| /* |
| * 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. |
| */ |
| #ifndef ARM_COMPUTE_TEST_GEMMLOWPFIXTURE |
| #define ARM_COMPUTE_TEST_GEMMLOWPFIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/Globals.h" |
| #include "tests/Utils.h" |
| #include "tests/framework/Fixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| /** Fixture that can be used for NEON and CL */ |
| template <typename TensorType, typename Function, typename Accessor> |
| class GEMMLowpMatrixMultiplyCoreFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape shape_dst, float alpha, float beta) |
| { |
| // TODO (COMPMID-717): The interface used for GEMMLowp is the same one used for GEMM in order to re-use the datasets |
| // However the interface for both GEMM and GEMMLowp should be reworked in order to accepts only the 3 dimensions M, N and K |
| ARM_COMPUTE_UNUSED(shape_c); |
| ARM_COMPUTE_UNUSED(alpha); |
| ARM_COMPUTE_UNUSED(beta); |
| |
| // Note: The offsets for matrix A and matrix B are set to 0 in order to skip the computation for the offset contribution |
| |
| // Create tensors |
| a = create_tensor<TensorType>(shape_a, DataType::QASYMM8, 1, 0, QuantizationInfo(1.0f / 255.0f, 0)); |
| b = create_tensor<TensorType>(shape_b, DataType::QASYMM8, 1, 0, QuantizationInfo(1.0f / 255.0f, 0)); |
| c = create_tensor<TensorType>(shape_dst, DataType::S32, 1, 0, QuantizationInfo(1.0f / 255.0f, 0)); |
| |
| // Create and configure function |
| gemmlowp.configure(&a, &b, &c); |
| |
| // Allocate tensors |
| a.allocator()->allocate(); |
| b.allocator()->allocate(); |
| c.allocator()->allocate(); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(a), 0); |
| library->fill_tensor_uniform(Accessor(b), 1); |
| } |
| void run() |
| { |
| gemmlowp.run(); |
| } |
| |
| void teardown() |
| { |
| a.allocator()->free(); |
| b.allocator()->free(); |
| c.allocator()->free(); |
| } |
| |
| private: |
| TensorType a{}; |
| TensorType b{}; |
| TensorType c{}; |
| Function gemmlowp{}; |
| }; |
| |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_GEMMLOWPFIXTURE */ |