[ONNX] Enable Pad operator and batch normalization non-spatial mode (#2078)

* ONNX Pad operator

* Disable Batch Norm is spatial checking

* Remove unused variable

src/ngraph/frontend/onnx_import/CMakeLists.txt

@@ -102,6 +102,8 @@ add_library(onnx_import STATIC
         op/neg.hpp
         op/not.hpp
         op/or.hpp
+        op/pad.cpp
+        op/pad.hpp
         op/pow.hpp
         op/prelu.cpp
         op/prelu.hpp

src/ngraph/frontend/onnx_import/op/batch_norm.cpp

@@ -40,13 +40,11 @@ namespace ngraph
                     std::shared_ptr<ngraph::Node> var{nullptr};
 
                     std::int64_t is_test{node.get_attribute_value<std::int64_t>("is_test", 1)};
-                    std::int64_t spatial{node.get_attribute_value<std::int64_t>("spatial", 1)};
                     double epsilon{node.get_attribute_value<double>("epsilon", 1e-5)};
 
                     // TODO: Implement learning mode support
                     // float momentum{node.get_attribute_value<float>("momentum", 0.9f)};
                     ASSERT_IS_SUPPORTED(node, is_test) << "only 'is_test' mode is supported.";
-                    ASSERT_IS_SUPPORTED(node, spatial) << "only 'spatial' mode is supported.";
 
                     if (inputs.size() >= 5)
                     {

src/ngraph/frontend/onnx_import/op/pad.cpp

+//*****************************************************************************
+// Copyright 2017-2018 Intel Corporation
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//*****************************************************************************
+
+#include <memory>
+
+#include "ngraph/coordinate_diff.hpp"
+#include "ngraph/frontend/onnx_import/op/pad.hpp"
+#include "ngraph/frontend/onnx_import/utils/convpool.hpp"
+#include "ngraph/op/constant.hpp"
+#include "ngraph/op/pad.hpp"
+#include "ngraph/shape.hpp"
+
+namespace ngraph
+{
+    namespace onnx_import
+    {
+        namespace op
+        {
+            namespace set_1
+            {
+                NodeVector pad(const Node& node)
+                {
+                    auto data = node.get_ng_inputs().at(0);
+                    const Shape& data_shape = data->get_shape();
+
+                    double value = node.get_attribute_value<double>("value", 0);
+
+                    auto paddings = convpool::get_pads(node, data_shape);
+                    ngraph::CoordinateDiff padding_below = paddings.first;
+                    ngraph::CoordinateDiff padding_above = paddings.second;
+
+                    return {std::make_shared<ngraph::op::Pad>(
+                        data,
+                        std::make_shared<ngraph::op::Constant>(
+                            data->get_element_type(), ngraph::Shape{}, std::vector<double>{value}),
+                        Shape(padding_below.begin(), padding_below.end()),
+                        Shape(padding_above.begin(), padding_above.end()),
+                        Shape(data_shape.size(), 0))};
+                }
+
+            } // namespace set_1
+
+        } //namespace op
+
+    } // namespace onnx_import
+
+} // namespace ngraph

src/ngraph/frontend/onnx_import/op/pad.hpp

+//*****************************************************************************
+// Copyright 2017-2018 Intel Corporation
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//*****************************************************************************
+
+#pragma once
+
+#include "ngraph/frontend/onnx_import/core/node.hpp"
+#include "ngraph/node_vector.hpp"
+
+namespace ngraph
+{
+    namespace onnx_import
+    {
+        namespace op
+        {
+            namespace set_1
+            {
+                NodeVector pad(const Node& node);
+
+            } // namespace set_1
+
+        } //namespace op
+
+    } // namespace onnx_import
+
+} // namespace ngraph

src/ngraph/frontend/onnx_import/ops_bridge.cpp

@@ -66,6 +66,8 @@
 #include "op/neg.hpp"
 #include "op/not.hpp"
 #include "op/or.hpp"
+#include "op/pad.cpp"
+#include "op/pad.hpp"
 #include "op/pow.hpp"
 #include "op/prelu.hpp"
 #include "op/reciprocal.hpp"
@@ -195,6 +197,7 @@ namespace ngraph
             REGISTER_OPERATOR("Neg", 1, neg);
             REGISTER_OPERATOR("Not", 1, logical_not);
             REGISTER_OPERATOR("Or", 1, logical_or);
+            REGISTER_OPERATOR("Pad", 1, pad);
             REGISTER_OPERATOR("Pow", 1, pow);
             REGISTER_OPERATOR("PRelu", 1, prelu);
             REGISTER_OPERATOR("Reciprocal", 1, reciprocal);