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how to process backend on multi-gpus?
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## 🐛 Bug
When I run the semisupervised translation task with muliti-gpu, hangs and runs the following error: RuntimeError: arguments are located on different GPUs. And BacktranslationDataset does…
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I see that there is some code supporting multi-GPUs, eg [here](https://github.com/facebookresearch/FiD/blob/master/src/slurm.py#L44) and [here](https://github.com/facebookresearch/FiD/blob/master/trai…
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I run the code twice, and got the same error. Please check the following:
**This is the first time:**
iter 44400 (epoch 30), avg_reward = -0.346, time/batch = 1.242
Traceback (most recent call …
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## 🐛 Bug
When training a model on multiple-GPUs and logging with tensorboardX, the multiprocess throw an EOFerror at the end of the training.
### To Reproduce
Steps to reproduce the behavior …
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I executed "train_softmax.py" with 8 GPU machine but it only used GPU 0.
How can I execute with multi-GPU?
Thanks.
![image](https://user-images.githubusercontent.com/37386553/41702316-a6ff9266-…
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Hi, thanks for your sharing.
When I tried to use multi-gpu to train Knowledge Distillation:
`python3 -m torch.distributed.run --nproc_per_node $N_GPU distillation.py ...`
I got the error:
torch.di…
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![image](https://user-images.githubusercontent.com/74148589/182056035-0d0abacd-90a1-44e1-87d5-7b118e803fd6.png)
你好!我用两个GPU去训练导致这样的错误,这有什么思路解决?
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> **OS:** Manjaro Linux
> **Kernel:** 5.15.49-1-MANJARO
> **GPU:** NVIDIA GA104 [GeForce RTX 3070 Lite Hash Rate] **vendor:** ASUSTeK
> **Display:** x11 server: X.Org **v:** 21.1.3 **with:** Xwayla…
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