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_dequantize_workload_8cpp_source.xhtml | 128 +++++++++++++++++++++++ 1 file changed, 128 insertions(+) create mode 100644 20.02/_ref_dequantize_workload_8cpp_source.xhtml (limited to '20.02/_ref_dequantize_workload_8cpp_source.xhtml') diff --git a/20.02/_ref_dequantize_workload_8cpp_source.xhtml b/20.02/_ref_dequantize_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..b1316aebd8 --- /dev/null +++ b/20.02/_ref_dequantize_workload_8cpp_source.xhtml @@ -0,0 +1,128 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/RefDequantizeWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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RefDequantizeWorkload.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 #include "RefWorkloadUtils.hpp"
8 #include "Encoders.hpp"
9 #include "Decoders.hpp"
10 #include "Dequantize.hpp"
11 
12 namespace armnn
13 {
14 
16 {
17  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDequantizeWorkload_Execute");
18 
19  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
20  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
21 
22  auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
23  auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
24 
25  Dequantize(*inputDecoder, *outputEncoder, inputInfo, outputInfo);
26 }
27 
28 } // namespace armnn
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CPU Execution: Reference C++ kernels.
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const DequantizeQueueDescriptor 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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