Defined in generated file: python/ops/gen_math_ops.py
Computes exp(x) - 1
element-wise.
Aliases:
tf.math.expm1(
x,
name=None
)
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
: ATensor
. 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
.