| /* |
| * Copyright (c) 2018-2019 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. |
| */ |
| #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/UpsampleLayer.h" |
| |
| #include <random> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class UpsampleLayerFixtureBase : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout, |
| Size2D info, const InterpolationPolicy &policy, QuantizationInfo quantization_info) |
| { |
| _data_type = data_type; |
| |
| _target = compute_target(input_shape, info, policy, data_type, data_layout, quantization_info); |
| _reference = compute_reference(input_shape, info, policy, data_type, quantization_info); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, int i) |
| { |
| if(_data_type == DataType::QASYMM8) |
| { |
| const auto bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f); |
| std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second); |
| library->fill(tensor, distribution, i); |
| } |
| else |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| } |
| |
| TensorType compute_target(TensorShape input_shape, const Size2D &info, const InterpolationPolicy &policy, |
| DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info) |
| { |
| TensorShape output_shape(input_shape); |
| output_shape.set(0, info.x() * input_shape[0]); |
| output_shape.set(1, info.y() * input_shape[1]); |
| |
| if(data_layout == DataLayout::NHWC) |
| { |
| permute(input_shape, PermutationVector(2U, 0U, 1U)); |
| permute(output_shape, PermutationVector(2U, 0U, 1U)); |
| } |
| |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, quantization_info, data_layout); |
| TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, quantization_info, data_layout); |
| |
| // Create and configure function |
| FunctionType upsample; |
| upsample.configure(&src, &dst, info, policy); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| fill(AccessorType(src), 0); |
| |
| // Compute DeconvolutionLayer function |
| upsample.run(); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &input_shape, const Size2D &info, const InterpolationPolicy &policy, |
| DataType data_type, QuantizationInfo quantization_info) |
| { |
| // Create reference |
| SimpleTensor<T> src{ input_shape, data_type, 1, quantization_info }; |
| |
| // Fill reference |
| fill(src, 0); |
| |
| return reference::upsample_layer<T>(src, info, policy); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| DataType _data_type{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class UpsampleLayerFixture : public UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout, |
| Size2D info, const InterpolationPolicy &policy) |
| { |
| UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>::setup(input_shape, data_type, data_layout, |
| info, policy, QuantizationInfo()); |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class UpsampleLayerQuantizedFixture : public UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout, |
| Size2D info, const InterpolationPolicy &policy, QuantizationInfo quantization_info) |
| { |
| UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>::setup(input_shape, data_type, data_layout, |
| info, policy, quantization_info); |
| } |
| }; |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |