| /* |
| * 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/runtime/NEON/functions/NENormalizationLayer.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/runtime/NEON/NEScheduler.h" |
| |
| using namespace arm_compute; |
| |
| NENormalizationLayer::NENormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _norm_kernel(), _multiply_kernel(), _border_handler(), _input_squared() |
| { |
| } |
| |
| void NENormalizationLayer::configure(const ITensor *input, ITensor *output, NormalizationLayerInfo norm_info) |
| { |
| ARM_COMPUTE_ERROR_ON(input == nullptr); |
| |
| TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position()); |
| _input_squared.allocator()->init(tensor_info); |
| |
| // Manage intermediate buffers |
| _memory_group.manage(&_input_squared); |
| |
| // Configure kernels |
| _norm_kernel.configure(input, &_input_squared, output, norm_info); |
| _multiply_kernel.configure(input, input, &_input_squared, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO); |
| _border_handler.configure(&_input_squared, _norm_kernel.border_size(), BorderMode::CONSTANT, PixelValue(0.0f)); |
| |
| // Allocate the tensor once the configure methods have been called |
| _input_squared.allocator()->allocate(); |
| } |
| |
| void NENormalizationLayer::run() |
| { |
| _memory_group.acquire(); |
| |
| NEScheduler::get().schedule(&_multiply_kernel, Window::DimY); |
| NEScheduler::get().schedule(&_border_handler, Window::DimY); |
| NEScheduler::get().schedule(&_norm_kernel, Window::DimY); |
| |
| _memory_group.release(); |
| } |