Use v1::Reshape in ONNX GlobalLpPool (#4090)

Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

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

@@ -24,9 +24,6 @@
 #include "ngraph/axis_set.hpp"
 #include "ngraph/builder/norm.hpp"
 #include "ngraph/builder/split.hpp"
-#include "ngraph/op/concat.hpp"
-#include "ngraph/op/reshape.hpp"
-#include "ngraph/opsets/opset0.hpp"
 #include "ngraph/util.hpp"
 #include "utils/common.hpp"
 
@@ -40,10 +37,10 @@ namespace ngraph
             {
                 NodeVector global_lp_pool(const Node& node)
                 {
-                    std::shared_ptr<ngraph::Node> data{node.get_ng_inputs().at(0)};
-                    std::size_t channel_axis{1};
-                    std::size_t channels_count = data->get_shape().at(channel_axis);
-                    std::int64_t p_norm{node.get_attribute_value<std::int64_t>("p", 2)};
+                    const std::shared_ptr<ngraph::Node> data{node.get_ng_inputs().at(0)};
+                    const std::size_t channel_axis{1};
+                    const std::size_t channels_count = data->get_shape().at(channel_axis);
+                    const std::int64_t p_norm{node.get_attribute_value<std::int64_t>("p", 2)};
 
                     ASSERT_VALID_ARGUMENT(node, p_norm >= 0)
                         << "Only positive (including zero) values are supported for 'p' attribute.";
@@ -63,10 +60,12 @@ namespace ngraph
                         // output shape is all ones except N channel
                         Shape output_shape(orig_shape.size(), 1);
                         output_shape.at(0) = orig_shape.at(0);
-                        slice = std::make_shared<ngraph::opset0::Reshape>(
-                            slice,
-                            ngraph::get_default_order(slice->get_shape().size()),
-                            output_shape);
+
+                        const auto reshape_pattern = default_opset::Constant::create(
+                            element::i64, Shape{output_shape.size()}, output_shape);
+
+                        slice =
+                            std::make_shared<default_opset::Reshape>(slice, reshape_pattern, false);
                     }
 
                     return {std::make_shared<default_opset::Concat>(slices, channel_axis)};