| /* |
| * 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_ACCUMULATE_FIXTURE |
| #define ARM_COMPUTE_TEST_ACCUMULATE_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/reference/Accumulate.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> |
| class AccumulateBaseValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, DataType output_data_type) |
| { |
| _target = compute_target(shape, data_type, output_data_type); |
| _reference = compute_reference(shape, data_type, output_data_type); |
| } |
| |
| protected: |
| template <typename U, typename D> |
| void fill(U &&tensor, int i, D max) |
| { |
| library->fill_tensor_uniform(tensor, i, static_cast<D>(0), max); |
| } |
| |
| TensorType compute_target(const TensorShape &shape, DataType data_type, DataType output_data_type) |
| { |
| // Create tensors |
| TensorType ref_src = create_tensor<TensorType>(shape, data_type); |
| TensorType dst = create_tensor<TensorType>(shape, output_data_type); |
| |
| // Create and configure function |
| FunctionType accum; |
| accum_conf(accum, ref_src, dst); |
| |
| ARM_COMPUTE_EXPECT(ref_src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| ref_src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!ref_src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| const T1 max = std::numeric_limits<T1>::max(); |
| |
| // Fill tensors |
| fill(AccessorType(ref_src), 0, max); |
| fill(AccessorType(dst), 1, static_cast<T2>(max)); |
| |
| // Compute function |
| accum.run(); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType data_type, DataType output_data_type) |
| { |
| // Create reference |
| SimpleTensor<T1> ref_src{ shape, data_type }; |
| |
| const T1 max = std::numeric_limits<T1>::max(); |
| |
| // Fill reference |
| fill(ref_src, 0, max); |
| |
| return accum_ref(ref_src, output_data_type); |
| } |
| |
| virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) = 0; |
| |
| virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) = 0; |
| |
| TensorType _target{}; |
| SimpleTensor<T2> _reference{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> |
| class AccumulateValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, DataType output_data_type) |
| { |
| AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type); |
| } |
| |
| virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override |
| { |
| func.configure(&input, &accum); |
| } |
| |
| virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override |
| { |
| return reference::accumulate<T1, T2>(input, output_data_type); |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> |
| class AccumulateWeightedValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, DataType output_data_type) |
| { |
| std::mt19937 gen(library->seed()); |
| std::uniform_real_distribution<> float_dist(0, 1); |
| |
| _alpha = float_dist(gen); |
| |
| AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type); |
| } |
| |
| virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override |
| { |
| func.configure(&input, _alpha, &accum); |
| } |
| |
| virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override |
| { |
| return reference::accumulate_weighted<T1, T2>(input, _alpha, output_data_type); |
| } |
| |
| float _alpha{ 0.f }; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> |
| class AccumulateSquaredValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, DataType output_data_type) |
| { |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<uint32_t> int_dist(0, 15); |
| |
| _shift = int_dist(gen); |
| |
| AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type); |
| } |
| |
| virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override |
| { |
| func.configure(&input, _shift, &accum); |
| } |
| |
| virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override |
| { |
| return reference::accumulate_squared<T1, T2>(input, _shift, output_data_type); |
| } |
| |
| uint32_t _shift{ 0U }; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_ACCUMULATE_FIXTURE */ |