mindspore.Tensor.tanh

Tanh activation function.

Computes hyperbolic tangent of self Tensor element-wise. The Tanh function is defined as:

t a n h (x_{i}) = \frac{\exp (x_{i}) - \exp (- x_{i})}{\exp (x_{i}) + \exp (- x_{i})} = \frac{\exp (2 x_{i}) - 1}{\exp (2 x_{i}) + 1},

where $x_{i}$ is an element of the self Tensor.

Returns: Tensor, with the same dtype and shape as self.
Raises: TypeError – If dtype of self tensor is not float16, float32, float64, complex64 or complex128.

Supported Platforms:: Ascend GPU CPU

Examples

>>> input_x = Tensor(np.array([1, 2, 3, 4, 5]), mindspore.float32)
>>> output = input_x.tanh()
>>> print(output)
[0.7615941 0.9640276 0.9950547 0.9993293 0.9999092]