class_docstr: KerasTensor that represents legacy register_symbolic_tensor_type.
class_docstr_tok: ["KerasTensor","that","represents","legacy","register_symbolic_tensor_type","."]
code: def from_tensor(cls, tensor):
      return cls(tensor)
  
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 2 for calling the UserRegisteredTypeKerasTensor obj's underlying member method code with example usage: obj.from_tensor(cls, tensor) and returns: cls