ArmNN
 25.11
Loading...
Searching...
No Matches
NeonL2NormalizationFloatWorkload.hpp
Go to the documentation of this file.
1//
2// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#pragma once
7
9
10#include <arm_compute/core/Error.h>
11#include <arm_compute/runtime/IFunction.h>
12#include <arm_compute/runtime/MemoryManagerOnDemand.h>
13
14#include <memory>
15
16namespace armnn
17{
18
19arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input,
20 const TensorInfo& output,
21 const L2NormalizationDescriptor& descriptor);
22
23class NeonL2NormalizationFloatWorkload : public FloatWorkload<L2NormalizationQueueDescriptor>
24{
25public:
27 std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager);
28 virtual void Execute() const override;
29 // Replace input tensor handle with the given TensorHandle
30 void ReplaceInputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot) override;
31
32 // Replace output tensor handle with the given TensorHandle
33 void ReplaceOutputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot) override;
34private:
35 std::unique_ptr<arm_compute::IFunction> m_Layer;
36 virtual void Reconfigure();
37};
38
39} //namespace armnn
40
NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
void ReplaceInputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override
void ReplaceOutputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override
Copyright (c) 2021 ARM Limited and Contributors.
TypedWorkload< QueueDescriptor, armnn::DataType::Float16, armnn::DataType::Float32 > FloatWorkload
Definition Workload.hpp:195
arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor)
A L2NormalizationDescriptor for the L2NormalizationLayer.
Contains information about TensorInfos of a layer.