Tensor.elu()

Returns the exponential linear activation: x if x > 0 and alpha * (exp(x)-1) if x < 0.

Usage

from tinygrad.tensor import Tensor
 
tensor = Tensor([-1, -5, 1, 2, 3, 4, 5])
tensor = tensor.elu()
 
print(tensor.numpy())

[-0.63212055 -0.99326205  1.          2.          3.          4.
  5.        ]

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