return {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16};
    }
  }];
}

// UnidirectionalSequenceLstm op.
// TODO(ashwinm): Add constraint to validate the combination of operands
// that are valid for hybrid vs fully quantized vs float only semantics
def TFL_UnidirectionalSequenceLSTMOp :
  TFL_Op<"unidirectional_sequence_lstm",
          [LstmMandatoryInputsConstraint,

        "properties": {
          "apiVersion": {

      dot_general_op.getDotDimensionNumbers(),
      mlir::cast<ShapedType>(dot_general_op.getResult().getType()),
      dot_general_op.getLoc());
}

// Replace BinaryOp with a combination of TfBinaryOp and TfReduceOp if the
// init value doesn't match the expectation of TfReduceOp.
template <typename TfReduceOp, typename TfBinOp>
LogicalResult rewriteNonMatchInitValue(mhlo::ReduceOp reduce_op, Value input,

        "properties": {
          "apiVersion": {

            "type": "string"
          },
          "type": "array"
        },
        "wwids": {
          "description": "Optional: FC volume world wide identifiers (wwids) Either wwids or combination of targetWWNs and lun must be set, but not both simultaneously.",
          "items": {
            "type": "string"
          },
          "type": "array"
        }
      },
      "type": "object"

            "type": "string"
          },
          "key": {
            "description": "Key is the taint key that the toleration applies to. Empty means match all taint keys. If the key is empty, operator must be Exists; this combination means to match all values and all keys.",
            "type": "string"
          },
          "operator": {

      new_arg_type = tensorflow::GetTypeFromTFTensorShape(
          new_shape, element_type,
          mhlo::TypeExtensionsAttr::get(context, new_bounds));
    }
  }
  return new_arg_type;
}

// Combination of value producer and port of value produced (e.g.,
//   <value result output>:<value in output tensor>,
// so for tf.Const -> tensor<10x20xf32>, [0,2,18] would point to a unique output
// scalar value).
struct ValuePort {

      // We do not handle the other element of this tuple, which corresponds to
      // Python kwonlyargs, since currently TensorFlow prohibits this in
      // combination with input_signature:
      // https://github.com/tensorflow/tensorflow/blob/8cb8627abb5ef83a6fba34f8fd0e4ee430562eb1/tensorflow/python/eager/function.py#L2027-L2030

			return op
		}
	}

	// Cannot find a case; abort.
	s := ""
	for _, a := range args {
		s += fmt.Sprintf(" %v", DRconv(int(a)))
	}
	c.ctxt.Diag("illegal combination %v%v\n", p.As, s)
	c.ctxt.Diag("prog: %v\n", p)
	return nil
}

func cmp(a int, b int) bool {
	if a == b {
		return true
	}
	switch a {
	case C_DCON:
		if b == C_LCON {
			return true

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