| /* |
| * Copyright (c) 2018 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/NETileKernel.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/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(multiples.size() > 4); |
| ARM_COMPUTE_RETURN_ERROR_ON(multiples.empty()); |
| ARM_COMPUTE_RETURN_ERROR_ON(std::any_of(multiples.begin(), multiples.end(), [](uint32_t e) |
| { |
| return e == 0; |
| })); |
| |
| // Validate output if initialized |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_tiled_shape(input->tensor_shape(), multiples), output->tensor_shape()); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NETileKernel::NETileKernel() |
| : _input(nullptr), _output(nullptr) |
| { |
| } |
| |
| void NETileKernel::configure(const ITensor *input, ITensor *output, const Multiples &multiples) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Auto initialize output |
| TensorShape tiled_shape = misc::shape_calculator::compute_tiled_shape(input->info()->tensor_shape(), multiples); |
| auto_init_if_empty(*output->info(), tiled_shape, 1, input->info()->data_type()); |
| |
| // Validate |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), multiples)); |
| |
| _input = input; |
| _output = output; |
| |
| // Configure window without padding |
| Window win = calculate_max_window(*output->info()); |
| INEKernel::configure(win); |
| } |
| |
| Status NETileKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, multiples)); |
| return Status{}; |
| } |
| |
| void NETileKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| Window output_window{ window }; |
| output_window.set(Window::DimX, Window::Dimension(output_window.x().start(), output_window.x().end(), _input->info()->dimension(0))); |
| Window out_slice = output_window.first_slice_window_1D(); |
| |
| const auto src_shape = _input->info()->tensor_shape(); |
| do |
| { |
| Iterator output_it(_output, out_slice); |
| |
| execute_window_loop(out_slice, [&](const Coordinates & id) |
| { |
| const size_t x = id.x(); |
| const size_t y = id.y(); |
| const size_t z = id.z(); |
| const size_t w = id[3]; |
| Coordinates input_coords{ x % src_shape[0], y % src_shape[1], z % src_shape[2], w % src_shape[3] }; |
| memcpy(output_it.ptr(), _input->ptr_to_element(input_coords), _input->info()->dimension(0) * _input->info()->element_size()); |
| }, |
| output_it); |
| } |
| while(output_window.slide_window_slice_1D(out_slice)); |
| } |
| } // namespace arm_compute |