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
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
|
//
// Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SharedFunctions.hpp"
#include <ClassicDelegateUtils.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
{
TfLiteStatus ValidateFloorOperator(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
const armnn::TensorInfo& inputTensorInfo,
const armnn::TensorInfo& outputTensorInfo)
{
bool isSupported = false;
auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
{
FORWARD_LAYER_SUPPORT_FUNC("FLOOR",
tfLiteContext,
IsFloorSupported,
delegateData.m_Backends,
isSupported,
armnn::BackendId(),
inputTensorInfo,
outInfo);
};
validateFunc(outputTensorInfo, isSupported);
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteStatus ValidateFusedActivationOperator(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
const armnn::TensorInfo& inputInfo,
const armnn::TensorInfo& outputInfo,
TfLiteFusedActivation activationType)
{
armnn::ActivationDescriptor activationDesc;
switch (activationType)
{
case kTfLiteActNone:
{
// No Activation
return kTfLiteOk;
}
case kTfLiteActRelu:
{
activationDesc.m_Function = armnn::ActivationFunction::ReLu;
break;
}
// The name of kTfLiteActRelu1 changed after TF Lite v2.3
#if defined(ARMNN_POST_TFLITE_2_3)
case kTfLiteActReluN1To1:
#else
case kTfLiteActRelu1:
#endif
{
activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu;
activationDesc.m_A = 1.0f;
activationDesc.m_B = -1.0f;
break;
}
case kTfLiteActRelu6:
{
activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu;
activationDesc.m_A = 6.0f;
activationDesc.m_B = 0.0f;
break;
}
case kTfLiteActSigmoid:
{
activationDesc.m_Function = armnn::ActivationFunction::Sigmoid;
break;
}
case kTfLiteActTanh:
{
activationDesc.m_Function = armnn::ActivationFunction::TanH;
activationDesc.m_A = 1.0f;
activationDesc.m_B = 1.0f;
break;
}
default:
return kTfLiteError;
}
bool isSupported = false;
armnn::BackendId setBackend;
auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported)
{
FORWARD_LAYER_SUPPORT_FUNC("ACTIVATION",
tfLiteContext,
IsActivationSupported,
delegateData.m_Backends,
isSupported,
armnn::BackendId(),
inputInfo,
outputInfo,
activationDesc);
};
validateFunc(outputInfo, isSupported);
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteNode* GetNodeConnectedToInput(TfLiteContext* tfLiteContext,
int32_t& connectedIndex,
int32_t inputIdx)
{
TfLiteIntArray* executionPlan = nullptr;
if (tfLiteContext->GetExecutionPlan(tfLiteContext, &executionPlan) != kTfLiteOk)
{
TF_LITE_KERNEL_LOG(tfLiteContext, "TfLiteArmnnDelegate: Unable to get graph execution plan.");
return nullptr;
}
for (int i = 0; i < executionPlan->size; ++i)
{
connectedIndex = executionPlan->data[i];
// If TfLite nodes can be delegated to ArmNN
TfLiteNode* connectedNode = nullptr;
TfLiteRegistration* tfLiteRegistration = nullptr;
if (tfLiteContext->GetNodeAndRegistration(
tfLiteContext, connectedIndex, &connectedNode, &tfLiteRegistration) != kTfLiteOk)
{
TF_LITE_KERNEL_LOG(tfLiteContext,
"TfLiteArmnnDelegate: Unable to get node and registration for node %d.",
connectedIndex);
continue;
}
for (int j= 0; j < connectedNode->outputs->size; ++j)
{
if (connectedNode->outputs->data[j] == inputIdx)
{
return connectedNode;
}
}
}
// No node found so set connectedIndex to -1
connectedIndex = -1;
return nullptr;
}
bool WillInputBeOptimizedToConst(TfLiteContext* tfLiteContext, int32_t inputIdx)
{
int32_t connectedIndex;
TfLiteNode* connectedNode = GetNodeConnectedToInput(tfLiteContext, connectedIndex, inputIdx);
if (connectedNode)
{
TfLiteRegistration* tfLiteRegistration = nullptr;
if (tfLiteContext->GetNodeAndRegistration(tfLiteContext, connectedIndex, &connectedNode, &tfLiteRegistration)
== kTfLiteOk)
{
switch (tfLiteRegistration->builtin_code)
{
case kTfLiteBuiltinDequantize:
{
if (connectedNode->inputs->size >= 1)
{
const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[connectedNode->inputs->data[0]];
// If the input to the Dequantize is a Constant then both that Constant layer and the Dequantize
// layer will be replaced by a single Constant layer containing the dequantized values.
if (tflite::IsConstantTensor(&tfLiteInputTensor))
{
return true;
}
}
break;
}
default:
{
}
}
}
}
return false;
}
} // namespace armnnDelegate
|
