code: def _if_ge_zero(value, true_fn, false_fn):
      """Returns `true_fn() if value >= 0 else false_fn()`."""
      # If `value` is statically known, then don't use a control flow op.
      if isinstance(value, tensor_lib.Tensor):
          const_value = tensor_util.constant_value(value)
          if const_value is None:
              return cond.cond(value >= 0, true_fn, false_fn)
          else:
              value = const_value
      if value >= 0:
          return true_fn()
      else:
          return false_fn()
  
imports: from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_gather_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 9 for calling a global function with example usage: _if_ge_zero(value, true_fn, false_fn) and returns: true_fn, false_fn, cond