openvino.runtime.opset10.elu#

openvino.runtime.opset10.elu(data: Node | int | float | ndarray, alpha: type | dtype, name: str | None = None) → Node#

Perform Exponential Linear Unit operation element-wise on data from input node.

Computes exponential linear: alpha * (exp(data) - 1) if < 0, data otherwise.

For more information refer to: [Fast and Accurate Deep Network Learning by Exponential Linear Units](http://arxiv.org/abs/1511.07289)

Parameters:

  • data – Input tensor. One of: input node, array or scalar.

  • alpha – Scalar multiplier for negative values.

  • name – Optional output node name.

Returns:

The new node performing an ELU operation on its input data element-wise.