/* * Copyright (c) 2019-2020 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 "src/core/NEON/kernels/NEDepthToSpaceLayerKernel.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "src/core/NEON/wrapper/wrapper.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" #include #include using namespace arm_compute::misc::shape_calculator; namespace arm_compute { namespace { Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); ARM_COMPUTE_RETURN_ERROR_ON(block_shape < 2); const DataLayout data_layout = input->data_layout(); const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] % (block_shape * block_shape) != 0); // Validate output if initialized if(output->total_size() != 0) { const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_width] != (block_shape * input->tensor_shape()[idx_width])); ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_height] != (block_shape * input->tensor_shape()[idx_height])); ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); } return Status{}; } } // namespace NEDepthToSpaceLayerKernel::NEDepthToSpaceLayerKernel() : _input(nullptr), _output(nullptr), _block_shape(), _data_layout(DataLayout::UNKNOWN) { } void NEDepthToSpaceLayerKernel::configure(const ITensor *input, ITensor *output, int32_t block_shape) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); TensorShape output_shape = compute_depth_to_space_shape(input->info()->tensor_shape(), input->info()->data_layout(), block_shape); // Output auto inizialitation if not yet initialized auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); // Perform validation step ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), block_shape)); _input = input; _output = output; _block_shape = block_shape; _data_layout = input->info()->data_layout(); // Configure kernel window Window win = calculate_max_window(*input->info(), Steps()); ICPPKernel::configure(win); } Status NEDepthToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, block_shape)); return Status{}; } void NEDepthToSpaceLayerKernel::run(const Window &window, const ThreadInfo &info) { ARM_COMPUTE_UNUSED(info); ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window); const int idx_channel = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::CHANNEL); const int depth_size = _input->info()->dimension(idx_channel); const int r = (depth_size / (_block_shape * _block_shape)); const int element_size = _input->info()->element_size(); Window slice_out = window.first_slice_window_3D(); // The slice_out slice does not move slice_out.set(Window::DimX, Window::Dimension(0, 0, 0)); slice_out.set(Window::DimY, Window::Dimension(0, 0, 0)); slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); // Main loop for NCHW and NHWC if(_data_layout == DataLayout::NCHW) { Window slice_in = window.first_slice_window_2D(); do { Iterator in(_input, slice_in); execute_window_loop(slice_in, [&](const Coordinates & id) { const int x = id.x(); const int y = id.y(); const int z = id.z() % r; const int out_x = x * _block_shape + (id.z() / r) % _block_shape; const int out_y = y * _block_shape + (id.z() / r) / _block_shape; Coordinates output_coords{ out_x, out_y, z, id[3] }; memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size); }, in); } while(window.slide_window_slice_2D(slice_in)); } else { Window slice_in = window.first_slice_window_3D(); do { Iterator in(_input, slice_in); execute_window_loop(slice_in, [&](const Coordinates & id) { const int x = id.y(); const int y = id.z(); const int z = id.x() % r; const int out_x = x * _block_shape + (id.x() / r) % _block_shape; const int out_y = y * _block_shape + (id.x() / r) / _block_shape; Coordinates output_coords{ z, out_x, out_y, id[3] }; memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size); }, in); } while(window.slide_window_slice_3D(slice_in)); } } } // namespace arm_compute