class_docstr: Basic representation of data stored as a dense Tensor.
class_docstr_tok: ["Basic","representation","of","data","stored","as","a","dense","Tensor","."]
docstr: Returns a dense tensor representation of the container's contents.
docstr_tok: ["Returns","a","dense","tensor","representation","of","the","container","'s","contents","."]
code: def __call__(self) -> Tensor:
      """Returns a dense tensor representation of the container's contents."""
      return self.values
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from dataclasses import dataclass, fields
  from typing import Any
  from torch import device, dtype, LongTensor, Size, Tensor
label_desc: Use image node_id 1 for calling the DenseContainer obj's underlying member method code with example usage: obj.__call__() and returns: self