diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClWinogradFilterTransformKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClWinogradFilterTransformKernel.cpp | 188 |
1 files changed, 188 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/ClWinogradFilterTransformKernel.cpp b/src/gpu/cl/kernels/ClWinogradFilterTransformKernel.cpp new file mode 100644 index 0000000000..58c01d4da5 --- /dev/null +++ b/src/gpu/cl/kernels/ClWinogradFilterTransformKernel.cpp @@ -0,0 +1,188 @@ +/* + * Copyright (c) 2018-2023 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/gpu/cl/kernels/ClWinogradFilterTransformKernel.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/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "arm_compute/core/utils/StringUtils.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.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" + +using namespace arm_compute::misc::shape_calculator; + +namespace arm_compute +{ +namespace opencl +{ +namespace kernels +{ +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_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); + + const Size2D kernel_size = winograd_info.kernel_size; + const Size2D output_tile_size = winograd_info.output_tile_size; + + const size_t idx_w = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::WIDTH); + const size_t idx_h = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::HEIGHT); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG( + !cl_winograd_convolution_layer_supported(output_tile_size, kernel_size, input->data_layout()), + "Winograd filter transform not supported"); + ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(idx_w) != kernel_size.width || + input->dimension(idx_h) != kernel_size.height); + ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); + + // Checks performed when output is configured + if (output->total_size() != 0) + { + const TensorInfo tensor_info_output = + input->clone()->set_tensor_shape(compute_winograd_filter_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 *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_UNUSED(output); + + const unsigned int num_elems_processed_per_iteration_x = + input->data_layout() == DataLayout::NCHW ? input->dimension(0) : 1; + const unsigned int num_elems_processed_per_iteration_y = input->dimension(1); + const unsigned int num_elems_read_per_iteration_z = + input->data_layout() == DataLayout::NCHW ? 1 : input->dimension(2); + + Window win = + calculate_max_window(*input, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y, + num_elems_read_per_iteration_z)); + Window win_collapsed = win.collapse(win, Window::DimZ); + return std::make_pair(Status{}, win_collapsed); +} +} // namespace + +ClWinogradFilterTransformKernel::ClWinogradFilterTransformKernel() +{ + _type = CLKernelType::WINOGRAD; +} + +void ClWinogradFilterTransformKernel::configure(const ClCompileContext &compile_context, + ITensorInfo *src, + ITensorInfo *dst, + const WinogradInfo &winograd_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); + + // Output auto initialization if not yet initialized + auto_init_if_empty(*dst, + src->clone()->set_tensor_shape(compute_winograd_filter_transform_shape(*src, winograd_info))); + + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, winograd_info)); + auto padding_info = get_padding_info({src, dst}); + + // Set build options + CLBuildOptions build_opts; + + // For NHWC layouts pass tensor dimesions at runtime + if (src->data_layout() == DataLayout::NHWC) + { + _src_dim_z = src->dimension(2); + } + else + { + build_opts.add_option("-DSRC_DIM_Z=" + support::cpp11::to_string(src->dimension(2))); + } + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type())); + build_opts.add_option_if(winograd_info.kernel_size.height == 1, "-DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL"); + build_opts.add_option_if(winograd_info.kernel_size.width == 1, "-DWINOGRAD_FILTER_TRANSFORM_VERTICAL"); + const Size2D kernel_size = winograd_info.kernel_size; + const Size2D output_tile_size = winograd_info.output_tile_size; + + // Create kernel + std::string kernel_name = "winograd_filter_transform_" + output_tile_size.to_string() + "_" + + kernel_size.to_string() + "_" + lower_string(string_from_data_layout(src->data_layout())); + + // A macro guard to compile ONLY the kernel of interest + build_opts.add_option("-D" + upper_string(kernel_name)); + _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); + + // Configure kernel window + auto win_config = validate_and_configure_window(src, dst); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + IClKernel::configure_internal(win_config.second); + ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); +} + +Status ClWinogradFilterTransformKernel::validate(const ITensorInfo *src, + const ITensorInfo *dst, + const WinogradInfo &winograd_info) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, winograd_info)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get()).first); + + return Status{}; +} + +void ClWinogradFilterTransformKernel::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)); + auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); + + // Setup output window + Window window_out; + window_out.use_tensor_dimensions(dst->info()->tensor_shape(), 0); + + unsigned int idx = 0; + add_4D_tensor_argument(idx, src, window); + add_3D_tensor_argument(idx, dst, window_out); + if (src->info()->data_layout() == DataLayout::NHWC) + { + _kernel.setArg<cl_uint>(idx++, _src_dim_z); + } + enqueue(queue, *this, window, lws_hint()); +} +} // namespace kernels +} // namespace opencl +} // namespace arm_compute |