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Adds clarity on supported formats for TFLiteConverter 2.0.

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Nupur Garg 2019-03-13 15:36:43 -07:00 committed by TensorFlower Gardener
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tensorflow/lite/g3doc/r2/convert/python_api.md
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@ -150,7 +150,20 @@ output_data = interpreter.get_tensor(output_details[0]['index'])
print(output_data) print(output_data)
``` ```
## Summary of changes in TFLiteConverter in 1.X and 2.0 <a name="differences"></a> ## Summary of changes in `TFLiteConverter` between 1.X and 2.0 <a name="differences"></a>
The following section summarizes the changes in `TFLiteConverter` from 1.X to
2.0. If any of the changes raise concerns, please file a
[GitHub issue](https://github.com/tensorflow/tensorflow/issues).
### Supported formats
`TFLiteConverter` in 2.0 supports SavedModels and Keras model files generated in
both 1.X and 2.0. However, the conversion process no longer supports frozen
`GraphDefs` generated in 1.X. Users who want to convert frozen `GraphDefs` to
TensorFlow Lite should use `tensorflow.compat.v1`.
### Quantization-aware training
The following attributes and methods associated with The following attributes and methods associated with
[quantization-aware training](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/quantize) [quantization-aware training](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/quantize)
@ -173,6 +186,8 @@ removed in the 2.0 API until the new quantization API is launched. Users who
want to convert models generated by the rewriter function can use want to convert models generated by the rewriter function can use
`tensorflow.compat.v1`. `tensorflow.compat.v1`.
### Changes to attributes
The `target_ops` attribute has become an attribute of `TargetSpec` and renamed The `target_ops` attribute has become an attribute of `TargetSpec` and renamed
to `supported_ops` in line with future additions to the optimization framework. to `supported_ops` in line with future additions to the optimization framework.
@ -190,15 +205,14 @@ Additionally, the following attributes have been removed:
* `dump_graphviz_dir` * `dump_graphviz_dir`
* `dump_graphviz_video` * `dump_graphviz_video`
### Deprecated APIs
The following methods that were previously deprecated in 1.X will no longer be The following methods that were previously deprecated in 1.X will no longer be
exported in 2.0: exported in 2.0:
* `lite.toco_convert` * `lite.toco_convert`
* `lite.TocoConverter` * `lite.TocoConverter`
If any of the changes raise concerns, please file a
[GitHub issue](https://github.com/tensorflow/tensorflow/issues).
## Installing TensorFlow <a name="versioning"></a> ## Installing TensorFlow <a name="versioning"></a>
### Installing the TensorFlow 2.0 nightly <a name="2.0-nightly"></a> ### Installing the TensorFlow 2.0 nightly <a name="2.0-nightly"></a>