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_resize_workload_8cpp_source.xhtml | 136 +++++++++++++++++++++++++++ 1 file changed, 136 insertions(+) create mode 100644 20.02/_ref_resize_workload_8cpp_source.xhtml (limited to '20.02/_ref_resize_workload_8cpp_source.xhtml') diff --git a/20.02/_ref_resize_workload_8cpp_source.xhtml b/20.02/_ref_resize_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..b5875d5ccf --- /dev/null +++ b/20.02/_ref_resize_workload_8cpp_source.xhtml @@ -0,0 +1,136 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/RefResizeWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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RefResizeWorkload.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 "RefResizeWorkload.hpp"
7 
8 #include "RefWorkloadUtils.hpp"
9 #include "Resize.hpp"
10 #include "BaseIterator.hpp"
11 #include "Profiling.hpp"
12 
13 #include "BaseIterator.hpp"
14 #include "Decoders.hpp"
15 #include "Encoders.hpp"
16 
17 namespace armnn
18 {
19 
21 {
22  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefResizeWorkload_Execute");
23 
24  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
25  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
26 
27  std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
28  Decoder<float> &decoder = *decoderPtr;
29  std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
30  Encoder<float> &encoder = *encoderPtr;
31 
32  Resize(decoder,
33  inputInfo,
34  encoder,
35  outputInfo,
39 }
40 
41 } //namespace armnn
virtual void Execute() const override
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CPU Execution: Reference C++ kernels.
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const ResizeQueueDescriptor m_Data
Definition: Workload.hpp:46
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ResizeMethod m_Method
The Interpolation method to use (Bilinear, NearestNeighbor).
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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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bool m_BilinearAlignCorners
Aligned corners for bilinear method.
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std::vector< ITensorHandle * > m_Outputs
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std::vector< ITensorHandle * > m_Inputs
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DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
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