[ONNX] Use v1 ops in Convolution operator. (#4123)

* Return v1::Reshape in builder::reshape function.

* Use default_opset in ONNX Convolution operators.

* Revert builder::reshape to return v0 op.

* Remove unused code.

* Update year in license header.

* Remove AutoBroadcastSpec arg and use default value.
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

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

@@ -131,11 +131,12 @@ namespace ngraph
                     auto bias = inputs.at(2);
                     const Shape& new_shape = conv_node->get_shape();
 
-                    auto broadcasted_bias = std::make_shared<ngraph::opset0::Broadcast>(
+                    auto broadcasted_bias = std::make_shared<default_opset::Broadcast>(
                         bias,
-                        new_shape,
-                        ngraph::op::calculate_broadcast_axes(new_shape, bias->get_shape(), 1));
-                    return {std::make_shared<ngraph::opset0::Add>(conv_node, broadcasted_bias)};
+                        default_opset::Constant::create(
+                            element::i64, Shape{new_shape.size()}, new_shape),
+                        default_opset::Constant::create(element::i64, Shape{1}, {1}));
+                    return {std::make_shared<default_opset::Add>(conv_node, broadcasted_bias)};
                 }
 
             } // namespace set_1

test/opset_pass/reduction_opset_pass.cpp

 //*****************************************************************************
-// Copyright 2017-2019 Intel Corporation
+// Copyright 2017-2020 Intel Corporation
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.