295 lines
15 KiB
C++
295 lines
15 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h"
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#include "src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/CL/Helper.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/GEMMLowpFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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using namespace arm_compute::misc::shape_calculator;
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// Create function for CLGEMMReshapeRHSMatrixKernel
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using CLGEMMReshapeRHSMatrix = CLSynthetizeFunction<CLGEMMReshapeRHSMatrixKernel>;
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// Create function for CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel
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using CLGEMMLowpMatrixMultiplyReshapedOnlyRHS = CLSynthetizeFunction<CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel>;
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// Fixture for CLGEMMLowpMatrixMultiplyReshapedOnlyRHS
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using CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture = GEMMLowpMatrixMultiplyReshapedOnlyRHSValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeRHSMatrix, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS>;
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// Fixture for CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3D
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using CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture =
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GEMMLowpMatrixMultiplyReshapedOnlyRHS3DValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeRHSMatrix, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS>;
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namespace
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{
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// *INDENT-OFF*
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// clang-format off
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/** M values to test */
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const auto m_values = framework::dataset::make("M", 37);
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/** M_W values to test */
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const auto m_w_values = framework::dataset::make("M_W", 5);
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/** M_H values to test */
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const auto m_h_values = framework::dataset::make("M_H", 7);
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/** N values to test */
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const auto n_values = framework::dataset::make("N", 51);
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/** K values to test */
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const auto k_values = framework::dataset::make("K", 23);
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/** Batch size values to test */
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const auto b_values = framework::dataset::make("batch_size", 1, 3);
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/** M0 values to test - Precommit */
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const auto m0_values_precommit_1 = framework::dataset::make("M0", {4});
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const auto m0_values_precommit_2 = framework::dataset::make("M0", {6});
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/** N0 values to test - Precommit */
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const auto n0_values_precommit = framework::dataset::make("N0", { 4 });
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/** K0 values to test - Precommit */
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const auto k0_values_precommit = framework::dataset::make("K0", { 16 });
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/** H0 values to test - Precommit */
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const auto h0_values_precommit = framework::dataset::make("H0", 1, 3);
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/** M0 values to test - Nightly */
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const auto m0_values_nightly = framework::dataset::make("M0", 2, 8);
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/** N0 values to test - Nightly */
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const auto n0_values_nightly = framework::dataset::make("N0", { 2, 3, 4, 8 });
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/** K0 values to test - Nightly */
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const auto k0_values_nightly = framework::dataset::make("K0", { 2, 3, 4, 8, 16 });
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/** H0 values to test - Nightly */
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const auto h0_values_nightly = framework::dataset::make("H0", 1, 4);
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/** Interleave values to test with RHS matrix */
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const auto i_values_rhs = framework::dataset::make("interleave_rhs", { true, false });
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/** Transpose values to test with RHS matrix */
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const auto t_values_rhs = framework::dataset::make("transpose_rhs", { true });
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/** Configuration test */
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void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned int k_value, unsigned int b_value, unsigned int m0_value, unsigned int n0_value, unsigned int k0_value, unsigned int h0_value, bool i_value_rhs)
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{
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const unsigned int M = m_value;
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const unsigned int N = n_value;
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const unsigned int K = k_value;
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GEMMLHSMatrixInfo lhs_info;
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lhs_info.m0 = m0_value;
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lhs_info.k0 = k0_value;
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GEMMRHSMatrixInfo rhs_info;
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rhs_info.n0 = n0_value;
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rhs_info.k0 = k0_value;
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rhs_info.h0 = h0_value;
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rhs_info.interleave = i_value_rhs;
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rhs_info.transpose = true;
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GEMMKernelInfo gemm_info;
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gemm_info.m = M;
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gemm_info.n = N;
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gemm_info.k = K;
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gemm_info.lhs_info = lhs_info;
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gemm_info.rhs_info = rhs_info;
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const TensorShape lhs_shape(K, M, b_value);
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const TensorShape rhs_shape(N, K, b_value);
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const TensorShape rhs_shape_reshaped = compute_rhs_reshaped_shape(TensorInfo(rhs_shape, 1, DataType::QASYMM8),
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rhs_info);
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const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape, 1, DataType::QASYMM8),
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TensorInfo(rhs_shape_reshaped, 1, DataType::QASYMM8),
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gemm_info);
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// Create tensors
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CLTensor lhs = create_tensor<CLTensor>(lhs_shape, DataType::QASYMM8);
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CLTensor rhs_reshaped = create_tensor<CLTensor>(rhs_shape_reshaped, DataType::QASYMM8);
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CLTensor dst = create_tensor<CLTensor>(dst_shape, DataType::S32);
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ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Create and configure function
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CLGEMMLowpMatrixMultiplyReshapedOnlyRHS gemm;
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gemm.configure(&lhs, &rhs_reshaped, &dst, gemm_info);
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}
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(GEMMLowpMatrixMultiplyReshapedOnlyRHS)
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DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(
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m_values,
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n_values),
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k_values),
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framework::dataset::make("batch_size", 1)),
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m0_values_precommit_1),
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n0_values_precommit),
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k0_values_precommit),
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h0_values_precommit),
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i_values_rhs),
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m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs)
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{
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validate_configuration(m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall_1, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_values,
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n_values),
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k_values),
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b_values),
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m0_values_precommit_1),
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n0_values_precommit),
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k0_values_precommit),
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h0_values_precommit),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("DataType", { DataType::QASYMM8 })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall_2, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_values,
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n_values),
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k_values),
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b_values),
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m0_values_precommit_2),
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n0_values_precommit),
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k0_values_precommit),
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h0_values_precommit),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::DISABLED,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_values,
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n_values),
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k_values),
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b_values),
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m0_values_nightly),
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n0_values_nightly),
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k0_values_nightly),
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h0_values_nightly),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("DataType", { DataType::QASYMM8 })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall3D_1, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_w_values,
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m_h_values),
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n_values),
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k_values),
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b_values),
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m0_values_precommit_1),
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n0_values_precommit),
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k0_values_precommit),
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h0_values_precommit),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("DataType", { DataType::QASYMM8 })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall3D_2, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_w_values,
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m_h_values),
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n_values),
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k_values),
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b_values),
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m0_values_precommit_2),
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n0_values_precommit),
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k0_values_precommit),
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h0_values_precommit),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::DISABLED,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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m_w_values,
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m_h_values),
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n_values),
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k_values),
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b_values),
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m0_values_nightly),
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n0_values_nightly),
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k0_values_nightly),
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h0_values_nightly),
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i_values_rhs),
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t_values_rhs),
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framework::dataset::make("DataType", { DataType::QASYMM8 })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // GEMMLowpMatrixMultiplyReshapedOnlyRHS
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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