ArmNN
 20.08
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"
10 #include "BaseIterator.hpp"
11 #include "Decoders.hpp"
12 #include "Encoders.hpp"
13 
14 #include <armnn/Tensor.hpp>
15 
17 
18 #include <boost/numeric/conversion/cast.hpp>
19 
20 #include <cmath>
21 #include <limits>
22 
23 namespace armnn
24 {
25 
26 /// Performs multiplication of an integer with a multiplier which is less than one,
27 /// using quantized integer arithmetic which is consistent with AndroidNN's CPU executor.
29 {
30 public:
31  /// Constructs a QuantizedMultiplierSmallerThanOne which will multiply by the given multiplier.
32  /// This stores the appropriate integer quantities (derived from the given multiplier) for later use.
33  /// The implementation of this function is adapted from Android NN's QuantizeMultiplierSmallerThanOne().
34  QuantizedMultiplierSmallerThanOne(float multiplier);
35 
36  /// The implementation of this function is adapted from Android NN's MultiplyByQuantizedMultiplierSmallerThanOne().
37  int32_t operator*(int32_t rhs) const;
38 
39 private:
40  /// The implementation of this function is adapted from gemmlowp's SaturatingRoundingDoublingHighMul().
41  static int32_t SaturatingRoundingDoublingHighMul(int32_t a, int32_t b);
42 
43  /// The implementation of this function is adapted from gemmlowp's RoundingDivideByPOT().
44  static int32_t RoundingDivideByPOT(int32_t x, int exponent);
45 
46  int32_t m_Multiplier;
47  int32_t m_RightShift;
48 };
49 
50 void Convolve(const TensorShape& rInputShape,
51  Decoder<float>& rInputDecoder,
52  const TensorShape& rOutputShape,
53  Encoder<float>& rOutputEncoder,
54  const TensorShape& rFilterShape,
55  Decoder<float>& rFilterDecoder,
56  bool biasEnabled,
57  Decoder<float>* pBiasDecoder,
58  DataLayout dataLayout,
59  unsigned int paddingTop,
60  unsigned int paddingLeft,
61  unsigned int xStride,
62  unsigned int yStride,
63  unsigned int xDilation,
64  unsigned int yDilation,
65  bool depthwise = false);
66 } //namespace armnn
DataLayout
Definition: Types.hpp:49
int32_t operator*(int32_t rhs) const
The implementation of this function is adapted from Android NN&#39;s MultiplyByQuantizedMultiplierSmaller...
Definition: ConvImpl.cpp:41
Copyright (c) 2020 ARM Limited.
Performs multiplication of an integer with a multiplier which is less than one, using quantized integ...
Definition: ConvImpl.hpp:28
QuantizedMultiplierSmallerThanOne(float multiplier)
Constructs a QuantizedMultiplierSmallerThanOne which will multiply by the given multiplier.
Definition: ConvImpl.cpp:16
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