blob: 734ae18af6db6bdecb20056a582876508eded7e6 (
plain)
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
|
# The layers that ArmNN SDK Serializer currently supports.
This reference guide provides a list of layers which can be serialized currently by the Arm NN SDK.
## Fully supported
The Arm NN SDK Serializer currently supports the following layers:
* Activation
* Addition
* BatchToSpaceNd
* BatchNormalization
* Concat
* Constant
* Convolution2d
* DepthwiseConvolution2d
* Dequantize
* DetectionPostProcess
* Division
* Equal
* Floor
* FullyConnected
* Gather
* Greater
* L2Normalization
* Lstm
* Maximum
* Mean
* Merge
* Minimum
* Multiplication
* Normalization
* Pad
* Permute
* Pooling2d
* Quantize
* Reshape
* ResizeBilinear
* Rsqrt
* Softmax
* SpaceToBatchNd
* Splitter
* StridedSlice
* Subtraction
* Switch
More machine learning layers will be supported in future releases.
Note: Merger layer has been renamed Concat. Serializations of the old
format with Merger layers will deserialize to Concat layers to
maintain backward compatibility.
|
