mindspore.ops.log1p

mindspore.ops.log1p(input)[source]

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

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

Parameters

input (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.

Returns

Tensor, has the same shape as the input.

Raises

TypeError – If input is not a Tensor.
TypeError – If dtype of input is neither float16 nor float32.

Supported Platforms:: Ascend GPU CPU

Examples

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