torch.cuda.is_available() returns false in colab
I am trying to use GPU in google colab. Below are the details of the versions of pytorch and cuda installed in my colab. 

Torch 1.3.1 CUDA 10.1.243

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130


I am pretty new to using a GPU for transfer learning on pytorch models. My torch.cuda.is_available() returns false and I am unabel to use a GPU. torch.backends.cudnn.enabled returns true. What might be going wrong here?

Worked with all the versions mentioned above and I did not have to downgrade my CUDA to 10.0. I had restarted my colab after the updates which set my running machine back to CPU and I just had to change it back to GPU. 
