export pytorch cuda alloc conf max split size mb 256

It seems there might be a confusion in the environment variable you provided, as pytorch_cuda_alloc_conf= max_split_size_mb=256 doesn't appear to be a valid environment variable. However, I can provide you with a tutorial on setting environment variables in PyTorch, and you can adjust it according to your specific needs.
Environment variables are parameters that can be set outside of a program and are used to modify its behavior. In PyTorch, you can use environment variables to control various settings related to GPU usage, memory allocation, and other configuration options.
Before setting any environment variables, it's useful to check the current CUDA configuration to understand the available options.
Now, let's set an environment variable. Replace "CUDA_VISIBLE_DEVICES" and "0" with the variable and value you want to set.
Check if the environment variable has been set successfully:
Here's an example of setting an environment variable related to CUDA memory allocation. Again, replace "CUDA_LAUNCH_BLOCKING" and "1" with the desired variable and value.
Keep in mind that the environment variable you provided, pytorch_cuda_alloc_conf= max_split_size_mb=256, doesn't seem to be a valid PyTorch environment variable. If you have a specific requirement, please provide more details, and I can guide you accordingly.
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