| /* |
| * Copyright (c) 2018-2019 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/NEFlattenLayerKernel.h" |
| |
| #include "arm_compute/core/CPP/Validate.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 "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| #include <arm_neon.h> |
| |
| using namespace arm_compute; |
| using namespace misc::shape_calculator; |
| |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions. |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); |
| |
| // Checks performed when output is configured |
| if(output->total_size() != 0) |
| { |
| const TensorInfo tensor_info_output = input->clone()->set_tensor_shape(compute_flatten_shape(input)); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) |
| { |
| // Output tensor auto initialization if not yet initialized |
| auto_init_if_empty(*output, input->clone()->set_tensor_shape(compute_flatten_shape(input))); |
| |
| Window win = calculate_max_window(*input, Steps()); // Flatten does not need paddings |
| |
| output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); |
| |
| return std::make_pair(Status{}, win); |
| } |
| } // namespace |
| |
| NEFlattenLayerKernel::NEFlattenLayerKernel() |
| : _input(nullptr), _output(nullptr) |
| { |
| } |
| |
| void NEFlattenLayerKernel::configure(const ITensor *input, ITensor *output) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info())); |
| |
| _input = input; |
| _output = output; |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| INEKernel::configure(win_config.second); |
| } |
| |
| Status NEFlattenLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first); |
| return Status{}; |
| } |
| |
| void NEFlattenLayerKernel::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); |
| |
| const size_t in_width = _input->info()->dimension(0); |
| const size_t in_height = _input->info()->dimension(1); |
| const size_t out_step_x = in_width * _input->info()->element_size(); |
| const size_t out_step_y = out_step_x * in_height; |
| |
| Window in_window(window); |
| in_window.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Window out_window; |
| out_window.use_tensor_dimensions(_output->info()->tensor_shape()); |
| out_window.set(Window::DimX, Window::Dimension(out_window.x().start(), out_window.x().end(), in_width)); |
| |
| Window in_slice = in_window.first_slice_window_3D(); |
| Window out_slice = out_window.first_slice_window_1D(); |
| |
| do |
| { |
| Iterator in(_input, in_slice); |
| Iterator out(_output, out_slice); |
| |
| uint8_t *out_ptr = out.ptr(); |
| |
| execute_window_loop(in_slice, [&](const Coordinates & id) |
| { |
| memcpy(out_ptr + id.y() * out_step_x + id.z() * out_step_y, in.ptr(), out_step_x); |
| }, |
| in); |
| } |
| while(in_window.slide_window_slice_3D(in_slice) && out_window.slide_window_slice_1D(out_slice)); |
| } |