Tensor.sigmoid()

Returns a new tensor with the sigmoid of the elements of input tensor.

Usage

from tinygrad.tensor import Tensor
 
tensor = Tensor([-2, -3, -2, -1, 5, 6])
tensor = tensor.sigmoid()
 
print(tensor.numpy())

[0.11920293 0.04742588 0.11920293 0.26894143 0.9933071  0.9975274 ]

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