mindspore.ops.Log1p

class mindspore.ops.Log1p

Returns the natural logarithm of one plus the input tensor element-wise.

\[out_i = {log_e}(x_i + 1)\]

Inputs:

• x (Tensor) - The input tensor. With float16 or float32 data type. The value must be greater than -1. \((N,*)\) where \(*\) means, any number of additional dimensions, its rank should be less than 8.

Outputs:

Tensor, has the same shape as the x.

Raises

• TypeError – If x is not a Tensor.

• TypeError – If dtype of x is neither float16 nor float32.

Supported Platforms:

Ascend GPU

Examples

>>> x = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float32)
>>> log1p = ops.Log1p()
>>> output = log1p(x)
>>> print(output)
[0.6931472 1.0986123 1.609438 ]