class_docstr: Translate torch.Tensor from and to numpy.ndarray
code: def __init__(self) -> None:
      import torch
  
      self.convert_from_numpy = (
          torch.from_numpy
      )  # pylint: disable=E1101
      self.CONTENT_TYPE = "tensor/pt"
      self.ACCEPT = "tensor/pt"
  
imports: from __future__ import absolute_import
  import logging
  import numpy
label_desc: Use image node_id 1 to create a new TorchTensorTranslator object  with example: obj = TorchTensorTranslator()