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 --- ...stance_normalization_workload_8cpp_source.xhtml | 142 +++++++++++++++++++++ 1 file changed, 142 insertions(+) create mode 100644 20.02/_neon_instance_normalization_workload_8cpp_source.xhtml (limited to '20.02/_neon_instance_normalization_workload_8cpp_source.xhtml') diff --git a/20.02/_neon_instance_normalization_workload_8cpp_source.xhtml b/20.02/_neon_instance_normalization_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..5d033b5bee --- /dev/null +++ b/20.02/_neon_instance_normalization_workload_8cpp_source.xhtml @@ -0,0 +1,142 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonInstanceNormalizationWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonInstanceNormalizationWorkload.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonInstanceNormalizationWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 
10 #include <aclCommon/ArmComputeTensorUtils.hpp>
11 #include <backendsCommon/CpuTensorHandle.hpp>
12 #include <neon/NeonTensorHandle.hpp>
13 
14 using namespace armnn::armcomputetensorutils;
15 
16 namespace armnn
17 {
18 
19 arm_compute::Status NeonInstanceNormalizationWorkloadValidate(const TensorInfo& input,
20  const TensorInfo& output,
21  const InstanceNormalizationDescriptor& descriptor)
22 {
23  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
24  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
25 
26  return arm_compute::NEInstanceNormalizationLayer::validate(&aclInputInfo,
27  &aclOutputInfo,
28  descriptor.m_Gamma,
29  descriptor.m_Beta,
30  descriptor.m_Eps);
31 }
32 
33 NeonInstanceNormalizationWorkload::NeonInstanceNormalizationWorkload(
34  const InstanceNormalizationQueueDescriptor& descriptor,
35  const WorkloadInfo& info)
36  : BaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info)
37 {
38  m_Data.ValidateInputsOutputs("NeonInstanceNormalizationWorkload", 1, 1);
39 
40  arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
41  arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
42 
43  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
44  input.info()->set_data_layout(aclDataLayout);
45  output.info()->set_data_layout(aclDataLayout);
46 
47  m_Layer.configure(&input,
48  &output,
49  descriptor.m_Parameters.m_Gamma,
50  descriptor.m_Parameters.m_Beta,
51  descriptor.m_Parameters.m_Eps);
52 };
53 
54 void NeonInstanceNormalizationWorkload::Execute() const
55 {
56  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonInstanceNormalizationWorkload_Execute");
57  m_Layer.run();
58 }
59 
60 } // namespace armnn
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
+ + +
armnn::BaseWorkload< InstanceNormalizationQueueDescriptor >::m_Data
const InstanceNormalizationQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
armnn::InstanceNormalizationDescriptor::m_Gamma
float m_Gamma
Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0. ...
Definition: Descriptors.hpp:647
+
NeonTensorHandle.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::NeonInstanceNormalizationWorkloadValidate
arm_compute::Status NeonInstanceNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor)
Definition: NeonInstanceNormalizationWorkload.cpp:19
+
armnn::NeonInstanceNormalizationWorkload::NeonInstanceNormalizationWorkload
NeonInstanceNormalizationWorkload(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonInstanceNormalizationWorkload.cpp:33
+ +
NeonInstanceNormalizationWorkload.hpp
+
armnn::InstanceNormalizationDescriptor::m_Eps
float m_Eps
Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f...
Definition: Descriptors.hpp:651
+
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
NeonWorkloadUtils.hpp
+
armnn::InstanceNormalizationDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:653
+
armnn::InstanceNormalizationDescriptor::m_Beta
float m_Beta
Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0. ...
Definition: Descriptors.hpp:649
+
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::InstanceNormalizationDescriptor
An InstanceNormalizationDescriptor for InstanceNormalizationLayer.
Definition: Descriptors.hpp:629
+ +
+
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