CODEWITHSUNDEEP
pythontensorflowtensorflow.jstensorflowjs-converter
Văn Long
Văn Long

Reputation: 31

Unrecognized arguments in tensorflowjs converter

I am using tf_saved_model to save the model

saver = tf.train.Saver()
saver.restore(session, checkpoint)

following tutorial. But something wrong when I tried to convert model to tensorflowjs model

with tensorflow version 

tensorflowjs_converter -v

tensorflowjs 1.1.2

Dependency versions:
  keras 2.2.4-tf
  tensorflow 2.0.0-dev20190606

and related things
tensorflow                       1.13.1              
tensorflow-estimator             1.13.0              
tensorflow-estimator-2.0-preview 1.14.0.dev2019060600
tensorflow-hub                   0.3.0               
tensorflowjs                     1.1.2

I tried

tensorflowjs_converter \
     --input_format=tf_saved_model \
     --output_node_names='embedding, contextual-lstm, attention-lstm, projection' \
     --saved_model_tags=serve \
     /model \
     /web_model

result: TensorFlow.js model converters.: error: unrecognized arguments: /model /web_model

And another question, what argument output_node_names really mean?

Upvotes: 1

Views: 1891

Answers (1)

Daniel
Daniel

Reputation: 66

You forgot the ./, you should change /model to ./model

Upvotes: 1

Related Questions