| /* |
| * 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/CLConvolutionLayer.h" |
| |
| #include "arm_compute/core/PixelValue.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/core/utils/quantization/AsymmHelpers.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| |
| #include <cmath> |
| #include <memory> |
| #include <tuple> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::misc::shape_calculator; |
| |
| CLConvolutionLayer::CLConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_manager(std::move(memory_manager)), _function() |
| { |
| } |
| |
| void CLConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info, |
| const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); |
| ARM_COMPUTE_ERROR_THROW_ON(CLConvolutionLayer::validate(input->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr), output->info(), conv_info, weights_info, dilation, act_info, |
| enable_fast_math)); |
| |
| switch(CLConvolutionLayer::get_convolution_method(input->info(), weights->info(), output->info(), conv_info, |
| weights_info, act_info, CLScheduler::get().target(), dilation, enable_fast_math)) |
| { |
| case ConvolutionMethod::WINOGRAD: |
| { |
| auto f = arm_compute::support::cpp14::make_unique<CLWinogradConvolutionLayer>(_memory_manager); |
| f->configure(input, weights, biases, output, conv_info, act_info, enable_fast_math); |
| _function = std::move(f); |
| break; |
| } |
| case ConvolutionMethod::DIRECT: |
| { |
| auto f = arm_compute::support::cpp14::make_unique<CLDirectConvolutionLayer>(); |
| f->configure(input, weights, biases, output, conv_info, act_info); |
| _function = std::move(f); |
| break; |
| } |
| case ConvolutionMethod::GEMM: |
| { |
| auto f = arm_compute::support::cpp14::make_unique<CLGEMMConvolutionLayer>(_memory_manager); |
| f->configure(input, weights, biases, output, conv_info, weights_info, dilation, act_info); |
| _function = std::move(f); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Not supported."); |
| break; |
| } |
| } |
| |
| Status CLConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); |
| |
| const GPUTarget gpu_target = CLScheduler::get().target(); |
| |
| switch(CLConvolutionLayer::get_convolution_method(input, weights, output, conv_info, weights_info, act_info, gpu_target, dilation, enable_fast_math)) |
| { |
| case ConvolutionMethod::WINOGRAD: |
| { |
| //Validate Winograd |
| ARM_COMPUTE_RETURN_ON_ERROR(CLWinogradConvolutionLayer::validate(input, weights, biases, output, conv_info, act_info, enable_fast_math)); |
| break; |
| } |
| case ConvolutionMethod::DIRECT: |
| { |
| // Validate direct convolution layer |
| ARM_COMPUTE_RETURN_ON_ERROR(CLDirectConvolutionLayer::validate(input, weights, biases, output, conv_info, act_info)); |
| break; |
| } |
| case ConvolutionMethod::GEMM: |
| { |
| // Validate gemm-based convolution layer |
| ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMConvolutionLayer::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info)); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Not supported."); |
| break; |
| } |
| |
| return Status{}; |
| } |
| |
| ConvolutionMethod CLConvolutionLayer::get_convolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const WeightsInfo &weights_info, const ActivationLayerInfo &act_info, const GPUTarget gpu_target, const Size2D &dilation, bool enable_fast_math) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(output); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(weights); |
| ARM_COMPUTE_UNUSED(weights_info); |
| ARM_COMPUTE_UNUSED(gpu_target); |
| |
| const size_t idx_c = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL); |
| |
| if(dilation != Size2D(1U, 1U) || (input->dimension(idx_c) < 16)) |
| { |
| return ConvolutionMethod::GEMM; |
| } |
| else |
| { |
| return bool(CLWinogradConvolutionLayer::validate(input, weights, nullptr, output, conv_info, act_info, enable_fast_math)) ? ConvolutionMethod::WINOGRAD : ConvolutionMethod::GEMM; |
| } |
| } |
| |
| void CLConvolutionLayer::run() |
| { |
| prepare(); |
| _function->run(); |
| } |
| |
| void CLConvolutionLayer::prepare() |
| { |
| _function->prepare(); |
| } |