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_pooling2d_workload_8cpp_source.xhtml | 129 ++++++++++++++++++++++++ 1 file changed, 129 insertions(+) create mode 100644 20.02/_ref_pooling2d_workload_8cpp_source.xhtml (limited to '20.02/_ref_pooling2d_workload_8cpp_source.xhtml') diff --git a/20.02/_ref_pooling2d_workload_8cpp_source.xhtml b/20.02/_ref_pooling2d_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..9bef31288d --- /dev/null +++ b/20.02/_ref_pooling2d_workload_8cpp_source.xhtml @@ -0,0 +1,129 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/RefPooling2dWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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RefPooling2dWorkload.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 
7 
8 #include "Pooling2d.hpp"
9 #include "RefWorkloadUtils.hpp"
10 
11 #include "Profiling.hpp"
12 #include "BaseIterator.hpp"
13 
14 namespace armnn
15 {
17 {
18  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefPooling2dWorkload_Execute");
19 
20  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
21  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
22 
23  auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0] ->Map());
24  auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
25 
26  Pooling2d(*inputDecoder,
27  *outputEncoder,
28  inputInfo,
29  outputInfo,
31 }
32 } //namespace armnn
CPU Execution: Reference C++ kernels.
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virtual void Execute() const override
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const Pooling2dQueueDescriptor m_Data
Definition: Workload.hpp:46
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const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
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Copyright (c) 2020 ARM Limited.
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#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
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std::vector< ITensorHandle * > m_Outputs
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std::vector< ITensorHandle * > m_Inputs
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