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Understanding Pin Memory in PyTorch for Efficient CUDA Transfers
This chapter explores the intricacies of data transfer between RAM and CUDA in PyTorch, challenging the assumption that 'pin memory' universally enhances performance. The discussion encourages users to benchmark various methods, highlighting the significance of experimentation in tensor transfers.