cuda_empty_cache: Empty cache
In torch: Tensors and Neural Networks with 'GPU' Acceleration
cuda_empty_cache R Documentation
Empty cache
Description
Releases all unoccupied cached memory currently held by the caching allocator
so that those can be used in other GPU application and visible in nvidia-smi.
Usage
cuda_empty_cache()
Note
cuda_empty_cache() doesn’t increase the amount of GPU memory available
for torch. However, it may help reduce fragmentation of GPU memory in certain
cases. See Memory management article for more details about GPU memory management.
torch documentation built on May 29, 2024, 9:54 a.m.
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| cuda_empty_cache | R Documentation |
Empty cache
Description
Releases all unoccupied cached memory currently held by the caching allocator
so that those can be used in other GPU application and visible in nvidia-smi.
Usage
cuda_empty_cache()
Note
cuda_empty_cache() doesn’t increase the amount of GPU memory available
for torch. However, it may help reduce fragmentation of GPU memory in certain
cases. See Memory management article for more details about GPU memory management.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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