From 5b7d537d918becb894d94d91726ce79e63d72fc1 Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Fri, 17 May 2019 14:04:22 +0100 Subject: COMPMID-2237 Implement SPACE_TO_DEPTH for NEON Change-Id: I9f427bceca6da52671e0096be08772612f4be152 Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/1227 Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins Reviewed-by: Michalis Spyrou --- .../NEON/kernels/NESpaceToDepthLayerKernel.cpp | 153 +++++++++++++++++++++ 1 file changed, 153 insertions(+) create mode 100644 src/core/NEON/kernels/NESpaceToDepthLayerKernel.cpp (limited to 'src/core/NEON/kernels/NESpaceToDepthLayerKernel.cpp') diff --git a/src/core/NEON/kernels/NESpaceToDepthLayerKernel.cpp b/src/core/NEON/kernels/NESpaceToDepthLayerKernel.cpp new file mode 100644 index 0000000000..4803365013 --- /dev/null +++ b/src/core/NEON/kernels/NESpaceToDepthLayerKernel.cpp @@ -0,0 +1,153 @@ +/* + * 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. + */ +#include "arm_compute/core/NEON/kernels/NESpaceToDepthLayerKernel.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/NEON/wrapper/wrapper.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.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->num_dimensions() > 4); + + ARM_COMPUTE_RETURN_ERROR_ON(block_shape < 1); + + // Validate output if initialized + if(output->total_size() != 0) + { + const DataLayout data_layout = input->data_layout(); + 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); + const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); + const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_width] % block_shape != 0); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_height] % block_shape != 0); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_batch] != output->tensor_shape()[idx_batch]); + ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_channel] % (block_shape * block_shape) != 0); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().total_size() != output->tensor_shape().total_size()); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + + return Status{}; +} +} // namespace + +NESpaceToDepthLayerKernel::NESpaceToDepthLayerKernel() + : _input(nullptr), _output(nullptr), _block_shape() +{ +} + +void NESpaceToDepthLayerKernel::configure(const ITensor *input, ITensor *output, int32_t block_shape) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + + TensorShape output_shape = misc::shape_calculator::compute_space_to_depth_shape(input->info(), block_shape); + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type()); + + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), block_shape)); + + _input = input; + _block_shape = block_shape; + _output = output; + + // Configure kernel window + Window win = calculate_max_window(*output->info(), Steps()); + INEKernel::configure(win); +} + +Status NESpaceToDepthLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, block_shape)); + return Status{}; +} + +void NESpaceToDepthLayerKernel::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 DataLayout data_layout = _input->info()->data_layout(); + const int channel_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); + const int element_size = _input->info()->element_size(); + + const size_t channel_size = _input->info()->dimension(channel_idx); + + Window slice_out = window.first_slice_window_3D(); + + int batch_id = 0; + + // Main loop for NCHW and NHWC + if(_output->info()->data_layout() == DataLayout::NCHW) + { + do + { + Iterator out(_output, slice_out); + execute_window_loop(slice_out, [&](const Coordinates & id) + { + const size_t channel_id = id.z(); + const size_t in_x = id.x() * _block_shape + (channel_id / channel_size) % _block_shape; + const size_t in_y = id.y() * _block_shape + (channel_id / channel_size) / _block_shape; + const int z = channel_id % channel_size; + Coordinates input_coords{ in_x, in_y, z, batch_id }; + memcpy(out.ptr(), _input->ptr_to_element(input_coords), element_size); + }, + out); + ++batch_id; + } + while(window.slide_window_slice_3D(slice_out)); + } + else + { + do + { + Iterator out(_output, slice_out); + execute_window_loop(slice_out, [&](const Coordinates & id) + { + const size_t channel_id = id.x(); + const size_t in_x = id.y() * _block_shape + (channel_id / channel_size) % _block_shape; + const size_t in_y = id.z() * _block_shape + (channel_id / channel_size) / _block_shape; + const int z = channel_id % channel_size; + Coordinates input_coords{ z, in_x, in_y, batch_id }; + memcpy(out.ptr(), _input->ptr_to_element(input_coords), element_size); + }, + out); + ++batch_id; + } + while(window.slide_window_slice_3D(slice_out)); + } +} +} // namespace arm_compute -- cgit v1.2.1