PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes.
torch.linspace() returns a one-dimensional tensor of steps equally spaced points between start and end.
The output tensor is 1-D of size steps.
Syntax: torch.linspace(start, end, steps=100, out=None)
start: the starting value for the set of point.
end: the ending value for the set of points
steps: the gap between each pair of adjacent points. Default: 100.
out(Tensor, optional): the output tensor
Return type: A tensor
a = tensor([ 3.0000, 4.7500, 6.5000, 8.2500, 10.0000]) b = tensor([-10., -5., 0., 5., 10.])
Code #2: Visualization
tensor([-5.0000, -4.2857, -3.5714, -2.8571, -2.1429, -1.4286, -0.7143, 0.0000, 0.7143, 1.4286, 2.1429, 2.8571, 3.5714, 4.2857, 5.0000]) [torch.FloatTensor of size 15]
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