log

paddle. log ( x: Tensor, name: str | None = None, *, out: Tensor | None = None ) → Tensor [source]

Calculates the natural log of the given input Tensor, element-wise.

\[Out = \ln(x)\]

Parameters

x (Tensor) – Input Tensor. Must be one of the following types: int32, int64, float16, bfloat16, float32, float64, complex64, complex128. Alias: input.
name (str|None) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to api_guide_Name
out (Tensor, optional) – The output Tensor. If set, the result will be stored in this tensor. Default is None.

Returns

The natural log of the input Tensor computed element-wise.

Return type

Tensor

Examples

           >>> import paddle

>>> x = [[2, 3, 4], [7, 8, 9]]
>>> x = paddle.to_tensor(x, dtype='float32')
>>> print(paddle.log(x))
Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[0.69314718, 1.09861231, 1.38629436],
 [1.94591010, 2.07944155, 2.19722462]])

          