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 __new__(cls, data, provenance=frozenset(), **kwargs):
      if not provenance:
          return data
      return torch.Tensor.__new__(cls)
  
imports: import torch
label_desc: Use image node_id 1 for calling the ProvenanceTensor obj's underlying member method code with example usage: obj.__new__(cls, data, provenance) and returns: torch, data