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<div class="textblock"><code>#include "<a class="el" href="_batch_mat_mul_test_impl_8hpp_source.xhtml">BatchMatMulTestImpl.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_8hpp_source.xhtml">armnn/backends/Workload.hpp</a>></code><br />
<code>#include <<a class="el" href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml">armnn/backends/WorkloadData.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 />
<code>#include <<a class="el" href="include_2armnn_test_utils_2_workload_test_utils_8hpp_source.xhtml">armnnTestUtils/WorkloadTestUtils.hpp</a>></code><br />
<code>#include <<a class="el" href="_quantize_helper_8hpp_source.xhtml">armnnUtils/QuantizeHelper.hpp</a>></code><br />
<code>#include <<a class="el" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_source.xhtml">armnnTestUtils/TensorCopyUtils.hpp</a>></code><br />
<code>#include <<a class="el" href="_optional_8hpp_source.xhtml">armnn/Optional.hpp</a>></code><br />
</div>
<p><a href="_batch_mat_mul_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p>
<table class="memberdecls">
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Functions</h2></td></tr>
<tr class="memitem:a96b36cc9c55ba2f295119280d5d37378"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T , std::size_t NumDims> </td></tr>
<tr class="memitem:a96b36cc9c55ba2f295119280d5d37378"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, NumDims > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a96b36cc9c55ba2f295119280d5d37378">BatchMatMulTestImpl</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, <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a> descriptor, const std::vector< T > &inputX, const std::vector< T > &inputY, const std::vector< T > &outputExpected, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputXInfo, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputYInfo, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &outputInfo)</td></tr>
<tr class="separator:a96b36cc9c55ba2f295119280d5d37378"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac541d5a0e6bedcfb78afa424019a3fff"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:ac541d5a0e6bedcfb78afa424019a3fff"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 2 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ac541d5a0e6bedcfb78afa424019a3fff">BatchMatMul2DSimpleTest</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)</td></tr>
<tr class="separator:ac541d5a0e6bedcfb78afa424019a3fff"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a89086f933b8afb8eed2e7ea0bfe093bf"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a89086f933b8afb8eed2e7ea0bfe093bf">BatchMatMul2DSimpleTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:a89086f933b8afb8eed2e7ea0bfe093bf"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:abf543cf894055d6faca8279dd5548761"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#abf543cf894055d6faca8279dd5548761">BatchMatMul2DSimpleTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:abf543cf894055d6faca8279dd5548761"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ae025485efe7f6ae38e53ebe6ad638abb"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ae025485efe7f6ae38e53ebe6ad638abb">BatchMatMul2DSimpleTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:ae025485efe7f6ae38e53ebe6ad638abb"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a72b0de6f2ffa6d72b350718f23a7bf92"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a72b0de6f2ffa6d72b350718f23a7bf92">BatchMatMul2DSimpleTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a72b0de6f2ffa6d72b350718f23a7bf92"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aa2eb920e7b1120a687358a697db637a0"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#aa2eb920e7b1120a687358a697db637a0">BatchMatMul2DSimpleTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:aa2eb920e7b1120a687358a697db637a0"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8ae0264bd746ccd1b0f79b06cdd116d2"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a8ae0264bd746ccd1b0f79b06cdd116d2">BatchMatMul2DSimpleTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a8ae0264bd746ccd1b0f79b06cdd116d2"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1c63ad9e2eb15027434c126aa7713db7"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:a1c63ad9e2eb15027434c126aa7713db7"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a1c63ad9e2eb15027434c126aa7713db7">BatchMatMul3DSimpleTest</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)</td></tr>
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<tr class="memitem:a0462ec5e67069c58f226c92ff68808f3"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a0462ec5e67069c58f226c92ff68808f3">BatchMatMul3DSimpleTest< armnn::DataType::BFloat16 ></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)</td></tr>
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<tr class="memitem:a3eb54030757c9ea72572f86419242e23"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a3eb54030757c9ea72572f86419242e23">BatchMatMul3DSimpleTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
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<tr class="memitem:a701b38a60d4382d839dcc33b5086ecbc"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a701b38a60d4382d839dcc33b5086ecbc">BatchMatMul3DSimpleTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:a701b38a60d4382d839dcc33b5086ecbc"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8975d86a95e7c52b91b1b9118e67807a"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a8975d86a95e7c52b91b1b9118e67807a">BatchMatMul3DSimpleTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a8975d86a95e7c52b91b1b9118e67807a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1f0b3bf6132a9ffac1d17c94435bc119"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a1f0b3bf6132a9ffac1d17c94435bc119">BatchMatMul3DSimpleTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a1f0b3bf6132a9ffac1d17c94435bc119"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8bf4ba4df0fbb6b14b991d956076b111"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a8bf4ba4df0fbb6b14b991d956076b111">BatchMatMul3DSimpleTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a8bf4ba4df0fbb6b14b991d956076b111"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a673a64837b30d9687d7208de6bbde3ac"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:a673a64837b30d9687d7208de6bbde3ac"><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_mat_mul_test_impl_8cpp.xhtml#a673a64837b30d9687d7208de6bbde3ac">BatchMatMulNCHWSimpleTest</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)</td></tr>
<tr class="separator:a673a64837b30d9687d7208de6bbde3ac"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac5985e908f50a817c79d46034887546c"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ac5985e908f50a817c79d46034887546c">BatchMatMulNCHWSimpleTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:ac5985e908f50a817c79d46034887546c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a41a89e7a8aa39a12762a7c4e985f3821"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a41a89e7a8aa39a12762a7c4e985f3821">BatchMatMulNCHWSimpleTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a41a89e7a8aa39a12762a7c4e985f3821"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a08a650015a85aec871546348e271297a"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a08a650015a85aec871546348e271297a">BatchMatMulNCHWSimpleTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:a08a650015a85aec871546348e271297a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a08442ec4430c694ce8e6a05ba2bfb86b"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a08442ec4430c694ce8e6a05ba2bfb86b">BatchMatMulNCHWSimpleTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a08442ec4430c694ce8e6a05ba2bfb86b"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a19dce54d85fe2d3cf079217c1bcf223c"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a19dce54d85fe2d3cf079217c1bcf223c">BatchMatMulNCHWSimpleTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a19dce54d85fe2d3cf079217c1bcf223c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8c86706bd7aac8f7e5dd3f281e5cd425"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a8c86706bd7aac8f7e5dd3f281e5cd425">BatchMatMulNCHWSimpleTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a8c86706bd7aac8f7e5dd3f281e5cd425"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:af8b1fb1b21389a3af74692f7a75ba596"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:af8b1fb1b21389a3af74692f7a75ba596"><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_mat_mul_test_impl_8cpp.xhtml#af8b1fb1b21389a3af74692f7a75ba596">BatchMatMulNHWCSimpleTest</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)</td></tr>
<tr class="separator:af8b1fb1b21389a3af74692f7a75ba596"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a9f7f7d77316c371951a2bb9d887a965d"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a9f7f7d77316c371951a2bb9d887a965d">BatchMatMulNHWCSimpleTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:a9f7f7d77316c371951a2bb9d887a965d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a3568c7e65678dec4a74e7eaf8cad2852"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a3568c7e65678dec4a74e7eaf8cad2852">BatchMatMulNHWCSimpleTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a3568c7e65678dec4a74e7eaf8cad2852"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac203ab6dfc3ba20087349ea46870694a"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ac203ab6dfc3ba20087349ea46870694a">BatchMatMulNHWCSimpleTest< armnn::DataType::Float16 ></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)</td></tr>
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<tr class="memitem:aefafa26a7afe124cf87f7f41b74c4bc4"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#aefafa26a7afe124cf87f7f41b74c4bc4">BatchMatMulNHWCSimpleTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
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<tr class="memitem:ace2020e2ef528167208766243747d68e"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ace2020e2ef528167208766243747d68e">BatchMatMulNHWCSimpleTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
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<tr class="memitem:a64f81cea38becd184a88969d067f7b32"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a64f81cea38becd184a88969d067f7b32">BatchMatMulNHWCSimpleTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
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<tr class="memitem:ab8beff22c50eca05a16fc7541332fed6"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:ab8beff22c50eca05a16fc7541332fed6"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ab8beff22c50eca05a16fc7541332fed6">BatchMatMul3DBatchTest</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)</td></tr>
<tr class="separator:ab8beff22c50eca05a16fc7541332fed6"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5837b8b44366d2475f976da44904472f"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a5837b8b44366d2475f976da44904472f">BatchMatMul3DBatchTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:a5837b8b44366d2475f976da44904472f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a742f46e9a2657cc36d96de5402931841"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a742f46e9a2657cc36d96de5402931841">BatchMatMul3DBatchTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
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<tr class="memitem:a2da48bd11c54379a820bd25d307ae04b"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a2da48bd11c54379a820bd25d307ae04b">BatchMatMul3DBatchTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:a2da48bd11c54379a820bd25d307ae04b"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2e5f4bbd4eb4306017708a3dbac09caa"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a2e5f4bbd4eb4306017708a3dbac09caa">BatchMatMul3DBatchTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a2e5f4bbd4eb4306017708a3dbac09caa"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a21286a5ba34fdfa6602cec442a025fa0"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a21286a5ba34fdfa6602cec442a025fa0">BatchMatMul3DBatchTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a21286a5ba34fdfa6602cec442a025fa0"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad43ec4f609252f0d3851bcc90478382e"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ad43ec4f609252f0d3851bcc90478382e">BatchMatMul3DBatchTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
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<tr class="memitem:a57945c7f6c1346b92c0419e2a1cc8341"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:a57945c7f6c1346b92c0419e2a1cc8341"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a57945c7f6c1346b92c0419e2a1cc8341">BatchMatMul3DBroadcastTest</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)</td></tr>
<tr class="separator:a57945c7f6c1346b92c0419e2a1cc8341"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:afa045dda6be3f4e8e106e229e5433735"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#afa045dda6be3f4e8e106e229e5433735">BatchMatMul3DBroadcastTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:afa045dda6be3f4e8e106e229e5433735"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a3f43cd6ae02b9fe31b9857abf99cd6dc"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a3f43cd6ae02b9fe31b9857abf99cd6dc">BatchMatMul3DBroadcastTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a3f43cd6ae02b9fe31b9857abf99cd6dc"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a081e103d5c3a59c11b4a38a89e1f8aed"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a081e103d5c3a59c11b4a38a89e1f8aed">BatchMatMul3DBroadcastTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:a081e103d5c3a59c11b4a38a89e1f8aed"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6e805a3039037a3bd25817ee500c19a8"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a6e805a3039037a3bd25817ee500c19a8">BatchMatMul3DBroadcastTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a6e805a3039037a3bd25817ee500c19a8"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a64b075eede09b681fb4b9005d9d543c4"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a64b075eede09b681fb4b9005d9d543c4">BatchMatMul3DBroadcastTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a64b075eede09b681fb4b9005d9d543c4"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a7a48a5e39ef910c699d3e969fe1c031d"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a7a48a5e39ef910c699d3e969fe1c031d">BatchMatMul3DBroadcastTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a7a48a5e39ef910c699d3e969fe1c031d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a9ab9739499c1072967e974b59a3097ee"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:a9ab9739499c1072967e974b59a3097ee"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a9ab9739499c1072967e974b59a3097ee">BatchMatMul3D2DBroadcastTest</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)</td></tr>
<tr class="separator:a9ab9739499c1072967e974b59a3097ee"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:adb227883cc69f61325c25d0e98e9fac1"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#adb227883cc69f61325c25d0e98e9fac1">BatchMatMul3D2DBroadcastTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:adb227883cc69f61325c25d0e98e9fac1"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a24e891f6dc2dede062ff6c128042147f"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a24e891f6dc2dede062ff6c128042147f">BatchMatMul3D2DBroadcastTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a24e891f6dc2dede062ff6c128042147f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1cea38172548f01d06213fb36ca804d0"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a1cea38172548f01d06213fb36ca804d0">BatchMatMul3D2DBroadcastTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:a1cea38172548f01d06213fb36ca804d0"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2eb987f0d17e5d1e0e1f727cc1fe5e84"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a2eb987f0d17e5d1e0e1f727cc1fe5e84">BatchMatMul3D2DBroadcastTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a2eb987f0d17e5d1e0e1f727cc1fe5e84"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a4cc2146517014e6ea89a4e289c4c5d56"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a4cc2146517014e6ea89a4e289c4c5d56">BatchMatMul3D2DBroadcastTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a4cc2146517014e6ea89a4e289c4c5d56"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a12ced1532d5b0d28e61b856bb745471c"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a12ced1532d5b0d28e61b856bb745471c">BatchMatMul3D2DBroadcastTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a12ced1532d5b0d28e61b856bb745471c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a7c059f34ba2b38ca71163c125c62b3fe"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:a7c059f34ba2b38ca71163c125c62b3fe"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 5 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a7c059f34ba2b38ca71163c125c62b3fe">BatchMatMulNDHWCNHWCTest</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)</td></tr>
<tr class="separator:a7c059f34ba2b38ca71163c125c62b3fe"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ae7292df3b1a02a2b9268deeb7235ecbe"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ae7292df3b1a02a2b9268deeb7235ecbe">BatchMatMulNDHWCNHWCTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:ae7292df3b1a02a2b9268deeb7235ecbe"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a77350bc9ee88246257dc5ea8a4eb89ba"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a77350bc9ee88246257dc5ea8a4eb89ba">BatchMatMulNDHWCNHWCTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a77350bc9ee88246257dc5ea8a4eb89ba"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab46c1ba916cc0e5d42ee2d05bb8be52e"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ab46c1ba916cc0e5d42ee2d05bb8be52e">BatchMatMulNDHWCNHWCTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:ab46c1ba916cc0e5d42ee2d05bb8be52e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a625c01ce1046e834b170360270df59df"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a625c01ce1046e834b170360270df59df">BatchMatMulNDHWCNHWCTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a625c01ce1046e834b170360270df59df"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad914ea93286bdf77abb3ef165d8d8dc1"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ad914ea93286bdf77abb3ef165d8d8dc1">BatchMatMulNDHWCNHWCTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:ad914ea93286bdf77abb3ef165d8d8dc1"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2fe1b31972f9bed4fb6265c555af4fbd"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a2fe1b31972f9bed4fb6265c555af4fbd">BatchMatMulNDHWCNHWCTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a2fe1b31972f9bed4fb6265c555af4fbd"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a58f89edf401027632a20839a95c7c148"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:a58f89edf401027632a20839a95c7c148"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 2 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a58f89edf401027632a20839a95c7c148">BatchMatMul2DTinyTest</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)</td></tr>
<tr class="separator:a58f89edf401027632a20839a95c7c148"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a48ec1a237b7f19b172fb6107bdc31d39"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a48ec1a237b7f19b172fb6107bdc31d39">BatchMatMul2DTinyTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:a48ec1a237b7f19b172fb6107bdc31d39"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a273fe24b3a5cbd23f33f64f94033decc"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a273fe24b3a5cbd23f33f64f94033decc">BatchMatMul2DTinyTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a273fe24b3a5cbd23f33f64f94033decc"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a82662393581e101eeb88b7ff81067071"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a82662393581e101eeb88b7ff81067071">BatchMatMul2DTinyTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:a82662393581e101eeb88b7ff81067071"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad90d0da3235121e8d657d630e6cbde57"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#ad90d0da3235121e8d657d630e6cbde57">BatchMatMul2DTinyTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:ad90d0da3235121e8d657d630e6cbde57"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a02b5602e41d796a48bf7db35f8b1a65c"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a02b5602e41d796a48bf7db35f8b1a65c">BatchMatMul2DTinyTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a02b5602e41d796a48bf7db35f8b1a65c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a0658edc8a5b0f9595edd24b0b05c4a0e"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a0658edc8a5b0f9595edd24b0b05c4a0e">BatchMatMul2DTinyTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a0658edc8a5b0f9595edd24b0b05c4a0e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:afb755eee7624b3d112fbb714284e86d9"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr>
<tr class="memitem:afb755eee7624b3d112fbb714284e86d9"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#afb755eee7624b3d112fbb714284e86d9">BatchMatMul3DNonSquareTest</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)</td></tr>
<tr class="separator:afb755eee7624b3d112fbb714284e86d9"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1753c8f1b0818dcb373970184aa3d894"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a1753c8f1b0818dcb373970184aa3d894">BatchMatMul3DNonSquareTest< armnn::DataType::BFloat16 ></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)</td></tr>
<tr class="separator:a1753c8f1b0818dcb373970184aa3d894"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5507c61ec57124fe90e69e1be351697d"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a5507c61ec57124fe90e69e1be351697d">BatchMatMul3DNonSquareTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a5507c61ec57124fe90e69e1be351697d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2d5f62cd50f592e3466128f4e87594ac"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a2d5f62cd50f592e3466128f4e87594ac">BatchMatMul3DNonSquareTest< armnn::DataType::Float16 ></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)</td></tr>
<tr class="separator:a2d5f62cd50f592e3466128f4e87594ac"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a222c5adce213117685ca2c2c95933acf"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a222c5adce213117685ca2c2c95933acf">BatchMatMul3DNonSquareTest< armnn::DataType::QAsymmS8 ></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)</td></tr>
<tr class="separator:a222c5adce213117685ca2c2c95933acf"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8da726146c21833b959afaadd08b459c"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#a8da726146c21833b959afaadd08b459c">BatchMatMul3DNonSquareTest< armnn::DataType::QAsymmU8 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
<tr class="separator:a8da726146c21833b959afaadd08b459c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:af396207be9445950eb1d466af0095c59"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> >, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_batch_mat_mul_test_impl_8cpp.xhtml#af396207be9445950eb1d466af0095c59">BatchMatMul3DNonSquareTest< armnn::DataType::QSymmS16 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr>
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<h2 class="groupheader">Function Documentation</h2>
<a id="ac541d5a0e6bedcfb78afa424019a3fff"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac541d5a0e6bedcfb78afa424019a3fff">◆ </a></span>BatchMatMul2DSimpleTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 2> BatchMatMul2DSimpleTest </td>
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<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>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00067">67</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(); <span class="comment">// Arbitrary layout with no transpose/adjointing</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  int32_t qOffset = 0;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">switch</span>(ArmnnType)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  qScale = 1.0f;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({2,2}, ArmnnType, qScale, qOffset);</div><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>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  1, 2,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  3, 4</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }, qScale, qOffset);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  5, 6,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  7, 8</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }, qScale, qOffset);</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>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  19, 22,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  43, 50</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }, qScale, qOffset);</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>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  memoryManager,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  tensorHandleFactory,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  descriptor,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  inputX,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  inputY,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  outputExpected,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  inputXInfo,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  inputYInfo,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  outputInfo);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a89086f933b8afb8eed2e7ea0bfe093bf">◆ </a></span>BatchMatMul2DSimpleTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ac541d5a0e6bedcfb78afa424019a3fff">BatchMatMul2DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
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<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>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ae025485efe7f6ae38e53ebe6ad638abb">◆ </a></span>BatchMatMul2DSimpleTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ac541d5a0e6bedcfb78afa424019a3fff">BatchMatMul2DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#abf543cf894055d6faca8279dd5548761">◆ </a></span>BatchMatMul2DSimpleTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ac541d5a0e6bedcfb78afa424019a3fff">BatchMatMul2DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a72b0de6f2ffa6d72b350718f23a7bf92">◆ </a></span>BatchMatMul2DSimpleTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ac541d5a0e6bedcfb78afa424019a3fff">BatchMatMul2DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#aa2eb920e7b1120a687358a697db637a0">◆ </a></span>BatchMatMul2DSimpleTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ac541d5a0e6bedcfb78afa424019a3fff">BatchMatMul2DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a8ae0264bd746ccd1b0f79b06cdd116d2">◆ </a></span>BatchMatMul2DSimpleTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ac541d5a0e6bedcfb78afa424019a3fff">BatchMatMul2DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a58f89edf401027632a20839a95c7c148">◆ </a></span>BatchMatMul2DTinyTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 2> BatchMatMul2DTinyTest </td>
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<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00815">815</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00819"></a><span class="lineno"> 819</span> {</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(); <span class="comment">// Arbitrary layout with no transpose/adjointing</span></div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span> </div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  int32_t qOffset = 0;</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span> </div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <span class="keywordflow">switch</span>(ArmnnType)</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  {</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  qScale = 1.0f;</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  }</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span> </div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({1,1}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({1,1}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({1,1}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span> </div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  3</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  }, qScale, qOffset);</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span> </div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  5</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  }, qScale, qOffset);</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> </div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  15</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  }, qScale, qOffset);</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> </div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory,</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  memoryManager,</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  tensorHandleFactory,</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  descriptor,</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  inputX,</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  inputY,</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  outputExpected,</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  inputXInfo,</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  inputYInfo,</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  outputInfo);</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a48ec1a237b7f19b172fb6107bdc31d39">◆ </a></span>BatchMatMul2DTinyTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a58f89edf401027632a20839a95c7c148">BatchMatMul2DTinyTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a82662393581e101eeb88b7ff81067071">◆ </a></span>BatchMatMul2DTinyTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a58f89edf401027632a20839a95c7c148">BatchMatMul2DTinyTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a273fe24b3a5cbd23f33f64f94033decc">◆ </a></span>BatchMatMul2DTinyTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a58f89edf401027632a20839a95c7c148">BatchMatMul2DTinyTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ad90d0da3235121e8d657d630e6cbde57">◆ </a></span>BatchMatMul2DTinyTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a58f89edf401027632a20839a95c7c148">BatchMatMul2DTinyTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a02b5602e41d796a48bf7db35f8b1a65c">◆ </a></span>BatchMatMul2DTinyTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a58f89edf401027632a20839a95c7c148">BatchMatMul2DTinyTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a0658edc8a5b0f9595edd24b0b05c4a0e">◆ </a></span>BatchMatMul2DTinyTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 2> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a58f89edf401027632a20839a95c7c148">BatchMatMul2DTinyTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a9ab9739499c1072967e974b59a3097ee">◆ </a></span>BatchMatMul3D2DBroadcastTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 3> BatchMatMul3D2DBroadcastTest </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>
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<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>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00620">620</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(); <span class="comment">// Arbitrary layout with no transpose/adjointing</span></div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> </div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  int32_t qOffset = 0;</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> </div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">switch</span>(ArmnnType)</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  {</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  qScale = 1.0f;</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  }</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  1, 2,</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  3, 4,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  9, 10,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  11, 12</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  }, qScale, qOffset);</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> </div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  13, 14,</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  15, 16</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  }, qScale, qOffset);</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  43, 46,</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  99, 106,</div><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>  267, 286,</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  323, 346</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  },qScale, qOffset);</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> </div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  memoryManager,</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  tensorHandleFactory,</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  descriptor,</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  inputX,</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  inputY,</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  outputExpected,</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  inputXInfo,</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  inputYInfo,</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  outputInfo);</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#adb227883cc69f61325c25d0e98e9fac1">◆ </a></span>BatchMatMul3D2DBroadcastTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a9ab9739499c1072967e974b59a3097ee">BatchMatMul3D2DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a1cea38172548f01d06213fb36ca804d0">◆ </a></span>BatchMatMul3D2DBroadcastTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a9ab9739499c1072967e974b59a3097ee">BatchMatMul3D2DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a24e891f6dc2dede062ff6c128042147f">◆ </a></span>BatchMatMul3D2DBroadcastTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a9ab9739499c1072967e974b59a3097ee">BatchMatMul3D2DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a2eb987f0d17e5d1e0e1f727cc1fe5e84">◆ </a></span>BatchMatMul3D2DBroadcastTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a9ab9739499c1072967e974b59a3097ee">BatchMatMul3D2DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a4cc2146517014e6ea89a4e289c4c5d56">◆ </a></span>BatchMatMul3D2DBroadcastTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a9ab9739499c1072967e974b59a3097ee">BatchMatMul3D2DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a12ced1532d5b0d28e61b856bb745471c">◆ </a></span>BatchMatMul3D2DBroadcastTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a9ab9739499c1072967e974b59a3097ee">BatchMatMul3D2DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ab8beff22c50eca05a16fc7541332fed6">◆ </a></span>BatchMatMul3DBatchTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 3> BatchMatMul3DBatchTest </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>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00427">427</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> {</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(); <span class="comment">// Arbitrary layout with no transpose/adjointing</span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  int32_t qOffset = 0;</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">switch</span>(ArmnnType)</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  qScale = 1.0f;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">break</span>;</div><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> </div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  1, 2,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  3, 4,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  9, 10,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  11, 12</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }, qScale, qOffset);</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>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  5, 6,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  7, 8,</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>  13, 14,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  15, 16</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }, qScale, qOffset);</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<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  19, 22,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  43, 50,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  267, 286,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  323, 346</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  },qScale, qOffset);</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>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  memoryManager,</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  tensorHandleFactory,</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  descriptor,</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  inputX,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  inputY,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  outputExpected,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  inputXInfo,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  inputYInfo,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  outputInfo);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a5837b8b44366d2475f976da44904472f">◆ </a></span>BatchMatMul3DBatchTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ab8beff22c50eca05a16fc7541332fed6">BatchMatMul3DBatchTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a2da48bd11c54379a820bd25d307ae04b">◆ </a></span>BatchMatMul3DBatchTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ab8beff22c50eca05a16fc7541332fed6">BatchMatMul3DBatchTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a742f46e9a2657cc36d96de5402931841">◆ </a></span>BatchMatMul3DBatchTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ab8beff22c50eca05a16fc7541332fed6">BatchMatMul3DBatchTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a2e5f4bbd4eb4306017708a3dbac09caa">◆ </a></span>BatchMatMul3DBatchTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ab8beff22c50eca05a16fc7541332fed6">BatchMatMul3DBatchTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a21286a5ba34fdfa6602cec442a025fa0">◆ </a></span>BatchMatMul3DBatchTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ab8beff22c50eca05a16fc7541332fed6">BatchMatMul3DBatchTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ad43ec4f609252f0d3851bcc90478382e">◆ </a></span>BatchMatMul3DBatchTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#ab8beff22c50eca05a16fc7541332fed6">BatchMatMul3DBatchTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a57945c7f6c1346b92c0419e2a1cc8341">◆ </a></span>BatchMatMul3DBroadcastTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 3> BatchMatMul3DBroadcastTest </td>
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<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>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00525">525</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> {</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(); <span class="comment">// Arbitrary layout with no transpose/adjointing</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  int32_t qOffset = 0;</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">switch</span>(ArmnnType)</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  qScale = 1.0f;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  }</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({1,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({2,2,2}, ArmnnType, qScale, qOffset);</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>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  1, 2,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  3, 4,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  9, 10,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  11, 12</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  }, qScale, qOffset);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  13, 14,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  15, 16</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }, qScale, qOffset);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  43, 46,</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  99, 106,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  267, 286,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  323, 346</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  },qScale, qOffset);</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  memoryManager,</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  tensorHandleFactory,</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  descriptor,</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  inputX,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  inputY,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  outputExpected,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  inputXInfo,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  inputYInfo,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  outputInfo);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#afa045dda6be3f4e8e106e229e5433735">◆ </a></span>BatchMatMul3DBroadcastTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a57945c7f6c1346b92c0419e2a1cc8341">BatchMatMul3DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a081e103d5c3a59c11b4a38a89e1f8aed">◆ </a></span>BatchMatMul3DBroadcastTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a57945c7f6c1346b92c0419e2a1cc8341">BatchMatMul3DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a3f43cd6ae02b9fe31b9857abf99cd6dc">◆ </a></span>BatchMatMul3DBroadcastTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a57945c7f6c1346b92c0419e2a1cc8341">BatchMatMul3DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a6e805a3039037a3bd25817ee500c19a8">◆ </a></span>BatchMatMul3DBroadcastTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a57945c7f6c1346b92c0419e2a1cc8341">BatchMatMul3DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a64b075eede09b681fb4b9005d9d543c4">◆ </a></span>BatchMatMul3DBroadcastTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a57945c7f6c1346b92c0419e2a1cc8341">BatchMatMul3DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a7a48a5e39ef910c699d3e969fe1c031d">◆ </a></span>BatchMatMul3DBroadcastTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a57945c7f6c1346b92c0419e2a1cc8341">BatchMatMul3DBroadcastTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#afb755eee7624b3d112fbb714284e86d9">◆ </a></span>BatchMatMul3DNonSquareTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 3> BatchMatMul3DNonSquareTest </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00901">901</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00905"></a><span class="lineno"> 905</span> {</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(); <span class="comment">// Arbitrary layout with no transpose/adjointing</span></div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span> </div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  int32_t qOffset = 0;</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> </div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keywordflow">switch</span>(ArmnnType)</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  {</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  qScale = 1.0f;</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  }</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span> </div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({2,5,3}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({2,3,4}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({2,5,4}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span> </div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  8, 8, 4,</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  6, 1, 3,</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  8, 8, 3,</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  8, 9, 8,</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  5, 4, 4,</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span> </div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  1, 8, 5,</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  7, 1, 1,</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  8, 7, 9,</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  3, 2, 7,</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  8, 5, 3</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  }, qScale, qOffset);</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span> </div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  6, 2, 3, 2,</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  6, 2, 2, 8,</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  3, 7, 8, 1,</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> </div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  7, 2, 9, 5,</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  2, 3, 1, 3,</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  2, 7, 7, 5</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  }, qScale, qOffset);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> </div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  108, 60, 72, 84,</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  51, 35, 44, 23,</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  105, 53, 64, 83,</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  126, 90, 106, 96,</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  66, 46, 55, 46,</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span> </div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  33, 61, 52, 54,</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  53, 24, 71, 43,</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  88, 100, 142, 106,</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  39, 61, 78, 56,</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  72, 52, 98, 70</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  },qScale, qOffset);</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span> </div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  memoryManager,</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  tensorHandleFactory,</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  descriptor,</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  inputX,</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  inputY,</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  outputExpected,</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  inputXInfo,</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  inputYInfo,</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  outputInfo);</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a1753c8f1b0818dcb373970184aa3d894">◆ </a></span>BatchMatMul3DNonSquareTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#afb755eee7624b3d112fbb714284e86d9">BatchMatMul3DNonSquareTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a2d5f62cd50f592e3466128f4e87594ac">◆ </a></span>BatchMatMul3DNonSquareTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#afb755eee7624b3d112fbb714284e86d9">BatchMatMul3DNonSquareTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a5507c61ec57124fe90e69e1be351697d">◆ </a></span>BatchMatMul3DNonSquareTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#afb755eee7624b3d112fbb714284e86d9">BatchMatMul3DNonSquareTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a222c5adce213117685ca2c2c95933acf">◆ </a></span>BatchMatMul3DNonSquareTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#afb755eee7624b3d112fbb714284e86d9">BatchMatMul3DNonSquareTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a8da726146c21833b959afaadd08b459c">◆ </a></span>BatchMatMul3DNonSquareTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#afb755eee7624b3d112fbb714284e86d9">BatchMatMul3DNonSquareTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#af396207be9445950eb1d466af0095c59">◆ </a></span>BatchMatMul3DNonSquareTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#afb755eee7624b3d112fbb714284e86d9">BatchMatMul3DNonSquareTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a1c63ad9e2eb15027434c126aa7713db7">◆ </a></span>BatchMatMul3DSimpleTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 3> BatchMatMul3DSimpleTest </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>
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<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>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00156">156</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(); <span class="comment">// Arbitrary layout with no transpose/adjointing</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  int32_t qOffset = 0;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">switch</span>(ArmnnType)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  qScale = 1.0f;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  }</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({1,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({1,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({1,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  1, 2,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  3, 4</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }, qScale, qOffset);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  5, 6,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  7, 8</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }, qScale, qOffset);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  19, 22,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  43, 50</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  },qScale, qOffset);</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>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  memoryManager,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  tensorHandleFactory,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  descriptor,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  inputX,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  inputY,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  outputExpected,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  inputXInfo,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  inputYInfo,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  outputInfo);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a0462ec5e67069c58f226c92ff68808f3">◆ </a></span>BatchMatMul3DSimpleTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a1c63ad9e2eb15027434c126aa7713db7">BatchMatMul3DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a701b38a60d4382d839dcc33b5086ecbc">◆ </a></span>BatchMatMul3DSimpleTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a1c63ad9e2eb15027434c126aa7713db7">BatchMatMul3DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a3eb54030757c9ea72572f86419242e23">◆ </a></span>BatchMatMul3DSimpleTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a1c63ad9e2eb15027434c126aa7713db7">BatchMatMul3DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a8975d86a95e7c52b91b1b9118e67807a">◆ </a></span>BatchMatMul3DSimpleTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a1c63ad9e2eb15027434c126aa7713db7">BatchMatMul3DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a1f0b3bf6132a9ffac1d17c94435bc119">◆ </a></span>BatchMatMul3DSimpleTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a1c63ad9e2eb15027434c126aa7713db7">BatchMatMul3DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a8bf4ba4df0fbb6b14b991d956076b111">◆ </a></span>BatchMatMul3DSimpleTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 3> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a1c63ad9e2eb15027434c126aa7713db7">BatchMatMul3DSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a673a64837b30d9687d7208de6bbde3ac">◆ </a></span>BatchMatMulNCHWSimpleTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchMatMulNCHWSimpleTest </td>
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<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>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00245">245</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::DataLayout></a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>),</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::DataLayout></a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>));</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  int32_t qOffset = 0;</div><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="keywordflow">switch</span>(ArmnnType)</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  qScale = 1.0f;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">break</span>;</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> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({1,1,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({1,1,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({1,1,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  1, 2,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  3, 4</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }, qScale, qOffset);</div><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>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  5, 6,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  7, 8</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }, qScale, qOffset);</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<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  19, 22,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  43, 50</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  },qScale, qOffset);</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="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory,</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  memoryManager,</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  tensorHandleFactory,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  descriptor,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  inputX,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  inputY,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  outputExpected,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  inputXInfo,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  inputYInfo,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  outputInfo);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> }</div><div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ac5985e908f50a817c79d46034887546c">◆ </a></span>BatchMatMulNCHWSimpleTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a673a64837b30d9687d7208de6bbde3ac">BatchMatMulNCHWSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a08a650015a85aec871546348e271297a">◆ </a></span>BatchMatMulNCHWSimpleTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a673a64837b30d9687d7208de6bbde3ac">BatchMatMulNCHWSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a41a89e7a8aa39a12762a7c4e985f3821">◆ </a></span>BatchMatMulNCHWSimpleTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a673a64837b30d9687d7208de6bbde3ac">BatchMatMulNCHWSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a08442ec4430c694ce8e6a05ba2bfb86b">◆ </a></span>BatchMatMulNCHWSimpleTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a673a64837b30d9687d7208de6bbde3ac">BatchMatMulNCHWSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a19dce54d85fe2d3cf079217c1bcf223c">◆ </a></span>BatchMatMulNCHWSimpleTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a673a64837b30d9687d7208de6bbde3ac">BatchMatMulNCHWSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a8c86706bd7aac8f7e5dd3f281e5cd425">◆ </a></span>BatchMatMulNCHWSimpleTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a673a64837b30d9687d7208de6bbde3ac">BatchMatMulNCHWSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a7c059f34ba2b38ca71163c125c62b3fe">◆ </a></span>BatchMatMulNDHWCNHWCTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 5> BatchMatMulNDHWCNHWCTest </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>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00715">715</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::NDHWC</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> {</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::DataLayout></a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a>),</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::DataLayout></a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>));</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  int32_t qOffset = 0;</div><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">switch</span>(ArmnnType)</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  {</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  qScale = 1.0f;</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  }</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({1,2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> </div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  1, 20,</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  3, 22,</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> </div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  2, 21,</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  4, 23</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  }, qScale, qOffset);</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> </div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  5, 24,</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  7, 26,</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> </div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  6, 25,</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  8, 27</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  }, qScale, qOffset);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span> </div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  23, 1030,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  31, 1114,</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> </div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  34, 1079,</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  46, 1167</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  },qScale, qOffset);</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> </div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 5>(workloadFactory,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  memoryManager,</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  tensorHandleFactory,</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  descriptor,</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  inputX,</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  inputY,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  outputExpected,</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  inputXInfo,</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  inputYInfo,</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  outputInfo);</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> }</div><div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ae7292df3b1a02a2b9268deeb7235ecbe">◆ </a></span>BatchMatMulNDHWCNHWCTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 5> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a7c059f34ba2b38ca71163c125c62b3fe">BatchMatMulNDHWCNHWCTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ab46c1ba916cc0e5d42ee2d05bb8be52e">◆ </a></span>BatchMatMulNDHWCNHWCTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 5> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a7c059f34ba2b38ca71163c125c62b3fe">BatchMatMulNDHWCNHWCTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a77350bc9ee88246257dc5ea8a4eb89ba">◆ </a></span>BatchMatMulNDHWCNHWCTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 5> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a7c059f34ba2b38ca71163c125c62b3fe">BatchMatMulNDHWCNHWCTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a625c01ce1046e834b170360270df59df">◆ </a></span>BatchMatMulNDHWCNHWCTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 5> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a7c059f34ba2b38ca71163c125c62b3fe">BatchMatMulNDHWCNHWCTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ad914ea93286bdf77abb3ef165d8d8dc1">◆ </a></span>BatchMatMulNDHWCNHWCTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 5> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a7c059f34ba2b38ca71163c125c62b3fe">BatchMatMulNDHWCNHWCTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a2fe1b31972f9bed4fb6265c555af4fbd">◆ </a></span>BatchMatMulNDHWCNHWCTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 5> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#a7c059f34ba2b38ca71163c125c62b3fe">BatchMatMulNDHWCNHWCTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#af8b1fb1b21389a3af74692f7a75ba596">◆ </a></span>BatchMatMulNHWCSimpleTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> BatchMatMulNHWCSimpleTest </td>
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<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>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00336">336</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</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>  <span class="keyword">auto</span> descriptor = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a>(</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::DataLayout></a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>),</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::DataLayout></a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordtype">float</span> qScale = 0.0f;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  int32_t qOffset = 0;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">switch</span>(ArmnnType)</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  qScale = 1.0f;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">break</span>;</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> </div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputXInfo({1,2,2,1}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputYInfo({1,2,2,1}, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({1,2,2,1}, ArmnnType, qScale, qOffset);</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>  std::vector<T> inputX = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  1, 2,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  3, 4</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  }, qScale, qOffset);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  std::vector<T> inputY = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  5, 6,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  7, 8</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }, qScale, qOffset);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  19, 22,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  43, 50</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  },qScale, qOffset);</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="keywordflow">return</span> BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  memoryManager,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  tensorHandleFactory,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  descriptor,</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  inputX,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  inputY,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  outputExpected,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  inputXInfo,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  inputYInfo,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  outputInfo);</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> }</div><div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a9f7f7d77316c371951a2bb9d887a965d">◆ </a></span>BatchMatMulNHWCSimpleTest< armnn::DataType::BFloat16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#af8b1fb1b21389a3af74692f7a75ba596">BatchMatMulNHWCSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<td class="paramkey"></td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ac203ab6dfc3ba20087349ea46870694a">◆ </a></span>BatchMatMulNHWCSimpleTest< armnn::DataType::Float16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#af8b1fb1b21389a3af74692f7a75ba596">BatchMatMulNHWCSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a3568c7e65678dec4a74e7eaf8cad2852">◆ </a></span>BatchMatMulNHWCSimpleTest< armnn::DataType::Float32 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#af8b1fb1b21389a3af74692f7a75ba596">BatchMatMulNHWCSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<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>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#aefafa26a7afe124cf87f7f41b74c4bc4">◆ </a></span>BatchMatMulNHWCSimpleTest< armnn::DataType::QAsymmS8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#af8b1fb1b21389a3af74692f7a75ba596">BatchMatMulNHWCSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#ace2020e2ef528167208766243747d68e">◆ </a></span>BatchMatMulNHWCSimpleTest< armnn::DataType::QAsymmU8 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#af8b1fb1b21389a3af74692f7a75ba596">BatchMatMulNHWCSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a64f81cea38becd184a88969d067f7b32">◆ </a></span>BatchMatMulNHWCSimpleTest< armnn::DataType::QSymmS16 >()</h2>
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<td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>>, 4> <a class="el" href="_batch_mat_mul_test_impl_8hpp.xhtml#af8b1fb1b21389a3af74692f7a75ba596">BatchMatMulNHWCSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> > </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<h2 class="memtitle"><span class="permalink"><a href="#a96b36cc9c55ba2f295119280d5d37378">◆ </a></span>BatchMatMulTestImpl()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, NumDims> BatchMatMulTestImpl </td>
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<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>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
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<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>
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<td class="paramtype"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a> </td>
<td class="paramname"><em>descriptor</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td>
<td class="paramname"><em>outputInfo</em> </td>
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<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml#l00020">20</a> of file <a class="el" href="_batch_mat_mul_test_impl_8cpp_source.xhtml">BatchMatMulTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::BatchMatMul</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01575">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, and <a class="el" href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p>
<div class="fragment"><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  std::vector<T> outputActual(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  std::unique_ptr<armnn::ITensorHandle> inputXHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputXInfo);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::unique_ptr<armnn::ITensorHandle> inputYHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputYInfo);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputInfo);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_queue_descriptor.xhtml">armnn::BatchMatMulQueueDescriptor</a> queueDescriptor;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  queueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = descriptor;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  AddInputToWorkload(queueDescriptor, workloadInfo, inputXInfo, inputXHandle.get());</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  AddInputToWorkload(queueDescriptor, workloadInfo, inputYInfo, inputYHandle.get());</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get());</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">auto</span> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a>, queueDescriptor, workloadInfo);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  inputXHandle->Allocate();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  inputYHandle->Allocate();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  outputHandle->Allocate();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputXHandle.get(), inputX.data());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputYHandle.get(), inputY.data());</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(outputActual.data(), outputHandle.get());</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, NumDims></a>(outputActual,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  outputExpected,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  outputHandle->GetShape(),</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ab5dfed8358e500ed523d78090ec78e88"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *mem, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div></div>
<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_queue_descriptor.xhtml">armnn::BatchMatMulQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00788">WorkloadData.hpp:788</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a13060ebb89d2c21a7a5d897e99cccf72"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01575">WorkloadFactory.cpp:1575</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div>
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