code: def _check_compatible_shape(u, v):
      if u.shape != v.shape:
          msg = f"arrays have incompatible shapes: {u.shape} and {v.shape}"
          raise ValueError(msg)
  
imports: import numpy
  from ..None import registry
  from ..compat import cupy, cupyx
  from ..types import DeviceTypes
  from ..util import is_cupy_array, is_mxnet_gpu_array, is_tensorflow_gpu_array, is_torch_cuda_array, mxnet2xp, tensorflow2xp, torch2xp
  from .None import _custom_kernels
  from .numpy_ops import NumpyOps
  from .ops import Ops
label_desc: Use image node_id 1 for calling a global function with example usage: _check_compatible_shape(u, v) without return types