# Can't use multi GPU in evaluation from Trainer

**URL:** <https://discuss.huggingface.co/t/cant-use-multi-gpu-in-evaluation-from-trainer/54692>\
**Category:** 🤗Transformers\
**Created:** [September 12, 2023, 4:14pm UTC](https://discuss.huggingface.co/t/cant-use-multi-gpu-in-evaluation-from-trainer/54692 "2023-09-12T16:14:50Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![betty12](https://avatars.discourse-cdn.com/v4/letter/b/ea666f/32.png) [@betty12](https://discuss.huggingface.co/u/betty12)\
**Post date:** [September 12, 2023, 4:14pm UTC](https://discuss.huggingface.co/t/cant-use-multi-gpu-in-evaluation-from-trainer/54692/1 "2023-09-12T16:14:50Z")

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Why is it that when I use Trainer, multiple GPUs are used for training, but only one GPU is used for evaluation? When I compared the GPU usage for training and evaluation, I found that: only the memory of GPU-0 is increased, and only its GPU-util is not 0.  
This causes `per_device_eval_batch_size` to be only 1 or it goes OOM. And causing the evaluation to be slow.

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**Author:** ![zuzannad1](https://avatars.discourse-cdn.com/v4/letter/z/dc4da7/32.png) [@zuzannad1](https://discuss.huggingface.co/u/zuzannad1)\
**Post date:** [September 14, 2023, 9:35am UTC](https://discuss.huggingface.co/t/cant-use-multi-gpu-in-evaluation-from-trainer/54692/2 "2023-09-14T09:35:46Z")

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Have the same exact issue. Have you come to any conclusions / managed to proceed?

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**Author:** ![betty12](https://avatars.discourse-cdn.com/v4/letter/b/ea666f/32.png) [@betty12](https://discuss.huggingface.co/u/betty12)\
**Post date:** [September 18, 2023, 7:22am UTC](https://discuss.huggingface.co/t/cant-use-multi-gpu-in-evaluation-from-trainer/54692/3 "2023-09-18T07:22:21Z")

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Not yet 😭

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**Author:** ![capnchat](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/capnchat/32/31430_2.png) [@capnchat](https://discuss.huggingface.co/u/capnchat)\
**Post date:** [December 6, 2023, 5:16pm UTC](https://discuss.huggingface.co/t/cant-use-multi-gpu-in-evaluation-from-trainer/54692/4 "2023-12-06T17:16:49Z")

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Any update on this? I am getting OOM for the same thing, only cuda:0 is being used…

I have heard about DataParallel or DistributedDataParallel, but this appears to require pretty extensive refactoring of my training script…