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tf.math.log_sigmoid

Computes log sigmoid of x element-wise.

Aliases:

  • tf.compat.v1.log_sigmoid
  • tf.compat.v1.math.log_sigmoid
  • tf.compat.v2.math.log_sigmoid
  • tf.log_sigmoid
  • tf.math.log_sigmoid
tf.math.log_sigmoid(
    x,
    name=None
)

Defined in python/ops/math_ops.py.

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

Args:

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

Returns:

A Tensor with the same type as x.