// safe.
    if (auto tensor_array_v3_op = dyn_cast<TF::TensorArrayV3Op>(tf_op)) {
      // The "flow" in TensorArrayV3 is always a scalar float tensor.
      // https://www.tensorflow.org/api_docs/python/tf/raw_ops/TensorArrayWriteV3
      Value flow = tensor_array_v3_op.getFlow();
      Type scalar_f32_tensor_type =
          RankedTensorType::get(/*shape=*/{}, rewriter.getF32Type());
      flow.setType(scalar_f32_tensor_type);

		}

		loc := fmt.Sprintf("%s%s.rules:%d", arch.name, suff, ruleLineno)
		for _, rule2 := range expandOr(rule) {
			r := Rule{Rule: rule2, Loc: loc}
			if rawop := strings.Split(rule2, " ")[0][1:]; isBlock(rawop, arch) {
				blockrules[rawop] = append(blockrules[rawop], r)
				continue
			}
			// Do fancier value op matching.
			match, _, _ := r.parse()
			op, oparch, _, _, _, _ := parseValue(match, arch, loc)