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Diffstat (limited to 'src/core/CL/kernels/CLCopyKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLCopyKernel.cpp | 286 |
1 files changed, 0 insertions, 286 deletions
diff --git a/src/core/CL/kernels/CLCopyKernel.cpp b/src/core/CL/kernels/CLCopyKernel.cpp deleted file mode 100644 index a864502a5f..0000000000 --- a/src/core/CL/kernels/CLCopyKernel.cpp +++ /dev/null @@ -1,286 +0,0 @@ -/* - * Copyright (c) 2018-2020 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 "arm_compute/core/CL/kernels/CLCopyKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLKernelLibrary.h" -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "support/StringSupport.h" - -namespace arm_compute -{ -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding = PaddingList(), Window *output_window = nullptr) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_ERROR_ON(!padding.empty() && output_window != nullptr); - ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 4); - - // Validate output if initialized - if(output->total_size() != 0) - { - if(output_window == nullptr) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding), output->tensor_shape()); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(input->tensor_shape(), output_window->shape()); - } - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, Window *output_window) -{ - // Output auto inizialitation if not yet initialized - auto_init_if_empty(*output, *input); - - // Configure window - const unsigned int vec_size_x = 16 / input->element_size(); - - if(output_window == nullptr) - { - // Create and update the window (if needed) - Window win = calculate_max_window(*input, Steps(vec_size_x)); - - AccessWindowHorizontal input_access(input, 0, vec_size_x); - AccessWindowHorizontal output_access(output, 0, vec_size_x); - - bool window_changed = update_window_and_padding(win, input_access, output_access); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); - } - else - { - Window win = calculate_max_window(*input); - return std::make_pair(Status{}, win); - } -} - -std::pair<Status, Window> validate_and_configure_window_with_padding(ITensorInfo *input, ITensorInfo *output, const PaddingList &padding) -{ - TensorShape input_shape = input->tensor_shape(); - TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(input_shape, padding); - - auto_init_if_empty(*output, input->clone()->set_tensor_shape(padded_shape)); - - // Configure window - const unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); - - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); - - // Pad on the x dimension accounting for the padding offset along the same dimension - AccessWindowHorizontal output_access(output, padding[0].first, num_elems_processed_per_iteration); - AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); - bool window_changed = update_window_and_padding(win, input_access, output_access); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} - -/** Generate the string "-DPAD= @p dim @p index @p padding" - * - * @param[in] dim The dimension index - * @param[in] index Can be 0 for the start dimension and 1 for the end dimension - * @param[in] padding The value to pad for that index/dimension pair - * - * @return The correct concatenated string - */ -std::string generate_pad_string(const size_t dim, const size_t index, const size_t padding) -{ - return "-DPAD" + support::cpp11::to_string(dim) + support::cpp11::to_string(index) + "=" + support::cpp11::to_string(padding); -} - -/** Pass the padding as build option to the kernel. - * - * @param[in] tensor The padded tensor - * @param[in] padding The list of the padding for each dimension - * @param[out] build_opts The build option to which adding the padding - */ -void add_padding_as_build_options(const PaddingList &padding, CLBuildOptions &build_opts) -{ - size_t dim = 0; - for(dim = 0; dim < padding.size(); dim++) - { - build_opts.add_option(generate_pad_string(dim, 0, padding[dim].first)); - build_opts.add_option(generate_pad_string(dim, 1, padding[dim].second)); - } - - while(dim < TensorShape::num_max_dimensions) - { - build_opts.add_option(generate_pad_string(dim, 0, 0)); - build_opts.add_option(generate_pad_string(dim, 1, 0)); - dim++; - } -} - -} // namespace - -CLCopyKernel::CLCopyKernel() - : _input(nullptr), _output(nullptr), _output_window(), _has_output_window(false) -{ -} - -void CLCopyKernel::configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding, Window *output_window) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, output, padding, output_window); -} - -void CLCopyKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, Window *output_window) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), padding, output_window)); - - _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())); - - std::pair<Status, Window> win_config; - - const unsigned int vec_size_x = 16 / input->info()->element_size(); - - if(padding.empty()) - { - // Configure window - win_config = validate_and_configure_window(input->info(), output->info(), output_window); - - if(output_window != nullptr) - { - _has_output_window = true; - _output_window = Window(*output_window); - const int width_x = output_window->num_iterations(0); - const bool multi_access_x = width_x >= static_cast<int32_t>(vec_size_x); - const bool remainder_x = width_x % vec_size_x > 0; - - if(multi_access_x) - { - _output_window.set(Window::DimX, Window::Dimension(output_window->x().start(), ceil_to_multiple(output_window->x().end(), vec_size_x), vec_size_x)); - win_config.second.set(Window::DimX, Window::Dimension(win_config.second.x().start(), ceil_to_multiple(win_config.second.x().end(), vec_size_x), vec_size_x)); - } - - build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); - build_opts.add_option_if(multi_access_x && remainder_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(width_x - vec_size_x, 0))); - } - else - { - build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); - } - - // Build kernel - _kernel = create_kernel(compile_context, "copy_tensor", build_opts.options()); - } - else - { - build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); - - // Add compile time options - add_padding_as_build_options(padding, build_opts); - - // If we are padding in the fourth dimension the kernel needs to know the depth of the - // different cubes - if(padding.size() == 4) - { - const size_t depth = input->info()->tensor_shape()[2]; - build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(depth)); - } - - // Build kernel - _kernel = create_kernel(compile_context, "copy_pad_tensor", build_opts.options()); - - // Configure window - win_config = validate_and_configure_window_with_padding(input->info(), output->info(), padding); - } - - // Validate and set the window - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - ICLKernel::configure_internal(win_config.second); -} - -Status CLCopyKernel::validate(const arm_compute::ITensorInfo *input, const arm_compute::ITensorInfo *output, const PaddingList &padding, Window *output_window) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding, output_window)); - - if(padding.empty()) - { - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), output_window).first); - } - else - { - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_with_padding(input->clone().get(), output->clone().get(), padding).first); - } - - return Status{}; -} - -void CLCopyKernel::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; - - if(_has_output_window) - { - slice = window.first_slice_window_3D(); - Window out_slice = _output_window.first_slice_window_3D(); - do - { - unsigned int idx = 0; - add_3D_tensor_argument(idx, _input, slice); - add_3D_tensor_argument(idx, _output, out_slice); - enqueue(queue, *this, slice, lws_hint()); - } - while(window.slide_window_slice_3D(slice) && _output_window.slide_window_slice_3D(out_slice)); - } - else - { - Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); - slice = collapsed.first_slice_window_3D(); - do - { - unsigned int idx = 0; - add_3D_tensor_argument(idx, _input, slice); - add_3D_tensor_argument(idx, _output, slice); - enqueue(queue, *this, slice, lws_hint()); - } - while(collapsed.slide_window_slice_3D(slice)); - } -} -} // namespace arm_compute |