preallocate CUDA memory for pytorch
Project description
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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