break
		}
		b = c.Block
		v0 := b.NewValue0(v.Pos, OpSelectN, typ.Int)
		v.copyOf(v0)
		v0.AuxInt = int64ToAuxInt(0)
		v0.AddArg(c)
		return true
	}
	// match: (SelectN [1] c:(StaticLECall {f} _ _ mem))
	// cond: c.Uses == 1 && isSameCall(f, "runtime.cmpstring") && clobber(c)
	// result: mem
	for {

		{"(R_386).GoString", Method, 0},
		{"(R_386).String", Method, 0},
		{"(R_390).GoString", Method, 7},
		{"(R_390).String", Method, 7},
		{"(R_AARCH64).GoString", Method, 4},
		{"(R_AARCH64).String", Method, 4},
		{"(R_ALPHA).GoString", Method, 0},
		{"(R_ALPHA).String", Method, 0},
		{"(R_ARM).GoString", Method, 0},
		{"(R_ARM).String", Method, 0},
		{"(R_LARCH).GoString", Method, 19},
		{"(R_LARCH).String", Method, 19},

    *   The byte layout for string tensors across the C-API has been updated to
        match TF Core/C++; i.e., a contiguous array of
        `tensorflow::tstring`/`TF_TString`s.
    *   C-API functions `TF_StringDecode`, `TF_StringEncode`, and
        `TF_StringEncodedSize` are no longer relevant and have been removed; see
        `core/platform/ctstring.h` for string access/modification in C.

def TF_ReduceJoinOp : TF_Op<"ReduceJoin", [Pure]> {
  let summary = "Joins a string Tensor across the given dimensions.";

  let description = [{
Computes the string join across dimensions in the given string Tensor of shape
`[\\(d_0, d_1, ..., d_{n-1}\\)]`.  Returns a new Tensor created by joining the input
strings with the given separator (default: empty string).  Negative indices are