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#PYTHON JUPYTER NOTEBOOK BROKEN PIPE ERRNO 32 HTML HOW TO#
#PYTHON JUPYTER NOTEBOOK BROKEN PIPE ERRNO 32 HTML CODE#

You could catch the broken pipe? This writes the file to stdout line by line until the pipe is closed. I haven't reproduced the issue, but perhaps this method would solve it: (writing line by line to stdout rather than using print) import sys Using the signal module allows just that, as stated in akhan's answer signal.signal() takes a signal to handle as the 1st argument and a handler as the 2nd special handler value SIG_DFL represents the system's default behavior: from signal import signal, SIGPIPE, SIG_DFL In many cases this is more disruptive than helpful, so reverting to the default behavior is desirable:

#PYTHON JUPYTER NOTEBOOK BROKEN PIPE ERRNO 32 HTML CODE#

If a Python script does not catch it, Python outputs error message IOError: Broken pipe and terminates the script with exit code 1 - this is the symptom the OP saw.

#PYTHON JUPYTER NOTEBOOK BROKEN PIPE ERRNO 32 HTML HOW TO#

This is not necessarily an error condition some Unix utilities such as head by design stop reading prematurely from a pipe, once they've received enough data.īy default - i.e., if the writing process does not explicitly trap SIGPIPE - the writing process is simply terminated, and its exit code is set to 141, which is calculated as 128 (to signal termination by signal in general) + 13 ( SIGPIPE's specific signal number).īy design, however, Python itself traps SIGPIPE and translates it into a Python IOError instance with errno value errno.EPIPE, so that a Python script can catch it, if it so chooses - see Alex L.'s answer for how to do that.

Standard Unix signal SIGPIPE is sent to a process writing to a pipe when there's no process reading from the pipe (anymore). To bring Alex L.'s helpful answer, akhan's helpful answer, and Blckknght's helpful answer together with some additional information: See here for background on this solution. You can solve this problem using the following code: from signal import signal, SIGPIPE, SIG_DFL Import torchvision.The problem is due to SIGPIPE handling. In short, the the idea here would be to wrap the example code inside an if _name_ = '_main_' statement as follows: # Deep Learning with PyTorch: A 60 Minute Blitz » Training a classifier Could you give me any advise to help me run cifar10tutorial.py successfully By the way, other examples in Deep Learning with PyTorch: A 60 Minute Blitz have been run suceessfully. Make sure that the main module can be safely imported by a new Python interpreter without causing unintended side effects (such a starting a new process). While Python 3 documentation shares similar guidelines (see here), the Python 2 is more explicit with Windows:

This subject is touched upon in Python 2 documentation for multiprocessing: Programming Guidelines, Windows.

However, the real way around this problem lies in re-factoring your code to comply to Python’s Windows-specific multiprocessing guidelines as discussed here in this StackOverflow thread. Return _default_context.get_context().Process._Popen(process_obj)įile “D:\Anaconda\Anaconda3\lib\multiprocessing\context.p y”, line 322, in _Popenįile “D:\Anaconda\Anaconda3\lib\multiprocessing\popen_spawn_win32.p y”, line 65, in initįile “D:\Anaconda\Anaconda3\lib\multiprocessing\reduction.p y”, line 60, in dumpĬould you give me any advise to help me run “cifar10_tutorial.py” successfully? By the way, other examples in “Deep Learning with PyTorch: A 60 Minute Blitz” have been run suceessfully. Runfile(‘D:/PyTorch/Code/LearnPyTorch/cifar10_tutorial.py’, wdir=‘D:/PyTorch/Code/LearnPyTorch’)įile “D:\Anaconda\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.p y”, line 880, in runfileįile “D:\Anaconda\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.p y”, line 102, in execfileĮxec(compile(f.read(), filename, ‘exec’), namespace)įile “D:/PyTorch/Code/LearnPyTorch/cifar10_tutorial.py”, line 99, inįile “D:\Anaconda\Anaconda3\lib\site-packages\torch\utils\data\dataloader.p y”, line 303, in iterįile “D:\Anaconda\Anaconda3\lib\site-packages\torch\utils\data\dataloader.p y”, line 162, in initįile “D:\Anaconda\Anaconda3\lib\multiprocessing\process.p y”, line 105, in startįile “D:\Anaconda\Anaconda3\lib\multiprocessing\context.p y”, line 223, in _Popen When I run this file in Spyder on Windows10, it reports"BrokenPipeError: Broken pipe”, the details information are as follows: