| /* |
| * Copyright (c) 2018-2020 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/CLGEMMReshapeLHSMatrixKernel.h" |
| #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 "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/GEMMReshapeLHSMatrixFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| using namespace arm_compute::misc::shape_calculator; |
| |
| // Initialize the output tensor with zero and fill the border with zero |
| using CLGEMMReshapeLHSMatrix = CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder<CLGEMMReshapeLHSMatrixKernel, 16>; |
| |
| template <typename T> |
| using CLGEMMReshapeLHSMatrixFixture = GEMMReshapeLHSMatrixValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeLHSMatrix, T, false>; |
| |
| // Fixture to use when the input has to be reinterpreted as 3D |
| template <typename T> |
| using CLGEMMReshapeLHSMatrix3DFixture = GEMMReshapeLHSMatrixValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeLHSMatrix, T, true>; |
| |
| // *INDENT-OFF* |
| // clang-format off |
| /** Data types */ |
| |
| namespace |
| { |
| /** Batch size values to test */ |
| const auto b_values = framework::dataset::make("batchsize", 1, 3); |
| |
| /** M0 values to test */ |
| const auto m0_values_s32 = framework::dataset::make("M0", { 2, 3 }); |
| const auto m0_values_s16 = framework::dataset::make("M0", { 4, 5 }); |
| const auto m0_values_s8 = framework::dataset::make("M0", { 6, 7, 8 }); |
| |
| /** K0 values to test */ |
| const auto k0_values_s32 = framework::dataset::make("K0", { 2, 3 }); |
| const auto k0_values_s16 = framework::dataset::make("K0", { 4, 8 }); |
| const auto k0_values_s8 = framework::dataset::make("K0", { 16 }); |
| |
| /** V0 values to test */ |
| const auto v0_values = framework::dataset::make("V0", 1, 4); |
| |
| /** Interleave values to test */ |
| const auto i_values = framework::dataset::make("interleave", { true, false }); |
| |
| /** Transpose values to test */ |
| const auto t_values = framework::dataset::make("transpose", { true, false }); |
| |
| /** Zero padding test */ |
| bool validate_zero_padding(unsigned int m_value, unsigned int k_value, unsigned int b_value, unsigned int m0_value, unsigned int k0_value, unsigned int v0_value, |
| bool i_value_lhs, bool t_value_lhs, bool input_as_3d, DataType dt) |
| { |
| const unsigned int M = m_value; |
| const unsigned int K = k_value; |
| const unsigned int B = b_value; |
| |
| GEMMLHSMatrixInfo lhs_info; |
| lhs_info.m0 = m0_value; |
| lhs_info.k0 = k0_value; |
| lhs_info.v0 = v0_value; |
| lhs_info.interleave = i_value_lhs; |
| lhs_info.transpose = t_value_lhs; |
| |
| const TensorShape lhs_shape(K, M, B); |
| const TensorShape lhs_shape_reshaped = compute_lhs_reshaped_shape(TensorInfo(lhs_shape, 1, dt), lhs_info, input_as_3d); |
| |
| // Create tensors |
| CLTensor lhs = create_tensor<CLTensor>(lhs_shape, dt); |
| CLTensor dst = create_tensor<CLTensor>(lhs_shape_reshaped, dt); |
| |
| ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Validate zero-padding |
| CLGEMMReshapeLHSMatrixKernel lhs_reshape; |
| |
| lhs_reshape.configure(&lhs, &dst, lhs_info, input_as_3d); |
| |
| return lhs.info()->padding().empty(); |
| } |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(GEMMReshapeLHSMatrix) |
| |
| /** Validate zero padding tests for the LHS input tensor |
| * |
| * A series of validation tests to test the zero padding requirement |
| * |
| * Checks performed in order: |
| * - Case where M and K are smaller than M0 and K0 |
| * - Generic test case with batch size = 1 |
| * - Generic test case with batch size = 4 |
| * - Generic test case with input_as_3d_value = true |
| */ |
| DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( |
| framework::dataset::make("M", { 1, 23, 63, 101 }), |
| framework::dataset::make("K", { 1, 47, 29, 27 })), |
| framework::dataset::make("B", { 1, 1, 4, 7 })), |
| framework::dataset::make("M0", { 4, 2, 4, 8 })), |
| framework::dataset::make("K0", { 2, 2, 4, 8 })), |
| framework::dataset::make("input_as_3d", { false, false, false, true })), |
| m_value, k_value, b_value, m0_value, k0_value, input_as_3d_value) |
| { |
| constexpr DataType dt = DataType::F32; |
| |
| bool status = validate_zero_padding(m_value, k_value, b_value, m0_value, k0_value, 2, false, false, input_as_3d_value, dt); |
| ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(S32, CLGEMMReshapeLHSMatrixFixture<int>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), |
| b_values), |
| framework::dataset::make("DataType", DataType::S32)), |
| m0_values_s32), |
| k0_values_s32), |
| v0_values), |
| i_values), |
| t_values)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(S16, CLGEMMReshapeLHSMatrixFixture<short>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), |
| b_values), |
| framework::dataset::make("DataType", DataType::S16)), |
| m0_values_s16), |
| k0_values_s16), |
| v0_values), |
| i_values), |
| t_values)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(S8, CLGEMMReshapeLHSMatrixFixture<char>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), |
| b_values), |
| framework::dataset::make("DataType", DataType::S8)), |
| m0_values_s8), |
| k0_values_s8), |
| v0_values), |
| i_values), |
| t_values)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE(ReinterpretInputAs3D) |
| FIXTURE_DATA_TEST_CASE(S32, CLGEMMReshapeLHSMatrix3DFixture<int>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), |
| b_values), |
| framework::dataset::make("DataType", DataType::S32)), |
| m0_values_s32), |
| k0_values_s32), |
| v0_values), |
| i_values), |
| t_values)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(S16, CLGEMMReshapeLHSMatrix3DFixture<short>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), |
| b_values), |
| framework::dataset::make("DataType", DataType::S16)), |
| m0_values_s16), |
| k0_values_s16), |
| v0_values), |
| i_values), |
| t_values)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(S8, CLGEMMReshapeLHSMatrix3DFixture<char>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), |
| b_values), |
| framework::dataset::make("DataType", DataType::S8)), |
| m0_values_s8), |
| k0_values_s8), |
| v0_values), |
| i_values), |
| t_values)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // ReinterpretInputAs3D |
| TEST_SUITE_END() // GEMMReshapeLHSMatrix |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |