mindspore.mint.nn.Sigmoid

class mindspore.mint.nn.Sigmoid

Apply sigmoid activation function element-wise.

Sigmoid function is defined as:

\[\text{sigmoid}(x_i) = \frac{1}{1 + \exp(-x_i)},\]

where \(x_i\) is the element of x.

Sigmoid Activation Function Graph:

Inputs:

• input (Tensor) - The input tensor.

Outputs:

Tensor.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> input = mindspore.tensor([-1, -2, 0, 2, 1], mindspore.float16)
>>> sigmoid = mindspore.mint.nn.Sigmoid()
>>> output = sigmoid(input)
>>> print(output)
[0.2688  0.11914 0.5     0.881   0.7305 ]