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Hi, I met some difficulties about multiprocessing. When the num_processes is changed to more than 1, the assignment of tasks among the workers has something wrong. Do you have any idea about this issue?
The text was updated successfully, but these errors were encountered:
I don't think this is a good question since there are no details in it.
I'm sorry for the unclear description. The problem is that if the num_processes is set as more than 1, the training process won't stop when the trained word percent (global_word_count.value/vocab.word_count) is 100%. In normal circumstances, the training is finished when it is 100%.
@JIANAN17 I think this bug is caused by the readline() code, I think your corpus is contains only one line. For more information, please chat in my issue #9 (comment)
Hi, I met some difficulties about multiprocessing. When the num_processes is changed to more than 1, the assignment of tasks among the workers has something wrong. Do you have any idea about this issue?
The text was updated successfully, but these errors were encountered: