InstanceNormalization
Description
Performs instance normalization.

mean and variance indicate the mean and variance of each channel in each instance.
Input
- x: input tensor of type float16 or float.
- scale: 1D input tensor. The dimension is the same as the length of the C axis of x. The data type is the same as that of input x.
- B: 1D input tensor. The dimension is the same as the length of the C axis of x. The data type is the same as that of input x.
Attribute
epsilon: float. The default value is 1e-05. This avoids division by zero.
Output
y: output tensor of the identical data type and shape to the input.
Constraints
None.
ONNX Opset Support
Opset v8/v9/v10/v11/v12/v13/v14/v15/v16/v17/v18
Parent topic: Supported ONNX Operators