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-/*
- * Copyright (c) 2017-2018 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_MEAN_STD_DEV_FIXTURE
-#define ARM_COMPUTE_TEST_MEAN_STD_DEV_FIXTURE
-
-#include "tests/Globals.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Fixture.h"
-#include "tests/validation/reference/MeanStdDev.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class MeanStdDevValidationFixture : public framework::Fixture
-{
-public:
- template <typename...>
- void setup(TensorShape shape, DataType data_type)
- {
- _target = compute_target(shape, data_type);
- _reference = compute_reference(shape, data_type);
- }
-
-protected:
- template <typename U>
- void fill(U &&tensor)
- {
- if(is_data_type_float(tensor.data_type()))
- {
- std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
- library->fill(tensor, distribution, 0);
- }
- else
- {
- library->fill_tensor_uniform(tensor, 0);
- }
- }
-
- std::pair<float, float> compute_target(const TensorShape &shape, DataType data_type)
- {
- // Create tensors
- TensorType src = create_tensor<TensorType>(shape, data_type);
-
- // Create output variables
- float mean = 0.0f;
- float std_dev = 0.0f;
-
- // Create and configure function
- FunctionType mean_std_dev;
- mean_std_dev.configure(&src, &mean, &std_dev);
-
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Allocate tensors
- src.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Fill tensors
- fill(AccessorType(src));
-
- // Compute function
- mean_std_dev.run();
-
- return std::make_pair(mean, std_dev);
- }
-
- std::pair<float, float> compute_reference(const TensorShape &shape, DataType data_type)
- {
- // Create reference
- SimpleTensor<T> src{ shape, data_type };
-
- // Fill reference
- fill(src);
-
- // Compute reference
- return reference::mean_and_standard_deviation<T>(src);
- }
-
- std::pair<float, float> _target{};
- std::pair<float, float> _reference{};
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_MEAN_STD_DEV_FIXTURE */