From ba3682521398f228d6db6fb1bfbe464536b8d002 Mon Sep 17 00:00:00 2001 From: giuros01 Date: Tue, 19 Feb 2019 13:53:10 +0000 Subject: COMPMID-1947: Implement NESpaceToBatch Change-Id: I59b3c17874ba24559b7fddf74f7659a1b9177759 Signed-off-by: giuros01 Reviewed-on: https://review.mlplatform.org/c/735 Tested-by: Arm Jenkins Reviewed-by: Michalis Spyrou --- .../NEON/kernels/NESpaceToBatchLayerKernel.cpp | 233 +++++++++++++++++++++ 1 file changed, 233 insertions(+) create mode 100644 src/core/NEON/kernels/NESpaceToBatchLayerKernel.cpp (limited to 'src/core') diff --git a/src/core/NEON/kernels/NESpaceToBatchLayerKernel.cpp b/src/core/NEON/kernels/NESpaceToBatchLayerKernel.cpp new file mode 100644 index 0000000000..2e46b149e3 --- /dev/null +++ b/src/core/NEON/kernels/NESpaceToBatchLayerKernel.cpp @@ -0,0 +1,233 @@ +/* + * 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/NESpaceToBatchLayerKernel.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 *block_info, const ITensorInfo *padddings, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_info, padddings, output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(block_info, 1, DataType::S32); + ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); + ARM_COMPUTE_RETURN_ERROR_ON(block_info->num_dimensions() > 1); + ARM_COMPUTE_RETURN_ERROR_ON(padddings->num_dimensions() > 2); + ARM_COMPUTE_RETURN_ERROR_ON(padddings->tensor_shape()[1] != block_info->tensor_shape()[0]); + + // Validate output if initialized + if(output->total_size() != 0) + { + 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] != output->tensor_shape()[idx_channel]); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + + return Status{}; +} +Status validate_arguments_static(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, + const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_RETURN_ERROR_ON(block_shape_x < 1 || block_shape_y < 1); + ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); + + // 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(output->tensor_shape()[idx_width] < padding_left.x() + padding_right.y()); + ARM_COMPUTE_RETURN_ERROR_ON((input->tensor_shape()[idx_width] + padding_left.x() + padding_right.x()) % block_shape_x != 0); + ARM_COMPUTE_RETURN_ERROR_ON((input->tensor_shape()[idx_height] + padding_left.y() + padding_right.y()) % block_shape_y != 0); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] != output->tensor_shape()[idx_channel]); + ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_batch] % (block_shape_x * block_shape_y) != 0); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + + return Status{}; +} +} // namespace + +NESpaceToBatchLayerKernel::NESpaceToBatchLayerKernel() + : _input(nullptr), _block_shape(nullptr), _paddings(nullptr), _output(nullptr), _padding_left(), _block_shape_x(), _block_shape_y() +{ +} + +void NESpaceToBatchLayerKernel::configure(const ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), paddings->info(), output->info())); + + _input = input; + _block_shape = block_shape; + _paddings = paddings; + _output = output; + + // Configure kernel window + Window win = calculate_max_window(*output->info(), Steps()); + ICPPKernel::configure(win); +} + +void NESpaceToBatchLayerKernel::configure(const ITensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, + ITensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + + TensorShape output_shape = misc::shape_calculator::compute_space_to_batch_shape(input->info(), block_shape_x, block_shape_y, padding_left, padding_right); + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type()); + + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_static(input->info(), block_shape_x, block_shape_y, padding_left, padding_right, output->info())); + + _input = input; + _output = output; + _block_shape_x = block_shape_x; + _block_shape_y = block_shape_y; + _padding_left = padding_left; + + // Configure kernel window + Window win = calculate_max_window(*output->info(), Steps()); + INEKernel::configure(win); +} + +Status NESpaceToBatchLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, paddings, output)); + return Status{}; +} +Status NESpaceToBatchLayerKernel::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, + const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, padding_left, padding_right, output)); + return Status{}; +} + +void NESpaceToBatchLayerKernel::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); + + if(_block_shape != nullptr) + { + // Retrieve the block shapes dynamically + _block_shape_x = *(reinterpret_cast(_block_shape->ptr_to_element(0))); + _block_shape_y = *(reinterpret_cast(_block_shape->ptr_to_element(1))); + } + + if(_paddings != nullptr) + { + const size_t pad_left_x = *reinterpret_cast(_paddings->ptr_to_element({ 0, 0 })); + const size_t pad_left_y = *reinterpret_cast(_paddings->ptr_to_element({ 1, 0 })); + _padding_left = Size2D(pad_left_x, pad_left_y); + } + const DataLayout data_layout = _input->info()->data_layout(); + const int height_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); + const int width_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); + const int element_size = _input->info()->element_size(); + + const size_t height = _input->info()->dimension(height_idx); + const size_t width = _input->info()->dimension(width_idx); + const size_t batch_size = _input->info()->dimension(3); + + Window slice_out = window.first_slice_window_3D(); + Window slice_in = window.first_slice_window_4D(); + + slice_in.set(Window::DimX, Window::Dimension(0, 0, 0)); + slice_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + slice_in.set(3, Window::Dimension(0, 0, 0)); + + 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 out_x = id.x(); + const size_t out_y = id.y(); + const size_t z = id.z(); + const size_t pos_x = out_x * _block_shape_x + (batch_id / batch_size) % _block_shape_x; + const size_t pos_y = out_y * _block_shape_y + (batch_id / batch_size) / _block_shape_x; + if(pos_y >= _padding_left.y() && pos_y < _padding_left.y() + height && pos_x >= _padding_left.x() && pos_x < _padding_left.x() + width) + { + const int w = batch_id % batch_size; + const int in_x = pos_x - _padding_left.x(); + const int in_y = pos_y - _padding_left.y(); + Coordinates input_coords{ in_x, in_y, z, w }; + 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 out_x = id.y(); + const size_t out_y = id.z(); + const size_t z = id.x(); + const size_t pos_x = out_x * _block_shape_x + (batch_id / batch_size) % _block_shape_x; + const size_t pos_y = out_y * _block_shape_y + (batch_id / batch_size) / _block_shape_x; + if(pos_y >= _padding_left.y() && pos_y < _padding_left.y() + height && pos_x >= _padding_left.x() && pos_x < _padding_left.x() + width) + { + const int w = batch_id % batch_size; + const int in_x = pos_x - _padding_left.x(); + const int in_y = pos_y - _padding_left.y(); + Coordinates input_coords{ z, in_x, in_y, w }; + 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