| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <armnn/Tensor.hpp> |
| #include <armnn/Descriptors.hpp> |
| |
| #include "ClBaseWorkload.hpp" |
| |
| #include <arm_compute/runtime/CL/functions/CLConvolutionLayer.h> |
| #include <arm_compute/runtime/MemoryManagerOnDemand.h> |
| |
| #include <cl/ICLTensorProxy.hpp> |
| |
| #include <memory> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status ClConvolution2dWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const Convolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| bool isFastMathEnabled = false, |
| const ActivationDescriptor* activationDescriptor = nullptr); |
| |
| class ClConvolution2dWorkload : public ClBaseWorkload<Convolution2dQueueDescriptor> |
| { |
| public: |
| ClConvolution2dWorkload(const Convolution2dQueueDescriptor& descriptor, |
| const WorkloadInfo& info, |
| std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager, |
| const arm_compute::CLCompileContext& clCompileContext, |
| const bool isFastMathEnabled = false); |
| void Execute() const override; |
| |
| arm_compute::ConvolutionMethod GetConvolutionMethod() const; |
| |
| bool SupportsTensorHandleReplacement() const override |
| { |
| // NCHW DataLayout on ACL still uses paddding for alignment on the Conv2d workload so importing is unreliable. |
| if (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) |
| { |
| return false; |
| } |
| else |
| { |
| return true; |
| } |
| } |
| |
| |
| protected: |
| void Reconfigure() override; |
| |
| private: |
| mutable arm_compute::CLConvolutionLayer m_ConvolutionLayer; |
| |
| arm_compute::ConvolutionMethod m_ConvolutionMethod; |
| |
| std::unique_ptr<ICLTensorProxy> m_InputProxy; |
| std::unique_ptr<ICLTensorProxy> m_WeightsProxy; |
| std::unique_ptr<ICLTensorProxy> m_BiasProxy; |
| std::unique_ptr<ICLTensorProxy> m_OutputProxy; |
| }; |
| |
| } //namespace armnn |
| |