mindspore.nn.Tanh

class mindspore.nn.Tanh

Tanh activation function.

Applies the Tanh function element-wise, returns a new tensor with the hyperbolic tangent of the elements of input, The input is a Tensor with any valid shape.

Tanh function is defined as:

$$tanh(x_i)=\frac{\exp (x_i)-\exp (-x_i)}{\exp (x_i)+\exp (-x_i)}=\frac{\exp (2x_i)-1}{\exp (2x_i)+1},$$

where $x_i$ is an element of the input Tensor.

Inputs:

• x (Tensor) - The input of Tanh with data type of float16 or float32. The shape is $(N,\ast )$ where $\ast$ means, any number of additional dimensions.

Outputs:

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

Raises

TypeError – If dtype of x is neither float16 nor float32.

Supported Platforms:

Ascend GPU CPU

Examples

>>> x = Tensor(np.array([1, 2, 3, 2, 1]), mindspore.float16)
>>> tanh = nn.Tanh()
>>> output = tanh(x)
>>> print(output)
[0.7617 0.964  0.995  0.964  0.7617]