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I am trying to convert TensorFlow saved model to tfjs webmodel, but it gives a ValueError.

The code I used can be found here.

I have pretrained models in mobilenet/saved_model, .ckpt, .meta, .index, and checkpoint files.

tensorflowjs_converter     --input_format=tf_saved_model  --output_format=tfjs_layers_model   --signature_name=serving_default     --saved_model_tags=serve mobilenet/saved_model/ mobilenet/web_model/
Traceback (most recent call last):
  File "/home/shiva/.local/bin/tensorflowjs_converter", line 11, in <module>
    sys.exit(main())
  File "/home/shiva/.local/lib/python2.7/site-packages/tensorflowjs/converters/converter.py", line 373, in main
    (input_format, output_format))
ValueError: Unsupported input_format - output_format pair: tf_saved_model - tfjs_layers_model
double-beep
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shiva
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  • I think it is not support according to [**Format Conversion Support Tables**](https://github.com/tensorflow/tfjs-converter) It supports conversion from _tf_saved_model_ to _tfjs_graph_model_ – 季谢尔 May 12 '19 at 04:58

0 Answers0