mindspore.Tensor.sigmoid

Sigmoid activation function.

Computes Sigmoid of input element-wise. The Sigmoid function is defined as:

sigmoid (x_{i}) = \frac{1}{1 + \exp (- x_{i})}

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

Returns: Tensor, with the same type and shape as the self tensor.
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.sigmoid()
>>> print(output)
[0.7310586  0.880797   0.95257413 0.98201376 0.9933072 ]