From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/_neon_greater_workload_8cpp_source.xhtml | 133 +++++++++++++++++++++++++ 1 file changed, 133 insertions(+) create mode 100644 20.02/_neon_greater_workload_8cpp_source.xhtml (limited to '20.02/_neon_greater_workload_8cpp_source.xhtml') diff --git a/20.02/_neon_greater_workload_8cpp_source.xhtml b/20.02/_neon_greater_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..a6614b7c38 --- /dev/null +++ b/20.02/_neon_greater_workload_8cpp_source.xhtml @@ -0,0 +1,133 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonGreaterWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonGreaterWorkload.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonGreaterWorkload.hpp"
7 #include <aclCommon/ArmComputeTensorUtils.hpp>
8 #include <backendsCommon/CpuTensorHandle.hpp>
9 
10 namespace armnn
11 {
12 
13 arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo& input0,
14  const TensorInfo& input1,
15  const TensorInfo& output)
16 {
17  const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
18  const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
19  const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
20 
21  return arm_compute::NEGreater::validate(&aclInput0,
22  &aclInput1,
23  &aclOutput);
24 }
25 
26 template <DataType T>
27 NeonGreaterWorkload<T>::NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info)
28  : MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>(descriptor, info)
29 {
30  m_Data.ValidateInputsOutputs("NeonGreaterWorkload", 2, 1);
31 
32  arm_compute::ITensor& input0 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
33  arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
34  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
35 
36  m_GreaterLayer.configure(&input0, &input1, &output);
37 }
38 
39 template <DataType T>
40 void NeonGreaterWorkload<T>::Execute() const
41 {
42  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonGreaterWorkload_Execute");
43  m_GreaterLayer.run();
44 }
45 
46 template class NeonGreaterWorkload<DataType::Float32>;
47 template class NeonGreaterWorkload<DataType::QAsymmU8>;
48 
49 } //namespace armnn
+ + +
armnn::NeonGreaterWorkload::NeonGreaterWorkload
NeonGreaterWorkload(const GreaterQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonGreaterWorkload.cpp:27
+
armnn::BaseWorkload< GreaterQueueDescriptor >::m_Data
const GreaterQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
NeonGreaterWorkload.hpp
+
ArmComputeTensorUtils.hpp
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+ +
armnn::DataType
DataType
Definition: Types.hpp:32
+ +
armnn::NeonGreaterWorkload::Execute
virtual void Execute() const override
Definition: NeonGreaterWorkload.cpp:40
+
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
CpuTensorHandle.hpp
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+
armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition: WorkloadInfo.hpp:16
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
+
armnn::NeonGreaterWorkloadValidate
arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
Definition: NeonGreaterWorkload.cpp:13
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