tf.math.log1p | TensorFlow v2.16.1 (original) (raw)
tf.math.log1p
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Computes natural logarithm of (1 + x) element-wise.
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tf.math.log1p(
x: Annotated[Any, tf.raw_ops.Any],
name=None
) -> Annotated[Any, tf.raw_ops.Any]
I.e., \(y = \log_e (1 + x)\).
Example:
x = tf.constant([0, 0.5, 1, 5])
tf.math.log1p(x)
<tf.Tensor: shape=(4,), dtype=float32, numpy=array([0. , 0.4054651, 0.6931472, 1.7917595], dtype=float32)>
| 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. |
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Last updated 2024-04-26 UTC.