I did:
F.relu(np.ones(3))

but it threw an error:
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/brandomiranda/miniconda3/envs/hbf_env/lib/python3.6/site-packages/torch/nn/functional.py", line 463, in relu
    return _functions.thnn.Threshold.apply(input, 0, 0, inplace)
  File "/Users/brandomiranda/miniconda3/envs/hbf_env/lib/python3.6/site-packages/torch/nn/_functions/thnn/auto.py", line 126, in forward
    ctx._backend = type2backend[type(input)]
  File "/Users/brandomiranda/miniconda3/envs/hbf_env/lib/python3.6/site-packages/torch/_thnn/__init__.py", line 15, in __getitem__
    return self.backends[name].load()
KeyError: <class 'numpy.ndarray'>

why? do torch ops not process numpy stuff innately?