add split transpose optimizer tests

Signed-off-by: Deyu Huang <[email protected]>
Co-authored-by: Jay Zhang <[email protected]>

tests/test_optimizers.py

@@ -116,6 +116,32 @@ def test_transpose_with_concat(self, input_shape, perm, inner_perm):
                          }
             self.run_transpose_compare(["res"], feed_dict, model_proto, remaining_transpose_num=1)
 
+    @parameterized.expand([
+        ((2, 3, 4, 5), [0, 3, 1, 2], [0, 2, 3, 1]),
+        ((2, 3, 4, 5, 6), [0, 4, 1, 2, 3], [0, 2, 3, 4, 1]),
+        ((2, 3, 4, 5, 6), [0, 2, 3, 4, 1], [0, 4, 1, 2, 3]),
+    ])
+    def test_transpose_with_split(self, input_shape, perm, inner_perm):
+        input_shape_with_trans = [input_shape[i] for i in perm]
+        for axis in range(len(input_shape)):
+            output_before_trans = list(input_shape)
+            output_shape = [output_before_trans[i] for i in perm]
+            node1 = helper.make_node("Transpose", ["X"], ["Y"], perm=inner_perm, name="trans1")
+            node2 = helper.make_node("Split", ["Y"], ["Z"], axis=axis, name="split")
+            node3 = helper.make_node("Transpose", ["Z"], ["res"], perm=perm, name="trans2")
+
+            graph = helper.make_graph(
+                [node1, node2, node3],
+                "test_transpose_with_split",
+                [helper.make_tensor_value_info("X", TensorProto.INT64, input_shape_with_trans)],
+                [helper.make_tensor_value_info("res", TensorProto.INT64, output_shape)],
+            )
+
+            model_proto = self.make_model(graph, producer_name="onnx-tests")
+
+            feed_dict = {"X": np.random.randn(*input_shape_with_trans).astype(np.int64)}
+            self.run_transpose_compare(["res"], feed_dict, model_proto, remaining_transpose_num=0)
+
     @parameterized.expand([
         ((2, 3, 4), [2, 0, 1], [1, 2, 0]),
         ((2, 3, 4, 5), [0, 2, 3, 1], [0, 3, 1, 2]),