| /* |
| * 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/ClPermuteKernel.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/Validate.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.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 |
| { |
| namespace |
| { |
| TensorShape get_dst_shape(const ITensorInfo *src, const PermutationVector &perm) |
| { |
| TensorShape dst_shape = src->tensor_shape(); |
| permute(dst_shape, perm); |
| return dst_shape; |
| } |
| |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const PermutationVector &perm) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->num_dimensions() < 1 || src->num_dimensions() > 4, |
| "Permutation up to 4-D src tensor is supported"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(perm.num_dimensions() < 1 || perm.num_dimensions() > 4, |
| "Permutation vector size should be less than or equal to 4"); |
| for(const auto &p : perm) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(p >= perm.num_dimensions(), "Permutation vector has invalid values"); |
| } |
| |
| // Validate configured dst |
| if(dst->total_size() != 0) |
| { |
| const TensorShape dst_shape = misc::shape_calculator::compute_permutation_output_shape(*src, perm); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), dst_shape); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| } |
| return Status{}; |
| } |
| } // namespace |
| |
| ClPermuteKernel::ClPermuteKernel() |
| { |
| _type = CLKernelType::ELEMENTWISE; |
| } |
| |
| void ClPermuteKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const PermutationVector &perm) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| auto padding_info = get_padding_info({ src, dst }); |
| const TensorShape dst_shape = get_dst_shape(src, perm); |
| // Output auto initialization if not yet initialized |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape)); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, perm)); |
| |
| _perm = perm; |
| |
| // Create kernel |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(src->data_type()))); |
| build_opts.add_option("-DDEPTH_IN=" + support::cpp11::to_string(src->dimension(2))); |
| // New positions of width(W), height(H), channel(C) and batch(D) based on permutation vector |
| build_opts.add_option("-DP1=" + support::cpp11::to_string((_perm.num_dimensions() >= 1) ? perm[0] : 0)); |
| build_opts.add_option("-DP2=" + support::cpp11::to_string((_perm.num_dimensions() >= 2) ? perm[1] : 1)); |
| build_opts.add_option("-DP3=" + support::cpp11::to_string((_perm.num_dimensions() >= 3) ? perm[2] : 2)); |
| build_opts.add_option("-DP4=" + support::cpp11::to_string((_perm.num_dimensions() >= 4) ? perm[3] : 3)); |
| |
| _kernel = create_kernel(compile_context, "permute", build_opts.options()); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*src, Steps()); |
| |
| ICLKernel::configure_internal(win); |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status ClPermuteKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const PermutationVector &perm) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, perm)); |
| |
| return Status{}; |
| } |
| |
| void ClPermuteKernel::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)); |
| |
| Window slice_in = window.first_slice_window_4D().collapse(ICLKernel::window(), 2, 4); |
| |
| // Setup dst slice |
| Window slice_out(slice_in); |
| slice_out.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| slice_out.set(Window::DimY, Window::Dimension(0, 0, 0)); |
| slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); |
| slice_out.set(3, Window::Dimension(0, 0, 0)); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_4D_tensor_argument(idx, src, slice_in); |
| add_4D_tensor_argument(idx, dst, slice_out); |
| enqueue(queue, *this, slice_in, lws_hint()); |
| } |
| while(window.slide_window_slice_4D(slice_in) && window.slide_window_slice_4D(slice_out)); |
| } |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |