| /* |
| * Copyright (c) 2017-2020 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> |
| |
| namespace arm_compute |
| { |
| NEDirectConvolutionLayer::NEDirectConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _output_stage_kernel(), _conv_kernel(), _input_border_handler(), _activationlayer_function(), _accumulator(), _has_bias(false), |
| _is_activationlayer_enabled(false), _dim_split(Window::DimZ) |
| { |
| } |
| |
| void NEDirectConvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_ERROR_ON(input->info()->data_layout() == DataLayout::UNKNOWN); |
| |
| // Free accumulator |
| if(_accumulator.buffer() != nullptr) |
| { |
| _accumulator.allocator()->free(); |
| } |
| |
| _dim_split = input->info()->data_layout() == DataLayout::NCHW ? Window::DimZ : Window::DimY; |
| |
| // Check if bias should be added in the convolution result |
| _has_bias = (bias != nullptr); |
| |
| _conv_kernel.configure(input, weights, output, conv_info); |
| if(_has_bias) |
| { |
| _output_stage_kernel.configure(output, bias); |
| } |
| |
| // Add zero padding XY |
| _input_border_handler.configure(input, _conv_kernel.border_size(), BorderMode::CONSTANT, PixelValue(static_cast<float>(0.f))); |
| |
| //Configure Activation Layer |
| _is_activationlayer_enabled = act_info.enabled(); |
| if(_is_activationlayer_enabled) |
| { |
| _activationlayer_function.configure(output, nullptr, act_info); |
| } |
| } |
| |
| Status NEDirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); |
| |
| // output might not be initialized since it can be an intermediate tensor of another layer |
| DataType data_type = input->data_type(); |
| TensorInfo accumulator(output->clone()->set_is_resizable(true).reset_padding().set_data_type(data_type)); |
| |
| // Validate Convolution kernel |
| ARM_COMPUTE_RETURN_ON_ERROR(NEDirectConvolutionLayerKernel::validate(input, weights, &accumulator, conv_info)); |
| |
| if(bias != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(weights, bias); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(bias->dimension(0) != weights->dimension(3), |
| "Biases size and number of input feature maps should match"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(bias->num_dimensions() > 1, "Biases should be one dimensional"); |
| } |
| |
| // Validate bias kernel |
| ARM_COMPUTE_RETURN_ON_ERROR(NEDirectConvolutionLayerOutputStageKernel::validate(&accumulator, bias, output)); |
| |
| if(act_info.enabled()) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(NEActivationLayer::validate(output, nullptr, act_info)); |
| } |
| |
| return Status{}; |
| } |
| |
| void NEDirectConvolutionLayer::run() |
| { |
| NEScheduler::get().schedule(&_input_border_handler, Window::DimZ); |
| |
| MemoryGroupResourceScope scope_mg(_memory_group); |
| |
| NEScheduler::get().schedule(&_conv_kernel, _dim_split); |
| if(_has_bias) |
| { |
| NEScheduler::get().schedule(&_output_stage_kernel, Window::DimY); |
| } |
| |
| if(_is_activationlayer_enabled) |
| { |
| _activationlayer_function.run(); |
| } |
| } |
| } // namespace arm_compute |