class_docstr: KerasTensor that represents legacy register_symbolic_tensor_type.
class_docstr_tok: ["KerasTensor","that","represents","legacy","register_symbolic_tensor_type","."]
code: def from_type_spec(cls, type_spec, name=None):
      raise NotImplementedError(
          "You cannot instantiate a KerasTensor "
          "directly from TypeSpec: %s" % type_spec
      )
  
imports: from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import type_spec
  from tensorflow.python.keras.utils import object_identity
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.ragged import ragged_operators
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import nest
label_desc: Use image node_id 3 for calling the UserRegisteredTypeKerasTensor obj's underlying member method code with example usage: obj.from_type_spec(cls, type_spec, name) without return types