code: def __call__(
      self,
      input_rawbuffers: List[Buffer],
      var_vals: Dict[Variable, int],
      wait=False,
      jit=False,
  ) -> Optional[float]:
      self.set_device()
      # Update rawbuffers in the c_input_params struct.
      for (j, i), input_idx in self.input_replace.items():
          setattr(
              self.updatable_nodes[j][2],
              f"f{i}",
              input_rawbuffers[input_idx]._buf,
          )
  
      # Update var_vals in the c_input_params struct.
      for j in self.jc_idxs_with_updatable_var_vals:
          for i, v in enumerate(
              cast(CompiledASTRunner, self.jit_cache[j].prg).vars
          ):
              setattr(
                  self.updatable_nodes[j][2],
                  f"f{len(self.jit_cache[j].rawbufs) + i}",
                  var_vals[v],
              )
  
      # Update launch dims in the c_node_params struct.
      for j in self.jc_idxs_with_updatable_launch_dims:
          self.set_kernel_node_launch_dims(
              self.updatable_nodes[j][1],
              *cast(
                  CompiledASTRunner, self.jit_cache[j].prg
              ).launch_dims(var_vals),
          )
  
      # Update graph nodes with the updated structs.
      for node, c_node_params, _ in self.updatable_nodes.values():
          self.graph_exec_kernel_node_set_params(
              self.instance, node, ctypes.byref(c_node_params)
          )
  
      et = self.graph_launch(self.instance, None, wait=wait)
      update_stats(
          f"<batched {len(self.jit_cache)}>",
          self.op_estimate,
          self.mem_estimate,
          var_vals,
          et,
          buf_count=len(input_rawbuffers),
          jit=jit,
          num_kernels=len(self.jit_cache),
          device=f"<GPU>:{self.device}",
      )
      return et
  
imports: import ctypes
  from typing import Any, Optional, Tuple, Dict, List, cast
  import gpuctypes.cuda
  from tinygrad.helpers import init_c_var, encode_args_cuda_style, all_same
  from tinygrad.device import CompiledASTRunner, update_stats, Buffer
  from tinygrad.runtime.ops_cuda import check, cu_time_execution
  from tinygrad.shape.symbolic import Variable
  from tinygrad.jit import JitItem, get_input_replace, get_jit_stats, get_jc_idxs_with_updatable_launch_dims, get_jc_idxs_with_updatable_var_vals, GraphException
label_desc: Use image node_id 2 for calling the CUDAGraph obj's underlying member method code with example usage: obj.__call__(input_rawbuffers, var_vals, wait, jit) and returns: et