{"action":"created","comment":{"url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/comments/200969301","pull_request_review_id":135377940,"id":200969301,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIwMDk2OTMwMQ==","diff_hunk":"@@ -0,0 +1,151 @@\n+/*******************************************************************************\n+ * Copyright 2017-2018 Intel Corporation\n+ *\n+ * Licensed under the Apache License, Version 2.0 (the \"License\");\n+ * you may not use this file except in compliance with the License.\n+ * You may obtain a copy of the License at\n+ *\n+ *     http://www.apache.org/licenses/LICENSE-2.0\n+ *\n+ * Unless required by applicable law or agreed to in writing, software\n+ * distributed under the License is distributed on an \"AS IS\" BASIS,\n+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+ * See the License for the specific language governing permissions and\n+ * limitations under the License.\n+ *******************************************************************************/\n+\n+#pragma once\n+\n+#include \"ngraph/except.hpp\"\n+#include \"onnx.pb.h\"\n+#include \"tensor.hpp\"\n+\n+namespace ngraph\n+{\n+    namespace onnx_import\n+    {\n+        // forward declaration\n+        class Graph;\n+\n+        namespace error\n+        {\n+            namespace attribute\n+            {\n+                namespace detail\n+                {\n+                    struct attribute : ngraph_error\n+                    {\n+                        attribute(std::string msg, onnx::AttributeProto_AttributeType type)\n+                            : ngraph_error{std::move(msg) + \": \" +\n+                                           onnx::AttributeProto_AttributeType_Name(type)}\n+                        {\n+                        }\n+                    };\n+\n+                } // namespace detail\n+\n+                struct invalid_data : detail::attribute\n+                {\n+                    explicit invalid_data(onnx::AttributeProto_AttributeType type)\n+                        : attribute{\"invalid attribute type\", type}\n+                    {\n+                    }\n+                };\n+\n+                struct unsupported_type : detail::attribute\n+                {\n+                    explicit unsupported_type(onnx::AttributeProto_AttributeType type)\n+                        : attribute(\"unsupported attribute type\", type)\n+                    {\n+                    }\n+                };\n+\n+            } // namespace attribute\n+\n+        } // namespace error\n+\n+        class Attribute\n+        {\n+        public:\n+            enum class Type\n+            {\n+                undefined = onnx::AttributeProto_AttributeType_UNDEFINED,\n+                float_point = onnx::AttributeProto_AttributeType_FLOAT,\n+                integer = onnx::AttributeProto_AttributeType_INT,\n+                string = onnx::AttributeProto_AttributeType_STRING,\n+                tensor = onnx::AttributeProto_AttributeType_TENSOR,\n+                graph = onnx::AttributeProto_AttributeType_GRAPH,\n+                float_point_array = onnx::AttributeProto_AttributeType_FLOATS,\n+                integer_array = onnx::AttributeProto_AttributeType_INTS,\n+                string_array = onnx::AttributeProto_AttributeType_STRINGS,\n+                tensor_array = onnx::AttributeProto_AttributeType_TENSORS,\n+                graph_array = onnx::AttributeProto_AttributeType_GRAPHS\n+            };\n+\n+            Attribute() = delete;\n+            explicit Attribute(const onnx::AttributeProto& attribute_proto)\n+                : m_attribute_proto{attribute_proto}\n+            {\n+            }\n+\n+            Attribute(Attribute&&) noexcept = default;\n+            Attribute(const Attribute&) = default;\n+\n+            Attribute& operator=(Attribute&&) noexcept = delete;\n+            Attribute& operator=(const Attribute&) = delete;\n+\n+            const std::string& get_name() const { return m_attribute_proto.name(); }\n+            Type get_type() const { return static_cast<Type>(m_attribute_proto.type()); }\n+            bool is_tensor() const { return get_type() == Type::tensor; }\n+            bool is_tensor_array() const { return get_type() == Type::tensor_array; }\n+            bool is_float() const { return get_type() == Type::float_point; }\n+            bool is_float_array() const { return get_type() == Type::float_point_array; }\n+            bool is_integer() const { return get_type() == Type::integer; }\n+            bool is_integer_array() const { return get_type() == Type::integer_array; }\n+            bool is_string() const { return get_type() == Type::string; }\n+            bool is_string_array() const { return get_type() == Type::string_array; }\n+            bool is_graph() const { return get_type() == Type::graph; }\n+            bool is_graph_array() const { return get_type() == Type::graph_array; }\n+            Tensor get_tensor() const { return Tensor{m_attribute_proto.t()}; }\n+            float get_float() const { return m_attribute_proto.f(); }\n+            int64_t get_integer() const { return m_attribute_proto.i(); }\n+            const std::string& get_string() const { return m_attribute_proto.s(); }\n+            Graph get_graph() const;\n+\n+            std::vector<Tensor> get_tensor_array() const\n+            {\n+                return {std::begin(m_attribute_proto.tensors()),\n+                        std::end(m_attribute_proto.tensors())};\n+            }\n+\n+            std::vector<float> get_float_array() const\n+            {\n+                return {std::begin(m_attribute_proto.floats()),\n+                        std::end(m_attribute_proto.floats())};\n+            }\n+\n+            std::vector<int64_t> get_integer_array() const\n+            {\n+                return {std::begin(m_attribute_proto.ints()), std::end(m_attribute_proto.ints())};\n+            }\n+\n+            std::vector<std::string> get_string_array() const\n+            {\n+                return {std::begin(m_attribute_proto.strings()),\n+                        std::end(m_attribute_proto.strings())};\n+            }\n+\n+            std::vector<Graph> get_graph_array() const;\n+\n+            /* explicit */ operator onnx::AttributeProto_AttributeType() 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Please take a 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