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author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-06-03 17:28:17 +0100 |
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committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-06-10 17:05:25 +0000 |
commit | e7510622419a63315e5ad5ed7de61a2ce4bd0b49 (patch) | |
tree | 72b40bc00702b72071452254986b0ba674e99131 /tests/validation | |
parent | e6bcb5b4c5e6933e87ab5e081fdfae219adea713 (diff) | |
download | ComputeLibrary-e7510622419a63315e5ad5ed7de61a2ce4bd0b49.tar.gz |
COMPMID-2094: Implement CLGEMMLowpNative
Change-Id: I2a80eec28baf9e83bfc67a930e2a140642e0b09e
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1285
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation')
-rw-r--r-- | tests/validation/CL/GEMMLowpMatrixMultiplyNative.cpp | 152 | ||||
-rw-r--r-- | tests/validation/fixtures/GEMMLowpFixture.h | 189 |
2 files changed, 341 insertions, 0 deletions
diff --git a/tests/validation/CL/GEMMLowpMatrixMultiplyNative.cpp b/tests/validation/CL/GEMMLowpMatrixMultiplyNative.cpp new file mode 100644 index 0000000000..1fc8cc47c4 --- /dev/null +++ b/tests/validation/CL/GEMMLowpMatrixMultiplyNative.cpp @@ -0,0 +1,152 @@ +/* + * Copyright (c) 2019 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/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "tests/CL/CLAccessor.h" +#include "tests/CL/Helper.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 CLGEMMMatrixMultiplyNativeKernel +using CLGEMMLowpMatrixMultiplyNative = CLSynthetizeFunction<CLGEMMLowpMatrixMultiplyNativeKernel>; + +// Fixture for CLGEMMLowpMatrixMultiplyNative +using CLGEMMLowpMatrixMultiplyNativeFixture = GEMMLowpMatrixMultiplyNativeValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyNative>; + +// Fixture for CLGEMMMatrixMultiplyNative3D +using CLGEMMLowpMatrixMultiplyNative3DFixture = GEMMLowpMatrixMultiplyNative3DValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyNative>; + +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 = framework::dataset::make("M0", {4, 6}); + +/** N0 values to test - Precommit */ +const auto n0_values_precommit = framework::dataset::make("N0", { 2, 4 }); + +/** K0 values to test - Precommit */ +const auto k0_values_precommit = framework::dataset::make("K0", { 4 }); + +/** M0 values to test - Nightly */ +const auto m0_values_nightly = framework::dataset::make("M0", 2, 7); + +/** 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 }); +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(GEMMLowpMatrixMultiplyNative) +FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyNativeFixture, framework::DatasetMode::ALL, + combine(combine(combine(combine(combine(combine(m_values, + n_values), + k_values), + b_values), + m0_values_precommit), + n0_values_precommit), + k0_values_precommit)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyNativeFixture, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(combine(combine(m_values, + n_values), + k_values), + b_values), + m0_values_nightly), + n0_values_nightly), + k0_values_nightly)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMLowpMatrixMultiplyNative3DFixture, framework::DatasetMode::ALL, + combine(combine(combine(combine(combine(combine(combine(m_w_values, + m_h_values), + n_values), + k_values), + b_values), + m0_values_precommit), + n0_values_precommit), + k0_values_precommit)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMLowpMatrixMultiplyNative3DFixture, framework::DatasetMode::NIGHTLY, + 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)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // GEMMLowpMatrixMultiplyNative +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/GEMMLowpFixture.h b/tests/validation/fixtures/GEMMLowpFixture.h index 5793ebdd2d..ad5acfc418 100644 --- a/tests/validation/fixtures/GEMMLowpFixture.h +++ b/tests/validation/fixtures/GEMMLowpFixture.h @@ -819,6 +819,195 @@ protected: TensorType _target{}; SimpleTensor<int32_t> _reference{}; }; + +template <typename TensorType, typename AccessorType, typename GEMMFunctionType> +class GEMMLowpMatrixMultiplyNativeValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0) + { + GEMMLHSMatrixInfo lhs_info; + lhs_info.m0 = m0; + lhs_info.k0 = k0; + + GEMMRHSMatrixInfo rhs_info; + rhs_info.n0 = n0; + rhs_info.k0 = k0; + + // Set the tensor shapes for LHS and RHS matrices + const TensorShape lhs_shape(k, m, batch_size); + const TensorShape rhs_shape(n, k, batch_size); + + _target = compute_target(lhs_shape, rhs_shape, lhs_info, rhs_info); + _reference = compute_reference(lhs_shape, rhs_shape); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + // Between 1 and 254 in order to avoid having -128 and 128 for the DOT product path + std::uniform_int_distribution<> distribution(1, 254); + library->fill(tensor, distribution, i); + } + + TensorType compute_target(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info) + { + // Create tensors + TensorType lhs = create_tensor<TensorType>(lhs_shape, DataType::QASYMM8, 1); + TensorType rhs = create_tensor<TensorType>(rhs_shape, DataType::QASYMM8, 1); + TensorType dst; + + const unsigned int M = lhs_shape[1]; + const unsigned int N = rhs_shape[0]; + const unsigned int K = lhs_shape[0]; + + // The output tensor will be auto-initialized within the function + + // Create and configure function + GEMMFunctionType gemm; + gemm.configure(&lhs, &rhs, &dst, lhs_info, rhs_info, GEMMReshapeInfo(M, N, K)); + + ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + lhs.allocator()->allocate(); + rhs.allocator()->allocate(); + dst.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(lhs), 0); + fill(AccessorType(rhs), 1); + + // Compute GEMM + gemm.run(); + + return dst; + } + + SimpleTensor<int32_t> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape) + { + TensorShape dst_shape = lhs_shape; + dst_shape[0] = rhs_shape[0]; + dst_shape[1] = lhs_shape[1]; + + // Create reference + SimpleTensor<uint8_t> lhs{ lhs_shape, DataType::QASYMM8, 1 }; + SimpleTensor<uint8_t> rhs{ rhs_shape, DataType::QASYMM8, 1 }; + + // Fill reference + fill(lhs, 0); + fill(rhs, 1); + + return reference::gemmlowp_matrix_multiply_core<int32_t, uint8_t>(lhs, rhs, dst_shape, 0, 0); + } + + TensorType _target{}; + SimpleTensor<int32_t> _reference{}; +}; + +template <typename TensorType, typename AccessorType, typename GEMMFunctionType> +class GEMMLowpMatrixMultiplyNative3DValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0) + { + GEMMLHSMatrixInfo lhs_info; + lhs_info.m0 = m0; + lhs_info.k0 = k0; + + GEMMRHSMatrixInfo rhs_info; + rhs_info.n0 = n0; + rhs_info.k0 = k0; + + // In case of GEMM3D, m is the product between m_w and m_h + const unsigned int m = m_w * m_h; + + // Set the tensor shapes for LHS and RHS matrices + const TensorShape lhs_shape(k, m, batch_size); + const TensorShape rhs_shape(n, k, batch_size); + + _target = compute_target(lhs_shape, rhs_shape, lhs_info, rhs_info, m_h); + _reference = compute_reference(lhs_shape, rhs_shape, m_h); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + // Between 1 and 254 in order to avoid having -128 and 128 for the DOT product path + std::uniform_int_distribution<> distribution(1, 254); + library->fill(tensor, distribution, i); + } + + TensorType compute_target(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, unsigned int m_h) + { + // Create tensors + TensorType lhs = create_tensor<TensorType>(lhs_shape, DataType::QASYMM8, 1); + TensorType rhs = create_tensor<TensorType>(rhs_shape, DataType::QASYMM8, 1); + TensorType dst; + + const unsigned int M = lhs_shape[1]; + const unsigned int N = rhs_shape[0]; + const unsigned int K = lhs_shape[0]; + + // The output tensor will be auto-initialized within the function + + // Create and configure function + GEMMFunctionType gemm; + gemm.configure(&lhs, &rhs, &dst, lhs_info, rhs_info, GEMMReshapeInfo(M, N, K, 1, 1, m_h)); + + ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + lhs.allocator()->allocate(); + rhs.allocator()->allocate(); + dst.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(lhs), 0); + fill(AccessorType(rhs), 1); + + // Compute GEMM + gemm.run(); + + return dst; + } + + SimpleTensor<int32_t> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, unsigned int m_h) + { + TensorShape dst_shape = lhs_shape; + dst_shape.set(0, rhs_shape[0]); + dst_shape.set(1, lhs_shape[1] / m_h); + dst_shape.set(2, m_h); + dst_shape.set(3, lhs_shape[2]); + + // Create reference + SimpleTensor<uint8_t> lhs{ lhs_shape, DataType::QASYMM8, 1 }; + SimpleTensor<uint8_t> rhs{ rhs_shape, DataType::QASYMM8, 1 }; + + // Fill reference + fill(lhs, 0); + fill(rhs, 1); + + return reference::gemmlowp_matrix_multiply_core<int32_t, uint8_t>(lhs, rhs, dst_shape, 0, 0); + } + + TensorType _target{}; + SimpleTensor<int32_t> _reference{}; +}; } // namespace validation } // namespace test } // namespace arm_compute |