add unit32 unit64 type support

Author: hwangdeyu

tests/test_backend.py

@@ -2278,6 +2278,12 @@ def func(x):
             return tf.identity(x_, name=_TFOUTPUT)
         self._run_test_case(func, [_OUTPUT], {_INPUT: x_val})
 
+        x_val = np.array([1, 2, 3, 4], dtype=np.uint32).reshape((2, 2))
+        def func(x):
+            x_ = tf.cast(x, tf.uint64)
+            return tf.identity(x_, name=_TFOUTPUT)
+        self._run_test_case(func, [_OUTPUT], {_INPUT: x_val})
+
     @check_opset_min_version(7, "sign")
     def test_sign(self):
         x_vals = [np.array([1.0, 2.0, 0.0, -1.0, 0.0, -2.0], dtype=np.float32).reshape((2, 3)),

tf2onnx/tf_utils.py

@@ -34,6 +34,8 @@
     types_pb2.DT_INT8: onnx_pb.TensorProto.INT8,
     types_pb2.DT_UINT8: onnx_pb.TensorProto.UINT8,
     types_pb2.DT_UINT16: onnx_pb.TensorProto.UINT16,
+    types_pb2.DT_UINT32: onnx_pb.TensorProto.UINT32,
+    types_pb2.DT_UINT64: onnx_pb.TensorProto.UINT64,
     types_pb2.DT_INT64: onnx_pb.TensorProto.INT64,
     types_pb2.DT_STRING: onnx_pb.TensorProto.STRING,
     types_pb2.DT_COMPLEX64: onnx_pb.TensorProto.COMPLEX64,

tf2onnx/utils.py

@@ -38,6 +38,8 @@
     onnx_pb.TensorProto.INT8: np.int8,
     onnx_pb.TensorProto.UINT8: np.uint8,
     onnx_pb.TensorProto.UINT16: np.uint16,
+    onnx_pb.TensorProto.UINT32: np.uint32,
+    onnx_pb.TensorProto.UINT64: np.uint64,
     onnx_pb.TensorProto.INT64: np.int64,
     onnx_pb.TensorProto.UINT64: np.uint64,
     onnx_pb.TensorProto.BOOL: np.bool,
@@ -58,6 +60,8 @@
     onnx_pb.TensorProto.INT8: "int8",
     onnx_pb.TensorProto.UINT8: "uint8",
     onnx_pb.TensorProto.UINT16: "uint16",
+    onnx_pb.TensorProto.UINT32: "uint32",
+    onnx_pb.TensorProto.UINT64: "uint64",
     onnx_pb.TensorProto.INT64: "int64",
     onnx_pb.TensorProto.STRING: "string",
     onnx_pb.TensorProto.BOOL: "bool",