From 6a8d3b6db13042a859972c33cf40cfeb6d7cfcda Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Fri, 31 Aug 2018 10:07:09 +0100 Subject: COMPMID-1218 Implementing Batch to Space on OpenCL Change-Id: I12ba4c0c35f086ea3f395970b85af5bf8f94850b Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145052 Reviewed-by: Pablo Tello Tested-by: Jenkins --- src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp | 172 ++++++++++++++++++++++ 1 file changed, 172 insertions(+) create mode 100644 src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp (limited to 'src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp') diff --git a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp new file mode 100644 index 0000000000..e08d6f6ec5 --- /dev/null +++ b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp @@ -0,0 +1,172 @@ +/* + * Copyright (c) 2018 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/CLBatchToSpaceLayerKernel.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 *block_info, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_info, 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); + + // Validate output if initialized + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4); + 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 ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); + ARM_COMPUTE_RETURN_ERROR_ON(block_shape_x <= 0); + ARM_COMPUTE_RETURN_ERROR_ON(block_shape_y <= 0); + + // Validate output if initialized + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[0] != (block_shape_x * output->tensor_shape()[0])); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[1] != (block_shape_x * output->tensor_shape()[1])); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[2] != output->tensor_shape()[2]); + ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[3] % (block_shape_x * block_shape_y) != 0); + ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + + return Status{}; +} +} // namespace + +CLBatchToSpaceLayerKernel::CLBatchToSpaceLayerKernel() + : _input(nullptr), _block_shape(nullptr), _output(nullptr) +{ +} + +void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), output->info())); + + _input = input; + _block_shape = block_shape; + _output = output; + + // Create kernel + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); + build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(input->info()->dimension(3))); + build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(0))); + _kernel = static_cast(CLKernelLibrary::get().create_kernel("batch_to_space", build_opts.options())); + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + ICLKernel::configure_internal(win); +} + +void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + + TensorShape output_shape = compute_batch_to_space_shape(input->info(), block_shape_x, block_shape_y); + 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, output->info())); + + _input = input; + _output = output; + + // Create kernel + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); + build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(input->info()->dimension(3))); + build_opts.add_option("-DBLOCK_SHAPE_X=" + support::cpp11::to_string(block_shape_x)); + build_opts.add_option("-DBLOCK_SHAPE_Y=" + support::cpp11::to_string(block_shape_y)); + build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(0))); + _kernel = static_cast(CLKernelLibrary::get().create_kernel("batch_to_space_static", build_opts.options())); + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + ICLKernel::configure_internal(win); +} + +Status CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_shape, output); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, output)); + return Status{}; +} + +Status CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const int32_t block_shape_x, const int32_t block_shape_y, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, output)); + return Status{}; +} + +void CLBatchToSpaceLayerKernel::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_in = window.first_slice_window_3D(); + Window slice_out = window.first_slice_window_4D(); + + Window vector_slice = window.first_slice_window_1D(); + vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0)); + + 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)); + slice_out.set(3, Window::Dimension(0, 0, 0)); + + int batch_id = 0; + do + { + unsigned int idx = 0; + add_3D_tensor_argument(idx, _input, slice_in); + add_argument(idx, batch_id); + if(_block_shape != nullptr) + { + add_1D_tensor_argument(idx, _block_shape, vector_slice); + } + add_4D_tensor_argument(idx, _output, slice_out); + enqueue(queue, *this, slice_in); + + ++batch_id; + } + while(window.slide_window_slice_3D(slice_in)); +} +} // namespace arm_compute -- cgit v1.2.1