code: def call(self, env, mask, var, val_id, *, width=None):
      name = self._name
  
      var = Data.init(var, env)
      ctype = var.ctype
      if ctype.dtype.name not in self._dtypes:
          raise TypeError(
              f"`{name}` does not support {ctype.dtype} input."
          )
  
      try:
          mask = mask.obj
      except Exception:
          raise TypeError("mask must be an integer")
      if runtime.is_hip:
          warnings.warn(
              f"mask {mask} is ignored on HIP", RuntimeWarning
          )
      elif not (0x0 <= mask <= 0xFFFFFFFF):
          raise ValueError("mask is out of range")
  
      # val_id refers to "delta" for shfl_{up, down}, "srcLane" for shfl, and
      # "laneMask" for shfl_xor
      if self._op in ("up", "down"):
          val_id_t = _cuda_types.uint32
      else:
          val_id_t = _cuda_types.int32
      val_id = _compile._astype_scalar(
          val_id, val_id_t, "same_kind", env
      )
      val_id = Data.init(val_id, env)
  
      if width:
          if isinstance(width, Constant):
              if width.obj not in (2, 4, 8, 16, 32):
                  raise ValueError("width needs to be power of 2")
      else:
          width = Constant(64) if runtime.is_hip else Constant(32)
      width = _compile._astype_scalar(
          width, _cuda_types.int32, "same_kind", env
      )
      width = Data.init(width, env)
  
      code = f"{name}({hex(mask)}, {var.code}, {val_id.code}"
      code += f", {width.code})"
      return Data(code, ctype)
  
imports: from typing import Any, Mapping
  import warnings
  import cupy
  from cupy_backends.cuda.api import runtime
  from cupy.cuda import device
  from cupyx.jit import _cuda_types
  from cupyx.jit import _cuda_typerules
  from cupyx.jit._internal_types import BuiltinFunc
  from cupyx.jit._internal_types import Data
  from cupyx.jit._internal_types import Constant
  from cupyx.jit._internal_types import Range
  from cupyx.jit import _compile
  from functools import reduce
label_desc: Use image node_id 3 for calling the WarpShuffleOp obj's underlying member method code with example usage: obj.call(env, mask, var, val_id) and returns: Data