Art dataset contains 137 images.
Traceback (most recent call last):
File "main.py", line 149, in <module>
tf.app.run()
File "E:\Anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 132, in main
model.train(args, ckpt_nmbr=args.ckpt_nmbr)
File "E:\model.py", line 271, in train
p.start()
File "E:\Anaconda\envs\tensorflow\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "E:\Anaconda\envs\tensorflow\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "E:\Anaconda\envs\tensorflow\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "E:\Anaconda\envs\tensorflow\lib\multiprocessing\popen_spawn_win32.py", line 66, in __init__
reduction.dump(process_obj, to_child)
File "E:\Anaconda\envs\tensorflow\lib\multiprocessing\reduction.py", line 59, in dump
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
BTW: I am using the smaller image collection with 256 pixel images.
Yet the cursor keeps blinking but the CPU is not being used according to the Task-Manager. Will it continue later, does it need code fixing?