| /* |
| * Copyright (c) 2017-2018 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/runtime/CL/functions/CLDirectConvolutionLayer.h" |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h" |
| #include "arm_compute/core/PixelValue.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| |
| using namespace arm_compute; |
| |
| CLDirectConvolutionLayer::CLDirectConvolutionLayer() |
| : _direct_conv_kernel(), _input_border_handler(), _activationlayer_function(), _is_activationlayer_enabled(false) |
| { |
| } |
| |
| void CLDirectConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info) |
| { |
| // Set GPU target |
| _direct_conv_kernel.set_target(CLScheduler::get().target()); |
| |
| // Configure direct convolution |
| _direct_conv_kernel.configure(input, weights, biases, output, conv_info); |
| |
| // Configure border handler |
| PixelValue &&zero_value(0.f); |
| if(is_data_type_quantized_asymmetric(input->info()->data_type())) |
| { |
| zero_value = PixelValue(static_cast<uint8_t>(input->info()->quantization_info().offset)); |
| } |
| _input_border_handler.configure(input, _direct_conv_kernel.border_size(), BorderMode::CONSTANT, zero_value); |
| |
| // Tune kernels |
| CLScheduler::get().tune_kernel_static(_direct_conv_kernel); |
| |
| _is_activationlayer_enabled = act_info.enabled(); |
| |
| //Configure Activation Layer |
| if(_is_activationlayer_enabled) |
| { |
| _activationlayer_function.configure(output, nullptr, act_info); |
| } |
| } |
| |
| Status CLDirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(CLDirectConvolutionLayerKernel::validate(input, weights, biases, output, conv_info, CLScheduler::get().target())); |
| if(act_info.enabled()) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(CLActivationLayer::validate(output, nullptr, act_info)); |
| } |
| return Status{}; |
| } |
| |
| void CLDirectConvolutionLayer::run() |
| { |
| // Run border handler |
| CLScheduler::get().enqueue(_input_border_handler, false); |
| |
| // Run direct convolution |
| CLScheduler::get().enqueue(_direct_conv_kernel); |
| |
| //Run Activation Layer |
| if(_is_activationlayer_enabled) |
| { |
| _activationlayer_function.run(); |
| } |
| } |