class_docstr: Represents a symbolic size, e.g., as returned by tensor.size(0)
class_docstr_tok: ["Represents","a","symbolic","size",",","e.g.",",","as","returned","by","tensor.size","(","0",")"]
code: def create(cls, tx, proxy, sym_num, **options):
      if "example_value" in proxy.node.meta:
          assert proxy.node.meta["example_value"] == sym_num
      if sym_num is None:
          sym_num = get_fake_value(proxy.node, tx)
      proxy.node.meta["example_value"] = sym_num
  
      if isinstance(sym_num, (sympy.Integer, int, bool)):
          if isinstance(sym_num, sympy.Integer):
              breakpoint()
          sym_num = (
              int(sym_num)
              if isinstance(sym_num, sympy.Integer)
              else sym_num
          )
          return ConstantVariable.create(sym_num)
  
      return SymNodeVariable(proxy, sym_num, **options)
  
imports: import functools
  import inspect
  import operator
  import types
  from typing import Dict, List
  import sympy
  import torch._numpy
  import torch.fx
  import torch.random
  from torch._dynamo import compiled_autograd
  from torch.fx.experimental.symbolic_shapes import guard_scalar, GuardOnDataDependentSymNode, has_free_symbols, is_symbolic, SymTypes
  from ..None import config, variables
  from .._trace_wrapped_higher_order_op import trace_wrapped
  from ..exc import unimplemented, UserError, UserErrorType
  from ..guards import GuardBuilder, install_guard
  from ..source import AttrSource
  from ..utils import fqn, get_custom_getattr, get_fake_value, get_real_value, guard_if_dyn, object_has_getattribute, product, proxy_args_kwargs, tensortype_to_dtype
  from .base import VariableTracker
  from .constant import ConstantVariable
  from .lists import SizeVariable
label_desc: Use image node_id 1 for calling the SymNodeVariable obj's underlying member method code with example usage: obj.create(cls, tx, proxy, sym_num) and returns: SymNodeVariable, ConstantVariable