class_docstr: Translate torch.Tensor from and to numpy.ndarray
docstr: Translate torch.Tensor to numpy ndarray
docstr_tok: ["Translate","torch.Tensor","to","numpy","ndarray"]
code: def serialize(self, data, content_type: str = "tensor/pt"):
      """Translate torch.Tensor to numpy ndarray"""
      try:
          return data.detach().numpy()
      except Exception as e:
          logger.error(e)
          raise ValueError(
              "Unable to translate data %s to np.ndarray: %s"
              % (type(data), e)
          )
  
imports: from __future__ import absolute_import
  import logging
  import numpy
label_desc: Use image node_id 2 for calling the TorchTensorTranslator obj's underlying member method code with example usage: obj.serialize(data, content_type) and returns: data