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 --- 21.02/_conv_impl_8hpp_source.xhtml | 129 +++++++++++++++++++++++++++++++++++++ 1 file changed, 129 insertions(+) create mode 100644 21.02/_conv_impl_8hpp_source.xhtml (limited to '21.02/_conv_impl_8hpp_source.xhtml') diff --git a/21.02/_conv_impl_8hpp_source.xhtml b/21.02/_conv_impl_8hpp_source.xhtml new file mode 100644 index 0000000000..645916388b --- /dev/null +++ b/21.02/_conv_impl_8hpp_source.xhtml @@ -0,0 +1,129 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/ConvImpl.hpp Source File + + + + + + + + + + + + + + + + +
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ConvImpl.hpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #pragma once
7 
8 #include "RefWorkloadUtils.hpp"
9 #include "TensorBufferArrayView.hpp"
10 #include "BaseIterator.hpp"
11 #include "Decoders.hpp"
12 #include "Encoders.hpp"
13 
14 #include <armnn/Tensor.hpp>
15 
16 #include <armnnUtils/DataLayoutIndexed.hpp>
17 
18 #include <cmath>
19 #include <limits>
20 
21 namespace armnn
22 {
23 
24 /// Performs multiplication of an integer with a multiplier which is less than one,
25 /// using quantized integer arithmetic which is consistent with AndroidNN's CPU executor.
26 struct QuantizedMultiplierSmallerThanOne
27 {
28 public:
29  /// Constructs a QuantizedMultiplierSmallerThanOne which will multiply by the given multiplier.
30  /// This stores the appropriate integer quantities (derived from the given multiplier) for later use.
31  /// The implementation of this function is adapted from Android NN's QuantizeMultiplierSmallerThanOne().
32  QuantizedMultiplierSmallerThanOne(float multiplier);
33 
34  /// The implementation of this function is adapted from Android NN's MultiplyByQuantizedMultiplierSmallerThanOne().
35  int32_t operator*(int32_t rhs) const;
36 
37 private:
38  /// The implementation of this function is adapted from gemmlowp's SaturatingRoundingDoublingHighMul().
39  static int32_t SaturatingRoundingDoublingHighMul(int32_t a, int32_t b);
40 
41  /// The implementation of this function is adapted from gemmlowp's RoundingDivideByPOT().
42  static int32_t RoundingDivideByPOT(int32_t x, int exponent);
43 
44  int32_t m_Multiplier;
45  int32_t m_RightShift;
46 };
47 
48 void Convolve(const TensorShape& rInputShape,
49  Decoder<float>& rInputDecoder,
50  const TensorShape& rOutputShape,
51  Encoder<float>& rOutputEncoder,
52  const TensorShape& rFilterShape,
53  Decoder<float>& rFilterDecoder,
54  bool biasEnabled,
55  Decoder<float>* pBiasDecoder,
56  DataLayout dataLayout,
57  unsigned int paddingTop,
58  unsigned int paddingLeft,
59  unsigned int xStride,
60  unsigned int yStride,
61  unsigned int xDilation,
62  unsigned int yDilation,
63  bool depthwise = false);
64 } //namespace armnn
DataLayoutIndexed.hpp
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:50
+
Tensor.hpp
+
RefWorkloadUtils.hpp
+
armnn::QuantizedMultiplierSmallerThanOne::operator*
int32_t operator*(int32_t rhs) const
The implementation of this function is adapted from Android NN&#39;s MultiplyByQuantizedMultiplierSmaller...
Definition: ConvImpl.cpp:41
+ +
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6
+ +
armnn::QuantizedMultiplierSmallerThanOne
Performs multiplication of an integer with a multiplier which is less than one, using quantized integ...
Definition: ConvImpl.hpp:26
+
TensorBufferArrayView.hpp
+
Encoders.hpp
+
armnn::QuantizedMultiplierSmallerThanOne::QuantizedMultiplierSmallerThanOne
QuantizedMultiplierSmallerThanOne(float multiplier)
Constructs a QuantizedMultiplierSmallerThanOne which will multiply by the given multiplier.
Definition: ConvImpl.cpp:16
+
BaseIterator.hpp
+
armnn::Convolve
void Convolve(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rFilterShape, Decoder< float > &rFilterDecoder, bool biasEnabled, Decoder< float > *pBiasDecoder, DataLayout dataLayout, unsigned int paddingTop, unsigned int paddingLeft, unsigned int xStride, unsigned int yStride, unsigned int xDilation, unsigned int yDilation, bool depthwise)
Definition: ConvImpl.cpp:71
+
Decoders.hpp
+ +
+
+ + + + -- cgit v1.2.1