Comments (5)
@GuYunxian yes, it's more of a code dump than a supported project, although it used to work. Could you share the full traceback?
from kaggle-dstl.
Traceback (most recent call last):
File "./train.py", line 704, in
main()
File "./train.py", line 699, in main
model_path=args.model_path
File "./train.py", line 172, in train
no_mp=no_mp)
File "./train.py", line 308, in train_on_images
self._train_on_feeds(gen_batch, n_batches, no_mp=no_mp)
File "./train.py", line 342, in train_on_feeds
for i, (x, y, dist_y) in enumerate(map(gen_batch, range(n_batches))):
File "/home/huster/fancy/Dstl/kaggle-dstl-master/utils.py", line 282, in imap_fixed_output_buffer
yield future.result()
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 405, in result
return self.__get_result()
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 357, in __get_result
raise self._exception
File "/usr/lib/python3.5/concurrent/futures/thread.py", line 55, in run
result = self.fn(*self.args, **self.kwargs)
File "./train.py", line 306, in gen_batch
torch.from_numpy(np.array(dist_outputs)))
RuntimeError: the given numpy array has zero-sized dimensions. Zero-sized dimensions are not supported in PyTorch
I want to run down the results and try it. I wonder if you have an executable program.
from kaggle-dstl.
No, I don't have anything more executable. This likely result of missing input data, but I'm not 100% sure - sorry, I didn't put many checks in the code.
from kaggle-dstl.
This error is due to an empty set of parameters.
The parameter dist_output has no input, but you didn't specify how the parameters were set, I am using the default valuesใ
from kaggle-dstl.
Hi, I have the same problem. Do you solve this problem?
from kaggle-dstl.
Related Issues (10)
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from kaggle-dstl.