Converting text file to .t7 file
See original GitHub issueWhile trying to run a code which uses torchfile I encountered the following error :-
T7ReaderException Traceback (most recent call last)
<ipython-input-11-89caedbea733> in <module>()
5 else :
6 cap_path = "Data/flowers/example_captions"
----> 7 t_file = torchfile.load(cap_path)
8 #torch.save(cap_path,'ascii')# ///// 'output.t7',
9 captions_list = t_file.raw_txt
~/anaconda3/envs/tensorflow/lib/python3.6/site-packages/torchfile.py in load(filename, **kwargs)
422 with open(filename, 'rb') as f:
423 reader = T7Reader(f, **kwargs)
--> 424 return reader.read_obj()
~/anaconda3/envs/tensorflow/lib/python3.6/site-packages/torchfile.py in read_obj(self)
412 else:
413 raise T7ReaderException(
--> 414 "unknown object type / typeidx: {}".format(typeidx))
415
416
T7ReaderException: unknown object type / typeidx: 1936287828
I gather that .t7 is not a file format but just an extension , is that true ? I tried renaming the file under consideration with the extension .t7 , but things didn’t workout so I want to know how to convert a text file to .t7 file ?
Issue Analytics
- State:
- Created 6 years ago
- Comments:8 (2 by maintainers)
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Top GitHub Comments
I Apologize for replying so late But there is issue with torch code used in the project I did the project using skip-thought encoding model
On Thu, 22 Nov, 2018, 12:11 PM AnwarUllahKhan <notifications@github.com wrote:
@Chinmay4400 , refer - https://github.com/Shubham-kale/Project I used the skip-thoughts pre-trained model, and its been a long time I don’t really remember the details.