PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes.
torch.arange() returns a 1-D tensor of size
with values from the interval taken with common difference step beginning from start.
Syntax: torch.arange(start=0, end, step=1, out=None)
start: the starting value for the set of points. Default: 0.
end: the ending value for the set of points
step: the gap between each pair of adjacent points. Default: 1.
out(Tensor, optional): the output tensor
Return type: A tensor
a = tensor([0, 1, 2]) b = tensor([1, 2, 3, 4, 5]) c = tensor([1.0000, 1.5000, 2.0000, 2.5000, 3.0000, 3.5000, 4.0000, 4.5000])
Note that the non-integer step is subject to floating-point rounding errors when comparing against end; to avoid inconsistency, we advise adding a small epsilon to the end in such cases.
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