break
		}
		sym := auxToCall(call.Aux)
		s1 := call.Args[0]
		if s1.Op != OpStore {
			break
		}
		_ = s1.Args[2]
		s1_1 := s1.Args[1]
		if s1_1.Op != OpConst64 {
			break
		}
		sz := auxIntToInt64(s1_1.AuxInt)
		s2 := s1.Args[2]
		if s2.Op != OpStore {
			break
		}
		_ = s2.Args[2]
		src := s2.Args[1]

			break
		}
		sym := auxToCall(call.Aux)
		s1 := call.Args[0]
		if s1.Op != OpARM64MOVDstore {
			break
		}
		_ = s1.Args[2]
		s1_1 := s1.Args[1]
		if s1_1.Op != OpARM64MOVDconst {
			break
		}
		sz := auxIntToInt64(s1_1.AuxInt)
		s2 := s1.Args[2]
		if s2.Op != OpARM64MOVDstore {
			break
		}
		_ = s2.Args[2]

		call := v_0
		if call.Op != OpAMD64CALLstatic || len(call.Args) != 1 {
			break
		}
		sym := auxToCall(call.Aux)
		s1 := call.Args[0]
		if s1.Op != OpAMD64MOVQstoreconst {
			break
		}
		sc := auxIntToValAndOff(s1.AuxInt)
		_ = s1.Args[1]
		s2 := s1.Args[1]
		if s2.Op != OpAMD64MOVQstore {
			break
		}
		_ = s2.Args[2]
		src := s2.Args[1]
		s3 := s2.Args[2]

  let summary = "Return the shape of s0 op s1 with broadcast.";

  let description = [{
Given `s0` and `s1`, tensors that represent shapes, compute `r0`, the
broadcasted shape. `s0`, `s1` and `r0` are all integer vectors.
  }];

  let arguments = (ins
    TF_I32OrI64Tensor:$s0,
    TF_I32OrI64Tensor:$s1
  );

  let results = (outs
    TF_I32OrI64Tensor:$r0
  );

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