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
|
//
// Copyright © 2021 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 ValidatePreluOperator(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
const armnn::TensorInfo& inputInfo,
const armnn::TensorInfo& alphaInfo,
const armnn::TensorInfo& outputInfo)
{
bool isSupported = false;
auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported)
{
FORWARD_LAYER_SUPPORT_FUNC("PRELU",
tfLiteContext,
IsPreluSupported,
delegateData.m_Backends,
isSupported,
inputInfo,
alphaInfo,
outputInfo);
};
validateFunc(outputInfo, isSupported);
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteStatus VisitPreluOperator(DelegateData& delegateData,
TfLiteContext* tfLiteContext,
TfLiteNode* tfLiteNode,
int nodeIndex,
int32_t operatorCode)
{
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& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
{
return kTfLiteError;
}
const TfLiteTensor& tfLiteAlphaTensor = tfLiteTensors[tfLiteNode->inputs->data[1]];
if (!IsValid(tfLiteContext, tfLiteAlphaTensor, operatorCode, nodeIndex))
{
return kTfLiteError;
}
const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
{
return kTfLiteError;
}
const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
const armnn::TensorInfo& alphaTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteAlphaTensor);
const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
if (!delegateData.m_Network)
{
return ValidatePreluOperator(delegateData,
tfLiteContext,
inputTensorInfo,
alphaTensorInfo,
outputTensorInfo);
}
armnn::IConnectableLayer* preluLayer = delegateData.m_Network->AddPreluLayer();
ARMNN_ASSERT(preluLayer != nullptr);
bool isConstantAlpha = tflite::IsConstantTensor(&tfLiteAlphaTensor);
// Add constant layer for constant alpha
if (isConstantAlpha)
{
auto constAlphaTensor = armnn::ConstTensor(alphaTensorInfo, tfLiteAlphaTensor.data.data);
armnn::IConnectableLayer* constLayer = delegateData.m_Network->AddConstantLayer(constAlphaTensor);
ARMNN_ASSERT(constLayer != nullptr);
constLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo);
constLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1));
}
armnn::IOutputSlot& outputSlot = preluLayer->GetOutputSlot(0);
outputSlot.SetTensorInfo(outputTensorInfo);
// Connect
return Connect(preluLayer, tfLiteNode, delegateData);
}
} // namespace armnnDelegate
|
