"'int'} attr : { name: 'w_scale' type: 'float'} attr : { name: 'x_scale' "
    "type: 'float'} attr : { name: 'y_scale' type: 'float'} attr { name: "
    "'detections_per_class' type: 'int' default_value { i : 100 }} attr { "
    "name: 'use_regular_nms' type: 'bool' default_value { b : false }}";

constexpr mlir::StringRef kUnidirectionalSequenceLstmOp =

    %4, %5, %6, %7 = "tf.TFLite_Detection_PostProcess"(%a0, %a1, %a2) {_output_quantized = true, _output_types = [f32, f32, f32, f32], _support_output_type_float_in_quantized_op = true, detections_per_class = 100 : i64, device = "", h_scale = 5.000000e+00 : f32, max_classes_per_detection = 1 : i64, max_detections = 20 : i64, nms_iou_threshold = 6.000000e-01 : f32, nms_score_threshold = 3.000000e-01 : f32, num_classes = 90 : i64, use_regular_nms...