| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <armnn/Tensor.hpp> |
| #include <armnn/Descriptors.hpp> |
| |
| #include <backendsCommon/Workload.hpp> |
| |
| #include <arm_compute/runtime/CL/functions/CLConvolutionLayer.h> |
| #include <arm_compute/runtime/MemoryManagerOnDemand.h> |
| |
| #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 BaseWorkload<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; |
| |
| private: |
| mutable arm_compute::CLConvolutionLayer m_ConvolutionLayer; |
| |
| std::unique_ptr<arm_compute::CLTensor> m_KernelTensor; |
| std::unique_ptr<arm_compute::CLTensor> m_BiasTensor; |
| |
| arm_compute::ConvolutionMethod m_ConvolutionMethod; |
| |
| void FreeUnusedTensors(); |
| }; |
| |
| } //namespace armnn |
| |