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-/*
- * 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_GEMM_FIXTURE
-#define ARM_COMPUTE_TEST_GEMM_FIXTURE
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "framework/Asserts.h"
-#include "framework/Fixture.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/IAccessor.h"
-#include "tests/validation_new/CPP/GEMM.h"
-#include "tests/validation_new/Helpers.h"
-
-#include <random>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class GEMMValidationFixedPointFixture : public framework::Fixture
-{
-public:
- template <typename...>
- void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape output_shape, float alpha, float beta, DataType data_type, int fractional_bits)
- {
- _fractional_bits = fractional_bits;
- _data_type = data_type;
-
- _target = compute_target(shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type, fractional_bits);
- _reference = compute_reference(shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type, fractional_bits);
- }
-
-protected:
- template <typename U>
- void fill(U &&tensor, int i)
- {
- switch(tensor.data_type())
- {
- case DataType::F16:
- case DataType::F32:
- {
- std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
- library->fill(tensor, distribution, i);
- break;
- }
- default:
- library->fill_tensor_uniform(tensor, i);
- }
- }
-
- TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, const TensorShape &output_shape, float alpha, float beta,
- DataType data_type, int fixed_point_position)
- {
- // Create tensors
- TensorType a = create_tensor<TensorType>(shape_a, data_type, 1, fixed_point_position);
- TensorType b = create_tensor<TensorType>(shape_b, data_type, 1, fixed_point_position);
- TensorType c = create_tensor<TensorType>(shape_c, data_type, 1, fixed_point_position);
- TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, fixed_point_position);
-
- // Create and configure function
- FunctionType gemm;
- gemm.configure(&a, &b, &c, &dst, alpha, beta);
-
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Allocate tensors
- a.allocator()->allocate();
- b.allocator()->allocate();
- c.allocator()->allocate();
- dst.allocator()->allocate();
-
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Fill tensors
- fill(AccessorType(a), 0);
- fill(AccessorType(b), 1);
- fill(AccessorType(c), 2);
-
- // Compute GEMM function
- gemm.run();
-
- return dst;
- }
-
- SimpleTensor<T> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, const TensorShape &output_shape, float alpha, float beta,
- DataType data_type, int fixed_point_position)
- {
- // Create reference
- SimpleTensor<T> a{ shape_a, data_type, 1, fixed_point_position };
- SimpleTensor<T> b{ shape_b, data_type, 1, fixed_point_position };
- SimpleTensor<T> c{ shape_c, data_type, 1, fixed_point_position };
-
- // Fill reference
- fill(a, 0);
- fill(b, 1);
- fill(c, 2);
-
- return reference::gemm<T>(a, b, c, alpha, beta);
- }
-
- TensorType _target{};
- SimpleTensor<T> _reference{};
- int _fractional_bits{};
- DataType _data_type{};
-};
-
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class GEMMValidationFixture : public GEMMValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>
-{
-public:
- template <typename...>
- void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape output_shape, float alpha, float beta, DataType data_type)
- {
- GEMMValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type, 0);
- }
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_GEMM_FIXTURE */