ArmNN
 20.02
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/assert.hpp>
19 #include <boost/numeric/conversion/cast.hpp>
20 
21 #include <cmath>
22 #include <limits>
23 
24 namespace armnn
25 {
26 
27 /// Performs multiplication of an integer with a multiplier which is less than one,
28 /// using quantized integer arithmetic which is consistent with AndroidNN's CPU executor.
30 {
31 public:
32  /// Constructs a QuantizedMultiplierSmallerThanOne which will multiply by the given multiplier.
33  /// This stores the appropriate integer quantities (derived from the given multiplier) for later use.
34  /// The implementation of this function is adapted from Android NN's QuantizeMultiplierSmallerThanOne().
35  QuantizedMultiplierSmallerThanOne(float multiplier);
36 
37  /// The implementation of this function is adapted from Android NN's MultiplyByQuantizedMultiplierSmallerThanOne().
38  int32_t operator*(int32_t rhs) const;
39 
40 private:
41  /// The implementation of this function is adapted from gemmlowp's SaturatingRoundingDoublingHighMul().
42  static int32_t SaturatingRoundingDoublingHighMul(int32_t a, int32_t b);
43 
44  /// The implementation of this function is adapted from gemmlowp's RoundingDivideByPOT().
45  static int32_t RoundingDivideByPOT(int32_t x, int exponent);
46 
47  int32_t m_Multiplier;
48  int32_t m_RightShift;
49 };
50 
51 void Convolve(const TensorShape& rInputShape,
52  Decoder<float>& rInputDecoder,
53  const TensorShape& rOutputShape,
54  Encoder<float>& rOutputEncoder,
55  const TensorShape& rFilterShape,
56  Decoder<float>& rFilterDecoder,
57  bool biasEnabled,
58  Decoder<float>* pBiasDecoder,
59  DataLayout dataLayout,
60  unsigned int paddingTop,
61  unsigned int paddingLeft,
62  unsigned int xStride,
63  unsigned int yStride,
64  unsigned int xDilation,
65  unsigned int yDilation,
66  bool depthwise = false);
67 } //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:29
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