/* * Copyright (c) 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. */ #ifndef ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE #define ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE #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/RawLutAccessor.h" #include "tests/framework/Asserts.h" #include "tests/framework/Fixture.h" #include "tests/validation/Helpers.h" #include "tests/validation/reference/CropResize.h" #include "tests/validation/reference/Permute.h" namespace arm_compute { namespace test { namespace validation { template class CropResizeFixture : public framework::Fixture { public: template void setup(TensorShape src_shape, TensorShape boxes_shape, Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value, bool is_outside_bounds, DataType data_type) { _target = compute_target(src_shape, boxes_shape, crop_size, method, extrapolation_value, is_outside_bounds, data_type); _reference = compute_reference(src_shape, boxes_shape, crop_size, method, extrapolation_value, is_outside_bounds, data_type); } protected: template void fill(U &&tensor, int i) { library->fill_tensor_uniform(tensor, i); } template void fill(U &&tensor, int i, V min, V max) { library->fill_tensor_uniform(tensor, i, min, max); } TensorType compute_target(const TensorShape &src_shape, const TensorShape &boxes_shape, const Coordinates2D &crop_size, InterpolationPolicy method, float extrapolation_value, bool is_outside_bounds, DataType data_type) { TensorShape dst_shape(src_shape[0], crop_size.x, crop_size.y, boxes_shape[1]); // Create tensors TensorType src = create_tensor(src_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC); TensorType boxes = create_tensor(boxes_shape, DataType::F32); TensorType boxes_ind = create_tensor(TensorShape(boxes_shape[1]), DataType::S32); TensorType dst = create_tensor(dst_shape, DataType::F32, 1, QuantizationInfo(), DataLayout::NHWC); // Create and configure function FunctionType crop; crop.configure(&src, &boxes, &boxes_ind, &dst, crop_size, method, extrapolation_value); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(boxes.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(boxes_ind.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Allocate tensors src.allocator()->allocate(); boxes.allocator()->allocate(); boxes_ind.allocator()->allocate(); dst.allocator()->allocate(); ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(!boxes.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(!boxes_ind.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Fill tensors fill(AccessorType(src), 0); fill(AccessorType(boxes), 1, is_outside_bounds ? 0.0f - out_of_bounds_reach : 0.0f, is_outside_bounds ? 1.0f + out_of_bounds_reach : 1.0f); fill(AccessorType(boxes_ind), 2, 0, static_cast(src_shape[3] - 1)); // Compute function crop.run(); return dst; } SimpleTensor compute_reference(const TensorShape &src_shape, const TensorShape &boxes_shape, const Coordinates2D &crop_size, InterpolationPolicy method, float extrapolation_value, bool is_outside_bounds, DataType data_type) { // Create reference SimpleTensor src{ src_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC }; SimpleTensor boxes{ boxes_shape, DataType::F32 }; SimpleTensor boxes_ind{ TensorShape(boxes_shape[1]), DataType::S32 }; // Fill reference fill(src, 0); fill(boxes, 1, is_outside_bounds ? 0.0f - out_of_bounds_reach : 0.0f, is_outside_bounds ? 1.0f + out_of_bounds_reach : 1.0f); fill(boxes_ind, 2, 0, static_cast(src.shape()[3] - 1)); SimpleTensor output = reference::crop_and_resize(src, boxes, boxes_ind, crop_size, method, extrapolation_value); SimpleTensor permuted = reference::permute(output, PermutationVector(1, 2U, 0U)); return permuted; } constexpr static float out_of_bounds_reach = 2.0f; TensorType _target{}; SimpleTensor _reference{}; }; } // namespace validation } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE */