openvino.runtime.opset6.squared_difference#
- openvino.runtime.opset6.squared_difference(x1: Node | int | float | ndarray, x2: Node | int | float | ndarray, auto_broadcast: str = 'NUMPY', name: str | None = None) Node #
Perform an element-wise squared difference between two tensors.
f[ y[i] = (x_1[i] - x_2[i])^2 f]
- Parameters:
x1 – The node with first input tensor.
x2 – The node with second input tensor.
auto_broadcast – The type of broadcasting that specifies mapping of input tensor axes to output shape axes. Range of values: numpy, explicit.
name – Optional new name for output node.
- Returns:
The new node performing a squared difference between two tensors.