Error(s) in loading state_dict for TransformerModel:

[Nimishasri]

downloaded all the models (mm-all was commented out in scripts/download-and-setup-models.sh).
Ran the test translation script as mentioned in the Readme.

Error(s) in loading state_dict for TransformerModel:
	size mismatch for encoder.embed_tokens.weight: copying a param with shape torch.Size([28168, 512]) from checkpoint, the shape in current model is torch.Size([26346, 512]).
	size mismatch for decoder.embed_out: copying a param with shape torch.Size([28160, 512]) from checkpoint, the shape in current model is torch.Size([26346, 512]).
	size mismatch for decoder.embed_tokens.weight: copying a param with shape torch.Size([28160, 512]) from checkpoint, the shape in current model is torch.Size([26346, 512]).

[jerinphilip]

This is weird, it should work. Maybe some fairseq-padding option. Try to use the more recent ones.

    "mm-all-iter0"
    "mm-all-iter1"
    "mm-to-en-iter1"

[Nimishasri]

Error on Gogle colab , invoking "mm-all-iter0"

| [src] dictionary: 40897 types
| [tgt] dictionary: 40897 types
/content/MyDrive/ColabNotebooks/ilmulti-master/ilmulti/translator/translator.py:23: UserWarning: utils.load_ensemble_for_inference is deprecated. Please use checkpoint_utils.load_model_ensemble instead.
  self.models, model_args = fairseq.utils.load_ensemble_for_inference(model_paths, self.task, model_arg_overrides=eval(args.model_overrides))
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-8-cba9eb6f9aca> in <module>()
      2 from ilmulti.translator import from_pretrained
      3 translator = from_pretrained(tag='mm-all-iter0')
----> 4 sample = translator('I am going', tgt_lang = 'hi')
      5 print(sample)

5 frames
/usr/local/lib/python3.6/dist-packages/fairseq/search.py in step(self, step, lprobs, scores)
     79             out=(self.scores_buf, self.indices_buf),
     80         )
---> 81         torch.div(self.indices_buf, vocab_size, out=self.beams_buf)
     82         self.indices_buf.fmod_(vocab_size)
     83         return self.scores_buf, self.indices_buf, self.beams_buf

RuntimeError: Integer division of tensors using div or / is no longer supported, and in a future release div will perform true division as in Python 3. Use true_divide or floor_divide (// in Python) instead.

[jerinphilip]

Check #1.
Why are you using colab? Switch the install to torch=1.0.0 at the start of the notebook, that should work. Before installing ilmulti <- fairseq-ilmt.