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# Tutorial
Let's compile Inception_v3 model and make a nnpackage!
## Prepare inception_v3 files
1. Download pre-trained `inception_v3.pb` model file.
```sh
$ wget https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/inception_v3_2018_04_27.tgz
$ tar -xvf inception_v3_2018_04_27.tgz
```
1. Create model information file as `inception_v3.info`.
```
$ cat > inception_v3.info << "END"
input, input:0, TF_FLOAT, [1, 299, 299, 3]
output, InceptionV3/Predictions/Reshape_1:0, TF_FLOAT, [1, 1001]
END
```
## Let's compile inception_v3
1. Generate `nnpkg`. In this tutorial, let's generate to current directory.
```sh
tf2nnpkg --use-tf2circle \
--graphdef inception_v3.pb \
--info inception_v3.info \
-o .
```
## Check whether compilation is well done
- Check if all files are generated correctly.
```
inception_v3
├ inception_v3.circle
└ metadata
└ MANIFEST
```
- Check if `MANIFEST` contents are correct.
```sh
$ cat inception_v3/metadata/MANIFEST
{
"major-version" : "1",
"minor-version" : "0",
"patch-version" : "0",
"models" : [ "inception_v3.circle" ],
"model-types" : [ "circle" ]
}
```
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