class_docstr: .. warning::
      Do not construct :class:`Constraint` directly, use :func:`dynamic_dim` instead.
  
  This represents constraints on input tensor dimensions, e.g., requiring
  them to be fully polymorphic or within some range.
class_docstr_tok: ["..","warning",":",":","Do","not","construct",":","class",":","`","Constraint","`","directly",",","use",":","func",":","`","dynamic_dim","`","instead",".","This","represents","constraints","on","input","tensor","dimensions",",","e.g.",",","requiring","them","to","be","fully","polymorphic","or","within","some","range","."]
code: def __gt__(self, lower):
      return self._clone_with_range(lower=lower + 1)
  
imports: import builtins
  import dataclasses
  import inspect
  import math
  import sys
  import weakref
  from collections import defaultdict
  from typing import Any, Callable, Dict, List, Optional, Tuple, TYPE_CHECKING, Union
  import torch
  from torch._subclasses.fake_tensor import FakeTensor
  from .exported_program import ExportedProgram
label_desc: Use image node_id 3 for calling the Constraint obj's underlying member method code with example usage: obj.__gt__(lower) and returns: self