Issue loading pre-training model.

[PedroEstevesPT]

Hi

As mentioned in the readme I downloaded ang gunzipped the .tar.gz file, obtaining a .tar file.

mv bridge-spider-bert-large-ems-70-1-exe-68-2.tar.gz model
gunzip model/bridge-spider-bert-large-ems-70-1-exe-68-2.tar.gz
mv bridge-spider-bert-large-ems-70-1-exe-68-2.tar.gz model-best.tar

However, when performing inference, using the following line:

./experiment-bridge.sh configs/bridge/spider-bridge-bert-large.sh --inference 0 --checkpoint_path /app/TabularSemanticParsing/model/model-best.tar

I obtain this error:

Traceback (most recent call last):
File "/opt/conda/lib/python3.7/tarfile.py", line 187, in nti
n = int(s.strip() or "0", 8)
ValueError: invalid literal for int() with base 8: 'ings.tra'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/opt/conda/lib/python3.7/tarfile.py", line 2287, in next
tarinfo = self.tarinfo.fromtarfile(self)
File "/opt/conda/lib/python3.7/tarfile.py", line 1095, in fromtarfile
obj = cls.frombuf(buf, tarfile.encoding, tarfile.errors)
File "/opt/conda/lib/python3.7/tarfile.py", line 1037, in frombuf
chksum = nti(buf[148:156])
File "/opt/conda/lib/python3.7/tarfile.py", line 189, in nti
raise InvalidHeaderError("invalid header")
tarfile.InvalidHeaderError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/root/.local/lib/python3.7/site-packages/torch/serialization.py", line 595, in _load
return legacy_load(f)
File "/root/.local/lib/python3.7/site-packages/torch/serialization.py", line 506, in legacy_load
with closing(tarfile.open(fileobj=f, mode='r:', format=tarfile.PAX_FORMAT)) as tar,
File "/opt/conda/lib/python3.7/tarfile.py", line 1591, in open
return func(name, filemode, fileobj, **kwargs)
File "/opt/conda/lib/python3.7/tarfile.py", line 1621, in taropen
return cls(name, mode, fileobj, **kwargs)
File "/opt/conda/lib/python3.7/tarfile.py", line 1484, in init
self.firstmember = self.next()
File "/opt/conda/lib/python3.7/tarfile.py", line 2299, in next
raise ReadError(str(e))
tarfile.ReadError: invalid header

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/opt/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/opt/conda/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/app/TabularSemanticParsing/src/experiments.py", line 407, in
run_experiment(args)
File "/app/TabularSemanticParsing/src/experiments.py", line 394, in run_experiment
inference(sp)
File "/app/TabularSemanticParsing/src/experiments.py", line 104, in inference
sp.load_checkpoint(get_checkpoint_path(args))
File "/app/TabularSemanticParsing/src/common/learn_framework.py", line 423, in load_checkpoint
checkpoint = torch.load(input_file)
File "/root/.local/lib/python3.7/site-packages/torch/serialization.py", line 426, in load
return _load(f, map_location, pickle_module, **pickle_load_args)
File "/root/.local/lib/python3.7/site-packages/torch/serialization.py", line 599, in _load
raise RuntimeError("{} is a zip archive (did you mean to use torch.jit.load()?)".format(f.name))
RuntimeError: /app/TabularSemanticParsing/model/model-best.tar is a zip archive (did you mean to use torch.jit.load()?)

Does anyone have a clue of what might be going on ?