a5766a02d2acc065eaa6adf4bd515dcbd"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a5766a02d2acc065eaa6adf4bd515dcbd"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a5766a02d2acc065eaa6adf4bd515dcbd">BatchToSpaceNdNhwcTest1</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:a5766a02d2acc065eaa6adf4bd515dcbd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aca8aaef715d0d4b18c08641becf3a7e8"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:aca8aaef715d0d4b18c08641becf3a7e8"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#aca8aaef715d0d4b18c08641becf3a7e8">BatchToSpaceNdNhwcTest2</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:aca8aaef715d0d4b18c08641becf3a7e8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac222455cb8669deb8c93f28ea7ef109a"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:ac222455cb8669deb8c93f28ea7ef109a"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#ac222455cb8669deb8c93f28ea7ef109a">BatchToSpaceNdNhwcTest3</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:ac222455cb8669deb8c93f28ea7ef109a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9945fb5c48fecb7d0609e98c87ec6ad5"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a9945fb5c48fecb7d0609e98c87ec6ad5"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a9945fb5c48fecb7d0609e98c87ec6ad5">BatchToSpaceNdNhwcTest4</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:a9945fb5c48fecb7d0609e98c87ec6ad5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a45f8dc539e9331ca47dd2d6ec44c92e6"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a45f8dc539e9331ca47dd2d6ec44c92e6"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a45f8dc539e9331ca47dd2d6ec44c92e6">BatchToSpaceNdNhwcTest5</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:a45f8dc539e9331ca47dd2d6ec44c92e6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6342b2004b217eb0d2ec2a9306cd743c"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a6342b2004b217eb0d2ec2a9306cd743c"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a6342b2004b217eb0d2ec2a9306cd743c">BatchToSpaceNdNhwcTest6</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:a6342b2004b217eb0d2ec2a9306cd743c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af94eb1e55356e998b63f331356802d93"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:af94eb1e55356e998b63f331356802d93"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#af94eb1e55356e998b63f331356802d93">BatchToSpaceNdNhwcTest7</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:af94eb1e55356e998b63f331356802d93"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a165271263b4942e200709945e3bb33be"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a165271263b4942e200709945e3bb33be"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a165271263b4942e200709945e3bb33be">BatchToSpaceNdNchwTest1</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:a165271263b4942e200709945e3bb33be"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acca2cfa16ec45fd21784087c38a64348"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:acca2cfa16ec45fd21784087c38a64348"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#acca2cfa16ec45fd21784087c38a64348">BatchToSpaceNdNchwTest2</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:acca2cfa16ec45fd21784087c38a64348"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a991e5ed989f6b8171e9d0c30dd493271"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a991e5ed989f6b8171e9d0c30dd493271"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a991e5ed989f6b8171e9d0c30dd493271">BatchToSpaceNdNchwTest3</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:a991e5ed989f6b8171e9d0c30dd493271"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae75d415c280469d41e76370ae8af874b"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:ae75d415c280469d41e76370ae8af874b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#ae75d415c280469d41e76370ae8af874b">BatchToSpaceNdNchwTest4</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:ae75d415c280469d41e76370ae8af874b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a457cfa0045885dcecb6cfe8c14be777f"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a457cfa0045885dcecb6cfe8c14be777f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a457cfa0045885dcecb6cfe8c14be777f">BatchToSpaceNdNchwTest5</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:a457cfa0045885dcecb6cfe8c14be777f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9cf96226764fc0bef5d2a59a99758cd6"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a9cf96226764fc0bef5d2a59a99758cd6"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a9cf96226764fc0bef5d2a59a99758cd6">BatchToSpaceNdNchwTest6</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:a9cf96226764fc0bef5d2a59a99758cd6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3827710219ac619b26223505d33182e3"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a3827710219ac619b26223505d33182e3"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_to_space_nd_test_impl_8hpp.xhtml#a3827710219ac619b26223505d33182e3">BatchToSpaceNdNchwTest7</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:a3827710219ac619b26223505d33182e3"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a165271263b4942e200709945e3bb33be"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a165271263b4942e200709945e3bb33be">◆ </a></span>BatchToSpaceNdNchwTest1()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNchwTest1 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00273">273</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> +<div class="fragment"><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 3, 1, 1};</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 3, 2, 2};</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f});</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  std::vector<float> expectedOutput({</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// Batch 0, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  1.0f, 4.0f,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  7.0f, 10.0f,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// Batch 0, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  2.0f, 5.0f,</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  8.0f, 11.0f,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">// Batch 0, Channel 2, Height (2) x Width (2)</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  3.0f, 6.0f,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  9.0f, 12.0f,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  });</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="acca2cfa16ec45fd21784087c38a64348"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acca2cfa16ec45fd21784087c38a64348">◆ </a></span>BatchToSpaceNdNchwTest2()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNchwTest2 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00305">305</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> +<div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 1, 1, 1};</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 1, 2, 2};</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  std::vector<float> input({</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="comment">// Batch 0, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  });</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f});</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a991e5ed989f6b8171e9d0c30dd493271"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a991e5ed989f6b8171e9d0c30dd493271">◆ </a></span>BatchToSpaceNdNchwTest3()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNchwTest3 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00328">328</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> +<div class="fragment"><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 3, 1, 1};</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 3, 2, 2};</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  std::vector<float> input({1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f});</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  std::vector<float> expectedOutput({</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// Batch 0, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  1.0f, 7.0f,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  2.0f, 8.0f,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// Batch 0, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  3.0f, 9.0f,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  4.0f, 10.0f,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="comment">// Batch 0, Channel 2, Height (2) x Width (2)</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  5.0f, 11.0f,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  6.0f, 12.0f,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  });</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae75d415c280469d41e76370ae8af874b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae75d415c280469d41e76370ae8af874b">◆ </a></span>BatchToSpaceNdNchwTest4()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNchwTest4 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00360">360</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> +<div class="fragment"><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> {</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 3, 1, 1};</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 3, 2, 2};</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>  std::vector<float> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});</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>  std::vector<float> expectedOutput({</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="comment">// Batch 0, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  1, 4,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  7, 10,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="comment">// Batch 0, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  2, 5,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  8, 11,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// Batch 0, Channel 2, Height (2) x Width (2)</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  3, 6,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  9, 12,</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> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a457cfa0045885dcecb6cfe8c14be777f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a457cfa0045885dcecb6cfe8c14be777f">◆ </a></span>BatchToSpaceNdNchwTest5()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNchwTest5 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00392">392</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> +<div class="fragment"><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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 1, 1, 1};</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 1, 2, 2};</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  std::vector<float> input({</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="comment">// Batch 0, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  1, 2, 3, 4</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> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  std::vector<float> expectedOutput({1, 2, 3, 4});</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9cf96226764fc0bef5d2a59a99758cd6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9cf96226764fc0bef5d2a59a99758cd6">◆ </a></span>BatchToSpaceNdNchwTest6()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNchwTest6 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00415">415</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> +<div class="fragment"><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 3, 1, 1};</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 3, 2, 2};</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  std::vector<float> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12});</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  std::vector<float> expectedOutput({</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// Batch 0, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  1, 7,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  2, 8,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="comment">// Batch 0, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  3, 9,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  4, 10,</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="comment">// Batch 0, Channel 2, Height (2) x Width (2)</span></div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  5, 11,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  6, 12,</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> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3827710219ac619b26223505d33182e3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3827710219ac619b26223505d33182e3">◆ </a></span>BatchToSpaceNdNchwTest7()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNchwTest7 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00447">447</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> +<div class="fragment"><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> {</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {8, 1, 1, 3};</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {2, 1, 2, 4};</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  std::vector<float> input({</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  0, 1, 3, 0, 9, 11,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  0, 2, 4, 0, 10, 12,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  0, 5, 7, 0, 13, 15,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  0, 6, 8, 0, 14, 16</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  });</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  std::vector<float> expectedOutput({</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  1, 2, 3, 4,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  5, 6, 7, 8,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  9, 10, 11, 12,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  13, 14, 15, 16</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> </div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}};</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>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a5766a02d2acc065eaa6adf4bd515dcbd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5766a02d2acc065eaa6adf4bd515dcbd">◆ </a></span>BatchToSpaceNdNhwcTest1()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNhwcTest1 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00088">88</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> +<div class="fragment"><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 2, 2, 1};</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 4, 4, 1};</div><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>  std::vector<float> input({</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Batch 0, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  1.0f, 3.0f,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Batch 0, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  9.0f, 11.0f,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </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>  <span class="comment">// Batch 1, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  2.0f, 4.0f,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// Batch 1, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  10.0f, 12.0f,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// Batch 2, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  5.0f, 7.0f,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Batch 2, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  13.0f, 15.0f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Batch 3, Height 0, Width (2) x Channel (3)</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  6.0f, 8.0f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// Batch 3, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  14.0f, 16.0f</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  });</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  std::vector<float> expectedOutput({</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  13.0f, 14.0f, 15.0f, 16.0f</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> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  std::vector<unsigned int> blockShape {2, 2};</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</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>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aca8aaef715d0d4b18c08641becf3a7e8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aca8aaef715d0d4b18c08641becf3a7e8">◆ </a></span>BatchToSpaceNdNhwcTest2()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNhwcTest2 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00135">135</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> +<div class="fragment"><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 1, 1, 1};</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 2, 2, 1};</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::vector<float> input({</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// Batch 0, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  1.0f, 2.0f, 3.0f, 4.0f</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> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f});</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac222455cb8669deb8c93f28ea7ef109a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac222455cb8669deb8c93f28ea7ef109a">◆ </a></span>BatchToSpaceNdNhwcTest3()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNhwcTest3 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00158">158</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> +<div class="fragment"><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="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 1, 1, 3};</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 2, 2, 3};</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f});</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>  std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f});</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9945fb5c48fecb7d0609e98c87ec6ad5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9945fb5c48fecb7d0609e98c87ec6ad5">◆ </a></span>BatchToSpaceNdNhwcTest4()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNhwcTest4 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00178">178</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> +<div class="fragment"><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {8, 1, 3, 1};</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {2, 2, 4, 1};</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::vector<float> input({</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  0.0f, 1.0f, 3.0f,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  0.0f, 9.0f, 11.0f,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  0.0f, 2.0f, 4.0f,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  0.0f, 10.0f, 12.0f,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  0.0f, 5.0f, 7.0f,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  0.0f, 13.0f, 15.0f,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  0.0f, 6.0f, 8.0f,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  0.0f, 14.0f, 16.0f</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> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  std::vector<float> expectedOutput({</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  13.0f, 14.0f, 15.0f, 16.0f</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  });</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>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}};</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a45f8dc539e9331ca47dd2d6ec44c92e6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a45f8dc539e9331ca47dd2d6ec44c92e6">◆ </a></span>BatchToSpaceNdNhwcTest5()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNhwcTest5 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00212">212</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> +<div class="fragment"><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="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 2, 2, 1};</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 4, 4, 1};</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  std::vector<float> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  std::vector<float> expectedOutput({1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16});</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>, inputShape,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  input, blockShape, crops, outputShape, expectedOutput);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6342b2004b217eb0d2ec2a9306cd743c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6342b2004b217eb0d2ec2a9306cd743c">◆ </a></span>BatchToSpaceNdNhwcTest6()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNhwcTest6 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00230">230</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> +<div class="fragment"><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 1, 1, 1};</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 2, 2, 1};</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  std::vector<float> input({</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="comment">// Batch 0, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  1, 2, 3, 4</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  });</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>  std::vector<float> expectedOutput({1, 2, 3, 4});</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af94eb1e55356e998b63f331356802d93"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af94eb1e55356e998b63f331356802d93">◆ </a></span>BatchToSpaceNdNhwcTest7()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchToSpaceNdNhwcTest7 </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="_batch_to_space_nd_test_impl_8hpp_source.xhtml#l00253">253</a> of file <a class="el" href="_batch_to_space_nd_test_impl_8hpp_source.xhtml">BatchToSpaceNdTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> +<div class="fragment"><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4, 1, 1, 3};</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 2, 2, 3};</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  std::vector<float> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  std::vector<float> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  std::vector<unsigned int> blockShape({2, 2});</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">return</span> BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>, inputShape, input, blockShape,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  crops, outputShape, expectedOutput);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_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="_batch_to_space_nd_test_impl_8hpp.xhtml">BatchToSpaceNdTestImpl.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |