PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes.
torch.logspace() returns a one-dimensional tensor of steps points logarithmically spaced with base base between .
The output tensor is 1-D of size steps.
Syntax: torch.logspace(start, end, steps=100, base=10, out=None)
start: the starting value for the set of point.
end: the ending value for the set of points
steps: number of points to sample between start and end. Default: 100.
base: base of the logarithm function. Default: 10.0
out(Tensor, optional): the output tensor
Return type: A tensor
a = tensor([1.0000e+03, 5.6234e+04, 3.1623e+06, 1.7783e+08, 1.0000e+10]) b = tensor([1.0000e-10, 1.0000e-05, 1.0000e+00, 1.0000e+05, 1.0000e+10])
Code #2: Visualization
tensor([3.1250e-02, 5.1271e-02, 8.4119e-02, 1.3801e-01, 2.2643e-01, 3.7150e-01, 6.0951e-01, 1.0000e+00, 1.6407e+00, 2.6918e+00, 4.4164e+00, 7.2458e+00, 1.1888e+01, 1.9504e+01, 3.2000e+01]) [torch.FloatTensor of size 15]
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