| /* |
| * 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/NEGatherKernel.h" |
| |
| #include "arm_compute/core/CPP/Validate.h" |
| #include "arm_compute/core/Coordinates.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/IAccessWindow.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| /** Validate the indices |
| * |
| * Validate that indices are not negative |
| * |
| * @param[in] indices Indices tensor info. |
| */ |
| template <typename U> |
| void validate_indices(const ITensor *indices) |
| { |
| for(size_t i = 0; i < indices->info()->tensor_shape()[0]; ++i) |
| { |
| ARM_COMPUTE_ERROR_ON(*(reinterpret_cast<U *>(indices->ptr_to_element(Coordinates(i)))) < 0); |
| } |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, int axis) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, indices, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(indices->num_dimensions() > 1); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); |
| |
| if(axis < 0) |
| { |
| axis += input->num_dimensions(); |
| } |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(0 > axis || axis >= static_cast<int32_t>(input->num_dimensions())); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| TensorShape output_shape = arm_compute::misc::shape_calculator::compute_gather_shape(input->tensor_shape(), indices->tensor_shape(), axis); |
| ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() != output->tensor_shape().total_size()); |
| } |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(indices, 1, DataType::U32, DataType::S32); |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEGatherKernel::NEGatherKernel() |
| : _input{}, _indices{}, _axis{}, _output{}, _func{} |
| { |
| } |
| |
| template <typename U> |
| inline void NEGatherKernel::gather_0_axis(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| |
| // Validate that the indices are not negative |
| validate_indices<U>(_indices); |
| |
| Iterator output_it(_output, window); |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| Coordinates gather_id(id); |
| |
| auto new_index = *(reinterpret_cast<U *>(_indices->ptr_to_element(Coordinates(id[0])))); |
| gather_id.set(0, new_index); |
| |
| std::copy_n(_input->ptr_to_element(gather_id), _output->info()->element_size(), output_it.ptr()); |
| }, |
| output_it); |
| } |
| |
| template <typename U> |
| void NEGatherKernel::gather_n_axis(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| |
| // Validate that the indices are not negative |
| validate_indices<U>(_indices); |
| |
| Window output_window{ window }; |
| output_window.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator output_it(_output, output_window); |
| execute_window_loop(output_window, [&](const Coordinates & id) |
| { |
| Coordinates gather_id(id); |
| |
| auto new_index = *(reinterpret_cast<U *>(_indices->ptr_to_element(Coordinates(id[_axis])))); |
| gather_id.set(_axis, new_index); |
| |
| std::copy_n(_input->ptr_to_element(gather_id), _input->info()->dimension(0) * _output->info()->element_size(), output_it.ptr()); |
| }, |
| output_it); |
| } |
| |
| void NEGatherKernel::configure(const ITensor *input, const ITensor *indices, ITensor *output, int axis) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, indices); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), indices->info(), output->info(), axis)); |
| |
| _input = input; |
| _indices = indices; |
| _output = output; |
| _axis = axis; |
| |
| if(_axis < 0) |
| { |
| _axis += input->info()->num_dimensions(); |
| } |
| ARM_COMPUTE_ERROR_ON(0 > _axis || _axis >= static_cast<int32_t>(input->info()->num_dimensions())); |
| |
| if(0 == _axis) |
| { |
| switch(_indices->info()->data_type()) |
| { |
| case DataType::U32: |
| _func = &NEGatherKernel::gather_0_axis<uint32_t>; |
| break; |
| case DataType::S32: |
| _func = &NEGatherKernel::gather_0_axis<int32_t>; |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Not supported"); |
| break; |
| } |
| } |
| else |
| { |
| switch(_indices->info()->data_type()) |
| { |
| case DataType::U32: |
| _func = &NEGatherKernel::gather_n_axis<uint32_t>; |
| break; |
| case DataType::S32: |
| _func = &NEGatherKernel::gather_n_axis<int32_t>; |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Not supported"); |
| break; |
| } |
| } |
| // Output auto initialization if not yet initialized |
| TensorShape output_shape = arm_compute::misc::shape_calculator::compute_gather_shape(input->info()->tensor_shape(), indices->info()->tensor_shape(), _axis); |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); |
| |
| // Create window |
| Window win = calculate_max_window(*output->info(), Steps()); |
| output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| |
| INEKernel::configure(win); |
| } |
| |
| Status NEGatherKernel::validate(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, int axis) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, indices, output, axis)); |
| return Status{}; |
| } |
| |
| void NEGatherKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| |
| (this->*_func)(window, info); |
| } |
| |
| } // namespace arm_compute |