From d69b3b2db4b359d4e68cf786a294fa1d7d4db2d0 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Wed, 29 May 2019 17:03:38 +0100 Subject: COMPMID-2238: Implement SPACE_TO_DEPTH for CL Change-Id: I2f971d6902a64ee40820b6959e9b0b4224da6947 Signed-off-by: Michalis Spyrou Reviewed-on: https://review.mlplatform.org/c/1283 Comments-Addressed: Arm Jenkins Reviewed-by: Georgios Pinitas Tested-by: Arm Jenkins --- src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp | 129 ++++++++++++++++++++++ 1 file changed, 129 insertions(+) create mode 100644 src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp (limited to 'src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp') diff --git a/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp new file mode 100644 index 0000000000..57d8305e47 --- /dev/null +++ b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp @@ -0,0 +1,129 @@ +/* + * 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/CL/kernels/CLSpaceToDepthLayerKernel.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLValidate.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" + +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 + +CLSpaceToDepthLayerKernel::CLSpaceToDepthLayerKernel() + : _input(nullptr), _output(nullptr), _block_shape() +{ +} + +void CLSpaceToDepthLayerKernel::configure(const ICLTensor *input, ICLTensor *output, int32_t block_shape) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + + TensorShape output_shape = compute_depth_to_space_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; + _output = output; + _block_shape = block_shape; + + const int idx_width = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::WIDTH); + const int idx_channel = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::CHANNEL); + + // Create kernel + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(output->info()->data_type())); + build_opts.add_option("-DCHANNEL_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_channel))); + build_opts.add_option("-DBLOCK_SHAPE=" + support::cpp11::to_string(block_shape)); + build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(output->info()->dimension(idx_width))); + _kernel = static_cast(CLKernelLibrary::get().create_kernel("space_to_depth_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options())); + + // Configure kernel window + Window win = calculate_max_window(*output->info(), Steps()); + ICLKernel::configure_internal(win); +} + +Status CLSpaceToDepthLayerKernel::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 CLSpaceToDepthLayerKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + 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; + do + { + unsigned int idx = 0; + add_4D_tensor_argument(idx, _input, slice_in); + add_argument(idx, batch_id); + add_3D_tensor_argument(idx, _output, slice_out); + enqueue(queue, *this, slice_out); + + ++batch_id; + } + while(window.slide_window_slice_3D(slice_out)); +} +} // namespace arm_compute -- cgit v1.2.1