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Diffstat (limited to 'tests/validation/fixtures/MaxUnpoolingLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/MaxUnpoolingLayerFixture.h | 162 |
1 files changed, 162 insertions, 0 deletions
diff --git a/tests/validation/fixtures/MaxUnpoolingLayerFixture.h b/tests/validation/fixtures/MaxUnpoolingLayerFixture.h new file mode 100644 index 0000000000..808e3ffabd --- /dev/null +++ b/tests/validation/fixtures/MaxUnpoolingLayerFixture.h @@ -0,0 +1,162 @@ +/* + * Copyright (c) 2020-2021, 2023 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_POOLING_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "arm_compute/runtime/Tensor.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/reference/MaxUnpoolingLayer.h" +#include "tests/validation/reference/PoolingLayer.h" +#include <random> +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename PoolingFunctionType, typename MaxUnpoolingFunctionType, typename T> +class MaxUnpoolingLayerValidationGenericFixture : public framework::Fixture +{ +public: + void setup(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type, DataLayout data_layout) + { + std::mt19937 gen(library->seed()); + std::uniform_int_distribution<> offset_dis(0, 20); + const float scale = data_type == DataType::QASYMM8_SIGNED ? 1.f / 127.f : 1.f / 255.f; + const int scale_in = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); + const int scale_out = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); + const QuantizationInfo input_qinfo(scale, scale_in); + const QuantizationInfo output_qinfo(scale, scale_out); + _pool_info = pool_info; + _target = compute_target(shape, pool_info, data_type, data_layout, input_qinfo, output_qinfo); + _reference = compute_reference(shape, pool_info, data_type, input_qinfo, output_qinfo); + } + +protected: + template <typename U> + void fill(U &&tensor) + { + if(tensor.data_type() == DataType::F32) + { + std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); + library->fill(tensor, distribution, 0); + } + else if(tensor.data_type() == DataType::F16) + { + arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; + library->fill(tensor, distribution, 0); + } + else // data type is quantized_asymmetric + { + library->fill_tensor_uniform(tensor, 0); + } + } + + TensorType compute_target(TensorShape input_shape, PoolingLayerInfo pool_info, + DataType data_type, DataLayout data_layout, + QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) + { + // Change shape in case of NHWC. + if(data_layout == DataLayout::NHWC) + { + permute(input_shape, PermutationVector(2U, 0U, 1U)); + } + + // Create tensors + TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, input_qinfo, data_layout); + const TensorShape dst_shape = misc::shape_calculator::compute_pool_shape(*(src.info()), pool_info); + TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, data_layout); + TensorType unpooled = create_tensor<TensorType>(input_shape, data_type, 1, output_qinfo, data_layout); + TensorType indices = create_tensor<TensorType>(dst_shape, DataType::U32, 1, output_qinfo, data_layout); + + // Create and configure function + PoolingFunctionType pool_layer; + pool_layer.configure(&src, &dst, pool_info, &indices); + // Create and configure function + + MaxUnpoolingFunctionType unpool_layer; + unpool_layer.configure(&dst, &indices, &unpooled, pool_info); + + ARM_COMPUTE_ASSERT(src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); + ARM_COMPUTE_ASSERT(indices.info()->is_resizable()); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + indices.allocator()->allocate(); + unpooled.allocator()->allocate(); + + ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!indices.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!unpooled.info()->is_resizable()); + + // Fill tensors + fill(AccessorType(src)); + + // Compute function + pool_layer.run(); + unpool_layer.run(); + return unpooled; + } + + SimpleTensor<T> compute_reference(TensorShape input_shape, PoolingLayerInfo info, DataType data_type, + QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) + { + SimpleTensor<T> src(input_shape, data_type, 1, input_qinfo); + SimpleTensor<uint32_t> indices{}; + // Fill reference + fill(src); + auto pooled_tensor = reference::pooling_layer<T>(src, info, output_qinfo, &indices); + return reference::max_unpooling_layer<T>(pooled_tensor, info, output_qinfo, indices, input_shape); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + PoolingLayerInfo _pool_info{}; +}; + +template <typename TensorType, typename AccessorType, typename F1, typename F2, typename T> +class MaxUnpoolingLayerValidationFixture : public MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T> +{ +public: + void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, DataType data_type, DataLayout data_layout) + { + MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, true), + data_type, data_layout); + } +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE */ |