openvino.runtime.opset4.mvn

openvino.runtime.opset4.mvn(data: openvino._pyopenvino.Node, across_channels: bool = False, normalize_variance: bool = False, eps: float = 1e-09, name: Optional[str] = None) → openvino._pyopenvino.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.