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我自己在进行blip_pretrain的时候,模型会经常在几百个step之后报告assert self.queue_size % batch_size == 0 # for simplicity错误,我想知道哪种情况可能会触发这种错误。我使用的是distributeddataparallel,在4个gpu上4进程训练
When I am doing blip_pretrain myself, the model will often report
“ assert self.queue_size % batch_size == 0 # for simplicity ”error after a few hundred steps,
I want to know which situation may trigger this error.
I am using distributeddataparallel with 4 process training on 4 gpus
The text was updated successfully, but these errors were encountered:
我自己在进行blip_pretrain的时候,模型会经常在几百个step之后报告assert self.queue_size % batch_size == 0 # for simplicity错误,我想知道哪种情况可能会触发这种错误。我使用的是distributeddataparallel,在4个gpu上4进程训练
When I am doing blip_pretrain myself, the model will often report
“ assert self.queue_size % batch_size == 0 # for simplicity ”error after a few hundred steps,
I want to know which situation may trigger this error.
I am using distributeddataparallel with 4 process training on 4 gpus
The text was updated successfully, but these errors were encountered: