149 lines
5.7 KiB
C++
149 lines
5.7 KiB
C++
/*
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* Copyright (c) 2018-2020 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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#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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#include "tests/validation/Helpers.h"
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#include "tests/validation/reference/UpsampleLayer.h"
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#include <random>
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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 UpsampleLayerFixtureBase : 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, DataLayout data_layout,
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Size2D info, const InterpolationPolicy &policy, QuantizationInfo quantization_info)
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{
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_data_type = data_type;
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_target = compute_target(input_shape, info, policy, data_type, data_layout, quantization_info);
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_reference = compute_reference(input_shape, info, policy, data_type, quantization_info);
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}
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protected:
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template <typename U>
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void fill(U &&tensor, int i)
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{
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library->fill_tensor_uniform(tensor, i);
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}
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TensorType compute_target(TensorShape input_shape, const Size2D &info, const InterpolationPolicy &policy,
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DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info)
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{
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TensorShape output_shape(input_shape);
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output_shape.set(0, info.x() * input_shape[0]);
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output_shape.set(1, info.y() * input_shape[1]);
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if(data_layout == DataLayout::NHWC)
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{
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permute(input_shape, PermutationVector(2U, 0U, 1U));
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permute(output_shape, PermutationVector(2U, 0U, 1U));
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}
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// Create tensors
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TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, quantization_info, data_layout);
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TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, quantization_info, data_layout);
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// Create and configure function
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FunctionType upsample;
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upsample.configure(&src, &dst, info, policy);
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ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Allocate tensors
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src.allocator()->allocate();
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dst.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Fill tensors
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fill(AccessorType(src), 0);
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// Compute DeconvolutionLayer function
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upsample.run();
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return dst;
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}
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SimpleTensor<T> compute_reference(const TensorShape &input_shape, const Size2D &info, const InterpolationPolicy &policy,
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DataType data_type, QuantizationInfo quantization_info)
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{
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// Create reference
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SimpleTensor<T> src{ input_shape, data_type, 1, quantization_info };
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// Fill reference
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fill(src, 0);
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return reference::upsample_layer<T>(src, info, policy);
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}
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TensorType _target{};
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SimpleTensor<T> _reference{};
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DataType _data_type{};
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class UpsampleLayerFixture : public UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>
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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, DataLayout data_layout,
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Size2D info, const InterpolationPolicy &policy)
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{
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UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>::setup(input_shape, data_type, data_layout,
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info, policy, QuantizationInfo());
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}
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class UpsampleLayerQuantizedFixture : public UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>
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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, DataLayout data_layout,
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Size2D info, const InterpolationPolicy &policy, QuantizationInfo quantization_info)
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{
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UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>::setup(input_shape, data_type, data_layout,
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info, policy, quantization_info);
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}
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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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