blob: faf66fbde706cd94f289f4ef3db45177c6fbc1ce (
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
52
53
54
55
56
57
58
59
60
61
|
# pb2nnpkgtc
`pb2nnpkgtc` is a tool to select a subgraph of pb model and convert to `nnpackage` with golden data and generated pb.
It takes `pb` as input and generates `nnpackage`.
## prerequisite
Install tensorflow >= 1.12. It is tested with tensorflow 1.13, 1.14 and 2.0.
Install node. (Any version will do. I recommend you to use `nvm`.)
Set environmet variables from usage below.
## usage
```
$ ./pb2nnpkgtc.sh -h
Usage: pb2nnpkgtc.sh [options] pb inputs outputs
Convert pb to nnpkg-tc
Returns
0 success
non-zero failure
Options:
-h show this help
-o set output directory (default=.)
Environment variables:
flatc path to flatc
(default=./build/externals/FLATBUFFERS/build/flatc)
tflite_schema path to tflite schema (i.e. schema.fbs)
circle_schema path to tflite schema (i.e. schema.fbs)
```
## example
```
# @ host
$ tools/nnpackage_tool/sth2nnpkgtc/pb2nnpkgtc.sh test_model.pb img_placeholder conv2d_transpose
# then, nnpkg is generated in {basename}.{outputname}
# it contains all of pb, tflite, circle, and golden data.
$ tree test_model.conv2d_transpose
test_model.conv2d_transpose
├── test_model.conv2d_transpose.circle
├── test_model.conv2d_transpose.pb
├── test_model.conv2d_transpose.tflite
└── metadata
├── MANIFEST
└── tc
├── expected.h5
└── input.h5
# @ target
$ OP_BACKEND_ALLOPS=cpu \
onert/test/onert-test nnpkg-test test_model.conv2d_transpose
[ Run ] ./test_model.out Pass
[Compare] ./test_model.out Pass
```
|
