| /* |
| * Copyright (c) 2018-2020 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/CL/kernels/CLPermuteKernel.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| CLPermuteKernel::CLPermuteKernel() |
| : _input(nullptr), _output(nullptr), _perm() |
| { |
| } |
| namespace |
| { |
| TensorShape get_output_shape(const ITensorInfo *input, const PermutationVector &perm) |
| { |
| TensorShape output_shape = input->tensor_shape(); |
| permute(output_shape, perm); |
| return output_shape; |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() < 1 || input->num_dimensions() > 4, |
| "Permutation upto 4-D input 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 output |
| if(output->total_size() != 0) |
| { |
| const TensorShape output_shape = misc::shape_calculator::compute_permutation_output_shape(*input, perm); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| return Status{}; |
| } |
| } // namespace |
| |
| void CLPermuteKernel::configure(const ICLTensor *input, ICLTensor *output, const PermutationVector &perm) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output, perm); |
| } |
| |
| void CLPermuteKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PermutationVector &perm) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| auto padding_info = get_padding_info({ input, output }); |
| const TensorShape output_shape = get_output_shape(input->info(), perm); |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), perm)); |
| |
| _input = input; |
| _output = output; |
| _perm = perm; |
| |
| // Create kernel |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type()))); |
| build_opts.add_option("-DDEPTH_IN=" + support::cpp11::to_string(input->info()->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(*input->info(), Steps()); |
| |
| // The CLPermute doesn't need padding so update_window_and_padding() can be skipped |
| Coordinates coord; |
| coord.set_num_dimensions(output->info()->num_dimensions()); |
| output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape())); |
| |
| ICLKernel::configure_internal(win); |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status CLPermuteKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, perm)); |
| |
| return Status{}; |
| } |
| |
| void CLPermuteKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); |
| |
| Window slice_in = window.first_slice_window_4D().collapse(ICLKernel::window(), 2, 4); |
| |
| // Setup output 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, _input, slice_in); |
| add_4D_tensor_argument(idx, _output, 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 arm_compute |