How can I set max_split_size_mb to avoid fragmentation in Pytorch?

PyTorch, a popular deep learning framework, has revolutionized the field of artificial intelligence by providing a flexible and efficient platform for developing cutting-edge models. However, memory management becomes a critical concern as models become increasingly complex and datasets grow. One specific challenge is memory fragmentation, which can significantly impact PyTorch’s performance and limit its ability to handle larger models and datasets.

Memory fragmentation occurs when memory is allocated and deallocated in a way that leaves small, unusable gaps between …

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