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tf.math.log_sigmoid

TensorFlow 2 version View source on GitHub

Computes log sigmoid of x element-wise.

Specifically, y = log(1 / (1 + exp(-x))). For numerical stability, we use y = -tf.nn.softplus(-x).

x A Tensor with type float32 or float64.
name A name for the operation (optional).

A Tensor with the same type as x.