code: def _convert_to_tensor_fn(x, dtype, name):
      if callable(x):
          return x
      else:
          return lambda t: tf.convert_to_tensor(x, dtype, name=name)
  
imports: import functools
  from typing import Any, Callable, List, Optional, Union
  import tensorflow.compat.v2
  from tf_quant_finance import black_scholes
  from tf_quant_finance import datetime
  from tf_quant_finance import math
  from tf_quant_finance import types
  from tf_quant_finance.experimental.pricing_platform.framework.market_data import volatility_surface
  from tf_quant_finance.math import interpolation
  from tf_quant_finance.math import piecewise
  from tf_quant_finance.math import random
  from tf_quant_finance.models import generic_ito_process
label_desc: Use image node_id 4 for calling a global function with example usage: _convert_to_tensor_fn(x, dtype, name) and returns: x, function