mindspore.ops.Sigmoid

class mindspore.ops.Sigmoid[source]

Sigmoid activation function. Refer to mindspore.ops.sigmoid() for more details.

Inputs:

input_x (Tensor) - Tensor of any dimension, the data type is float16 or float32.

Outputs:

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

Supported Platforms:

Ascend GPU CPU

Examples

>>> input_x = Tensor(np.array([1, 2, 3, 4, 5]), mindspore.float32)
>>> sigmoid = ops.Sigmoid()
>>> output = sigmoid(input_x)
>>> print(output)
[0.7310586  0.880797   0.95257413 0.98201376 0.9933072 ]