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Recommend Netron for TF Lite model visualization 

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Change-Id: Id794ed7b2a8405cf5821fb106e8861d8aacef22f
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Khanh LeViet 2020-06-16 13:48:29 -07:00 committed by TensorFlower Gardener
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17
tensorflow/lite/g3doc/guide/faq.md
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@ -45,30 +45,37 @@ or file a [new one](https://github.com/tensorflow/tensorflow/issues).
#### How do I determine the inputs/outputs for GraphDef protocol buffer?
The easiest way to inspect a graph from a `.pb` file is to use the
The easiest way to inspect a graph from a `.pb` file is to use
[Netron](https://github.com/lutzroeder/netron), an open-source viewer for
machine learning models.
If Netron cannot open the graph, you can try the
[summarize_graph](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/graph_transforms/README.md#inspecting-graphs)
tool.
If that approach yields an error, you can visualize the GraphDef with
If the summarize_graph tool yields an error, you can visualize the GraphDef with
[TensorBoard](https://www.tensorflow.org/guide/summaries_and_tensorboard) and
look for the inputs and outputs in the graph. To visualize a `.pb` file, use the
[`import_pb_to_tensorboard.py`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/import_pb_to_tensorboard.py)
script like below:
```sh
```shell
python import_pb_to_tensorboard.py --model_dir <model path> --log_dir <log dir path>
```
#### How do I inspect a `.tflite` file?
TensorFlow Lite models can be visualized using the
[Netron](https://github.com/lutzroeder/netron) is the easiest way to visualize a
TensorFlow Lite model.
If Netron cannot open your TensorFlow Lite model, you can try the
[visualize.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/tools/visualize.py)
script in our repository.
* [Clone the TensorFlow repository](https://www.tensorflow.org/install/source)
* Run the `visualize.py` script with bazel:
```sh
```shell
bazel run //tensorflow/lite/tools:visualize model.tflite visualized_model.html
```