mindspore.ops.Mish
- class mindspore.ops.Mish[source]
Computes MISH(A Self Regularized Non-Monotonic Neural Activation Function) of input tensors element-wise.
Refer to
mindspore.ops.mish()
for more details.- Inputs:
x (Tensor) - The input Tensor. Supported dtypes:
GPU/CPU: float16, float32, float64.
Ascend: float16, float32.
- Outputs:
Tensor, with the same type and shape as the x.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, ops >>> x = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32) >>> mish = ops.Mish() >>> output = mish(x) >>> print(output.shape) (2, 3) >>> x = Tensor(2.1, mindspore.float32) >>> output = mish(x) >>> print(output) 2.050599