| /* |
| * Copyright (c) 2018-2019 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/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" |
| |
| 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) |
| { |
| 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 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("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 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("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); |
| } |
| 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); |
| } |
| while(collapsed.slide_window_slice_3D(slice)); |
| } |
| } |
| } // namespace arm_compute |