added OpDef for Operation

src/TensorFlowNET.Core/Graph.cs

@@ -41,10 +41,13 @@ namespace TensorFlowNET.Core
                 name = op_type;
             }
 
-            name = unique_name(name);
+            name = name.EndsWith("/") ? ops._name_from_scope_name(name) : unique_name(name);
             var node_def = ops._NodeDef(op_type, name, device: "", attrs: attrs);
 
-            var op = new Operation(node_def, this, inputs, dtypes);
+            var op = new Operation(node_def, this,
+                inputs: inputs,
+                output_types: dtypes,
+                op_def: op_def);
 
             return op;
         }

src/TensorFlowNET.Core/OpDefLibrary.cs

@@ -86,8 +86,8 @@ namespace TensorFlowNET.Core
             var op = g.create_op(op_type_name, null, output_types.ToArray(),
                 name: "Placeholder_1/",
                 input_types: new DataType[] { },
-                attrs: null,
-                op_def: null);
+                attrs: attr_protos,
+                op_def: op_def);
 
             return op;
         }

src/TensorFlowNET.Core/Operation.cs

@@ -15,8 +15,9 @@ namespace TensorFlowNET.Core
         public string name;
         private Tensor[] _outputs;
         public Tensor[] outputs => _outputs;
+        public Tensor[] inputs;
 
-        public Operation(NodeDef node_def, Graph g, object inputs = null, TF_DataType[] output_types = null, object control_inputs = null, TF_DataType[] input_types = null, string original_op = "", string op_def = "")
+        public Operation(NodeDef node_def, Graph g, object inputs = null, TF_DataType[] output_types = null, object control_inputs = null, TF_DataType[] input_types = null, string original_op = "", OpDef op_def = null)
         {
             _graph = g;
 
@@ -32,5 +33,24 @@ namespace TensorFlowNET.Core
 
             _graph._add_op(this);
         }
+
+        public object get_attr(string name)
+        {
+            object ret = null;
+
+            var fields = new string[] { "s", "i", "f", "b", "type", "shape", "tensor", "func" };
+
+            switch (name)
+            {
+                case "dtype":
+                    ret = _outputs[0];
+                    break;
+                case "shape":
+                    ret = new TensorShapeProto();
+                    break;
+            }
+
+            return ret;
+        }
     }
 }

src/TensorFlowNET.Core/gen_array_ops.cs

@@ -12,7 +12,13 @@ namespace TensorFlowNET.Core
 
         public static Tensor placeholder(DataType dtype, TensorShape shape = null)
         {
-            var op = _op_def_lib._apply_op_helper("Placeholder", dtype: dtype, shape: shape);
+            var _op = _op_def_lib._apply_op_helper("Placeholder", dtype: dtype, shape: shape);
+            var _result = _op.outputs;
+            var _inputs_flat = _op.inputs;
+            var _attrs = new Dictionary<string, object>();
+
+            _attrs["dtype"] = _op.get_attr("dtype");
+            _attrs["shape"] = _op.get_attr("shape");
 
             return null;
         }

src/TensorFlowNET.Core/ops.cs

@@ -49,6 +49,18 @@ namespace TensorFlowNET.Core
             return node_def;
         }
 
+        public static string _name_from_scope_name(string name)
+        {
+            if (name.EndsWith("/"))
+            {
+                return name.Substring(0, name.Length - 1);
+            }
+            else
+            {
+                return name;
+            }
+        }
+
         public static int uid()
         {
             return 1;