We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
CPU/GPU Template


## 🐛 Bug

The GPU or CPU template do not run currently on master after changes including the setup hook. 

```
python -m pl_examples.basic_examples.gpu_template --gpus 4 --distributed_backend ddp
python -m pl_examples.basic_examples.cpu_template
```

CPU Template Error:
```
Traceback (most recent call last):
  File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/anthony/Downloads/pytorch-lightning/pl_examples/basic_examples/cpu_template.py", line 53, in <module>
    main(args)
  File "/home/anthony/Downloads/pytorch-lightning/pl_examples/basic_examples/cpu_template.py", line 34, in main
    trainer.fit(model)
  File "/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/trainer.py", line 952, in fit
    self.run_pretrain_routine(model)
  File "/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/trainer.py", line 1063, in run_pretrain_routine
    self.reset_val_dataloader(ref_model)
  File "/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/data_loading.py", line 331, in reset_val_dataloader
    self._reset_eval_dataloader(model, 'val')
  File "/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/data_loading.py", line 253, in _reset_eval_dataloader
    dataloaders = self.request_dataloader(getattr(model, f'{mode}_dataloader'))
  File "/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/data_loading.py", line 352, in request_dataloader
    dataloader = dataloader_fx()
  File "/home/anthony/Downloads/pytorch-lightning/pl_examples/models/lightning_template.py", line 158, in val_dataloader
    return DataLoader(self.mnist_test, batch_size=self.batch_size, num_workers=4)
  File "/home/anthony/.cache/pypoetry/virtualenvs/robotics-zp-60jGk-py3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 594, in __getattr__
    type(self).__name__, name))
AttributeError: 'LightningTemplateModel' object has no attribute 'mnist_test'
```
GPU Template Error:
```
  File "/home/anthony/Downloads/pytorch-lightning/pl_examples/models/lightning_template.py", line 64, in __init__
    self.c_d1_drop = nn.Dropout(self.drop_prob)
  File "/home/anthony/.cache/pypoetry/virtualenvs/robotics-zp-60jGk-py3.6/lib/python3.6/site-packages/torch/nn/modules/dropout.py", line 10, in __init__
    if p < 0 or p > 1:
TypeError: '<' not supported between instances of 'Namespace' and 'int'
```

### Environment


* CUDA:
        - GPU:
                - GeForce RTX 2080 Ti
                - GeForce RTX 2080 Ti
                - GeForce RTX 2080 Ti
                - GeForce RTX 2080 Ti
        - available:         True
        - version:           10.2
* Packages:
        - numpy:             1.18.4
        - pyTorch_debug:     False
        - pyTorch_version:   1.5.0
        - pytorch-lightning: 0.8.0
        - tensorboard:       2.2.1
        - tqdm:              4.46.0
* System:
        - OS:                Linux
        - architecture:
                - 64bit
                - ELF
        - processor:         x86_64
        - python:            3.6.8
        - version:           #44~18.04.2-Ubuntu SMP Thu Apr 23 14:27:18 UTC 2020



--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `pl_examples/basic_examples/gpu_template.py`
Content:
```
1 """
2 Runs a model on a single node across multiple gpus.
3 """
4 import os
5 from argparse import ArgumentParser
6 
7 import numpy as np
8 import torch
9 
10 import pytorch_lightning as pl
11 from pl_examples.models.lightning_template import LightningTemplateModel
12 
13 SEED = 2334
14 torch.manual_seed(SEED)
15 np.random.seed(SEED)
16 
17 
18 def main(hparams):
19     """
20     Main training routine specific for this project
21     :param hparams:
22     """
23     # ------------------------
24     # 1 INIT LIGHTNING MODEL
25     # ------------------------
26     model = LightningTemplateModel(hparams)
27 
28     # ------------------------
29     # 2 INIT TRAINER
30     # ------------------------
31     trainer = pl.Trainer(
32         max_epochs=hparams.epochs,
33         gpus=hparams.gpus,
34         distributed_backend=hparams.distributed_backend,
35         precision=16 if hparams.use_16bit else 32,
36     )
37 
38     # ------------------------
39     # 3 START TRAINING
40     # ------------------------
41     trainer.fit(model)
42 
43 
44 if __name__ == '__main__':
45     # ------------------------
46     # TRAINING ARGUMENTS
47     # ------------------------
48     # these are project-wide arguments
49 
50     root_dir = os.path.dirname(os.path.realpath(__file__))
51     parent_parser = ArgumentParser(add_help=False)
52 
53     # gpu args
54     parent_parser.add_argument(
55         '--gpus',
56         type=int,
57         default=2,
58         help='how many gpus'
59     )
60     parent_parser.add_argument(
61         '--distributed_backend',
62         type=str,
63         default='dp',
64         help='supports three options dp, ddp, ddp2'
65     )
66     parent_parser.add_argument(
67         '--use_16bit',
68         dest='use_16bit',
69         action='store_true',
70         help='if true uses 16 bit precision'
71     )
72 
73     # each LightningModule defines arguments relevant to it
74     parser = LightningTemplateModel.add_model_specific_args(parent_parser, root_dir)
75     hyperparams = parser.parse_args()
76 
77     # ---------------------
78     # RUN TRAINING
79     # ---------------------
80     main(hyperparams)
81
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/pl_examples/basic_examples/gpu_template.py b/pl_examples/basic_examples/gpu_template.py
--- a/pl_examples/basic_examples/gpu_template.py
+++ b/pl_examples/basic_examples/gpu_template.py
@@ -23,7 +23,7 @@
     # ------------------------
     # 1 INIT LIGHTNING MODEL
     # ------------------------
-    model = LightningTemplateModel(hparams)
+    model = LightningTemplateModel(**vars(hparams))
 
     # ------------------------
     # 2 INIT TRAINER
@@ -61,7 +61,7 @@
         '--distributed_backend',
         type=str,
         default='dp',
-        help='supports three options dp, ddp, ddp2'
+        help='supports four options dp, ddp, ddp2, ddp_spawn'
     )
     parent_parser.add_argument(
         '--use_16bit',

{"golden_diff": "diff --git a/pl_examples/basic_examples/gpu_template.py b/pl_examples/basic_examples/gpu_template.py\n--- a/pl_examples/basic_examples/gpu_template.py\n+++ b/pl_examples/basic_examples/gpu_template.py\n@@ -23,7 +23,7 @@\n     # ------------------------\n     # 1 INIT LIGHTNING MODEL\n     # ------------------------\n-    model = LightningTemplateModel(hparams)\n+    model = LightningTemplateModel(**vars(hparams))\n \n     # ------------------------\n     # 2 INIT TRAINER\n@@ -61,7 +61,7 @@\n         '--distributed_backend',\n         type=str,\n         default='dp',\n-        help='supports three options dp, ddp, ddp2'\n+        help='supports four options dp, ddp, ddp2, ddp_spawn'\n     )\n     parent_parser.add_argument(\n         '--use_16bit',\n", "issue": "CPU/GPU Template\n\r\n\r\n## \ud83d\udc1b Bug\r\n\r\nThe GPU or CPU template do not run currently on master after changes including the setup hook. \r\n\r\n```\r\npython -m pl_examples.basic_examples.gpu_template --gpus 4 --distributed_backend ddp\r\npython -m pl_examples.basic_examples.cpu_template\r\n```\r\n\r\nCPU Template Error:\r\n```\r\nTraceback (most recent call last):\r\n  File \"/usr/lib/python3.6/runpy.py\", line 193, in _run_module_as_main\r\n    \"__main__\", mod_spec)\r\n  File \"/usr/lib/python3.6/runpy.py\", line 85, in _run_code\r\n    exec(code, run_globals)\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pl_examples/basic_examples/cpu_template.py\", line 53, in <module>\r\n    main(args)\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pl_examples/basic_examples/cpu_template.py\", line 34, in main\r\n    trainer.fit(model)\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/trainer.py\", line 952, in fit\r\n    self.run_pretrain_routine(model)\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/trainer.py\", line 1063, in run_pretrain_routine\r\n    self.reset_val_dataloader(ref_model)\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/data_loading.py\", line 331, in reset_val_dataloader\r\n    self._reset_eval_dataloader(model, 'val')\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/data_loading.py\", line 253, in _reset_eval_dataloader\r\n    dataloaders = self.request_dataloader(getattr(model, f'{mode}_dataloader'))\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pytorch_lightning/trainer/data_loading.py\", line 352, in request_dataloader\r\n    dataloader = dataloader_fx()\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pl_examples/models/lightning_template.py\", line 158, in val_dataloader\r\n    return DataLoader(self.mnist_test, batch_size=self.batch_size, num_workers=4)\r\n  File \"/home/anthony/.cache/pypoetry/virtualenvs/robotics-zp-60jGk-py3.6/lib/python3.6/site-packages/torch/nn/modules/module.py\", line 594, in __getattr__\r\n    type(self).__name__, name))\r\nAttributeError: 'LightningTemplateModel' object has no attribute 'mnist_test'\r\n```\r\nGPU Template Error:\r\n```\r\n  File \"/home/anthony/Downloads/pytorch-lightning/pl_examples/models/lightning_template.py\", line 64, in __init__\r\n    self.c_d1_drop = nn.Dropout(self.drop_prob)\r\n  File \"/home/anthony/.cache/pypoetry/virtualenvs/robotics-zp-60jGk-py3.6/lib/python3.6/site-packages/torch/nn/modules/dropout.py\", line 10, in __init__\r\n    if p < 0 or p > 1:\r\nTypeError: '<' not supported between instances of 'Namespace' and 'int'\r\n```\r\n\r\n### Environment\r\n\r\n\r\n* CUDA:\r\n        - GPU:\r\n                - GeForce RTX 2080 Ti\r\n                - GeForce RTX 2080 Ti\r\n                - GeForce RTX 2080 Ti\r\n                - GeForce RTX 2080 Ti\r\n        - available:         True\r\n        - version:           10.2\r\n* Packages:\r\n        - numpy:             1.18.4\r\n        - pyTorch_debug:     False\r\n        - pyTorch_version:   1.5.0\r\n        - pytorch-lightning: 0.8.0\r\n        - tensorboard:       2.2.1\r\n        - tqdm:              4.46.0\r\n* System:\r\n        - OS:                Linux\r\n        - architecture:\r\n                - 64bit\r\n                - ELF\r\n        - processor:         x86_64\r\n        - python:            3.6.8\r\n        - version:           #44~18.04.2-Ubuntu SMP Thu Apr 23 14:27:18 UTC 2020\r\n\r\n\n", "before_files": [{"content": "\"\"\"\nRuns a model on a single node across multiple gpus.\n\"\"\"\nimport os\nfrom argparse import ArgumentParser\n\nimport numpy as np\nimport torch\n\nimport pytorch_lightning as pl\nfrom pl_examples.models.lightning_template import LightningTemplateModel\n\nSEED = 2334\ntorch.manual_seed(SEED)\nnp.random.seed(SEED)\n\n\ndef main(hparams):\n    \"\"\"\n    Main training routine specific for this project\n    :param hparams:\n    \"\"\"\n    # ------------------------\n    # 1 INIT LIGHTNING MODEL\n    # ------------------------\n    model = LightningTemplateModel(hparams)\n\n    # ------------------------\n    # 2 INIT TRAINER\n    # ------------------------\n    trainer = pl.Trainer(\n        max_epochs=hparams.epochs,\n        gpus=hparams.gpus,\n        distributed_backend=hparams.distributed_backend,\n        precision=16 if hparams.use_16bit else 32,\n    )\n\n    # ------------------------\n    # 3 START TRAINING\n    # ------------------------\n    trainer.fit(model)\n\n\nif __name__ == '__main__':\n    # ------------------------\n    # TRAINING ARGUMENTS\n    # ------------------------\n    # these are project-wide arguments\n\n    root_dir = os.path.dirname(os.path.realpath(__file__))\n    parent_parser = ArgumentParser(add_help=False)\n\n    # gpu args\n    parent_parser.add_argument(\n        '--gpus',\n        type=int,\n        default=2,\n        help='how many gpus'\n    )\n    parent_parser.add_argument(\n        '--distributed_backend',\n        type=str,\n        default='dp',\n        help='supports three options dp, ddp, ddp2'\n    )\n    parent_parser.add_argument(\n        '--use_16bit',\n        dest='use_16bit',\n        action='store_true',\n        help='if true uses 16 bit precision'\n    )\n\n    # each LightningModule defines arguments relevant to it\n    parser = LightningTemplateModel.add_model_specific_args(parent_parser, root_dir)\n    hyperparams = parser.parse_args()\n\n    # ---------------------\n    # RUN TRAINING\n    # ---------------------\n    main(hyperparams)\n", "path": "pl_examples/basic_examples/gpu_template.py"}], "after_files": [{"content": "\"\"\"\nRuns a model on a single node across multiple gpus.\n\"\"\"\nimport os\nfrom argparse import ArgumentParser\n\nimport numpy as np\nimport torch\n\nimport pytorch_lightning as pl\nfrom pl_examples.models.lightning_template import LightningTemplateModel\n\nSEED = 2334\ntorch.manual_seed(SEED)\nnp.random.seed(SEED)\n\n\ndef main(hparams):\n    \"\"\"\n    Main training routine specific for this project\n    :param hparams:\n    \"\"\"\n    # ------------------------\n    # 1 INIT LIGHTNING MODEL\n    # ------------------------\n    model = LightningTemplateModel(**vars(hparams))\n\n    # ------------------------\n    # 2 INIT TRAINER\n    # ------------------------\n    trainer = pl.Trainer(\n        max_epochs=hparams.epochs,\n        gpus=hparams.gpus,\n        distributed_backend=hparams.distributed_backend,\n        precision=16 if hparams.use_16bit else 32,\n    )\n\n    # ------------------------\n    # 3 START TRAINING\n    # ------------------------\n    trainer.fit(model)\n\n\nif __name__ == '__main__':\n    # ------------------------\n    # TRAINING ARGUMENTS\n    # ------------------------\n    # these are project-wide arguments\n\n    root_dir = os.path.dirname(os.path.realpath(__file__))\n    parent_parser = ArgumentParser(add_help=False)\n\n    # gpu args\n    parent_parser.add_argument(\n        '--gpus',\n        type=int,\n        default=2,\n        help='how many gpus'\n    )\n    parent_parser.add_argument(\n        '--distributed_backend',\n        type=str,\n        default='dp',\n        help='supports four options dp, ddp, ddp2, ddp_spawn'\n    )\n    parent_parser.add_argument(\n        '--use_16bit',\n        dest='use_16bit',\n        action='store_true',\n        help='if true uses 16 bit precision'\n    )\n\n    # each LightningModule defines arguments relevant to it\n    parser = LightningTemplateModel.add_model_specific_args(parent_parser, root_dir)\n    hyperparams = parser.parse_args()\n\n    # ---------------------\n    # RUN TRAINING\n    # ---------------------\n    main(hyperparams)\n", "path": "pl_examples/basic_examples/gpu_template.py"}]}