mindspore.ops.Mish

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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