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Preallocate CUDA memory for pytorch

This is a code that helps preallocate memory for PyTorch, used for competing for computational resources with others.

You can use the following command directly on the command line:

python -m preallocate_cuda_memory

Or you can use in python file:

import preallocate_cuda_memory as pc

mc = pc.MemoryController(0)  # 0 is the GPU index
mc.occupy_all_available_memory()
mc.free_memory()

If you find any issues, please feel free to contact the author by raising an issue on GitHub.

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Release files for preallocate-cuda-memory 1.0.0

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Source distribution for preallocate-cuda-memory 1.0.0
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preallocate_cuda_memory-1.0.0-py3-none-any.whl Python 3 none any Details

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