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Unverified Commit a402431d authored by Sayak Paul's avatar Sayak Paul Committed by GitHub
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[docs] remove duplicate tip block. (#7625) 

remove duplicate tip block.
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docs/source/en/training/distributed_inference.md
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...@@ -66,7 +66,7 @@ For example, if you have two 8GB GPUs, then using [`~DiffusionPipeline.enable_mo ...@@ -66,7 +66,7 @@ For example, if you have two 8GB GPUs, then using [`~DiffusionPipeline.enable_mo
To make use of both GPUs, you can use the "balanced" device placement strategy which splits the models across all available GPUs. To make use of both GPUs, you can use the "balanced" device placement strategy which splits the models across all available GPUs.
> [!TIP] > [!WARNING]
> Only the "balanced" strategy is supported at the moment, and we plan to support additional mapping strategies in the future. > Only the "balanced" strategy is supported at the moment, and we plan to support additional mapping strategies in the future.
```diff ```diff
...@@ -81,9 +81,6 @@ image = pipeline("a dog").images[0] ...@@ -81,9 +81,6 @@ image = pipeline("a dog").images[0]
image image
``` ```
> [!WARNING]
> Currently, we support only "balanced" `device_map`. We plan to support more device mapping strategies in future.
You can also pass a dictionary to enforce the maximum GPU memory that can be used on each device: You can also pass a dictionary to enforce the maximum GPU memory that can be used on each device:
```diff ```diff
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