openvino.runtime.opset2.mvn#
- openvino.runtime.opset2.mvn(data: Node, across_channels: bool = False, normalize_variance: bool = False, eps: float = 1e-09, name: str | None = None) Node #
Perform Mean Variance Normalization operation on data from input node.
Computes MVN on the input tensor data (called X) using formula:
f[ Y = dfrac{X-EX}{sqrt{E(X-EX)^2}} f]
- Parameters:
data – The node with data tensor.
across_channels – Denotes if mean values are shared across channels.
normalize_variance – Denotes whether to perform variance normalization.
eps – The number added to the variance to avoid division by zero when normalizing the value. Scalar value.
name – Optional output node name.
- Returns:
The new node performing a MVN operation on input tensor.