Generating trainable/predictable data

[ghost]

Hello,

I was following the steps in the tutorial for generating trainable/predictable data of the DeepHiC :

python data_generate.py -hr 10kb -lr 40kb -s train -chunk 40 -stride 40 -bound 201 -scale 1 -c /home/DeepHiC-master/raw/GM12878 -lrc 100

I received the following error :

Traceback (most recent call last):
File "data_generate.py", line 75, in
data = np.concatenate([r.get()[1] for r in results])
File "data_generate.py", line 75, in
data = np.concatenate([r.get()[1] for r in results])
File "/miniconda3/envs/deephic/lib/python3.6/multiprocessing/pool.py", line 644, in get
raise self._value
RuntimeError: non-empty 3D or 4D (batch mode) tensor expected for input

[omegahh]

Sorry for the delay. It seems like something wrong with your input data? I am not sure. It would be better if you could offer me the data (or part of them). I will try to run it by myself and help finding the solution.

[omegahh]

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