code: def _validate_unconstrained_value(
      value: TensorData, transform: tfp.bijectors.Bijector, dtype: DType
  ) -> tf.Tensor:
      value = _cast_to_dtype(value, dtype)
      unconstrained_value = _to_unconstrained(value, transform)
      if unconstrained_value.dtype.is_integer:
          return unconstrained_value
      message = (
          "gpflow.Parameter: the value to be assigned is incompatible with this parameter's "
          "transform (the corresponding unconstrained value has NaN or Inf) and hence cannot be "
          "assigned."
      )
      return tf.debugging.assert_all_finite(
          unconstrained_value, message=message
      )
  
imports: from enum import Enum
  from typing import TYPE_CHECKING, Any, List, Optional, Sequence, Tuple, Union
  import numpy
  import tensorflow
  import tensorflow_probability
  from check_shapes import check_shapes
  from typing_extensions import Final
  from .config import default_float, default_summary_fmt
  from .type_flags import GENERIC_NP_ARRAYS, NP_TYPE_CHECKING
label_desc: Use image node_id 4 for calling a global function with example usage: _validate_unconstrained_value(value, transform, dtype) and returns: tf, unconstrained_value