riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-31 02:02:21 +06:00
Code Issues Actions 23 Packages Projects Releases Wiki Activity

[docs] add explanation to release_memory() (#34911)

Browse Source 
* explain release_memory

* Update docs/source/en/llm_tutorial_optimization.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
This commit is contained in:
Fanli Lin 2024-11-27 23:47:28 +08:00 committed by GitHub
parent 0600f46353
commit 637225508f
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
docs/source/en/llm_tutorial_optimization.md
View File

@ -147,7 +147,7 @@ Let's call it now for the next experiment.
```python
flush()
```
In the recent version of the accelerate library, you can also use a utility method called `release_memory()`
From the Accelerate library, you can also use a device-agnostic utility method called [release_memory](https://github.com/huggingface/accelerate/blob/29be4788629b772a3b722076e433b5b3b5c85da3/src/accelerate/utils/memory.py#L63), which takes various hardware backends like XPU, MLU, NPU, MPS, and more into account.
```python
from accelerate.utils import release_memory