[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
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AttributeError: module 'torch._C' has no attribute '_get_privateuse1_backend_name' #114
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abhisheksushil2003 opened 10 months ago
When running the code for pretraining on kinetics data set, without distributing it across multiple nodes. I am getting the following error.
AttributeError: module 'torch._C' has no attribute '_get_privateuse1_backend_name'
from this line in the dataloader.py file.
elif self._pin_memory_device == torch._C._get_privateuse1_backend_name():