PyTorch - RuntimeError: [enforce fail at inline_container.cc:209] . file not found: archive/data.pkl
Problem
I'm trying to load a file using PyTorch, but the error states archive/data.pkl does not exist.
Code
import torch
cachefile = 'cacheddata.pth'
torch.load(cachefile)

Output
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
&lt;ipython-input-4-8edf1f27a4bd&gt; in &lt;module&gt;
      1 import torch
      2 cachefile = 'cacheddata.pth'
----&gt; 3 torch.load(cachefile)

~/opt/anaconda3/envs/matching/lib/python3.8/site-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)
    582                     opened_file.seek(orig_position)
    583                     return torch.jit.load(opened_file)
--&gt; 584                 return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
    585         return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
    586 

~/opt/anaconda3/envs/matching/lib/python3.8/site-packages/torch/serialization.py in _load(zip_file, map_location, pickle_module, **pickle_load_args)
    837 
    838     # Load the data (which may in turn use `persistent_load` to load tensors)
--&gt; 839     data_file = io.BytesIO(zip_file.get_record('data.pkl'))
    840     unpickler = pickle_module.Unpickler(data_file, **pickle_load_args)
    841     unpickler.persistent_load = persistent_load

RuntimeError: [enforce fail at inline_container.cc:209] . file not found: archive/data.pkl

Hypothesis
I'm guessing this has something to do with pickle, from the docs:

This save/load process uses the most intuitive syntax and involves the
least amount of code. Saving a model in this way will save the entire
module using Python’s pickle module. The disadvantage of this approach
is that the serialized data is bound to the specific classes and the
exact directory structure used when the model is saved. The reason for
this is because pickle does not save the model class itself. Rather,
it saves a path to the file containing the class, which is used during
load time. Because of this, your code can break in various ways when
used in other projects or after refactors.

Versions

PyTorch version: 1.6.0
Python version: 3.8.0


Turned out the file was somehow corrupted. After generating it again it loaded without issue.
