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_log_softmax_workload_8cpp_source.xhtml | 138 +++++++++++++++++++++ 1 file changed, 138 insertions(+) create mode 100644 21.02/_neon_log_softmax_workload_8cpp_source.xhtml (limited to '21.02/_neon_log_softmax_workload_8cpp_source.xhtml') diff --git a/21.02/_neon_log_softmax_workload_8cpp_source.xhtml b/21.02/_neon_log_softmax_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..22236d1649 --- /dev/null +++ b/21.02/_neon_log_softmax_workload_8cpp_source.xhtml @@ -0,0 +1,138 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonLogSoftmaxWorkload.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonLogSoftmaxWorkload.hpp"
7 #include "NeonWorkloadUtils.hpp"
8 
9 #include <armnn/utility/PolymorphicDowncast.hpp>
10 
11 #include <aclCommon/ArmComputeUtils.hpp>
12 #include <aclCommon/ArmComputeTensorUtils.hpp>
13 
14 #include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h>
15 
16 namespace armnn
17 {
18 
19 arm_compute::Status NeonLogSoftmaxWorkloadValidate(const TensorInfo& input,
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 
33 NeonLogSoftmaxWorkload::NeonLogSoftmaxWorkload(const LogSoftmaxQueueDescriptor& descriptor,
34  const WorkloadInfo& info,
35  std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
36  : BaseWorkload<LogSoftmaxQueueDescriptor>(descriptor, info)
37 {
38  m_Data.ValidateInputsOutputs("NeonLogSoftmaxWorkload", 1, 1);
39 
40  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
41  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
42 
43  auto layer = std::make_unique<arm_compute::NELogSoftmaxLayer>(memoryManager);
44  int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
45  layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
46  m_LogSoftmaxLayer.reset(layer.release());
47 }
48 
49 void NeonLogSoftmaxWorkload::Execute() const
50 {
51  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonLogSoftmaxWorkload_Execute");
52  m_LogSoftmaxLayer->run();
53 }
54 
55 } //namespace armnn
56 
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:230
+
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:154
+
armnn::NeonLogSoftmaxWorkload::NeonLogSoftmaxWorkload
NeonLogSoftmaxWorkload(const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
Definition: NeonLogSoftmaxWorkload.cpp:33
+
ArmComputeUtils.hpp
+
armnn::NeonLogSoftmaxWorkloadValidate
arm_compute::Status NeonLogSoftmaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor)
Definition: NeonLogSoftmaxWorkload.cpp:19
+ +
armnn::BaseWorkload< LogSoftmaxQueueDescriptor >::m_Data
const LogSoftmaxQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
armnn::SoftmaxDescriptor::m_Beta
float m_Beta
Exponentiation value.
Definition: Descriptors.hpp:152
+
ArmComputeTensorUtils.hpp
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:460
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6
+ +
PolymorphicDowncast.hpp
+
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18
+ +
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
armnn::NeonLogSoftmaxWorkload::Execute
virtual void Execute() const override
Definition: NeonLogSoftmaxWorkload.cpp:49
+
NeonWorkloadUtils.hpp
+
NeonLogSoftmaxWorkload.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::SoftmaxDescriptor
A SoftmaxDescriptor for the SoftmaxLayer.
Definition: Descriptors.hpp:139
+
+
+ + + + -- cgit v1.2.1