fix pylint

Author: pengwa

tests/test_backend.py

@@ -1540,6 +1540,7 @@ def test_sparse_softmax_cross_entropy_with_logits_large_class(self):
 
         self._run_test_case([_OUTPUT], {_INPUT: label_val, _INPUT1: logits_val})
 
+    @unittest.skipIf(BACKEND in ["onnxruntime"], "onnxruntime Slice did not supported BOOL.")
     def test_matrix_band_part(self):
         input_val = np.random.randint(0, 666, (10, 15)).astype(np.int32)
         input_x = tf.placeholder(dtype=tf.int32, shape=[None, None], name=_TFINPUT)
@@ -1549,6 +1550,7 @@ def test_matrix_band_part(self):
         _ = tf.identity(res1, name=_TFOUTPUT1)
         self._run_test_case([_OUTPUT, _OUTPUT1], {_INPUT: input_val})
 
+    @unittest.skipIf(BACKEND in ["onnxruntime"], "onnxruntime Slice did not supported BOOL.")
     def test_matrix_band_part_2(self):
         input_val = np.random.randint(0, 666, (1, 1)).astype(np.int32)
         input_x = tf.placeholder(dtype=tf.int32, shape=[None, None], name=_TFINPUT)

tf2onnx/tfonnx.py

@@ -2263,7 +2263,7 @@ def rewrite_incomplete_type_support(g, ops, impacted_ops):
                 input_name = op.input[i]
                 dtype = g.get_dtype(input_name)
                 if dtype is None:
-                    log.warning("For %s (type is %s)' input: %s, its dtype should not be None if we need add Cast for it.",
+                    log.warning("Adding Cast for op %s (type is %s)' input: %s, dtype should not be None",
                                 op.name, op.type, input_name)
 
                 if dtype != onnx_pb.TensorProto.FLOAT: