ArmNN
 24.02
NeonLogSoftmaxWorkload.cpp
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1 //
2 // Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 #include "NeonWorkloadUtils.hpp"
8 
10 
13 
14 #include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h>
15 
16 namespace armnn
17 {
18 
20  const TensorInfo& output,
21  const LogSoftmaxDescriptor& descriptor)
22 {
23  const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
24  const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
25 
26  int aclAxis = ComputeAclAxis(descriptor.m_Axis, input);
27  return arm_compute::NELogSoftmaxLayer::validate(&aclInputInfo,
28  &aclOutputInfo,
29  descriptor.m_Beta,
30  aclAxis);
31 }
32 
34  const WorkloadInfo& info,
35  std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
37 {
38  // Report Profiling Details
39  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonLogSoftmaxWorkload_Construct",
40  descriptor.m_Parameters,
41  info,
42  this->GetGuid());
43 
44  m_Data.ValidateInputsOutputs("NeonLogSoftmaxWorkload", 1, 1);
45 
46  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
47  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
48 
49  auto layer = std::make_unique<arm_compute::NELogSoftmaxLayer>(memoryManager);
50  int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
51  layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
52  m_LogSoftmaxLayer.reset(layer.release());
53 }
54 
56 {
57  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonLogSoftmaxWorkload_Execute");
58  m_LogSoftmaxLayer->run();
59 }
60 
61 } //namespace armnn
62 
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:446
armnn::SoftmaxDescriptor::m_Beta
float m_Beta
Exponentiation value.
Definition: Descriptors.hpp:190
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::NeonLogSoftmaxWorkloadValidate
arm_compute::Status NeonLogSoftmaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor)
Definition: NeonLogSoftmaxWorkload.cpp:19
NeonLogSoftmaxWorkload.hpp
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::NeonLogSoftmaxWorkload::Execute
virtual void Execute() const override
Definition: NeonLogSoftmaxWorkload.cpp:55
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
PolymorphicDowncast.hpp
ArmComputeUtils.hpp
armnn::BoostLogSeverityMapping::info
@ info
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
armnn::LogSoftmaxQueueDescriptor
Definition: WorkloadData.hpp:363
armnn::NeonLogSoftmaxWorkload::NeonLogSoftmaxWorkload
NeonLogSoftmaxWorkload(const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
Definition: NeonLogSoftmaxWorkload.cpp:33
armnn::Status
Status
Definition: Types.hpp:42
armnn::BaseWorkload< LogSoftmaxQueueDescriptor >::m_Data
LogSoftmaxQueueDescriptor m_Data
Definition: Workload.hpp:89
armnn::SoftmaxDescriptor::m_Axis
int m_Axis
Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...
Definition: Descriptors.hpp:192
NeonWorkloadUtils.hpp
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
ArmComputeTensorUtils.hpp
ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: NeonWorkloadUtils.hpp:32
armnn::NeonBaseWorkload
Definition: NeonBaseWorkload.hpp:13
armnn::SoftmaxDescriptor
A SoftmaxDescriptor for the SoftmaxLayer.
Definition: Descriptors.hpp:177
armnn::ComputeAclAxis
int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)
Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...
Definition: ArmComputeUtils.hpp:273
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26