/* * Copyright (c) 2019 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/NEON/kernels/NEFFTDigitReverseKernel.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 "arm_compute/core/Window.h" namespace arm_compute { namespace { Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *idx, unsigned int axis) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 2, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(idx, 1, DataType::U32); ARM_COMPUTE_RETURN_ERROR_ON(axis != 0); // Checks performed when output is configured if((output != nullptr) && (output->total_size() != 0)) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); } return Status{}; } std::pair validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, ITensorInfo *idx, unsigned int axis) { ARM_COMPUTE_UNUSED(idx, axis); auto_init_if_empty(*output, *input); Window win = calculate_max_window(*output, Steps()); output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); return std::make_pair(Status{}, win); } } // namespace NEFFTDigitReverseKernel::NEFFTDigitReverseKernel() : _input(nullptr), _output(nullptr), _idx(nullptr), _axis(0) { } void NEFFTDigitReverseKernel::configure(const ITensor *input, ITensor *output, const ITensor *idx, unsigned int axis) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, idx); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), idx->info(), axis)); _input = input; _output = output; _idx = idx; _axis = axis; // Configure kernel window auto win_config = validate_and_configure_window(input->info(), output->info(), idx->info(), axis); ARM_COMPUTE_ERROR_THROW_ON(win_config.first); INEKernel::configure(win_config.second); } Status NEFFTDigitReverseKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *idx, unsigned int axis) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, idx, axis)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), idx->clone().get(), axis).first); return Status{}; } void NEFFTDigitReverseKernel::run(const Window &window, const ThreadInfo &info) { ARM_COMPUTE_UNUSED(info); Iterator out(_output, window); const size_t element_size = _input->info()->element_size(); execute_window_loop(window, [&](const Coordinates & id) { unsigned int in_index_1d = *reinterpret_cast(_idx->ptr_to_element(Coordinates(id.x()))); auto reverse_id = id; reverse_id.set(_axis, in_index_1d); memcpy(out.ptr(), _input->ptr_to_element(reverse_id), 2 * element_size); }, out); ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); } } // namespace arm_compute