| /* | |
| * Copyright (c) 2018-2021 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/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/GEMMReshapeRHSMatrixFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| // *INDENT-OFF* | |
| // clang-format off | |
| /** Batch size values to test */ | |
| const auto b_values = framework::dataset::make("batchsize", 1, 3); | |
| /** N0 values to test */ | |
| const auto n0_values_nt_s32 = framework::dataset::make("N0", { 1, 2, 3 }); | |
| const auto n0_values_nt_s16 = framework::dataset::make("N0", { 4, 8 }); | |
| const auto n0_values_nt_s8 = framework::dataset::make("N0", { 16 }); | |
| const auto n0_values_t_s32 = framework::dataset::make("N0", { 4, 8 }); | |
| const auto n0_values_t_s16 = framework::dataset::make("N0", { 16 }); | |
| const auto n0_values_t_s8 = framework::dataset::make("N0", { 2, 3 }); | |
| /** K0 values to test */ | |
| const auto k0_values_nt_s32 = framework::dataset::make("K0", { 1, 2 }); | |
| const auto k0_values_nt_s16 = framework::dataset::make("K0", { 16 }); | |
| const auto k0_values_nt_s8 = framework::dataset::make("K0", { 3,4 }); | |
| const auto k0_values_t_s32 = framework::dataset::make("K0", { 2, 3 }); | |
| const auto k0_values_t_s16 = framework::dataset::make("K0", { 4, 8 }); | |
| const auto k0_values_t_s8 = framework::dataset::make("K0", { 16 }); | |
| /** H0 values to test */ | |
| const auto h0_values = framework::dataset::make("H0", 1, 4); | |
| /** Interleave values to test */ | |
| const auto i_values = framework::dataset::make("interleave", { true, false }); | |
| } // namespace | |
| using namespace arm_compute::misc::shape_calculator; | |
| using namespace arm_compute::opencl::kernels; | |
| // Initialize the output tensor with zero and fill the border with zero | |
| using CLGEMMReshapeRHSMatrix = CLSynthetizeOperatorInitOutputWithZeroAndWithZeroConstantBorder<ClGemmReshapeRhsMatrixKernel, 16>; | |
| template <typename T> | |
| using CLGEMMReshapeRHSMatrixFixture = GEMMReshapeRHSMatrixValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeRHSMatrix, T>; | |
| TEST_SUITE(CL) | |
| TEST_SUITE(GEMMReshapeRHSMatrix) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( | |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // Mismatching data types | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // Wrong n0 value | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // Wrong k0 value | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // Wrong h0 value | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // n0 > 16 | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // k0 > 16 | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // k0 == 1 && transpose | |
| }), | |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(64U, 2U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 2U, 2U), 1, DataType::F16), | |
| TensorInfo(TensorShape(32U, 2U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 2U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 2U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 2U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 2U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 2U, 2U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("N0",{ 4, 0, 4, 4, 4, 17, 4, 4 })), | |
| framework::dataset::make("K0",{ 4, 4, 0, 4, 4, 4, 17, 1 })), | |
| framework::dataset::make("H0",{ 4, 4, 4, 0, 4, 4, 4, 4 })), | |
| framework::dataset::make("Expected", { false, false, false, false, false, false, false})), | |
| input_info, output_info, n0, k0, h0, expected) | |
| { | |
| GEMMRHSMatrixInfo rhs_info; | |
| rhs_info.n0 = n0; | |
| rhs_info.k0 = k0; | |
| rhs_info.h0 = h0; | |
| rhs_info.transpose = true; | |
| rhs_info.interleave = true; | |
| bool has_error = bool(ClGemmReshapeRhsMatrixKernel::validate(&input_info.clone()->set_is_resizable(false), (output_info.total_size() == 0) ? nullptr : &output_info.clone()->set_is_resizable(false), rhs_info)); | |
| ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); | |
| } | |
| DATA_TEST_CASE(ValidatePadding, framework::DatasetMode::ALL, combine(combine(combine(combine( | |
| framework::dataset::make("InputShape", { TensorShape(32U, 16U, 1U), | |
| TensorShape(32U, 16U, 2U) | |
| }), | |
| framework::dataset::make("N0",{ 4 })), | |
| framework::dataset::make("K0",{ 4, 8, 16 })), | |
| framework::dataset::make("H0",{ 1, 2, 4 })), | |
| framework::dataset::make("DataType",{ DataType::F32, DataType::F16 })), | |
| input_shape, n0, k0, h0, data_type) | |
| { | |
| CLTensor input; | |
| CLTensor output; | |
| input.info()->init(input_shape, 1, data_type); | |
| unsigned int padding = 0; | |
| GEMMRHSMatrixInfo rhs_info; | |
| rhs_info.n0 = n0; | |
| rhs_info.k0 = k0; | |
| rhs_info.h0 = h0; | |
| rhs_info.transpose = true; | |
| rhs_info.interleave = true; | |
| rhs_info.export_to_cl_image = image2d_from_buffer_supported(CLKernelLibrary::get().get_device()) && (get_cl_image_pitch_alignment(CLKernelLibrary::get().get_device()) != 0); | |
| if(rhs_info.export_to_cl_image) | |
| { | |
| TensorShape output_shape = compute_rhs_reshaped_shape(*input.info(), rhs_info); | |
| constexpr unsigned int num_floats_per_pixel = 4; | |
| const unsigned int pixel_aligment = get_cl_image_pitch_alignment(CLKernelLibrary::get().get_device()); | |
| const unsigned int row_pitch_alignment = pixel_aligment * num_floats_per_pixel; | |
| const unsigned int round_up_width = ((output_shape[0] + row_pitch_alignment - 1) / row_pitch_alignment) * row_pitch_alignment; | |
| padding = round_up_width - output_shape[0]; | |
| } | |
| ClGemmReshapeRhsMatrixKernel kernel; | |
| kernel.configure(CLKernelLibrary::get().get_compile_context(), input.info(), output.info(), rhs_info); | |
| ARM_COMPUTE_EXPECT((output.info()->padding().right == padding), framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| // Run S32 tests only for transpose = false | |
| FIXTURE_DATA_TEST_CASE(S32_NT, CLGEMMReshapeRHSMatrixFixture<int>, framework::DatasetMode::ALL, | |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), | |
| b_values), | |
| framework::dataset::make("DataType", DataType::S32)), | |
| n0_values_nt_s32), | |
| k0_values_nt_s32), | |
| h0_values), | |
| i_values), | |
| framework::dataset::make("transpose", false))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| // Run S32 tests only for transpose = true | |
| FIXTURE_DATA_TEST_CASE(S32_T, CLGEMMReshapeRHSMatrixFixture<int>, framework::DatasetMode::ALL, | |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), | |
| b_values), | |
| framework::dataset::make("DataType", DataType::S32)), | |
| n0_values_t_s32), | |
| k0_values_t_s32), | |
| h0_values), | |
| i_values), | |
| framework::dataset::make("transpose", true))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| // Run S16 tests only for transpose = false | |
| FIXTURE_DATA_TEST_CASE(S16_NT, CLGEMMReshapeRHSMatrixFixture<short>, framework::DatasetMode::ALL, | |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), | |
| b_values), | |
| framework::dataset::make("DataType", DataType::S16)), | |
| n0_values_nt_s16), | |
| k0_values_nt_s16), | |
| h0_values), | |
| i_values), | |
| framework::dataset::make("transpose", false))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| // Run S16 tests only for transpose = true | |
| FIXTURE_DATA_TEST_CASE(S16_T, CLGEMMReshapeRHSMatrixFixture<short>, framework::DatasetMode::ALL, | |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), | |
| b_values), | |
| framework::dataset::make("DataType", DataType::S16)), | |
| n0_values_t_s16), | |
| k0_values_t_s16), | |
| h0_values), | |
| i_values), | |
| framework::dataset::make("transpose", true))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| // Run S8 tests only for transpose = false | |
| FIXTURE_DATA_TEST_CASE(S8_NT, CLGEMMReshapeRHSMatrixFixture<char>, framework::DatasetMode::ALL, | |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), | |
| b_values), | |
| framework::dataset::make("DataType", DataType::S8)), | |
| n0_values_nt_s8), | |
| k0_values_nt_s8), | |
| h0_values), | |
| i_values), | |
| framework::dataset::make("transpose", false))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| // Run S8 tests only for transpose = true | |
| FIXTURE_DATA_TEST_CASE(S8_T, CLGEMMReshapeRHSMatrixFixture<char>, framework::DatasetMode::ALL, | |
| combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), | |
| b_values), | |
| framework::dataset::make("DataType", DataType::S8)), | |
| n0_values_t_s8), | |
| k0_values_t_s8), | |
| h0_values), | |
| i_values), | |
| framework::dataset::make("transpose", true))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // GEMMReshapeRHSMatrix | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |