class_docstr: This class is only for correctness verification.
class_docstr_tok: ["This","class","is","only","for","correctness","verification","."]
code: def __new__(
      cls, func, *args, concrete_data=None, **kwargs
  ) -> "_MyTensor":
      cls._pre_op_fn()
      if concrete_data is not None:
          # uniform api as LazyTensor
          data = concrete_data
      else:
          kwargs["device"] = cls.default_device
          data = func(*args, **kwargs)
      return Tensor._make_subclass(
          cls, data, require_grad=data.requires_grad
      )
  
imports: from types import MethodType
  from typing import Callable, Optional, Union
  import torch
  import torch.nn
  from packaging import version
  from torch import Tensor
  from torch.nn import Parameter
  from torch.utils._pytree import tree_map
  from colossalai.logging import get_dist_logger
  from .construction import ConstructorManager
  from .pretrained import PretrainedManager
  import colossalai._analyzer._subclasses._meta_registration
label_desc: Use image node_id 1 for calling the _MyTensor obj's underlying member method code with example usage: obj.__new__(cls, func) and returns: Tensor