ArmNN
 21.11
ClInstanceNormalizationWorkload.cpp
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1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 #include "ClWorkloadUtils.hpp"
8 
10 
11 #include <cl/ClTensorHandle.hpp>
12 
13 using namespace armnn::armcomputetensorutils;
14 
15 namespace armnn
16 {
17 
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 
33  const InstanceNormalizationQueueDescriptor& descriptor,
34  const WorkloadInfo& info,
35  const arm_compute::CLCompileContext& clCompileContext)
37 {
38  // Report Profiling Details
39  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClInstanceNormalizationWorkload_Construct",
40  descriptor.m_Parameters,
41  info,
42  this->GetGuid());
43 
44  m_Data.ValidateInputsOutputs("ClInstanceNormalizationWorkload", 1, 1);
45 
46  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
47  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
48 
49  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
50  input.info()->set_data_layout(aclDataLayout);
51  output.info()->set_data_layout(aclDataLayout);
52 
53  {
54  ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClInstanceNormalizationWorkload_configure");
55  m_Layer.configure(clCompileContext,
56  &input,
57  &output,
58  descriptor.m_Parameters.m_Gamma,
59  descriptor.m_Parameters.m_Beta,
60  descriptor.m_Parameters.m_Eps);
61  }
62 };
63 
65 {
66  ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClInstanceNormalizationWorkload_Execute", this->GetGuid());
67  RunClFunction(m_Layer, CHECK_LOCATION());
68 }
69 
70 } // namespace armnn
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
DataLayout
Definition: Types.hpp:49
arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
float m_Gamma
Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0. ...
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2021 ARM Limited and Contributors.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
ClInstanceNormalizationWorkload(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
float m_Eps
Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f...
InstanceNormalizationQueueDescriptor m_Data
Definition: Workload.hpp:58
Status
enumeration
Definition: Types.hpp:29
#define CHECK_LOCATION()
Definition: Exceptions.hpp:209
profiling::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:55
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
float m_Beta
Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0. ...
std::vector< ITensorHandle * > m_Outputs
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
Contains information about TensorInfos of a layer.
std::vector< ITensorHandle * > m_Inputs
An InstanceNormalizationDescriptor for InstanceNormalizationLayer.