help with tfjs converter for saved model - weights not saved and weights_manifest.json only has the output node

[Dan Oved]

I'm struggling to figure out how to properly save a tensorflow model that was saved as a saved_model method and convert it to tensorflow.js.  It would be great if there was an end to end tutorial that shows how to do this.

Anyways, the model I want to convert is from this jupyter notebook "RNN for Human Activity Recognition - 2D Pose Input":

https://github.com/stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input#rnn-for-human-activity-recognition---2d-pose-input

The full code for building and training the graph can be found in that jupyter notebook.

I can successfully run the code:

save_path = "/content/gdrive/My Drive/saved_model/"

tf.saved_model.simple_save(sess,
  save_path,
  inputs={"x":x},
  outputs={"y": y})

From looking at the graph building code I'm not entirely sure what the output_node_names should be in the tensorflowjs_converter command, because when I put in y I get an error that the node does not exist. I printed out all the graph nodes and am guessing it's mul_1/y , as this is what's in the graph building code:

def LSTM_RNN(_X, _weights, _biases):
    # model architecture based on "guillaume-chevalier" and "aymericdamien" under the MIT license.

    _X = tf.transpose(_X, [1, 0, 2])  # permute n_steps and batch_size
    # rest of graph building code left out for this post
    # Linear activation
    return tf.matmul(lstm_last_output, _weights['out']) + _biases['out']

When I run the command:

!tensorflowjs_converter \

    --input_format=tf_saved_model \

    --output_node_names="mul_1/y" \

    --saved_model_tags=serve \

    /content/gdrive/My\ Drive/saved_model/ \

    /content/gdrive/My\ Drive/web_model/

It succeeds with this message:

Using TensorFlow backend.

2019-02-23 01:46:53.475557: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

Writing weight file /content/gdrive/My Drive/web_model/tensorflowjs_model.pb...

However, the tensorflowjs_model.pb file is only 50 bytes, and all that's contained within weights_manifest.json is:

[{"paths": ["group1-shard1of1"], "weights": [{"name": "mul_1/y", "shape": [], "dtype": "int32"}]}]

What am I doing wrong?

[Edoh Kodjo]

You can ask the question on stackoverflow.com

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[Dan Oved]

Thank you - I didn't realize that's the venue for these support questions. I've posted it here:

https://stackoverflow.com/questions/54839007/issue-with-tfjs-converter-for-a-saved-model-weights-not-saved-and-weights-mani