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/*
* Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "src/core/gpu/cl/kernels/ClGemmLowpMatrixMultiplyReshapedOnlyRhsKernel.h"
#include "src/core/gpu/cl/kernels/ClGemmReshapeRhsMatrixKernel.h"
#include "tests/CL/CLAccessor.h"
#include "tests/CL/Helper.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/GEMMLowpFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
using namespace arm_compute::misc::shape_calculator;
// Create function for CLGEMMReshapeRHSMatrixKernel
using CLGEMMReshapeRHSMatrix = CLSynthetizeOperator<opencl::kernels::ClGemmReshapeRhsMatrixKernel>;
// Create function for CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel
using CLGEMMLowpMatrixMultiplyReshapedOnlyRHS = CLSynthetizeOperator<opencl::kernels::ClGemmLowpMatrixMultiplyReshapedOnlyRhsKernel>;
// Fixture for CLGEMMLowpMatrixMultiplyReshapedOnlyRHS
using CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture = GEMMLowpMatrixMultiplyReshapedOnlyRHSValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeRHSMatrix, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS>;
// Fixture for CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3D
using CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture =
GEMMLowpMatrixMultiplyReshapedOnlyRHS3DValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeRHSMatrix, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS>;
namespace
{
// *INDENT-OFF*
// clang-format off
/** M values to test */
const auto m_values = framework::dataset::make("M", 37);
/** M_W values to test */
const auto m_w_values = framework::dataset::make("M_W", 5);
/** M_H values to test */
const auto m_h_values = framework::dataset::make("M_H", 7);
/** N values to test */
const auto n_values = framework::dataset::make("N", 51);
/** K values to test */
const auto k_values = framework::dataset::make("K", 23);
/** Batch size values to test */
const auto b_values = framework::dataset::make("batch_size", 1, 3);
/** M0 values to test - Precommit */
const auto m0_values_precommit_1 = framework::dataset::make("M0", {4});
const auto m0_values_precommit_2 = framework::dataset::make("M0", {6});
/** N0 values to test - Precommit */
const auto n0_values_precommit = framework::dataset::make("N0", { 4 });
/** K0 values to test - Precommit */
const auto k0_values_precommit = framework::dataset::make("K0", { 16 });
/** H0 values to test - Precommit */
const auto h0_values_precommit = framework::dataset::make("H0", 1, 3);
/** M0 values to test - Nightly */
const auto m0_values_nightly = framework::dataset::make("M0", 2, 8);
/** N0 values to test - Nightly */
const auto n0_values_nightly = framework::dataset::make("N0", { 2, 3, 4, 8 });
/** K0 values to test - Nightly */
const auto k0_values_nightly = framework::dataset::make("K0", { 2, 3, 4, 8, 16 });
/** H0 values to test - Nightly */
const auto h0_values_nightly = framework::dataset::make("H0", 1, 4);
/** Interleave values to test with RHS matrix */
const auto i_values_rhs = framework::dataset::make("interleave_rhs", { true, false });
/** Transpose values to test with RHS matrix */
const auto t_values_rhs = framework::dataset::make("transpose_rhs", { true });
/** Configuration test */
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)
{
const unsigned int M = m_value;
const unsigned int N = n_value;
const unsigned int K = k_value;
GEMMLHSMatrixInfo lhs_info;
lhs_info.m0 = m0_value;
lhs_info.k0 = k0_value;
GEMMRHSMatrixInfo rhs_info;
rhs_info.n0 = n0_value;
rhs_info.k0 = k0_value;
rhs_info.h0 = h0_value;
rhs_info.interleave = i_value_rhs;
rhs_info.transpose = true;
GEMMKernelInfo gemm_info;
gemm_info.m = M;
gemm_info.n = N;
gemm_info.k = K;
gemm_info.lhs_info = lhs_info;
gemm_info.rhs_info = rhs_info;
const TensorShape lhs_shape(K, M, b_value);
const TensorShape rhs_shape(N, K, b_value);
const TensorShape rhs_shape_reshaped = compute_rhs_reshaped_shape(TensorInfo(rhs_shape, 1, DataType::QASYMM8),
rhs_info);
const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape, 1, DataType::QASYMM8),
TensorInfo(rhs_shape_reshaped, 1, DataType::QASYMM8),
gemm_info);
// Create tensors
CLTensor lhs = create_tensor<CLTensor>(lhs_shape, DataType::QASYMM8);
CLTensor rhs_reshaped = create_tensor<CLTensor>(rhs_shape_reshaped, DataType::QASYMM8);
CLTensor dst = create_tensor<CLTensor>(dst_shape, DataType::S32);
ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create and configure function
CLGEMMLowpMatrixMultiplyReshapedOnlyRHS gemm;
gemm.configure(lhs.info(), rhs_reshaped.info(), dst.info(), gemm_info);
}
} // namespace
TEST_SUITE(CL)
TEST_SUITE(GEMMLowpMatrixMultiplyReshapedOnlyRHS)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
framework::dataset::make("batch_size", 1)),
m0_values_precommit_1),
n0_values_precommit),
k0_values_precommit),
h0_values_precommit),
i_values_rhs),
m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs)
{
validate_configuration(m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs);
}
FIXTURE_DATA_TEST_CASE(RunSmall_1, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
b_values),
m0_values_precommit_1),
n0_values_precommit),
k0_values_precommit),
h0_values_precommit),
i_values_rhs),
t_values_rhs),
framework::dataset::make("DataType", { DataType::QASYMM8 })))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunSmall_2, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
b_values),
m0_values_precommit_2),
n0_values_precommit),
k0_values_precommit),
h0_values_precommit),
i_values_rhs),
t_values_rhs),
framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture, framework::DatasetMode::DISABLED,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
b_values),
m0_values_nightly),
n0_values_nightly),
k0_values_nightly),
h0_values_nightly),
i_values_rhs),
t_values_rhs),
framework::dataset::make("DataType", { DataType::QASYMM8 })))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunSmall3D_1, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_w_values,
m_h_values),
n_values),
k_values),
b_values),
m0_values_precommit_1),
n0_values_precommit),
k0_values_precommit),
h0_values_precommit),
i_values_rhs),
t_values_rhs),
framework::dataset::make("DataType", { DataType::QASYMM8 })))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunSmall3D_2, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_w_values,
m_h_values),
n_values),
k_values),
b_values),
m0_values_precommit_2),
n0_values_precommit),
k0_values_precommit),
h0_values_precommit),
i_values_rhs),
t_values_rhs),
framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture, framework::DatasetMode::DISABLED,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_w_values,
m_h_values),
n_values),
k_values),
b_values),
m0_values_nightly),
n0_values_nightly),
k0_values_nightly),
h0_values_nightly),
i_values_rhs),
t_values_rhs),
framework::dataset::make("DataType", { DataType::QASYMM8 })))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // GEMMLowpMatrixMultiplyReshapedOnlyRHS
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute