mindspore.numpy.log1p
- mindspore.numpy.log1p(x, dtype=None)[source]
Returns the natural logarithm of one plus the input array, element-wise.
Calculates
log(1 + x)
.Note
Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported.
- Parameters
x (Tensor) – Input array.
dtype (
mindspore.dtype
) – Default:None
. Overrides the dtype of the output Tensor.
- Returns
Tensor or scalar. This is a scalar if x is a scalar.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore.numpy as np >>> x = np.array([1, 2, 3]).astype('float16') >>> output = np.log1p(x) >>> print(output) [0.6934 1.099 1.387 ]