97 lines
3.0 KiB
C++
97 lines
3.0 KiB
C++
/*
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* Copyright (c) 2019 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_FILL_FIXTURE
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#define ARM_COMPUTE_TEST_FILL_FIXTURE
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/IAccessor.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class FillFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(TensorShape input_shape, DataType data_type)
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{
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_target = compute_target(input_shape, data_type);
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_reference = compute_reference(input_shape, data_type);
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}
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protected:
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TensorType compute_target(const TensorShape &input_shape, DataType data_type)
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{
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// Create tensors
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TensorType input = create_tensor<TensorType>(input_shape, data_type);
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// Allocate tensors
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input.allocator()->allocate();
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// Fill tensor with an initial value
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library->fill_tensor_uniform(AccessorType(input), 0);
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// Create and configure function
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FunctionType fill;
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const T constant_value {1};
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fill.configure(&input, constant_value);
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// Compute function with a distinct, second value
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fill.run();
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return input;
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}
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SimpleTensor<T> compute_reference(const TensorShape &input_shape, DataType data_type)
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{
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// Create reference
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SimpleTensor<T> input{ input_shape, data_type };
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// Fill tensor
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const T constant_value {1};
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for(int i = 0; i < input.num_elements(); ++i)
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{
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input[i] = constant_value;
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}
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return input;
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}
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TensorType _target{};
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SimpleTensor<T> _reference{};
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_FILL_FIXTURE */
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