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 --- 20.02/_ref_activation_workload_8cpp_source.xhtml | 133 +++++++++++++++++++++++ 1 file changed, 133 insertions(+) create mode 100644 20.02/_ref_activation_workload_8cpp_source.xhtml (limited to '20.02/_ref_activation_workload_8cpp_source.xhtml') diff --git a/20.02/_ref_activation_workload_8cpp_source.xhtml b/20.02/_ref_activation_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..3e46515e9d --- /dev/null +++ b/20.02/_ref_activation_workload_8cpp_source.xhtml @@ -0,0 +1,133 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/RefActivationWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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RefActivationWorkload.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RefActivationWorkload.hpp"
7 
8 #include "Activation.hpp"
9 #include "Decoders.hpp"
10 #include "Encoders.hpp"
11 #include "RefWorkloadUtils.hpp"
12 
13 #include "Profiling.hpp"
14 
15 namespace armnn
16 {
17 
18 void RefActivationWorkload::Execute() const
19 {
20  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefActivationWorkload_Execute");
21 
22  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
23  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
24 
25  Activation(*MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map()),
26  *MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map()),
27  inputInfo,
28  m_Data.m_Parameters.m_Function,
29  m_Data.m_Parameters.m_A,
30  m_Data.m_Parameters.m_B);
31 }
32 
33 } //namespace armnn
Activation.hpp
+
armnn::Compute::CpuRef
CPU Execution: Reference C++ kernels.
+
RefWorkloadUtils.hpp
+ + +
armnn::BaseWorkload< ActivationQueueDescriptor >::m_Data
const ActivationQueueDescriptor m_Data
Definition: Workload.hpp:46
+
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:25
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+ +
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
+
Encoders.hpp
+
armnn::RefActivationWorkload::Execute
virtual void Execute() const override
Definition: RefActivationWorkload.cpp:18
+
Decoders.hpp
+
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:37
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+
RefActivationWorkload.hpp
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
+
Profiling.hpp
+
armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:39
+
armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square).
Definition: Descriptors.hpp:35
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