blob: bfe86a4629bc5deb554ae2a3d365de28ba5217be (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
|
//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <Layer.hpp>
namespace armnn
{
class ScopedCpuTensorHandle;
struct QuantizedLstmParameters
{
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_InputToInputWeights;
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_InputToForgetWeights;
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_InputToCellWeights;
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_InputToOutputWeights;
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToInputWeights;
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToForgetWeights;
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToCellWeights;
/// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).
std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToOutputWeights;
/// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).
std::unique_ptr<ScopedCpuTensorHandle> m_InputGateBias;
/// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).
std::unique_ptr<ScopedCpuTensorHandle> m_ForgetGateBias;
/// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).
std::unique_ptr<ScopedCpuTensorHandle> m_CellBias;
/// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).
std::unique_ptr<ScopedCpuTensorHandle> m_OutputGateBias;
};
/// This layer represents a QuantizedLstm operation.
class QuantizedLstmLayer : public Layer
{
public:
QuantizedLstmParameters m_QuantizedLstmParameters;
/// Makes a workload for the QuantizedLstm type.
/// @param [in] graph The graph where this layer can be found.
/// @param [in] factory The workload factory which will create the workload.
/// @return A pointer to the created workload, or nullptr if not created.
virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
/// Creates a dynamically-allocated copy of this layer.
/// @param [in] graph The graph into which this layer is being cloned.
QuantizedLstmLayer* Clone(Graph& graph) const override;
/// Check if the input tensor shape(s)
/// will lead to a valid configuration of @ref QuantizedLstmLayer.
/// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
void ValidateTensorShapesFromInputs() override;
/// By default returns inputShapes if the number of inputs are equal to number of outputs,
/// otherwise infers the output shapes from given input shapes and layer properties.
/// @param [in] inputShapes The input shapes layer has.
/// @return A vector to the inferred output shape.
std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
void Accept(ILayerVisitor& visitor) const override;
protected:
/// Constructor to create a QuantizedLstmLayer.
/// @param [in] name Optional name for the layer.
QuantizedLstmLayer(const char* name);
/// Default destructor
~QuantizedLstmLayer() = default;
/// Retrieve the handles to the constant values stored by the layer.
/// @return A vector of the constant tensors stored by this layer.
Layer::ConstantTensors GetConstantTensorsByRef() override;
};
} // namespace armnn
|
