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
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
|
//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "DelegateOptions.hpp"
#include <tensorflow/lite/builtin_ops.h>
#include <tensorflow/lite/c/builtin_op_data.h>
#include <tensorflow/lite/c/common.h>
#include <tensorflow/lite/minimal_logging.h>
namespace armnnDelegate
{
struct DelegateData
{
DelegateData(const std::vector<armnn::BackendId>& backends)
: m_Backends(backends)
, m_Network(nullptr, nullptr)
{}
const std::vector<armnn::BackendId> m_Backends;
armnn::INetworkPtr m_Network;
std::vector<armnn::IOutputSlot*> m_OutputSlotForNode;
};
// Forward decleration for functions initializing the ArmNN Delegate
DelegateOptions TfLiteArmnnDelegateOptionsDefault();
TfLiteDelegate* TfLiteArmnnDelegateCreate(armnnDelegate::DelegateOptions options);
void TfLiteArmnnDelegateDelete(TfLiteDelegate* tfLiteDelegate);
TfLiteStatus DoPrepare(TfLiteContext* context, TfLiteDelegate* delegate);
/// ArmNN Delegate
class Delegate
{
friend class ArmnnSubgraph;
public:
explicit Delegate(armnnDelegate::DelegateOptions options);
TfLiteIntArray* IdentifyOperatorsToDelegate(TfLiteContext* context);
TfLiteDelegate* GetDelegate();
/// Retrieve version in X.Y.Z form
static const std::string GetVersion();
private:
TfLiteDelegate m_Delegate = {
reinterpret_cast<void*>(this), // .data_
DoPrepare, // .Prepare
nullptr, // .CopyFromBufferHandle
nullptr, // .CopyToBufferHandle
nullptr, // .FreeBufferHandle
kTfLiteDelegateFlagsNone, // .flags
};
/// ArmNN Runtime pointer
armnn::IRuntimePtr m_Runtime;
/// ArmNN Delegate Options
armnnDelegate::DelegateOptions m_Options;
};
/// ArmnnSubgraph class where parsing the nodes to ArmNN format and creating the ArmNN Graph
class ArmnnSubgraph
{
public:
static ArmnnSubgraph* Create(TfLiteContext* tfLiteContext,
const TfLiteDelegateParams* parameters,
const Delegate* delegate);
TfLiteStatus Prepare(TfLiteContext* tfLiteContext);
TfLiteStatus Invoke(TfLiteContext* tfLiteContext, TfLiteNode* tfLiteNode);
static TfLiteStatus VisitNode(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
TfLiteRegistration* tfLiteRegistration,
TfLiteNode* tfLiteNode,
int nodeIndex);
private:
ArmnnSubgraph(armnn::NetworkId networkId,
armnn::IRuntime* runtime,
std::vector<armnn::BindingPointInfo>& inputBindings,
std::vector<armnn::BindingPointInfo>& outputBindings)
: m_NetworkId(networkId), m_Runtime(runtime), m_InputBindings(inputBindings), m_OutputBindings(outputBindings)
{}
static TfLiteStatus AddInputLayer(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
const TfLiteIntArray* inputs,
std::vector<armnn::BindingPointInfo>& inputBindings);
static TfLiteStatus AddOutputLayer(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
const TfLiteIntArray* outputs,
std::vector<armnn::BindingPointInfo>& outputBindings);
/// The Network Id
armnn::NetworkId m_NetworkId;
/// ArmNN Rumtime
armnn::IRuntime* m_Runtime;
// Binding information for inputs and outputs
std::vector<armnn::BindingPointInfo> m_InputBindings;
std::vector<armnn::BindingPointInfo> m_OutputBindings;
};
} // armnnDelegate namespace
|