| /* |
| * Copyright (c) 2017 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 "Globals.h" |
| #include "NEON/NEAccessor.h" |
| #include "TensorLibrary.h" |
| #include "TypePrinter.h" |
| #include "Utils.h" |
| #include "dataset/GEMMDataset.h" |
| #include "validation/Datasets.h" |
| #include "validation/Reference.h" |
| #include "validation/Validation.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NEGEMM.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| |
| #include "boost_wrapper.h" |
| |
| #include <random> |
| #include <string> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::neon; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| const float tolerance_f32 = 1e-03f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
| const float tolerance_qs8 = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::QS8 */ |
| |
| Tensor compute_gemm(const TensorShape &src_shape1, const TensorShape &src_shape2, const TensorShape &src_shape3, |
| const TensorShape &out_shape, float alpha, float beta, DataType dt, int fixed_point_position = 0) |
| { |
| // Create tensors |
| Tensor src1 = create_tensor<Tensor>(src_shape1, dt, 1, fixed_point_position); |
| Tensor src2 = create_tensor<Tensor>(src_shape2, dt, 1, fixed_point_position); |
| Tensor src3 = create_tensor<Tensor>(src_shape3, dt, 1, fixed_point_position); |
| Tensor dst = create_tensor<Tensor>(out_shape, dt, 1, fixed_point_position); |
| |
| // Create and configure function |
| NEGEMM gemm; |
| gemm.configure(&src1, &src2, &src3, &dst, alpha, beta); |
| |
| // Allocate tensors |
| src1.allocator()->allocate(); |
| src2.allocator()->allocate(); |
| src3.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src1.info()->is_resizable()); |
| BOOST_TEST(!src2.info()->is_resizable()); |
| BOOST_TEST(!src3.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| if(dt == DataType::F16 || dt == DataType::F32) |
| { |
| std::uniform_real_distribution<> distribution(-1.0f, 1.0f); |
| library->fill(NEAccessor(src1), distribution, 0); |
| library->fill(NEAccessor(src2), distribution, 1); |
| library->fill(NEAccessor(src3), distribution, 2); |
| } |
| else |
| { |
| library->fill_tensor_uniform(NEAccessor(src1), 0); |
| library->fill_tensor_uniform(NEAccessor(src2), 1); |
| library->fill_tensor_uniform(NEAccessor(src3), 2); |
| } |
| |
| // Compute function |
| gemm.run(); |
| |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(NEON) |
| BOOST_AUTO_TEST_SUITE(GEMM) |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(Configuration, |
| SmallGEMMDataset() * boost::unit_test::data::make({ DataType::F32, DataType::QS8 }), |
| gemm_set, dt) |
| { |
| // Set fixed point position data type allowed |
| int fixed_point_position = (dt == DataType::F32) ? 0 : 3; |
| |
| // Create tensors |
| Tensor src1 = create_tensor<Tensor>(gemm_set.shape_a, dt, 1, fixed_point_position); |
| Tensor src2 = create_tensor<Tensor>(gemm_set.shape_b, dt, 1, fixed_point_position); |
| Tensor src3 = create_tensor<Tensor>(gemm_set.shape_c, dt, 1, fixed_point_position); |
| Tensor dst = create_tensor<Tensor>(gemm_set.shape_d, dt, 1, fixed_point_position); |
| |
| BOOST_TEST(src1.info()->is_resizable()); |
| BOOST_TEST(src2.info()->is_resizable()); |
| BOOST_TEST(src3.info()->is_resizable()); |
| BOOST_TEST(dst.info()->is_resizable()); |
| |
| // Create and configure function |
| NEGEMM gemm; |
| gemm.configure(&src1, &src2, &src3, &dst, gemm_set.alpha, gemm_set.beta); |
| |
| // Validate valid region |
| const ValidRegion src1_valid_region = shape_to_valid_region(gemm_set.shape_a); |
| const ValidRegion src2_valid_region = shape_to_valid_region(gemm_set.shape_b); |
| const ValidRegion src3_valid_region = shape_to_valid_region(gemm_set.shape_c); |
| const ValidRegion dst_valid_region = shape_to_valid_region(gemm_set.shape_d); |
| |
| validate(src1.info()->valid_region(), src1_valid_region); |
| validate(src2.info()->valid_region(), src2_valid_region); |
| validate(src3.info()->valid_region(), src3_valid_region); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| } |
| |
| #ifdef ARM_COMPUTE_ENABLE_FP16 |
| BOOST_AUTO_TEST_SUITE(Float16) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(SmallGEMM, SmallGEMMDataset() * boost::unit_test::data::make(DataType::F16), |
| gemm_set, dt) |
| { |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt); |
| |
| // Compute function |
| Tensor dst = compute_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_f32); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
| |
| BOOST_AUTO_TEST_SUITE(Float) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(SmallGEMM, SmallGEMMDataset() * boost::unit_test::data::make(DataType::F32), |
| gemm_set, dt) |
| { |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt); |
| |
| // Compute function |
| Tensor dst = compute_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_f32); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(LargeGEMM, LargeGEMMDataset() * boost::unit_test::data::make(DataType::F32), |
| gemm_set, dt) |
| { |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt); |
| |
| // Compute function |
| Tensor dst = compute_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_f32); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE(Quantized) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(SmallGEMM, SmallGEMMDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(1, 7), |
| gemm_set, dt, fixed_point_position) |
| { |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt, fixed_point_position); |
| |
| // Compute function |
| Tensor dst = compute_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_qs8); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(LargeGEMM, LargeGEMMDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(1, 7), |
| gemm_set, dt, fixed_point_position) |
| { |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt, fixed_point_position); |
| |
| // Compute function |
| Tensor dst = compute_gemm(gemm_set.shape_a, gemm_set.shape_b, gemm_set.shape_c, gemm_set.shape_d, gemm_set.alpha, gemm_set.beta, dt, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_qs8); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif |