code: def export_model_clang(
      functions: Dict[str, str],
      statements: Dict[str, Tuple[str, int, int]],
      bufs: Dict[str, Tuple[str, int, int]],
      bufs_to_save: Dict[str, Tensor],
      input_names: List[str],
      output_names: List[str],
  ) -> str:
      from tinygrad.runtime.ops_clang import CLANG_PROGRAM_HEADER
  
      cprog = [CLANG_PROGRAM_HEADER]
  
      for name, cl in bufs_to_save.items():
          weight = "".join(["\\x%02X" % x for x in bytes(cl._buf)])
          cprog.append(f'unsigned char {name}_data[] = "{weight}";')
  
      inputs = ", ".join([f"float* {input}" for input in input_names])
      outputs = ", ".join(
          [f"float* {output}" for output in output_names]
      )
      cprog += [
          f"float {name}[{len}];"
          if name not in bufs_to_save
          else f"float *{name} = (float *){name}_data;"
          for name, (len, dtype, _key) in bufs.items()
          if name not in ["input", "outputs"]
      ]
      cprog += list(functions.values())
      cprog += (
          [f"void net({inputs}, {outputs}) {{"]
          + [
              f"{name}({', '.join(args)});"
              for (name, args, _global_size, _local_size) in statements
          ]
          + ["}"]
      )
      return "\n".join(cprog)
  
file_path: tinygrad/extra/export_model.py
imports: from typing import Tuple, Dict, List
  from tinygrad.dtype import DType
  from tinygrad.tensor import Device, Tensor
  from tinygrad.jit import TinyJit
  from tinygrad.nn.state import get_state_dict
  from tinygrad.dtype import dtypes
  import json
label_desc: Use image node_id 3 for calling a global function with example usage: export_model_clang(functions, statements, bufs, bufs_to_save, input_names, output_names) and returns: str