| /* |
| * 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/NEDirectConvolutionLayer.h" |
| |
| #include "arm_compute/core/PixelValue.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/runtime/NEON/NEScheduler.h" |
| |
| #include <cmath> |
| #include <tuple> |
| |
| using namespace arm_compute; |
| |
| NEDirectConvolutionLayer::NEDirectConvolutionLayer() |
| : _accumulate_bias_kernel(), _conv_kernel(), _input_border_handler(), _accumulator() |
| { |
| } |
| |
| void NEDirectConvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &conv_info) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QS8, DataType::F32); |
| |
| // Free accumulator |
| if(_accumulator.buffer() != nullptr) |
| { |
| _accumulator.allocator()->free(); |
| } |
| |
| // Allocate the intermediate accumulator tensor in case of fixed point input |
| if(output->info()->data_type() == DataType::QS8) |
| { |
| _accumulator.allocator()->init(TensorInfo(output->info()->tensor_shape(), 1, DataType::QS16, output->info()->fixed_point_position())); |
| _conv_kernel.configure(input, weights, &_accumulator, conv_info); |
| _accumulate_bias_kernel.configure(&_accumulator, bias, output); |
| _accumulator.allocator()->allocate(); |
| } |
| else |
| { |
| _conv_kernel.configure(input, weights, output, conv_info); |
| _accumulate_bias_kernel.configure(output, bias); |
| } |
| |
| // Add zero padding XY |
| _input_border_handler.configure(input, _conv_kernel.border_size(), BorderMode::CONSTANT, PixelValue(0)); |
| } |
| |
| void NEDirectConvolutionLayer::run() |
| { |
| _input_border_handler.run(_input_border_handler.window()); |
| |
| NEScheduler::get().schedule(&_conv_kernel, Window::DimZ); |
| NEScheduler::get().schedule(&_accumulate_bias_kernel, Window::DimY); |
| } |