 DefaultCPUAllocator: can't allocate memory: you tried to allocate 100663296 bytes
# ❓ Questions & Help

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## Details
<!-- Description of your issue -->

I'm using the `run_language_modeling.py` to fine tuning the model `distilgpt2`. The command i used as follows:
```shell
python run_language_modeling.py --output_dir=output_dir --model_type gpt2 --model_name_or_path distilgpt2  --do_train  --train_data_file=data/data.txt  --overwrite_output_dir
```
But it core with following error
```shell
File "/data1/xxx/transformers/src/transformers/activations.py", line 30, in gelu_new
    return 0.5 * x * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (x + 0.044715 * torch.pow(x, 3.0))))
RuntimeError: [enforce fail at CPUAllocator.cpp:64] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 100663296 bytes. Error code 12 (Cannot allocate memory)
```
Does it core  duing to the insufficient memory on my machine? Hope for your help. Thanks a lot.

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     you didn't get an answer ask it here on GitHub. -->
**A link to original question on the forum/Stack Overflow**:
This happens because you don't have sufficient memory in your machine, indeed. You can try reducing the batch size.<|||||>> This happens because you don't have sufficient memory in your machine, indeed. You can try reducing the batch size.

In my opinion, the problem occurs may due to my dataset is too large(Relative to the memory of my machine). But the loading data part may be optimized referring to the following issue. 
https://stackoverflow.com/questions/51444059/how-to-iterate-over-two-dataloaders-simultaneously-using-pytorch/57890309#57890309 <|||||>There are two questions:
(1) I've changed a machine to run the code. It started running normal,  but will quit midway while training. Is this also related to my machine's memory? 
This is the data of my machine during training.
![image](https://user-images.githubusercontent.com/12140508/92390398-5d669080-f14d-11ea-9260-55f6ead36c72.png)
This is the exit interface. I don't know what's the matter. 
![image](https://user-images.githubusercontent.com/12140508/92390715-fdbcb500-f14d-11ea-98f5-576d29eb9fb2.png)

(2) In addition , how can i use gpu to run `run_language_modeling.py` please. Thanks a lot.
<|||||>I have a similar problem. Was there any solution in your case?
<|||||>same problem<|||||>same problem<|||||>Were there any solutions to this? I am encountering the exact same issue trying to train Dolly on the original dataset.