/* * Copyright (c) 2017 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/CPP/kernels/CPPPermuteKernel.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include #include using namespace arm_compute; 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_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::QS16, DataType::U32, DataType::S32, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() < 3, "Invalid input size!"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(perm.num_dimensions() != 3 && ((perm[0] != 2 && perm[1] != 0 && perm[2] != 1) || (perm[0] != 1 && perm[1] != 2 && perm[2] != 0)), "Only [2, 0, 1] and [1, 2, 0] permutation is supported"); // Validate configured output if(output->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), get_output_shape(input, perm)); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); } return Status{}; } } // namespace template void CPPPermuteKernel::run_permute(const Window &window) { const int output_stride_x = _output->info()->strides_in_bytes().x(); const int output_stride_y = _output->info()->strides_in_bytes().y(); const int output_stride_z = _output->info()->strides_in_bytes().z(); Window window_out(window); window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); window_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); // Create iterators Iterator in(_input, window); Iterator out(_output, window_out); // Run [2, 0, 1] permute if(_perm[0] == 2 && _perm[1] == 0 && _perm[2] == 1) { execute_window_loop(window, [&](const Coordinates & id) { const int idx = id.y() * output_stride_z + id.x() * output_stride_y + id.z() * output_stride_x; *(reinterpret_cast(out.ptr() + idx)) = *(reinterpret_cast(in.ptr())); }, in, out); } // Run [1, 2, 0] permute else { execute_window_loop(window, [&](const Coordinates & id) { const int idx = id.x() * output_stride_z + id.z() * output_stride_y + id.y() * output_stride_x; *(reinterpret_cast(out.ptr() + idx)) = *(reinterpret_cast(in.ptr())); }, in, out); } } CPPPermuteKernel::CPPPermuteKernel() : _func(), _input(nullptr), _output(nullptr), _perm() { } void CPPPermuteKernel::configure(const ITensor *input, ITensor *output, const PermutationVector &perm) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); // Output auto inizialitation if not yet initialized auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(get_output_shape(input->info(), perm))); // Perform validation step ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), perm)); _input = input; _output = output; _perm = perm; switch(input->info()->element_size()) { case 1: _func = &CPPPermuteKernel::run_permute; break; case 2: _func = &CPPPermuteKernel::run_permute; break; case 4: _func = &CPPPermuteKernel::run_permute; break; default: ARM_COMPUTE_ERROR("Element size not supported"); break; } // Configure kernel window Window win = calculate_max_window(*input->info(), Steps()); // The CPPPermute 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())); ICPPKernel::configure(win); } Status CPPPermuteKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, perm)); return Status{}; } void CPPPermuteKernel::run(const Window &window, const ThreadInfo &info) { ARM_COMPUTE_UNUSED(info); ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window); if(_func != nullptr) { (this->*_func)(window); } }