failed(AddIntAttr(func, attrs, "num_classes", &fbb)) ||
      failed(AddFloatAttr(func, attrs, "nms_score_threshold", &fbb)) ||
      failed(AddFloatAttr(func, attrs, "nms_iou_threshold", &fbb)) ||
      failed(AddFloatAttr(func, attrs, "y_scale", &fbb)) ||
      failed(AddFloatAttr(func, attrs, "x_scale", &fbb)) ||
      failed(AddFloatAttr(func, attrs, "h_scale", &fbb)) ||

    "'h_scale' type: 'float'} attr : { name: 'max_classes_per_detection' "
    "type: 'int'} attr : { name: 'max_detections' type: 'int'} attr : { "
    "name: 'nms_iou_threshold' type: 'float'} attr : { name: "
    "'nms_score_threshold' type: 'float'} attr : { name: 'num_classes' type: "
    "'int'} attr : { name: 'w_scale' type: 'float'} attr : { name: 'x_scale' "

  %0 = "tf.Const"() {value = dense<0.0> : tensor<f32>} : () -> tensor<f32>

{_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 = false, w_scale = 5.000000e+00 : f32, x_scale = 1.000000e+01 : f32, y_scale = 1.000000e+01 : f32} : (tensor<1x64x64x32xf32>, tensor<1x64x64x32xf32>,...