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
|
//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "DelegateUtils.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 ValidateAddOperator(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
const armnn::TensorInfo& inputInfo1,
const armnn::TensorInfo& inputInfo2,
const armnn::TensorInfo& outputInfo)
{
bool isSupported = false;
auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
{
FORWARD_LAYER_SUPPORT_FUNC(__func__,
tfLiteContext,
IsAdditionSupported,
delegateData.m_Backends,
isSupported,
inputInfo1,
inputInfo2,
outputTensorInfo);
};
validateFunc(outputInfo, isSupported);
return isSupported ? kTfLiteOk : kTfLiteError;
}
armnn::IConnectableLayer* AddAdditionLayer(DelegateData& delegateData)
{
if (!delegateData.m_Network)
{
return nullptr;
}
return delegateData.m_Network->AddAdditionLayer();
}
TfLiteStatus VisitElementwiseBinaryOperator(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
TfLiteNode* tfLiteNode,
int nodeIndex,
int32_t elementwiseBinaryOperatorCode)
{
TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
const TfLiteTensor& tfLiteInputTensor0 = tfLiteTensors[tfLiteNode->inputs->data[0]];
if (IsDynamicTensor(tfLiteInputTensor0))
{
TF_LITE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
elementwiseBinaryOperatorCode, nodeIndex);
return kTfLiteError;
}
const TfLiteTensor& tfLiteInputTensor1 = tfLiteTensors[tfLiteNode->inputs->data[1]];
if (IsDynamicTensor(tfLiteInputTensor1))
{
TF_LITE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
elementwiseBinaryOperatorCode, nodeIndex);
return kTfLiteError;
}
const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
if (IsDynamicTensor(tfLiteOutputTensor))
{
TF_LITE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ",
elementwiseBinaryOperatorCode, nodeIndex);
return kTfLiteError;
}
const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor0);
const armnn::TensorInfo& inputTensorInfo1 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor1);
const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
if (!delegateData.m_Network)
{
switch(elementwiseBinaryOperatorCode)
{
case kTfLiteBuiltinAdd:
return ValidateAddOperator(delegateData,
tfLiteContext,
inputTensorInfo0,
inputTensorInfo1,
outputTensorInfo);
default:
return kTfLiteError;
}
}
armnn::IConnectableLayer* elementwiseBinaryLayer = nullptr;
switch(elementwiseBinaryOperatorCode)
{
case kTfLiteBuiltinAdd:
elementwiseBinaryLayer = AddAdditionLayer(delegateData);
break;
default:
return kTfLiteError;
}
ARMNN_ASSERT(elementwiseBinaryLayer != nullptr);
armnn::IOutputSlot& outputSlot = elementwiseBinaryLayer->GetOutputSlot(0);
outputSlot.SetTensorInfo(outputTensorInfo);
auto reshapeLayer = BroadcastTensor(inputTensorInfo0,
inputTensorInfo1,
elementwiseBinaryLayer,
tfLiteContext,
tfLiteNode,
delegateData);
if (!reshapeLayer)
{
return kTfLiteError;
}
auto* tfLiteNodeParameters = reinterpret_cast<TfLiteAddParams*>(tfLiteNode->builtin_data);
if (!tfLiteNodeParameters)
{
// No Activation
return kTfLiteOk;
}
// Check activation
TfLiteFusedActivation activationType = tfLiteNodeParameters->activation;
return FusedActivation(tfLiteContext, tfLiteNode, activationType, reshapeLayer, 0, delegateData);
}
} // namespace armnnDelegate
|
