class_docstr: TensorType defines a type for tensors, which consists of a list of dimensions.
  Example:
      class M(torch.nn.Module):
          def forward(self, x:TensorType((1,2,3, Dyn)), y:TensorType((1,2,3, Dyn))):
              return torch.add(x, y)
code: def __init__(self, dim):
      self.__origin__ = TensorType
      self.__args__ = dim
  
file_path: pytorch/torch/fx/tensor_type.py
imports: from torch.fx.experimental.unification import Var
  from ._compatibility import compatibility
label_desc: Use image node_id 1 to create a new TensorType object  with example: obj = TensorType(dim)