Runtime error while executing code from google colab document for creating Deepfakes image animation
enter image description hereI'm getting runtime error while executing code from google colab document for creating Deepfakes image animation.
RuntimeError                              Traceback (most recent call last)

&lt;ipython-input-5-dbd18151b569&gt; in &lt;module&gt;()
  1 from demo import load_checkpoints
  2 generator, kp_detector = load_checkpoints(config_path='config/vox-256.yaml', 

----&gt; 3                             checkpoint_path='/content/gdrive/My Drive/first-order-motion-model/vox-cpk.pth.tar')
10 frames
/usr/local/lib/python3.6/dist-packages/torch/cuda/__init__.py in _lazy_init()
188             raise AssertionError(

189                 &quot;libcudart functions unavailable. It looks like you have a broken build?&quot;)

--&gt; 190         torch._C._cuda_init()
191         # Some of the queued calls may reentrantly call _lazy_init();

192         # we need to just return without initializing in that case.

RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:47

You may be running on a colab environment that only has TPU's available and not GPU's in which case you need to utilize XLA with PyTorch. You might find this notebook and repository very helpful if this is the case:
https://colab.research.google.com/github/pytorch/xla/blob/master/contrib/colab/resnet18-training.ipynb
https://github.com/pytorch/xla
