code: def calculate_normalized_shape(X_shape, axis):  # type: ignore
      X_rank = len(X_shape)
      if axis < 0:
          axis = axis + X_rank
      return X_shape[axis:]
  
file_path: onnx/onnx/backend/test/case/node/layernormalization.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 2 for calling a global function with example usage: calculate_normalized_shape(X_shape, axis) and returns: X_shape