| /* |
| * Copyright (c) 2017-2021, 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/ClCol2ImKernel.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/CL/OpenCL.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/core/utils/StringUtils.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> |
| |
| namespace arm_compute |
| { |
| using namespace misc::shape_calculator; |
| namespace opencl |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); |
| |
| // Checks performed when output is configured |
| if(dst->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), compute_col2im_shape(*src, convolved_dims, true, num_groups)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_layout() != DataLayout::NCHW, "Col2Im output's data layout must always be NCHW"); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *src, ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_col2im_shape(*src, convolved_dims, true, num_groups)).set_data_layout(DataLayout::NCHW)); |
| |
| constexpr unsigned int num_elems_read_per_iteration = 8; |
| |
| // Configure window |
| Window win = calculate_max_window(*src, Steps(num_elems_read_per_iteration)); |
| |
| // Update window and padding just for the input tensor as we cannot access out-of-bounds elements in the output one |
| AccessWindowHorizontal input_access(src, 0, num_elems_read_per_iteration); |
| bool window_changed = update_window_and_padding(win, input_access); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| } // namespace |
| |
| ClCol2ImKernel::ClCol2ImKernel() |
| : _convolved_dims() |
| { |
| _type = CLKernelType::ELEMENTWISE; |
| } |
| |
| void ClCol2ImKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, convolved_dims, num_groups)); |
| |
| _convolved_dims = convolved_dims; |
| |
| const DataType data_type = src->data_type(); |
| |
| // Create kernel |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type)); |
| build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(src->element_size())); |
| build_opts.add_option("-DWIDTH_INPUT=" + support::cpp11::to_string(src->dimension(0))); |
| build_opts.add_option("-DWIDTH_OUTPUT=" + support::cpp11::to_string(_convolved_dims.width)); |
| build_opts.add_option("-DNUM_GROUPS=" + support::cpp11::to_string(num_groups)); |
| |
| _kernel = create_kernel(compile_context, "col2im", build_opts.options()); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(src, dst, _convolved_dims, num_groups); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| IClKernel::configure_internal(win_config.second); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "col2im_"; |
| _config_id += lower_string(string_from_data_type(src->data_type())); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(num_groups); |
| _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)); |
| } |
| |
| Status ClCol2ImKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, convolved_dims, num_groups)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get(), convolved_dims, num_groups).first); |
| return Status{}; |
| } |
| |
| void ClCol2ImKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IClKernel::window(), window); |
| |
| bool is_collapsed = false; |
| bool is_collapsed_out = false; |
| |
| 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)); |
| |
| Window out_window; |
| out_window.use_tensor_dimensions(dst->info()->tensor_shape()); |
| |
| Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &is_collapsed); |
| Window collapsed_out = out_window.collapse_if_possible(out_window, 3, &is_collapsed_out); |
| |
| ARM_COMPUTE_ERROR_ON(is_collapsed != is_collapsed_out); |
| |
| Window slice = collapsed.first_slice_window_3D(); |
| Window slice_out = collapsed_out.first_slice_window_4D(); |
| do |
| { |
| // Set inputs |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, src, slice); |
| add_4D_tensor_argument(idx, dst, slice_out); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_3D(slice) && collapsed_out.slide_window_slice_4D(slice_out)); |
| } |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |