mindspore.ops.LogSoftmax

class mindspore.ops.LogSoftmax(axis=- 1)[source]

Log Softmax activation function.

Refer to mindspore.ops.log_softmax() for more details.

Parameters: axis (int, optional) – The axis to perform the Log softmax operation. Default: -1 .

Inputs:

logits (Tensor) - Tensor of shape \((N, *)\), where \(*\) means, any number of additional dimensions, with float16 or float32 data type.

Outputs:

Tensor, with the same type and shape as the logits.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> logits = Tensor(np.array([1, 2, 3, 4, 5]), mindspore.float32)
>>> log_softmax = ops.LogSoftmax()
>>> output = log_softmax(logits)
>>> print(output)
[-4.4519143 -3.4519143 -2.4519143 -1.4519144 -0.4519144]