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_quantize_workload_8cpp_source.xhtml | 128 +++++++++++++++++++++++++ 1 file changed, 128 insertions(+) create mode 100644 20.02/_ref_quantize_workload_8cpp_source.xhtml (limited to '20.02/_ref_quantize_workload_8cpp_source.xhtml') diff --git a/20.02/_ref_quantize_workload_8cpp_source.xhtml b/20.02/_ref_quantize_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..bb352b05cc --- /dev/null +++ b/20.02/_ref_quantize_workload_8cpp_source.xhtml @@ -0,0 +1,128 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/RefQuantizeWorkload.cpp Source File + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  20.02 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+
+
RefQuantizeWorkload.cpp
+
+
+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 "RefQuantizeWorkload.hpp"
7 
8 #include "RefWorkloadUtils.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
12 
13 namespace armnn
14 {
15 
16 namespace
17 {
18 
19 void QuantizeImpl(Decoder<float>& in, Encoder<float>& out, size_t numValues)
20 {
21  for (unsigned int i = 0; i < numValues; i++)
22  {
23  in[i];
24  out[i];
25  out.Set(in.Get());
26  }
27 }
28 
29 } //namespace
30 
31 RefQuantizeWorkload::RefQuantizeWorkload(const QuantizeQueueDescriptor& descriptor, const WorkloadInfo &info)
32  : BaseWorkload(descriptor, info)
33  , m_NumElements(info.m_InputTensorInfos[0].GetNumElements())
34 {
35 }
36 
37 void RefQuantizeWorkload::PostAllocationConfigure()
38 {
39  const TensorInfo& inputInfo = armnn::GetTensorInfo(m_Data.m_Inputs[0]);
40  m_InputDecoder = MakeDecoder<float>(inputInfo);
41 
42  const TensorInfo& outputInfo = armnn::GetTensorInfo(m_Data.m_Outputs[0]);
43  m_OutputEncoder = MakeEncoder<float>(outputInfo);
44 }
45 
46 void RefQuantizeWorkload::Execute() const
47 {
48  m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
49  m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
50 
51  QuantizeImpl(*m_InputDecoder, *m_OutputEncoder, m_NumElements);
52 }
53 
54 } //namespace armnn
+
RefWorkloadUtils.hpp
+ +
armnn::BaseWorkload< QuantizeQueueDescriptor >::m_Data
const QuantizeQueueDescriptor 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
+
TypesUtils.hpp
+ + +
armnn::RefQuantizeWorkload::Execute
void Execute() const override
Definition: RefQuantizeWorkload.cpp:46
+
RefQuantizeWorkload.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::RefQuantizeWorkload::RefQuantizeWorkload
RefQuantizeWorkload(const QuantizeQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: RefQuantizeWorkload.cpp:31
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
+
+
+ + + + -- cgit v1.2.1