>>> t = torch.tensor([1,2,3])
>>> t.dtype
torch.int64
>>> t.type()
'torch.LongTensor'
>>> np2t = t.numpy()
>>> np2t.dtype
dtype('int64')
>>> np2t.type()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'numpy.ndarray' object has no attribute 'type'
>>> t2np = torch.from_numpy(np2t)
>>> t2np.dtype
torch.int64
>>> t2np.type()
'torch.LongTensor'

See, I am just confused about the syntax within this mash-up of Python, Numpy, PyTorch.  The torch object does have documented method for ‘from_numpy()’.  Thanks for your help, I am peddling as fast as I can!