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Maybe this is an issue with my implementation, tflearn or tensorflow, I guess I am not sure. The code hangs when I call model.predict() in multiple processes, but I know the exact same code works when evaluated in a single process. See my reproduction steps here.
I know I have seen lots of issues with tensorflow hanging when trying to predict within multiple processes, so I am not sure if this is a tflearn issue or a tensorflow issue.
The text was updated successfully, but these errors were encountered:
Can confirm that this is a significant issue that's existed for literally as long as Tensorflow has - I don't understand how this still hasn't been fixed yet.
There seems to be no way to multiprocess inference in Tensorflow. (At least as far as I have found.)
Maybe this is an issue with my implementation, tflearn or tensorflow, I guess I am not sure. The code hangs when I call
model.predict()
in multiple processes, but I know the exact same code works when evaluated in a single process. See my reproduction steps here.I know I have seen lots of issues with tensorflow hanging when trying to predict within multiple processes, so I am not sure if this is a tflearn issue or a tensorflow issue.
The text was updated successfully, but these errors were encountered: