From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- ..._2workloads_2_fully_connected_8cpp_source.xhtml | 122 +++++++++++++++++++++ 1 file changed, 122 insertions(+) create mode 100644 21.02/backends_2reference_2workloads_2_fully_connected_8cpp_source.xhtml (limited to '21.02/backends_2reference_2workloads_2_fully_connected_8cpp_source.xhtml') diff --git a/21.02/backends_2reference_2workloads_2_fully_connected_8cpp_source.xhtml b/21.02/backends_2reference_2workloads_2_fully_connected_8cpp_source.xhtml new file mode 100644 index 0000000000..283fbc7e1e --- /dev/null +++ b/21.02/backends_2reference_2workloads_2_fully_connected_8cpp_source.xhtml @@ -0,0 +1,122 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/FullyConnected.cpp Source File + + + + + + + + + + + + + + + + +
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FullyConnected.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 "FullyConnected.hpp"
7 
8 #include "RefWorkloadUtils.hpp"
9 
10 namespace armnn
11 {
12 
13 void FullyConnected(const TensorShape& rInputShape,
14  Decoder<float>& rInputDecoder,
15  const TensorShape& rOutputShape,
16  Encoder<float>& rOutputEncoder,
17  const TensorShape& rWeightsShape,
18  Decoder<float>& rWeightDecoder,
19  Decoder<float>& rBiasDecoder,
20  const bool biasEnabled,
21  const unsigned int K,
22  const bool transposeWeights)
23 {
24  // Perform FullyConnected implementation
25  unsigned int outputSize = rOutputShape[1];
26 
27  const std::vector<float> decodedInputs = rInputDecoder.DecodeTensor(rInputShape);
28  const std::vector<float> decodedWeights = rWeightDecoder.DecodeTensor(rWeightsShape);
29 
30  const TensorShape biasShape{outputSize};
31  const std::vector<float> decodedBiases = biasEnabled ? rBiasDecoder.DecodeTensor(biasShape) : std::vector<float>();
32 
33 
34  for (unsigned int n = 0; n < rInputShape[0]; n++)
35  {
36  for (unsigned int channelOutput = 0; channelOutput < outputSize; channelOutput++)
37  {
38  float outval = 0.f;
39 
40  for (unsigned int channelInput = 0; channelInput < K; channelInput++)
41  {
42  float weight;
43  if (transposeWeights)
44  {
45  weight = decodedWeights[channelOutput * K + channelInput];
46  }
47  else
48  {
49  weight = decodedWeights[channelInput * outputSize + channelOutput];
50  }
51 
52  outval += weight * decodedInputs[n * K + channelInput];
53  }
54 
55  if (biasEnabled)
56  {
57  outval += decodedBiases[channelOutput];
58  }
59 
60  rOutputEncoder[n * outputSize + channelOutput];
61  rOutputEncoder.Set(outval);
62  }
63  }
64 }
65 
66 } //namespace armnn
RefWorkloadUtils.hpp
+
armnn::Encoder::Set
virtual void Set(IType right)=0
+ +
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6
+ +
armnn::FullyConnected
void FullyConnected(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rWeightsShape, Decoder< float > &rWeightDecoder, Decoder< float > &rBiasDecoder, const bool biasEnabled, const unsigned int K, const bool transposeWeights)
Performs a matrix multiplication and optionally adds a bias.
Definition: FullyConnected.cpp:13
+
armnn::Decoder::DecodeTensor
virtual std::vector< float > DecodeTensor(const TensorShape &tensorShape, const unsigned int channelMultiplier=1, bool isDepthwise=false)=0
+
FullyConnected.hpp
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+ + + + -- cgit v1.2.1