code: def __call__(self, *args, **kwargs):
      vectors = []
  
      range_ = kwargs.pop("range", None)
      slice_ = kwargs.pop("slice", None)
      stream = kwargs.pop("stream", None)
  
      if kwargs:
          raise TypeError(
              "invalid keyword arguments specified: "
              + ", ".join(kwargs.keys())
          )
  
      invocation_args = []
      mod, func, arguments = self.generate_stride_kernel_and_types(
          range_ is not None or slice_ is not None
      )
  
      for arg, arg_descr in zip(args, arguments):
          if isinstance(arg_descr, VectorArg):
              if not arg.flags.forc:
                  raise RuntimeError(
                      "elementwise kernel cannot "
                      "deal with non-contiguous arrays"
                  )
  
              vectors.append(arg)
              invocation_args.append(arg.gpudata)
          else:
              invocation_args.append(arg)
  
      repr_vec = vectors[0]
  
      if slice_ is not None:
          if range_ is not None:
              raise TypeError(
                  "may not specify both range and slice "
                  "keyword arguments"
              )
  
          range_ = slice(*slice_.indices(repr_vec.size))
  
      if range_ is not None:
          invocation_args.append(range_.start)
          invocation_args.append(range_.stop)
          if range_.step is None:
              invocation_args.append(1)
          else:
              invocation_args.append(range_.step)
  
          from pycuda.gpuarray import splay
  
          grid, block = splay(
              abs(range_.stop - range_.start) // range_.step
          )
      else:
          block = repr_vec._block
          grid = repr_vec._grid
          invocation_args.append(repr_vec.mem_size)
  
      func.prepared_async_call(grid, block, stream, *invocation_args)
  
imports: from pycuda.tools import context_dependent_memoize
  from typing import Any
  import numpy
  from pycuda.tools import dtype_to_ctype, VectorArg, ScalarArg
  from pytools import memoize_method
label_desc: Use image node_id 4 for calling the ElementwiseKernel obj's underlying member method code with example usage: obj.__call__() without return types