From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_neon_maximum_workload_8cpp_source.xhtml | 131 +++++++++++++++++++++++++ 1 file changed, 131 insertions(+) create mode 100644 21.02/_neon_maximum_workload_8cpp_source.xhtml (limited to '21.02/_neon_maximum_workload_8cpp_source.xhtml') diff --git a/21.02/_neon_maximum_workload_8cpp_source.xhtml b/21.02/_neon_maximum_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..9ddc31c88a --- /dev/null +++ b/21.02/_neon_maximum_workload_8cpp_source.xhtml @@ -0,0 +1,131 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonMaximumWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonMaximumWorkload.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 
10 
11 namespace armnn
12 {
13 
15  const TensorInfo& input1,
16  const TensorInfo& output)
17 {
18  const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
19  const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
20  const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
21 
22  return arm_compute::NEElementwiseMax::validate(&aclInput0,
23  &aclInput1,
24  &aclOutput);
25 }
26 
28  const WorkloadInfo& info)
29  : BaseWorkload<MaximumQueueDescriptor>(descriptor, info)
30 {
31  m_Data.ValidateInputsOutputs("NeonMaximumWorkload", 2, 1);
32 
33  arm_compute::ITensor& input0 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
34  arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
35  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
36 
37  m_MaxLayer.configure(&input0, &input1, &output);
38 }
39 
41 {
42  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMaximumWorkload_Execute");
43  m_MaxLayer.run();
44 }
45 
46 } //namespace armnn
+ +
NeonMaximumWorkload(const MaximumQueueDescriptor &descriptor, const WorkloadInfo &info)
+
const MaximumQueueDescriptor m_Data
Definition: Workload.hpp:46
+
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
+
virtual void Execute() const override
+ +
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
+
Copyright (c) 2021 ARM Limited and Contributors.
+ + +
Status
enumeration
Definition: Types.hpp:26
+ + +
std::vector< ITensorHandle * > m_Outputs
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arm_compute::Status NeonMaximumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
+
Contains information about inputs and outputs to a layer.
+
std::vector< ITensorHandle * > m_Inputs
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