code: def _custom_op_with_schema(qualname, schema):
      ns, name = qualname.split("::")
      schema_str = f"{name}{schema}"
      function_schema = FunctionSchema.parse(schema_str)
      validate_schema(function_schema)
  
      lib = library.Library(ns, "FRAGMENT")
      lib.define(schema_str)
      ophandle = find_ophandle_or_throw(ns, function_schema.name)
      result = CustomOp(
          lib, ns, function_schema, name, ophandle, _private_access=True
      )
      result._register_autograd_kernel_indirection()
  
      torch._C._dispatch_set_report_error_callback(
          ophandle,
          functools.partial(
              report_error_callback, weakref.proxy(result)
          ),
      )
      return get_op(qualname)
  
imports: import dataclasses
  import functools
  import inspect
  import sys
  import typing
  import weakref
  from torchgen.model import FunctionSchema, OperatorName, SchemaKind, BaseType, ListType, BaseTy
  import torch
  import torch._C
  import torch.library
  from torch._library.abstract_impl import AbstractImplCtx
  from torch.library import get_ctx
  from .autograd import autograd_kernel_indirection, construct_autograd_kernel
label_desc: Use image node_id 19 for calling a global function with example usage: _custom_op_with_schema(qualname, schema) and returns: get_op