From 7e4b23953e885e58d655a7d9f35a1afcc38365e4 Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Thu, 22 Feb 2018 16:17:20 +0000 Subject: COMPMID-935 - Implementing Convolution with Winograd on OpenCL (part 2) Implemented Winograd Filter Transform 3x3 on OpenCL Change-Id: I8f2b2dd938c5c000ef7ce392a37fb7b8b4202a4e Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/122708 Reviewed-by: Georgios Pinitas Tested-by: Jenkins --- .../CL/kernels/CLWinogradFilterTransformKernel.cpp | 139 +++++++++++++++++++++ 1 file changed, 139 insertions(+) create mode 100644 src/core/CL/kernels/CLWinogradFilterTransformKernel.cpp (limited to 'src/core/CL/kernels') diff --git a/src/core/CL/kernels/CLWinogradFilterTransformKernel.cpp b/src/core/CL/kernels/CLWinogradFilterTransformKernel.cpp new file mode 100644 index 0000000000..3dbbe157b2 --- /dev/null +++ b/src/core/CL/kernels/CLWinogradFilterTransformKernel.cpp @@ -0,0 +1,139 @@ +/* + * 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/CLWinogradFilterTransformKernel.h" + +#include "arm_compute/core/AccessWindowStatic.h" +#include "arm_compute/core/CL/CLHelpers.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 "support/ToolchainSupport.h" + +using namespace arm_compute; +using namespace arm_compute::misc::shape_calculator; + +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != 3); + ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != input->dimension(1)); + 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)); + + 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 validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + + constexpr unsigned int num_elems_processed_per_iteration_x = 3; + constexpr unsigned int num_elems_processed_per_iteration_y = 3; + + Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); + bool window_changed = false; + + AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y); + AccessWindowStatic output_access(output, 0, 0, output->dimension(0), output->dimension(1)); + window_changed = update_window_and_padding(win, input_access, output_access); + output_access.set_valid_region(win, input->valid_region()); + + Window win_collapsed = win.collapse(win, Window::DimZ); + + Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + return std::make_pair(err, win_collapsed); +} +} // namespace + +CLWinogradFilterTransformKernel::CLWinogradFilterTransformKernel() + : _input(nullptr), _output(nullptr) +{ +} + +void CLWinogradFilterTransformKernel::configure(const ICLTensor *input, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + + // Output tensor auto inizialitation if not yet initialized + auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_winograd_filter_transform_shape(*input->info()))); + + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info())); + + // Set build options + CLBuildOptions build_opts; + build_opts.add_option("-DNUM_CHANNELS=" + support::cpp11::to_string(input->info()->dimension(2))); + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("winograd_filter_transform_2x2_3x3_nchw", build_opts.options())); + + _input = input; + _output = output; + + // Configure kernel window + auto win_config = validate_and_configure_window(input->info(), output->info()); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + ICLKernel::configure(win_config.second); +} + +Status CLWinogradFilterTransformKernel::validate(const ITensorInfo *input, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first); + + return Status{}; +} + +void CLWinogradFilterTransformKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + // Setup output window + Window window_out; + window_out.use_tensor_dimensions(_output->info()->tensor_shape(), 0); + + unsigned int idx = 0; + add_4D_tensor_argument(idx, _input, window); + add_3D_tensor_argument(idx, _output, window_out); + enqueue(queue, *this, window); +} -- cgit v1.2.1