code: def convert_to_input_type(base_input, input_type, dtype=None):
      if input_type == "WeakTensor":
          return WeakTensor.from_tensor(
              constant_op.constant(base_input, dtype=dtype)
          )
      elif input_type == "Tensor":
          return constant_op.constant(base_input, dtype=dtype)
      elif input_type == "NumPy":
          dtype = (
              dtype.as_numpy_dtype
              if isinstance(dtype, dtypes.DType)
              else dtype
          )
          return np.array(base_input, dtype=dtype)
      elif input_type == "Python":
          return base_input
      else:
          raise ValueError(
              f"The provided input_type {input_type} is not supported."
          )
  
file_path: tensorflow-upstream/tensorflow/python/ops/weak_tensor_test_util.py
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework.weak_tensor import WeakTensor
label_desc: Use image node_id 2 for calling a global function with example usage: convert_to_input_type(base_input, input_type, dtype) and returns: WeakTensor, constant_op, np, base_input