The output `y` has the same rank as `x`. The shapes of `x` and `y` satisfy:
  `y.shape[i] == x.shape[perm[i]] for i in [0, 1, ..., rank(x) - 1]`
  `y[i,j,k,...,s,t,u] == conj(x[perm[i], perm[j], perm[k],...,perm[s], perm[t], perm[u]])`
  }];

  let arguments = (ins
    TF_Tensor:$x,
    TF_I32OrI64Tensor:$perm
  );

  let results = (outs
    TF_Tensor:$y
  );