ArmNN
 20.11
NeonLogicalOrWorkload.cpp
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1 //
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "NeonWorkloadUtils.hpp"
9 
12 
14 
15 namespace armnn
16 {
17 
19  const TensorInfo& input1,
20  const TensorInfo& output)
21 {
22  const arm_compute::TensorInfo aclInputInfo0 = BuildArmComputeTensorInfo(input0);
23  const arm_compute::TensorInfo aclInputInfo1 = BuildArmComputeTensorInfo(input1);
24  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
25 
26  const arm_compute::Status aclStatus = arm_compute::NELogicalOr::validate(&aclInputInfo0,
27  &aclInputInfo1,
28  &aclOutputInfo);
29  return aclStatus;
30 }
31 
33  const WorkloadInfo& info)
34  : BaseWorkload<LogicalBinaryQueueDescriptor>(descriptor, info)
35 {
36  m_Data.ValidateInputsOutputs("NeonLogicalOrWorkload", 2, 1);
37 
38  arm_compute::ITensor& input0 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
39  arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
40  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
41 
42  m_LogicalOrLayer.configure(&input0, &input1, &output);
43 }
44 
46 {
47  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonLogicalOrWorkload_Execute");
48  m_LogicalOrLayer.run();
49 }
50 
51 } // namespace armnn
const LogicalBinaryQueueDescriptor m_Data
Definition: Workload.hpp:46
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
arm_compute::Status NeonLogicalOrWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
virtual void Execute() const override
Status
enumeration
Definition: Types.hpp:26
NeonLogicalOrWorkload(const LogicalBinaryQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs