openvino.runtime.opset13.group_normalization#
- openvino.runtime.opset13.group_normalization(data: Node | int | float | ndarray, scale: Node | int | float | ndarray, bias: Node | int | float | ndarray, num_groups: int, epsilon: float, name: str | None = None) Node #
Return a node which produces a GroupNormalization operation.
- Parameters:
data – The input tensor to be normalized.
scale – The tensor containing the scale values for each channel.
bias – The tensor containing the bias values for each channel.
num_groups – Specifies the number of groups that the channel dimension will be divided into.
epsilon – A very small value added to the variance for numerical stability. Ensures that division by zero does not occur for any normalized element.
- Returns:
GroupNormalization node