diff options
Diffstat (limited to 'src/core/gpu/cl/kernels/ClWinogradOutputTransformKernel.cpp')
| -rw-r--r-- | src/core/gpu/cl/kernels/ClWinogradOutputTransformKernel.cpp | 263 |
1 files changed, 0 insertions, 263 deletions
diff --git a/src/core/gpu/cl/kernels/ClWinogradOutputTransformKernel.cpp b/src/core/gpu/cl/kernels/ClWinogradOutputTransformKernel.cpp deleted file mode 100644 index a6c05420ed..0000000000 --- a/src/core/gpu/cl/kernels/ClWinogradOutputTransformKernel.cpp +++ /dev/null @@ -1,263 +0,0 @@ -/* - * Copyright (c) 2018-2021 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 "src/core/gpu/cl/kernels/ClWinogradOutputTransformKernel.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/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "src/core/AccessWindowStatic.h" -#include "src/core/CL/CLValidate.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" -#include "support/Cast.h" -#include "support/StringSupport.h" - -#include <cmath> - -using namespace arm_compute::misc::shape_calculator; - -namespace arm_compute -{ -namespace opencl -{ -namespace kernels -{ -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) -{ - ARM_COMPUTE_UNUSED(act_info); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16); - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); - - ARM_COMPUTE_RETURN_ERROR_ON(output->data_layout() != winograd_info.output_data_layout); - - const PadStrideInfo conv_info = winograd_info.convolution_info; - const Size2D output_tile_size = winograd_info.output_tile_size; - const Size2D kernel_size = winograd_info.kernel_size; - const Size2D input_dimensions = winograd_info.input_dimensions; - const unsigned int num_channels = (winograd_info.kernel_size.width + winograd_info.output_tile_size.width - 1) * (winograd_info.kernel_size.height + winograd_info.output_tile_size.height - 1); - - ARM_COMPUTE_RETURN_ERROR_ON_MSG(!cl_winograd_convolution_layer_supported(output_tile_size, kernel_size, winograd_info.output_data_layout), "Winograd output transform not supported"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->dimension(2) != num_channels, "Wrong number of channels"); - - // Compute number of elements to process in the X and Y direction - // Compute the number of output tiles along the x and y direction of size "output_tile_size" - const Size2D num_tiles = compute_winograd_convolution_tiles(input_dimensions, - kernel_size, - output_tile_size, - conv_info); - - ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(1) != static_cast<unsigned int>((num_tiles.area()))); - - if(bias != nullptr) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias); - ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != bias->dimension(0)); - } - - // Checks performed when output is configured - if(output->total_size() != 0) - { - const TensorInfo tensor_info_output = input->clone()->set_tensor_shape(compute_winograd_output_transform_shape(*input, winograd_info)); - - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output, const Size2D &output_tile_size) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_UNUSED(bias); - - constexpr unsigned int num_elems_processed_per_iteration = 1; - - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); - bool window_changed = false; - - if(output->data_layout() == DataLayout::NCHW) - { - const int output_static_window_end_x = ceil_to_multiple(output->dimension(0), output_tile_size.width); - const int output_static_window_end_y = ceil_to_multiple(output->dimension(1), output_tile_size.height); - - AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration, num_elems_processed_per_iteration); - AccessWindowStatic output_access(output, 0, 0, output_static_window_end_x, output_static_window_end_y); - 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); -} -} // namespace - -void ClWinogradOutputTransformKernel::configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *bias, ITensorInfo *dst, const WinogradInfo &winograd_info, - const ActivationLayerInfo &act_info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); - - // Output tensor auto initialization if not yet initialized - auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_winograd_output_transform_shape(*src, winograd_info))); - - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, bias, dst, winograd_info, act_info)); - - // Configure kernel window - auto win_config = validate_and_configure_window(src, bias, dst, winograd_info.output_tile_size); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - IClKernel::configure_internal(win_config.second); - - auto padding_info = get_padding_info({ src, bias, dst }); - - _is_nhwc = winograd_info.output_data_layout == DataLayout::NHWC; - - // Compute num_tiles_x - const Size2D input_dimensions = winograd_info.input_dimensions; - const Size2D kernel_size = winograd_info.kernel_size; - const Size2D output_tile_size = winograd_info.output_tile_size; - const PadStrideInfo conv_info = winograd_info.convolution_info; - const int idx_width = get_data_layout_dimension_index(winograd_info.output_data_layout, DataLayoutDimension::WIDTH); - const int idx_height = get_data_layout_dimension_index(winograd_info.output_data_layout, DataLayoutDimension::HEIGHT); - - // Compute the number of output tiles along the x and y direction of size "output_tile_size" - const Size2D num_tiles = compute_winograd_convolution_tiles(input_dimensions, - kernel_size, - output_tile_size, - conv_info); - const size_t total_batches = dst->tensor_shape().total_size_upper(3); - - // Set build options - CLBuildOptions build_opts; - build_opts.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(act_info.activation()))); - build_opts.add_option_if(act_info.enabled(), "-DA_VAL=" + float_to_string_with_full_precision(act_info.a())); - build_opts.add_option_if(act_info.enabled(), "-DB_VAL=" + float_to_string_with_full_precision(act_info.b())); - - if((output_tile_size.x() == 2) || (output_tile_size.x() == 1 && output_tile_size.y() == 2)) - { - build_opts.add_option("-DVEC_SIZE=2"); - } - else if((output_tile_size.x() == 4) || (output_tile_size.x() == 1 && output_tile_size.y() == 4)) - { - build_opts.add_option("-DVEC_SIZE=4"); - } - - build_opts.add_option_if(bias != nullptr, std::string("-DHAS_BIAS")); - build_opts.add_option("-cl-fast-relaxed-math"); - build_opts.add_option("-DN0=" + support::cpp11::to_string(win_config.second.x().step())); - build_opts.add_option("-DNUM_TILES_X=" + support::cpp11::to_string(num_tiles.width)); - build_opts.add_option("-DOUTPUT_TILE_W=" + support::cpp11::to_string(output_tile_size.width)); - build_opts.add_option("-DOUTPUT_TILE_H=" + support::cpp11::to_string(output_tile_size.height)); - build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type())); - build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(src->dimension(1))); - build_opts.add_option("-DDST_WIDTH=" + support::cpp11::to_string(dst->dimension(idx_width))); - build_opts.add_option("-DDST_HEIGHT=" + support::cpp11::to_string(dst->dimension(idx_height))); - build_opts.add_option_if(total_batches > 1, "-DSRC_DEPTH=" + support::cpp11::to_string(src->dimension(2))); - build_opts.add_option_if(winograd_info.kernel_size.height == 1, "-DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL"); - build_opts.add_option_if(winograd_info.kernel_size.width == 1, "-DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL"); - - // Create kernel - std::string kernel_name = "winograd_output_transform_" + output_tile_size.to_string() + "_" + kernel_size.to_string() + "_" + lower_string(string_from_data_layout(winograd_info.output_data_layout)); - _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); - - // Set config_id for enabling LWS tuning - _config_id = kernel_name; - _config_id += "_"; - _config_id += lower_string(string_from_data_type(src->data_type())); - _config_id += "_"; - _config_id += support::cpp11::to_string(src->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(src->dimension(1)); - _config_id += "_"; - _config_id += support::cpp11::to_string(dst->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(dst->dimension(1)); - _config_id += "_"; - _config_id += lower_string(string_from_data_layout(winograd_info.output_data_layout)); - - ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info) && _is_nhwc); -} - -Status ClWinogradOutputTransformKernel::validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, (bias != nullptr ? bias->clone().get() : nullptr), dst, winograd_info, act_info)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), (bias != nullptr ? bias->clone().get() : nullptr), dst->clone().get(), winograd_info.output_tile_size).first); - return Status{}; -} - -void ClWinogradOutputTransformKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IClKernel::window(), window); - - auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); - auto bias = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); - auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); - - // Collapse window - Window window_collapsed = window.collapse_if_possible(IClKernel::window(), Window::DimZ); - - // Get initial windows - Window slice = window_collapsed.first_slice_window_4D(); - slice.set(Window::DimZ, Window::Dimension(0, 1, 1)); - - // Setup output slice - Window slice_out(slice); - slice_out.set(Window::DimX, Window::Dimension(0, 0, 0)); - slice_out.set(Window::DimY, Window::Dimension(0, 0, 0)); - - if(bias != nullptr) - { - unsigned int idx1 = 2 * num_arguments_per_4D_tensor(); - Window slice_biases; - slice_biases.use_tensor_dimensions(bias->info()->tensor_shape()); - add_1D_tensor_argument(idx1, bias, slice_biases); - } - - if(_is_nhwc) - { - unsigned int idx2 = 2 * num_arguments_per_4D_tensor() + ((bias != nullptr) ? num_arguments_per_1D_tensor() : 0); - _kernel.setArg(idx2, static_cast<int>(dst->info()->total_size() - dst->info()->strides_in_bytes().y())); - } - - do - { - unsigned int idx = 0; - add_4D_tensor_argument(idx, src, slice); - add_4D_tensor_argument(idx, dst, slice_out); - enqueue(queue, *this, slice, lws_hint()); - } - while(window.slide_window_slice_3D(slice) && window.slide_window_slice_3D(slice_out)); -} -} // namespace kernels -} // namespace opencl -} // namespace arm_compute |