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The program works with the provied MNIST data, but failed when trained with other data, printing the following message:
INFO:main:Training on 20 images...
Traceback (most recent call last):
File "science_rcn/run.py", line 230, in
parallel=options.parallel)
File "science_rcn/run.py", line 83, in run_experiment
train_results = pool.map_async(train_partial, [d[0] for d in train_data]).get(9999999)
File "D:\Anaconda\envs\py27\lib\multiprocessing\pool.py", line 572, in get
raise self._value
IndexError: too many indices for array
Does anyone has any idea how to solve this?
The text was updated successfully, but these errors were encountered:
The program works with the provied MNIST data, but failed when trained with other data, printing the following message:
INFO:main:Training on 20 images...
Traceback (most recent call last):
File "science_rcn/run.py", line 230, in
parallel=options.parallel)
File "science_rcn/run.py", line 83, in run_experiment
train_results = pool.map_async(train_partial, [d[0] for d in train_data]).get(9999999)
File "D:\Anaconda\envs\py27\lib\multiprocessing\pool.py", line 572, in get
raise self._value
IndexError: too many indices for array
Does anyone has any idea how to solve this?
The text was updated successfully, but these errors were encountered: