| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <neon/workloads/NeonWorkloadUtils.hpp> |
| |
| #include <arm_compute/runtime/NEON/functions/NEElementwiseOperations.h> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output); |
| |
| template <DataType T> |
| class NeonGreaterWorkload : public MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean> |
| { |
| public: |
| using MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>::m_Data; |
| |
| NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info); |
| |
| virtual void Execute() const override; |
| |
| private: |
| mutable arm_compute::NEGreater m_GreaterLayer; |
| }; |
| |
| using NeonGreaterFloat32Workload = NeonGreaterWorkload<DataType::Float32>; |
| using NeonGreaterUint8Workload = NeonGreaterWorkload<DataType::QuantisedAsymm8>; |
| |
| } //namespace armnn |