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
|
# TensorFlow Lite operators that the Arm NN SDK supports
This reference guide provides a list of TensorFlow Lite operators the Arm NN SDK currently supports.
## Fully supported
The Arm NN SDK TensorFlow Lite parser currently supports the following operators:
* ADD
* AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* BATCH_TO_SPACE
* CONCATENATION, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* LOGISTIC
* L2_NORMALIZATION
* MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* MAXIMUM
* MEAN
* MINIMUM
* MUL
* PACK
* PAD
* RELU
* RELU6
* RESHAPE
* RESIZE_BILINEAR
* SLICE
* SOFTMAX
* SPACE_TO_BATCH
* SPLIT
* SQUEEZE
* STRIDED_SLICE
* SUB
* TANH
* TRANSPOSE
* TRANSPOSE_CONV
* UNPACK
## Custom Operator
* TFLite_Detection_PostProcess
## Tested networks
Arm tested these operators with the following TensorFlow Lite neural network:
* [Quantized MobileNet](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224_quant.tgz)
* [Quantized SSD MobileNet](http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_quantized_300x300_coco14_sync_2018_07_18.tar.gz)
* DeepSpeech v1 converted from [TensorFlow model](https://github.com/mozilla/DeepSpeech/releases/tag/v0.4.1)
* DeepSpeaker
More machine learning operators will be supported in future releases.
|
