tf.compat.v1.math.expm1

Computes exp(x) - 1 element-wise.

tf.compat.v1.math.expm1(
    x: Annotated[Any, tf.raw_ops.Any],
    name=None
) -> Annotated[Any, tf.raw_ops.Any]

i.e. exp(x) - 1 or e^(x) - 1, where x is the input tensor. e denotes Euler's number and is approximately equal to 2.718281.

  x = tf.constant(2.0)
  tf.math.expm1(x) ==> 6.389056

  x = tf.constant([2.0, 8.0])
  tf.math.expm1(x) ==> array([6.389056, 2979.958], dtype=float32)

  x = tf.constant(1 + 1j)
  tf.math.expm1(x) ==> (0.46869393991588515+2.2873552871788423j)

Args
`x`	A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `complex64`, `complex128`.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `x`.

tf.compat.v1.math.expm1

Args

Returns