Incompatible torch and torchvision version numbers in requirements file
🐛 Bug
requirements.txt lists torch and torchvision requirements as follows
torch>=1.1
torchvision>=0.4.0

which leads to pip installing torchvision 0.4.2 and torch 1.4.0. These are incompatible with each other. Running pip -r requirements.txt throws the following error

ERROR: torchvision 0.4.2 has requirement torch==1.3.1, but you'll have torch 1.4.0 which is incompatible.

To Reproduce
Steps to reproduce the behavior:

Go to lightning root directory
Run 'pip -r requirements.txt'
See error

Expected behavior
Pip should be able to install all requirements successfully.
Environment
PyTorch version: 1.3.1
Is debug build: No
CUDA used to build PyTorch: 10.1.243
OS: Ubuntu 18.04.3 LTS
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
CMake version: Could not collect
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 10.1.243
GPU models and configuration: GPU 0: GeForce RTX 2080 SUPER
Nvidia driver version: 430.64
cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
Versions of relevant libraries:
[pip] numpy==1.18.1
[pip] pytorch-lightning==0.6.0
[pip] torch==1.3.1
[pip] torchfile==0.1.0
[pip] torchvision==0.4.2
[conda] pytorch-lightning         0.6.0                     dev_0    
[conda] torch                     1.3.1                    pypi_0    pypi
[conda] torchfile                 0.1.0                    pypi_0    pypi
[conda] torchvision               0.4.2                    pypi_0    pypi