class_docstr: Provenance tracking implementation in Pytorch.
  
  Provenance of the output tensor is the union of provenances of input tensors.
class_docstr_tok: ["Provenance","tracking","implementation","in","Pytorch",".","Provenance","of","the","output","tensor","is","the","union","of","provenances","of","input","tensors","."]
code: def __repr__(self):
      return "Provenance:\n{}\nTensor:\n{}".format(
          self._provenance, self._t
      )
  
imports: import torch
label_desc: Use image node_id 3 for calling the ProvenanceTensor obj's underlying member method code with example usage: obj.__repr__() and returns: str