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]