/* * 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 namespace arm_compute { namespace test { namespace validation { template class UpsampleLayerFixtureBase : public framework::Fixture { public: template 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 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 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(input_shape, data_type, 1, quantization_info, data_layout); TensorType dst = create_tensor(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 compute_reference(const TensorShape &input_shape, const Size2D &info, const InterpolationPolicy &policy, DataType data_type, QuantizationInfo quantization_info) { // Create reference SimpleTensor src{ input_shape, data_type, 1, quantization_info }; // Fill reference fill(src, 0); return reference::upsample_layer(src, info, policy); } TensorType _target{}; SimpleTensor _reference{}; DataType _data_type{}; }; template class UpsampleLayerFixture : public UpsampleLayerFixtureBase { public: template void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout, Size2D info, const InterpolationPolicy &policy) { UpsampleLayerFixtureBase::setup(input_shape, data_type, data_layout, info, policy, QuantizationInfo()); } }; template class UpsampleLayerQuantizedFixture : public UpsampleLayerFixtureBase { public: template void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout, Size2D info, const InterpolationPolicy &policy, QuantizationInfo quantization_info) { UpsampleLayerFixtureBase::setup(input_shape, data_type, data_layout, info, policy, quantization_info); } }; } // namespace validation } // namespace test } // namespace arm_compute