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.