| /* |
| * 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/ClTransposeKernel.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/Utils.h" |
| #include "arm_compute/core/utils/helpers/AdjustVecSize.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/core/Validate.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" |
| |
| namespace arm_compute |
| { |
| namespace opencl |
| { |
| namespace kernels |
| { |
| ClTransposeKernel::ClTransposeKernel() |
| { |
| _type = CLKernelType::ELEMENTWISE; |
| } |
| |
| void ClTransposeKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| |
| // Output auto initialization if not yet initialized |
| const TensorShape dst_shape = misc::shape_calculator::compute_transposed_shape(*src); |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape)); |
| |
| // Explicitly set the tensor shape to preserve dimensions |
| dst->set_tensor_shape(dst_shape); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(ClTransposeKernel::validate(src, dst)); |
| auto padding_info = get_padding_info({src, dst}); |
| |
| unsigned int vec_size_x; |
| unsigned int vec_size_y; |
| |
| // Set the optimal tile size for each data type without register spilling |
| switch (src->element_size()) |
| { |
| case 1: |
| vec_size_x = adjust_vec_size(8, src->dimension(0)); |
| vec_size_y = adjust_vec_size(16, src->dimension(1)); |
| break; |
| case 2: |
| vec_size_x = adjust_vec_size(8, src->dimension(0)); |
| vec_size_y = adjust_vec_size(8, src->dimension(1)); |
| break; |
| case 4: |
| vec_size_x = adjust_vec_size(4, src->dimension(0)); |
| vec_size_y = adjust_vec_size(8, src->dimension(1)); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Unsupported data type"); |
| break; |
| } |
| |
| const int vec_size_x_leftovers = src->dimension(0) % vec_size_x; |
| const int vec_size_y_leftovers = src->dimension(1) % vec_size_y; |
| |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE_IN_BYTES=" + support::cpp11::to_string(src->element_size())); |
| build_opts.add_option("-DVEC_SIZE_X=" + support::cpp11::to_string(vec_size_x)); |
| build_opts.add_option("-DVEC_SIZE_LEFTOVER_X=" + support::cpp11::to_string(vec_size_x_leftovers)); |
| build_opts.add_option("-DVEC_SIZE_Y=" + support::cpp11::to_string(vec_size_y)); |
| build_opts.add_option("-DVEC_SIZE_LEFTOVER_Y=" + support::cpp11::to_string(vec_size_y_leftovers)); |
| |
| _kernel = create_kernel(compile_context, "transpose", build_opts.options()); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*src, Steps(vec_size_x, vec_size_y)); |
| ICLKernel::configure_internal(win); |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status ClTransposeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); |
| ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); |
| |
| // Validate configured dst |
| if (dst->total_size() != 0) |
| { |
| const TensorInfo dst_info = |
| src->clone()->set_tensor_shape(misc::shape_calculator::compute_transposed_shape(*src)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(dst, &dst_info); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| } |
| |
| return Status{}; |
| } |
| |
| void ClTransposeKernel::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); |
| |
| const 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)); |
| |
| // Collapse dimensions higher than width and height into the batch dimension |
| Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); |
| Window slice = collapsed.first_slice_window_3D(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, src, slice); |
| add_3D_tensor_argument(idx, dst, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } while (collapsed.slide_window_slice_3D(slice)); |
| } |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |