07_sentiment_with_doc2vec + skip_gram + tf 1.4.0 = error

[David Jaccard]

I think the order of parameters probably moved around in tf. But here's what I get:

    batch_inputs, batch_labels = text_helpers.generate_batch_data(
        text_data, batch_size,
        window_size, method='skip_gram')

...errors out with...

Starting Training

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-9-69e5ea759480> in <module>()
     13 
     14     # Run the train step
---> 15     sess.run(train_step, feed_dict=feed_dict)
     16 
     17     # Return the loss

~/env/3.5/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
    887     try:
    888       result = self._run(None, fetches, feed_dict, options_ptr,
--> 889                          run_metadata_ptr)
    890       if run_metadata:
    891         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

~/env/3.5/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
   1094                 'Cannot feed value of shape %r for Tensor %r, '
   1095                 'which has shape %r'
-> 1096                 % (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
   1097           if not self.graph.is_feedable(subfeed_t):
   1098             raise ValueError('Tensor %s may not be fed.' % subfeed_t)

ValueError: Cannot feed value of shape (500,) for Tensor 'Placeholder:0', which has shape '(?, 4)'

I don't have a fix, sorry.

[Nick]

Ah yes, thanks for bringing this to my attention. I think this is a quick fix with the parameters. I'm starting a book/code v2 over the next few months. Expect this to be fixed some time soon. Thanks!

[Nick]

This should be fixed. Please repull and try again with the updated code. Let me know / reopen if you still have issues.