mindspore.Tensor.sigmoid

Tensor.sigmoid()[source]

Sigmoid activation function.

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

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

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 ]