manual merge, add test

src/onnx/onnx.cpp

@@ -313,7 +313,11 @@ struct onnx_parser
         {
             if(contains(attributes, "auto_pad"))
             {
-                MIGRAPHX_THROW("auto_pad and padding cannot be specified simultaneously");
+                auto s = attributes["auto_pad"].s();
+                if(contains(attributes, "pads") and to_upper(s) != "NOTSET")
+                {
+                    MIGRAPHX_THROW("auto_pad and padding cannot be specified simultaneously");
+                }
             }
             std::vector<std::int64_t> padding;
             copy(attributes["pads"].ints(), std::back_inserter(padding));

test/onnx/gen_onnx.py

@@ -502,6 +502,31 @@ def const_of_shape_no_value_attr_test():
     model_def = helper.make_model(graph_def, producer_name='constant-of-shape')
     onnx.save(model_def, 'const_of_shape_no_value_attr_test.onnx')
 
+def conv_autopad_fail_test():
+    x = helper.make_tensor_value_info('0', TensorProto.FLOAT, [1, 3, 32, 32])
+    y = helper.make_tensor_value_info('1', TensorProto.FLOAT, [1, 3, 1, 1])
+    out = helper.make_tensor_value_info('2', TensorProto.FLOAT, [1, 1, 34, 34])
+
+    node = onnx.helper.make_node(
+        'Conv',
+        inputs=['0', '1'],
+        outputs=['2'],
+        dilations = [1, 1], 
+        strides = [1, 1],
+        auto_pad = 'SAME',
+        pads = [0,0,1,1,0,0,1,1]
+    )
+
+    graph_def = helper.make_graph(
+        [node],
+        'test_conv',
+        [x, y],
+        [out],
+    )
+
+    model_def = helper.make_model(graph_def, producer_name='conv-example')
+    onnx.save(model_def, 'conv_autopad_fail_test.onnx')
+
 def conv_bias_test():
     x = helper.make_tensor_value_info('0', TensorProto.FLOAT, [1, 3, 32, 32])
     y = helper.make_tensor_value_info('1', TensorProto.FLOAT, [1, 3, 5, 5])

test/onnx/onnx_test.cpp

@@ -228,6 +228,11 @@ TEST_CASE(const_of_shape_no_value_attr_test)
     EXPECT(p == prog);
 }
 
+TEST_CASE(conv_autopad_fail_test)
+{
+    EXPECT(test::throws([&] { migraphx::parse_onnx("conv_autopad_fail_test.onnx"); }));
+}
+
 TEST_CASE(conv_bias_test)
 {
     migraphx::program p;