Issue title: Loading DataParallel GPU model on CPU
 Issue body: Follow up to #1 issue
@abhishekkrthakur : Can you give any leads on how to load DataParallel GPU model on CPU?
As per pytorch docs tried following but still raises above RuntimeError
```python
device = torch.device('cpu')
model = TheModelClass(*args, **kwargs)
model.load_state_dict(torch.load(PATH, map_location=device))
```
 Comments: 
 Comment 0: hi. in load state dict, you have to use map_location to cpu. 
 Comment 1: and before that you need to use DataParallel as mentioned in #1
 Comment 2: I did but still getting error.

```python
MODEL.load_state_dict(torch.load(config.MODEL_PATH, map_location={"cuda:0" : "cpu"}))
```
 Comment 3: @abhishekkrthakur  Here is Traceback for your reference after setting `maplocation` to cpu
```python
Traceback (most recent call last):
  File "predict.py", line 61, in <module>
    positive_prediction = sentence_prediction(sentence)
  File "predict.py", line 54, in sentence_prediction
    token_type_ids=token_type_ids
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 532, in __call__
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/parallel/data_parallel.py", line 146, in forward
    "them on device: {}".format(self.src_device_obj, t.device))
RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found one of them on device: cpu
```
 Comment 4: Could you please post the stacktrace when you don't use DataParallel and set map_location='cpu' ?
 Comment 5: Sure. Updated above comment with model load lines for your reference.

without `DataParallel` (commented out) and with `map_location='cpu'`


```python
DEVICE = torch.device('cpu')
PREDICTION_DICT = dict()
memory = joblib.Memory("/content/bert-sentiment/input/", verbose=0)

MODEL = BERTBaseUncased()
# MODEL = nn.DataParallel(MODEL)
MODEL.load_state_dict(torch.load(config.MODEL_PATH,  map_location=DEVICE))
MODEL.to(DEVICE)
MODEL.eval()
```

Traceback:

```
2020-03-29 15:39:15.549276: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
Traceback (most recent call last):
  File "predict.py", line 17, in <module>
    MODEL.load_state_dict(torch.load(config.MODEL_PATH,  map_location=DEVICE))
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 830, in load_state_dict
    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for BERTBaseUncased:
	Missing key(s) in state_dict: "bert.embeddings.word_embeddings.weight", "bert.embeddings.position_embeddings.weight", "bert.embeddings.token_type_embeddings.weight", "bert.embeddings.LayerNorm.weight", "bert.embeddings.LayerNorm.bias", "bert.encoder.layer.0.attention.self.query.weight", "bert.encoder.layer.0.attention.self.query.bias", "bert.encoder.layer.0.attention.self.key.weight", "bert.encoder.layer.0.attention.self.key.bias", "bert.encoder.layer.0.attention.self.value.weight", "bert.encoder.layer.0.attention.self.value.bias", "bert.encoder.layer.0.attention.output.dense.weight", "bert.encoder.layer.0.attention.output.dense.bias", "bert.encoder.layer.0.attention.output.LayerNorm.weight", "bert.encoder.layer.0.attention.output.LayerNorm.bias", "bert.encoder.layer.0.intermediate.dense.weight", "bert.encoder.layer.0.intermediate.dense.bias", "bert.encoder.layer.0.output.dense.weight", "bert.encoder.layer.0.output.dense.bias", "bert.encoder.layer.0.output.LayerNorm.weight", "bert.encoder.layer.0.output.LayerNorm.bias", "bert.encoder.layer.1.attention.self.query.weight", "bert.encoder.layer.1.attention.self.query.bias", "bert.encoder.layer.1.attention.self.key.weight", "bert.encoder.layer.1.attention.self.key.bias", "bert.encoder.layer.1.attention.self.value.weight", "bert.encoder.layer.1.attention.self.value.bias", "bert.encoder.layer.1.attention.output.dense.weight", "bert.encoder.layer.1.attention.output.dense.bias", "bert.encoder.layer.1.attention.output.LayerNorm.weight", "bert.encoder.layer.1.attention.output.LayerNorm.bias", "bert.encoder.layer.1.intermediate.dense.weight", "bert.encoder.layer.1.intermediate.dense.bias", "bert.encoder.layer.1.output.dense.weight", "bert.encoder.layer.1.output.dense.bias", "bert.encoder.layer.1.output.LayerNorm.weight", "bert.encoder.layer.1.output.LayerNorm.bias", "bert.encoder.layer.2.attention.self.query.weight", "bert.encoder.layer.2.attention.self.query.bias", "bert.encoder.layer.2.attention.self.key.weight", "bert.encoder.layer.2.attention.self.key.bias", "bert.encoder.layer.2.attention.self.value.weight", "bert.encoder.layer.2.attention.self.value.bias", "bert.encoder.layer.2.attention.output.dense.weight", "bert.encoder.layer.2.attention.output.dense.bias", "bert.encoder.layer.2.attention.output.LayerNorm.weight", "bert.encoder.layer.2.attention.output.LayerNorm.bias", "bert.encoder.layer.2.intermediate.dense.weight", "bert.encoder.layer.2.intermediate.dense.bias", "bert.encoder.layer.2.output.dense.weight", "bert.encoder.layer.2.output.dense.bias", "bert.encoder.layer.2.output.LayerNorm.weight", "bert.encoder.layer.2.output.LayerNorm.bias", "bert.encoder.layer.3.attention.self.query.weight", "bert.encoder.layer.3.attention.self.query.bias", "bert.encoder.layer.3.attention.self.key.weight", "bert.encoder.layer.3.attention.self.key.bias", "bert.encoder.layer.3.attention.self.value.weight", "bert.encoder.layer.3.attention.self.value.bias", "bert.encoder.layer.3.attention.output.dense.weight", "bert.encoder.layer.3.attention.output.dense.bias", "bert.encoder.layer.3.attention.output.LayerNorm.weight", "bert.encoder.layer.3.attention.output.LayerNorm.bias", "bert.encoder.layer.3.intermediate.dense.weight", "bert.encoder.layer.3.intermediate.dense.bias", "bert.encoder.layer.3.output.dense.weight", "bert.encoder.layer.3.output.dense.bias", "bert.encoder.layer.3.output.LayerNorm.weight", "bert.encoder.layer.3.output.LayerNorm.bias", "bert.encoder.layer.4.attention.self.query.weight", "bert.encoder.layer.4.attention.self.query.bias", "bert.encoder.layer.4.attention.self.key.weight", "bert.encoder.layer.4.attention.self.key.bias", "bert.encoder.layer.4.attention.self.value.weight", "bert.encoder.layer.4.attention.self.value.bias", "bert.encoder.layer.4.attention.output.dense.weight", "bert.encoder.layer.4.attention.output.dense.bias", "bert.encoder.layer.4.attention.output.LayerNorm.weight", "bert.encoder.layer.4.attention.output.LayerNorm.bias", "bert.encoder.layer.4.intermediate.dense.weight", "bert.encoder.layer.4.intermediate.dense.bias", "bert.encoder.layer.4.output.dense.weight", "bert.encoder.layer.4.output.dense.bias", "bert.encoder.layer.4.output.LayerNorm.weight", "bert.encoder.layer.4.output.LayerNorm.bias", "bert.encoder.layer.5.attention.self.query.weight", "bert.encoder.layer.5.attention.self.query.bias", "bert.encoder.layer.5.attention.self.key.weight", "bert.encoder.layer.5.attention.self.key.bias", "bert.encoder.layer.5.attention.self.value.weight", "bert.encoder.layer.5.attention.self.value.bias", "bert.encoder.layer.5.attention.output.dense.weight", "bert.encoder.layer.5.attention.output.dense.bias", "bert.encoder.layer.5.attention.output.LayerNorm.weight", "bert.encoder.layer.5.attention.output.LayerNorm.bias", "bert.encoder.layer.5.intermediate.dense.weight", "bert.encoder.layer.5.intermediate.dense.bias", "bert.encoder.layer.5.output.dense.weight", "bert.encoder.layer.5.output.dense.bias", "bert.encoder.layer.5.output.LayerNorm.weight", "bert.encoder.layer.5.output.LayerNorm.bias", "bert.encoder.layer.6.attention.self.query.weight", "bert.encoder.layer.6.attention.self.query.bias", "bert.encoder.layer.6.attention.self.key.weight", "bert.encoder.layer.6.attention.self.key.bias", "bert.encoder.layer.6.attention.self.value.weight", "bert.encoder.layer.6.attention.self.value.bias", "bert.encoder.layer.6.attention.output.dense.weight", "bert.encoder.layer.6.attention.output.dense.bias", "bert.encoder.layer.6.attention.output.LayerNorm.weight", "bert.encoder.layer.6.attention.output.LayerNorm.bias", "bert.encoder.layer.6.intermediate.dense.weight", "bert.encoder.layer.6.intermediate.dense.bias", "bert.encoder.layer.6.output.dense.weight", "bert.encoder.layer.6.output.dense.bias", "bert.encoder.layer.6.output.LayerNorm.weight", "bert.encoder.layer.6.output.LayerNorm.bias", "bert.encoder.layer.7.attention.self.query.weight", "bert.encoder.layer.7.attention.self.query.bias", "bert.encoder.layer.7.attention.self.key.weight", "bert.encoder.layer.7.attention.self.key.bias", "bert.encoder.layer.7.attention.self.value.weight", "bert.encoder.layer.7.attention.self.value.bias", "bert.encoder.layer.7.attention.output.dense.weight", "bert.encoder.layer.7.attention.output.dense.bias", "bert.encoder.layer.7.attention.output.LayerNorm.weight", "bert.encoder.layer.7.attention.output.LayerNorm.bias", "bert.encoder.layer.7.intermediate.dense.weight", "bert.encoder.layer.7.intermediate.dense.bias", "bert.encoder.layer.7.output.dense.weight", "bert.encoder.layer.7.output.dense.bias", "bert.encoder.layer.7.output.LayerNorm.weight", "bert.encoder.layer.7.output.LayerNorm.bias", "bert.encoder.layer.8.attention.self.query.weight", "bert.encoder.layer.8.attention.self.query.bias", "bert.encoder.layer.8.attention.self.key.weight", "bert.encoder.layer.8.attention.self.key.bias", "bert.encoder.layer.8.attention.self.value.weight", "bert.encoder.layer.8.attention.self.value.bias", "bert.encoder.layer.8.attention.output.dense.weight", "bert.encoder.layer.8.attention.output.dense.bias", "bert.encoder.layer.8.attention.output.LayerNorm.weight", "bert.encoder.layer.8.attention.output.LayerNorm.bias", "bert.encoder.layer.8.intermediate.dense.weight", "bert.encoder.layer.8.intermediate.dense.bias", "bert.encoder.layer.8.output.dense.weight", "bert.encoder.layer.8.output.dense.bias", "bert.encoder.layer.8.output.LayerNorm.weight", "bert.encoder.layer.8.output.LayerNorm.bias", "bert.encoder.layer.9.attention.self.query.weight", "bert.encoder.layer.9.attention.self.query.bias", "bert.encoder.layer.9.attention.self.key.weight", "bert.encoder.layer.9.attention.self.key.bias", "bert.encoder.layer.9.attention.self.value.weight", "bert.encoder.layer.9.attention.self.value.bias", "bert.encoder.layer.9.attention.output.dense.weight", "bert.encoder.layer.9.attention.output.dense.bias", "bert.encoder.layer.9.attention.output.LayerNorm.weight", "bert.encoder.layer.9.attention.output.LayerNorm.bias", "bert.encoder.layer.9.intermediate.dense.weight", "bert.encoder.layer.9.intermediate.dense.bias", "bert.encoder.layer.9.output.dense.weight", "bert.encoder.layer.9.output.dense.bias", "bert.encoder.layer.9.output.LayerNorm.weight", "bert.encoder.layer.9.output.LayerNorm.bias", "bert.encoder.layer.10.attention.self.query.weight", "bert.encoder.layer.10.attention.self.query.bias", "bert.encoder.layer.10.attention.self.key.weight", "bert.encoder.layer.10.attention.self.key.bias", "bert.encoder.layer.10.attention.self.value.weight", "bert.encoder.layer.10.attention.self.value.bias", "bert.encoder.layer.10.attention.output.dense.weight", "bert.encoder.layer.10.attention.output.dense.bias", "bert.encoder.layer.10.attention.output.LayerNorm.weight", "bert.encoder.layer.10.attention.output.LayerNorm.bias", "bert.encoder.layer.10.intermediate.dense.weight", "bert.encoder.layer.10.intermediate.dense.bias", "bert.encoder.layer.10.output.dense.weight", "bert.encoder.layer.10.output.dense.bias", "bert.encoder.layer.10.output.LayerNorm.weight", "bert.encoder.layer.10.output.LayerNorm.bias", "bert.encoder.layer.11.attention.self.query.weight", "bert.encoder.layer.11.attention.self.query.bias", "bert.encoder.layer.11.attention.self.key.weight", "bert.encoder.layer.11.attention.self.key.bias", "bert.encoder.layer.11.attention.self.value.weight", "bert.encoder.layer.11.attention.self.value.bias", "bert.encoder.layer.11.attention.output.dense.weight", "bert.encoder.layer.11.attention.output.dense.bias", "bert.encoder.layer.11.attention.output.LayerNorm.weight", "bert.encoder.layer.11.attention.output.LayerNorm.bias", "bert.encoder.layer.11.intermediate.dense.weight", "bert.encoder.layer.11.intermediate.dense.bias", "bert.encoder.layer.11.output.dense.weight", "bert.encoder.layer.11.output.dense.bias", "bert.encoder.layer.11.output.LayerNorm.weight", "bert.encoder.layer.11.output.LayerNorm.bias", "bert.pooler.dense.weight", "bert.pooler.dense.bias", "out.weight", "out.bias". 
	Unexpected key(s) in state_dict: "module.bert.embeddings.word_embeddings.weight", "module.bert.embeddings.position_embeddings.weight", "module.bert.embeddings.token_type_embeddings.weight", "module.bert.embeddings.LayerNorm.weight", "module.bert.embeddings.LayerNorm.bias", "module.bert.encoder.layer.0.attention.self.query.weight", "module.bert.encoder.layer.0.attention.self.query.bias", "module.bert.encoder.layer.0.attention.self.key.weight", "module.bert.encoder.layer.0.attention.self.key.bias", "module.bert.encoder.layer.0.attention.self.value.weight", "module.bert.encoder.layer.0.attention.self.value.bias", "module.bert.encoder.layer.0.attention.output.dense.weight", "module.bert.encoder.layer.0.attention.output.dense.bias", "module.bert.encoder.layer.0.attention.output.LayerNorm.weight", "module.bert.encoder.layer.0.attention.output.LayerNorm.bias", "module.bert.encoder.layer.0.intermediate.dense.weight", "module.bert.encoder.layer.0.intermediate.dense.bias", "module.bert.encoder.layer.0.output.dense.weight", "module.bert.encoder.layer.0.output.dense.bias", "module.bert.encoder.layer.0.output.LayerNorm.weight", "module.bert.encoder.layer.0.output.LayerNorm.bias", "module.bert.encoder.layer.1.attention.self.query.weight", "module.bert.encoder.layer.1.attention.self.query.bias", "module.bert.encoder.layer.1.attention.self.key.weight", "module.bert.encoder.layer.1.attention.self.key.bias", "module.bert.encoder.layer.1.attention.self.value.weight", "module.bert.encoder.layer.1.attention.self.value.bias", "module.bert.encoder.layer.1.attention.output.dense.weight", "module.bert.encoder.layer.1.attention.output.dense.bias", "module.bert.encoder.layer.1.attention.output.LayerNorm.weight", "module.bert.encoder.layer.1.attention.output.LayerNorm.bias", "module.bert.encoder.layer.1.intermediate.dense.weight", "module.bert.encoder.layer.1.intermediate.dense.bias", "module.bert.encoder.layer.1.output.dense.weight", "module.bert.encoder.layer.1.output.dense.bias", "module.bert.encoder.layer.1.output.LayerNorm.weight", "module.bert.encoder.layer.1.output.LayerNorm.bias", "module.bert.encoder.layer.2.attention.self.query.weight", "module.bert.encoder.layer.2.attention.self.query.bias", "module.bert.encoder.layer.2.attention.self.key.weight", "module.bert.encoder.layer.2.attention.self.key.bias", "module.bert.encoder.layer.2.attention.self.value.weight", "module.bert.encoder.layer.2.attention.self.value.bias", "module.bert.encoder.layer.2.attention.output.dense.weight", "module.bert.encoder.layer.2.attention.output.dense.bias", "module.bert.encoder.layer.2.attention.output.LayerNorm.weight", "module.bert.encoder.layer.2.attention.output.LayerNorm.bias", "module.bert.encoder.layer.2.intermediate.dense.weight", "module.bert.encoder.layer.2.intermediate.dense.bias", "module.bert.encoder.layer.2.output.dense.weight", "module.bert.encoder.layer.2.output.dense.bias", "module.bert.encoder.layer.2.output.LayerNorm.weight", "module.bert.encoder.layer.2.output.LayerNorm.bias", "module.bert.encoder.layer.3.attention.self.query.weight", "module.bert.encoder.layer.3.attention.self.query.bias", "module.bert.encoder.layer.3.attention.self.key.weight", "module.bert.encoder.layer.3.attention.self.key.bias", "module.bert.encoder.layer.3.attention.self.value.weight", "module.bert.encoder.layer.3.attention.self.value.bias", "module.bert.encoder.layer.3.attention.output.dense.weight", "module.bert.encoder.layer.3.attention.output.dense.bias", "module.bert.encoder.layer.3.attention.output.LayerNorm.weight", "module.bert.encoder.layer.3.attention.output.LayerNorm.bias", "module.bert.encoder.layer.3.intermediate.dense.weight", "module.bert.encoder.layer.3.intermediate.dense.bias", "module.bert.encoder.layer.3.output.dense.weight", "module.bert.encoder.layer.3.output.dense.bias", "module.bert.encoder.layer.3.output.LayerNorm.weight", "module.bert.encoder.layer.3.output.LayerNorm.bias", "module.bert.encoder.layer.4.attention.self.query.weight", "module.bert.encoder.layer.4.attention.self.query.bias", "module.bert.encoder.layer.4.attention.self.key.weight", "module.bert.encoder.layer.4.attention.self.key.bias", "module.bert.encoder.layer.4.attention.self.value.weight", "module.bert.encoder.layer.4.attention.self.value.bias", "module.bert.encoder.layer.4.attention.output.dense.weight", "module.bert.encoder.layer.4.attention.output.dense.bias", "module.bert.encoder.layer.4.attention.output.LayerNorm.weight", "module.bert.encoder.layer.4.attention.output.LayerNorm.bias", "module.bert.encoder.layer.4.intermediate.dense.weight", "module.bert.encoder.layer.4.intermediate.dense.bias", "module.bert.encoder.layer.4.output.dense.weight", "module.bert.encoder.layer.4.output.dense.bias", "module.bert.encoder.layer.4.output.LayerNorm.weight", "module.bert.encoder.layer.4.output.LayerNorm.bias", "module.bert.encoder.layer.5.attention.self.query.weight", "module.bert.encoder.layer.5.attention.self.query.bias", "module.bert.encoder.layer.5.attention.self.key.weight", "module.bert.encoder.layer.5.attention.self.key.bias", "module.bert.encoder.layer.5.attention.self.value.weight", "module.bert.encoder.layer.5.attention.self.value.bias", "module.bert.encoder.layer.5.attention.output.dense.weight", "module.bert.encoder.layer.5.attention.output.dense.bias", "module.bert.encoder.layer.5.attention.output.LayerNorm.weight", "module.bert.encoder.layer.5.attention.output.LayerNorm.bias", "module.bert.encoder.layer.5.intermediate.dense.weight", "module.bert.encoder.layer.5.intermediate.dense.bias", "module.bert.encoder.layer.5.output.dense.weight", "module.bert.encoder.layer.5.output.dense.bias", "module.bert.encoder.layer.5.output.LayerNorm.weight", "module.bert.encoder.layer.5.output.LayerNorm.bias", "module.bert.encoder.layer.6.attention.self.query.weight", "module.bert.encoder.layer.6.attention.self.query.bias", "module.bert.encoder.layer.6.attention.self.key.weight", "module.bert.encoder.layer.6.attention.self.key.bias", "module.bert.encoder.layer.6.attention.self.value.weight", "module.bert.encoder.layer.6.attention.self.value.bias", "module.bert.encoder.layer.6.attention.output.dense.weight", "module.bert.encoder.layer.6.attention.output.dense.bias", "module.bert.encoder.layer.6.attention.output.LayerNorm.weight", "module.bert.encoder.layer.6.attention.output.LayerNorm.bias", "module.bert.encoder.layer.6.intermediate.dense.weight", "module.bert.encoder.layer.6.intermediate.dense.bias", "module.bert.encoder.layer.6.output.dense.weight", "module.bert.encoder.layer.6.output.dense.bias", "module.bert.encoder.layer.6.output.LayerNorm.weight", "module.bert.encoder.layer.6.output.LayerNorm.bias", "module.bert.encoder.layer.7.attention.self.query.weight", "module.bert.encoder.layer.7.attention.self.query.bias", "module.bert.encoder.layer.7.attention.self.key.weight", "module.bert.encoder.layer.7.attention.self.key.bias", "module.bert.encoder.layer.7.attention.self.value.weight", "module.bert.encoder.layer.7.attention.self.value.bias", "module.bert.encoder.layer.7.attention.output.dense.weight", "module.bert.encoder.layer.7.attention.output.dense.bias", "module.bert.encoder.layer.7.attention.output.LayerNorm.weight", "module.bert.encoder.layer.7.attention.output.LayerNorm.bias", "module.bert.encoder.layer.7.intermediate.dense.weight", "module.bert.encoder.layer.7.intermediate.dense.bias", "module.bert.encoder.layer.7.output.dense.weight", "module.bert.encoder.layer.7.output.dense.bias", "module.bert.encoder.layer.7.output.LayerNorm.weight", "module.bert.encoder.layer.7.output.LayerNorm.bias", "module.bert.encoder.layer.8.attention.self.query.weight", "module.bert.encoder.layer.8.attention.self.query.bias", "module.bert.encoder.layer.8.attention.self.key.weight", "module.bert.encoder.layer.8.attention.self.key.bias", "module.bert.encoder.layer.8.attention.self.value.weight", "module.bert.encoder.layer.8.attention.self.value.bias", "module.bert.encoder.layer.8.attention.output.dense.weight", "module.bert.encoder.layer.8.attention.output.dense.bias", "module.bert.encoder.layer.8.attention.output.LayerNorm.weight", "module.bert.encoder.layer.8.attention.output.LayerNorm.bias", "module.bert.encoder.layer.8.intermediate.dense.weight", "module.bert.encoder.layer.8.intermediate.dense.bias", "module.bert.encoder.layer.8.output.dense.weight", "module.bert.encoder.layer.8.output.dense.bias", "module.bert.encoder.layer.8.output.LayerNorm.weight", "module.bert.encoder.layer.8.output.LayerNorm.bias", "module.bert.encoder.layer.9.attention.self.query.weight", "module.bert.encoder.layer.9.attention.self.query.bias", "module.bert.encoder.layer.9.attention.self.key.weight", "module.bert.encoder.layer.9.attention.self.key.bias", "module.bert.encoder.layer.9.attention.self.value.weight", "module.bert.encoder.layer.9.attention.self.value.bias", "module.bert.encoder.layer.9.attention.output.dense.weight", "module.bert.encoder.layer.9.attention.output.dense.bias", "module.bert.encoder.layer.9.attention.output.LayerNorm.weight", "module.bert.encoder.layer.9.attention.output.LayerNorm.bias", "module.bert.encoder.layer.9.intermediate.dense.weight", "module.bert.encoder.layer.9.intermediate.dense.bias", "module.bert.encoder.layer.9.output.dense.weight", "module.bert.encoder.layer.9.output.dense.bias", "module.bert.encoder.layer.9.output.LayerNorm.weight", "module.bert.encoder.layer.9.output.LayerNorm.bias", "module.bert.encoder.layer.10.attention.self.query.weight", "module.bert.encoder.layer.10.attention.self.query.bias", "module.bert.encoder.layer.10.attention.self.key.weight", "module.bert.encoder.layer.10.attention.self.key.bias", "module.bert.encoder.layer.10.attention.self.value.weight", "module.bert.encoder.layer.10.attention.self.value.bias", "module.bert.encoder.layer.10.attention.output.dense.weight", "module.bert.encoder.layer.10.attention.output.dense.bias", "module.bert.encoder.layer.10.attention.output.LayerNorm.weight", "module.bert.encoder.layer.10.attention.output.LayerNorm.bias", "module.bert.encoder.layer.10.intermediate.dense.weight", "module.bert.encoder.layer.10.intermediate.dense.bias", "module.bert.encoder.layer.10.output.dense.weight", "module.bert.encoder.layer.10.output.dense.bias", "module.bert.encoder.layer.10.output.LayerNorm.weight", "module.bert.encoder.layer.10.output.LayerNorm.bias", "module.bert.encoder.layer.11.attention.self.query.weight", "module.bert.encoder.layer.11.attention.self.query.bias", "module.bert.encoder.layer.11.attention.self.key.weight", "module.bert.encoder.layer.11.attention.self.key.bias", "module.bert.encoder.layer.11.attention.self.value.weight", "module.bert.encoder.layer.11.attention.self.value.bias", "module.bert.encoder.layer.11.attention.output.dense.weight", "module.bert.encoder.layer.11.attention.output.dense.bias", "module.bert.encoder.layer.11.attention.output.LayerNorm.weight", "module.bert.encoder.layer.11.attention.output.LayerNorm.bias", "module.bert.encoder.layer.11.intermediate.dense.weight", "module.bert.encoder.layer.11.intermediate.dense.bias", "module.bert.encoder.layer.11.output.dense.weight", "module.bert.encoder.layer.11.output.dense.bias", "module.bert.encoder.layer.11.output.LayerNorm.weight", "module.bert.encoder.layer.11.output.LayerNorm.bias", "module.bert.pooler.dense.weight", "module.bert.pooler.dense.bias", "module.out.weight", "module.out.bias". 
```
 Comment 6: sorry I lost track of this. I dont know if you have found the solution already but if not, then you should use the following for saving the model:

`torch.save(model.module.state_dict(), save_path)`

Then you will be able to load it on cpu and gpu without dataparallel. 

I'm closing this issue . Feel free to re-open.

{'source': 'GithubIssues', 'repo_name_with_owner': 'abhishekkrthakur/bert-sentiment', 'issue_id': 589806484, 'repo_stars': 241.0}