run_translation.py englisht-german translation failed. RuntimeError: CUDA error: device-side assert triggered
## Environment info
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     Don't forget to fill out the missing fields in that output! -->

- `transformers` version: '4.13.0.dev0'
- Platform: Linux
- Python version: 3.6
- PyTorch version (GPU): '1.8.2' (GPU)
- Using GPU in script: Yes
- Using distributed or parallel set-up in script?: No

### Who can help
@patil-suraj 

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@patil-suraj 

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## Information

Model I am using: BERT

The problem arises when using:
* [*] my own modified scripts: (give details below)

The official script is to run **ro-en translation** (This works well):

I just changed the source language to English and the target language to German (**en-de translation**). I got the following error:
```
[INFO|trainer.py:1196] 2021-11-11 02:51:42,765 >> ***** Running training *****
[INFO|trainer.py:1197] 2021-11-11 02:51:42,765 >>   Num examples = 4548885
[INFO|trainer.py:1198] 2021-11-11 02:51:42,765 >>   Num Epochs = 3
[INFO|trainer.py:1199] 2021-11-11 02:51:42,765 >>   Instantaneous batch size per device = 4
[INFO|trainer.py:1200] 2021-11-11 02:51:42,765 >>   Total train batch size (w. parallel, distributed & accumulation) = 4
[INFO|trainer.py:1201] 2021-11-11 02:51:42,765 >>   Gradient Accumulation steps = 1
[INFO|trainer.py:1202] 2021-11-11 02:51:42,765 >>   Total optimization steps = 3411666

  0%|          | 0/3411666 [00:00<?, ?it/s]
  0%|          | 1/3411666 [00:00<577:21:16,  1.64it/s]
  0%|          | 3/3411666 [00:00<204:19:40,  4.64it/s]
  0%|          | 5/3411666 [00:00<139:07:25,  6.81it/s]
  0%|          | 7/3411666 [00:01<113:23:47,  8.36it/s]
  0%|          | 9/3411666 [00:01<99:22:10,  9.54it/s] 
  0%|          | 11/3411666 [00:01<91:45:24, 10.33it/s]
  0%|          | 13/3411666 [00:01<86:15:44, 10.99it/s]
...
  0%|          | 993/3411666 [01:15<94:20:15, 10.04it/s]
  0%|          | 995/3411666 [01:15<94:43:16, 10.00it/s]
  0%|          | 997/3411666 [01:15<94:12:00, 10.06it/s]/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [446,0,0], thread: [32,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [446,0,0], thread: [33,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [446,0,0], thread: [34,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [446,0,0], thread: [35,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [446,0,0], thread: [36,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [446,0,0], thread: [37,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [446,0,0], thread: [38,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/
...
/opt/conda/conda-bld/pytorch_1627336334951/work/aten/src/ATen/native/cuda/Indexing.cu:660: indexSelectLargeIndex: block: [445,0,0], thread: [127,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
{'loss': 2.1577, 'learning_rate': 4.999267220179232e-05, 'epoch': 0.0}
Traceback (most recent call last):
  File "run_translation.py", line 622, in <module>
    main()
  File "run_translation.py", line 539, in main
    train_result = trainer.train(resume_from_checkpoint=checkpoint)
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/transformers/trainer.py", line 1316, in train
    tr_loss_step = self.training_step(model, inputs)
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/transformers/trainer.py", line 1849, in training_step
    loss = self.compute_loss(model, inputs)
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/transformers/trainer.py", line 1881, in compute_loss
    outputs = model(**inputs)
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/transformers/models/marian/modeling_marian.py", line 1305, in forward
    return_dict=return_dict,
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/transformers/models/marian/modeling_marian.py", line 1181, in forward
    return_dict=return_dict,
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/transformers/models/marian/modeling_marian.py", line 968, in forward
    attention_mask, input_shape, inputs_embeds, past_key_values_length
  File "/home/guest/anaconda3/envs/huggingface_NMT/lib/python3.6/site-packages/transformers/models/marian/modeling_marian.py", line 849, in _prepare_decoder_attention_mask
    ).to(self.device)
RuntimeError: CUDA error: device-side assert triggered

  0%|          | 998/3411666 [01:16<72:19:19, 13.10it/s]
```

The tasks I am working on is:
* [*] an official GLUE/SQUaD task: English to German translation

## To reproduce

Steps to reproduce the behavior:

1. use the latest transformers code
2. run the following command:
```
CUDA_VISIBLE_DEVICES=3 python run_translation.py \
    --model_name_or_path Helsinki-NLP/opus-mt-en-de \
    --do_train \
    --source_lang en \
    --target_lang de \
    --dataset_name wmt16 \
    --dataset_config_name de-en \
    --output_dir output_NMT/tst-translation-en-de \
    --per_device_train_batch_size=4 \
    --per_device_eval_batch_size=4 \
    --overwrite_output_dir \
    --predict_with_generate
```

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## Expected behavior

<!-- A clear and concise description of what you would expect to happen. -->

Can you run the code on CPU, please?

This will give a more informative error message.<|||||>> Can you run the code on CPU, please?
> 
> This will give a more informative error message.

on CPU, it works.
```
11/11/2021 08:24:42 - WARNING - __main__ - Process rank: -1, device: cpu, n_gpu: 0distributed training: False, 16-bits training: False
11/11/2021 08:24:42 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments(
_n_gpu=0,
adafactor=False,
adam_beta1=0.9,
...
  0%|          | 500/3411666 [03:56<464:46:33,  2.04it/s][INFO|trainer.py:1995] 2021-11-11 08:28:46,449 >> Saving model checkpoint to output_NMT/tst-translation-en-de/checkpoint-500
[INFO|configuration_utils.py:417] 2021-11-11 08:28:46,454 >> Configuration saved in output_NMT/tst-translation-en-de/checkpoint-500/config.json
[INFO|modeling_utils.py:1060] 2021-11-11 08:28:47,440 >> Model weights saved in output_NMT/tst-translation-en-de/checkpoint-500/pytorch_model.bin
[INFO|tokenization_utils_base.py:2037] 2021-11-11 08:28:47,442 >> tokenizer config file saved in output_NMT/tst-translation-en-de/checkpoint-500/tokenizer_config.json
[INFO|tokenization_utils_base.py:2043] 2021-11-11 08:28:47,442 >> Special tokens file saved in output_NMT/tst-translation-en-de/checkpoint-500/special_tokens_map.json

  0%|          | 501/3411666 [04:00<1332:20:21,  1.41s/it]
  0%|          | 502/3411666 [04:00<1064:13:24,  1.12s/it]
  0%|          | 503/3411666 [04:01<907:08:17,  1.04it/s] 
  0%|          | 504/3411666 [04:01<784:55:18,  1.21it/s]
```

Any suggestion for GPU modification or test? It's really slow on CPU. Thanks.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.