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Fix typo.

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PiperOrigin-RevId: 238456026
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Shashi Shekhar 2019-03-14 09:19:15 -07:00 committed by TensorFlower Gardener
parent 872b9bd9fc
commit 61ebe6e8f6
1 changed files with 2 additions and 2 deletions
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tensorflow/lite/experimental/examples/lstm/g3doc/README.md
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@ -101,7 +101,7 @@ tflite_model = converter.convert() # You got a tflite model!
## Why introduce another set of LSTM APIs?
Bridging TensorFlow LSTM and TensorFlow Lite is not easy, and the use of
`dynamic_rnn` adds addtional complexity (as the while loop is introduced).
`dynamic_rnn` adds additional complexity (as the while loop is introduced).
With the help of
[OpHint](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/python/op_hint.py)
(also see the next section), we create special wrappers around `rnn_cell` and
@ -373,7 +373,7 @@ See below.
`tf.lite.experimental.nn.bidirectional_dynamic_rnn` only supports
`control_flow_v2`, you can this on by setting the environment variable
`TF_ENABLE_CONTROL_FLOW_V2=1`, see in the tutorial.
* Currently, `sequence_length` is not supported, perfer to set it to None.
* Currently, `sequence_length` is not supported, prefer to set it to None.
* `num_unit_shards` & `num_proj_shards` in LSTMCell are not supported as
well.
* Currently, `tf.lite.experimental.nn.dynamic_rnn` &