From 0e2bab81442ee6cc2b94e4f7881ed0c5c6af65e7 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Thu, 19 Mar 2020 17:03:14 +0000 Subject: Creating gh-pages documentation for ArmNN Signed-off-by: Jim Flynn --- ...stance_normalization_workload_8cpp_source.xhtml | 143 +++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 Documentation/_cl_instance_normalization_workload_8cpp_source.xhtml (limited to 'Documentation/_cl_instance_normalization_workload_8cpp_source.xhtml') diff --git a/Documentation/_cl_instance_normalization_workload_8cpp_source.xhtml b/Documentation/_cl_instance_normalization_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..870d3dca23 --- /dev/null +++ b/Documentation/_cl_instance_normalization_workload_8cpp_source.xhtml @@ -0,0 +1,143 @@ + + + + + + + + + + + + + +ArmNN: src/backends/cl/workloads/ClInstanceNormalizationWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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ClInstanceNormalizationWorkload.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 "ClInstanceNormalizationWorkload.hpp"
7 #include "ClWorkloadUtils.hpp"
8 
9 #include <aclCommon/ArmComputeTensorUtils.hpp>
10 
11 #include <cl/ClTensorHandle.hpp>
12 
13 using namespace armnn::armcomputetensorutils;
14 
15 namespace armnn
16 {
17 
18 arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo& input,
19  const TensorInfo& output,
20  const InstanceNormalizationDescriptor& descriptor)
21 {
22  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
23  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
24 
25  return arm_compute::CLInstanceNormalizationLayer::validate(&aclInputInfo,
26  &aclOutputInfo,
27  descriptor.m_Gamma,
28  descriptor.m_Beta,
29  descriptor.m_Eps);
30 }
31 
32 ClInstanceNormalizationWorkload::ClInstanceNormalizationWorkload(
33  const InstanceNormalizationQueueDescriptor& descriptor,
34  const WorkloadInfo& info)
35  : BaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info)
36 {
37  m_Data.ValidateInputsOutputs("ClInstanceNormalizationWorkload", 1, 1);
38 
39  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
40  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
41 
42  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
43  input.info()->set_data_layout(aclDataLayout);
44  output.info()->set_data_layout(aclDataLayout);
45 
46  m_Layer.configure(&input,
47  &output,
48  descriptor.m_Parameters.m_Gamma,
49  descriptor.m_Parameters.m_Beta,
50  descriptor.m_Parameters.m_Eps);
51 };
52 
53 void ClInstanceNormalizationWorkload::Execute() const
54 {
55  ARMNN_SCOPED_PROFILING_EVENT_CL("ClInstanceNormalizationWorkload_Execute");
56  RunClFunction(m_Layer, CHECK_LOCATION());
57 }
58 
59 } // namespace armnn
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
+
ClInstanceNormalizationWorkload.hpp
+
armnn::ClInstanceNormalizationWorkloadValidate
arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor)
Definition: ClInstanceNormalizationWorkload.cpp:18
+ + +
ARMNN_SCOPED_PROFILING_EVENT_CL
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
Definition: ClWorkloadUtils.hpp:20
+
armnn::RunClFunction
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
Definition: ClWorkloadUtils.hpp:131
+
armnn::BaseWorkload< InstanceNormalizationQueueDescriptor >::m_Data
const InstanceNormalizationQueueDescriptor m_Data
Definition: Workload.hpp:46
+
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
+
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::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
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+
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
+
ClTensorHandle.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::ClInstanceNormalizationWorkload::ClInstanceNormalizationWorkload
ClInstanceNormalizationWorkload(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: ClInstanceNormalizationWorkload.cpp:32
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
+
armnn::InstanceNormalizationDescriptor
An InstanceNormalizationDescriptor for InstanceNormalizationLayer.
Definition: Descriptors.hpp:629
+ +
ClWorkloadUtils.hpp
+
+
+ + + + -- cgit v1.2.1