TensorFlow.NET/test/TensorFlowNET.UnitTest/c_test_util.cs

using Tensorflow;
using Buffer = Tensorflow.Buffer;

namespace TensorFlowNET.UnitTest
{
    /// <summary>
    /// Port from `tensorflow\c\c_test_util.cc`
    /// </summary>
    public static class c_test_util
    {
        public static Operation Add(Operation l, Operation r, Graph graph, Status s, string name = "add")
        {
            var desc = c_api.TF_NewOperation(graph, "AddN", name);

            var inputs = new TF_Output[]
            {
                new TF_Output(l, 0),
                new TF_Output(r, 0),
            };

            c_api.TF_AddInputList(desc, inputs, inputs.Length);

            var op = c_api.TF_FinishOperation(desc, s);
            s.Check();

            return op;
        }

        public static bool GetAttrValue(Operation oper, string attr_name, ref AttrValue attr_value, Status s)
        {
            var buffer = new Buffer();
            c_api.TF_OperationGetAttrValueProto(oper, attr_name, buffer, s);
            attr_value = AttrValue.Parser.ParseFrom(buffer);
            buffer.Dispose();
            return s.Code == TF_Code.TF_OK;
        }

        public static GraphDef GetGraphDef(Graph graph)
        {
            var s = new Status();
            var buffer = new Buffer();
            c_api.TF_GraphToGraphDef(graph, buffer, s);
            s.Check();
            var def = GraphDef.Parser.ParseFrom(buffer);
            buffer.Dispose();
            s.Dispose();
            return def;
        }

        public static bool IsAddN(NodeDef node_def, int n)
        {
            if (node_def.Op != "AddN" || node_def.Name != "add" ||
                node_def.Input.Count != n)
            {
                return false;
            }
            bool found_t = false;
            bool found_n = false;
            foreach (var attr in node_def.Attr)
            {
                if (attr.Key == "T")
                {
                    if (attr.Value.Type == DataType.DtInt32)
                    {
                        found_t = true;
                    }
                    else
                    {
                        return false;
                    }
                }
                else if (attr.Key == "N")
                {
                    if (attr.Value.I == n)
                    {
                        found_n = true;
                    }
                    else
                    {
                        return false;
                    }
                }
            }

            return found_t && found_n;
        }

        public static bool IsNeg(NodeDef node_def, string input)
        {
            return node_def.Op == "Neg" && node_def.Name == "neg" &&
                node_def.Input.Count == 1 && node_def.Input[0] == input;
        }

        public static bool IsPlaceholder(NodeDef node_def)
        {
            if (node_def.Op != "Placeholder" || node_def.Name != "feed")
            {
                return false;
            }

            bool found_dtype = false;
            bool found_shape = false;
            foreach (var attr in node_def.Attr)
            {
                if (attr.Key == "dtype")
                {
                    if (attr.Value.Type == DataType.DtInt32)
                    {
                        found_dtype = true;
                    }
                    else
                    {
                        return false;
                    }
                }
                else if (attr.Key == "shape")
                {
                    found_shape = true;
                }
            }

            return found_dtype && found_shape;
        }

        public static bool IsScalarConst(NodeDef node_def, int v)
        {
            if (node_def.Op != "Const" || node_def.Name != "scalar")
            {
                return false;
            }
            bool found_dtype = false;
            bool found_value = false;
            foreach (var attr in node_def.Attr) {
                if (attr.Key == "dtype")
                {
                    if (attr.Value.Type == DataType.DtInt32)
                    {
                        found_dtype = true;
                    }
                    else
                    {
                        return false;
                    }
                }
                else if (attr.Key == "value")
                {
                    if (attr.Value.Tensor != null &&
                        attr.Value.Tensor.IntVal.Count == 1 &&
                        attr.Value.Tensor.IntVal[0] == v)
                    {
                        found_value = true;
                    }
                    else
                    {
                        return false;
                    }
                }
            }
            return found_dtype && found_value;
        }

        public static Operation Neg(Operation n, Graph graph, Status s, string name = "neg")
        {
            OperationDescription desc = c_api.TF_NewOperation(graph, "Neg", name);
            var neg_input = new TF_Output(n, 0);
            c_api.TF_AddInput(desc, neg_input);
            var op = c_api.TF_FinishOperation(desc, s);
            s.Check();

            return op;
        }

        public static Operation Placeholder(Graph graph, Status s, string name = "feed", TF_DataType dtype = TF_DataType.TF_INT32, long[] dims = null)
        {
            var desc = c_api.TF_NewOperation(graph, "Placeholder", name);
            c_api.TF_SetAttrType(desc, "dtype", dtype);
            if (dims != null)
            {
                c_api.TF_SetAttrShape(desc, "shape", dims, dims.Length);
            }
            var op = c_api.TF_FinishOperation(desc, s);
            s.Check();

            return op;
        }

        public static Operation Const(Tensor t, Graph graph, Status s, string name)
        {
            var desc = c_api.TF_NewOperation(graph, "Const", name);
            c_api.TF_SetAttrTensor(desc, "value", t, s);
            s.Check();
            c_api.TF_SetAttrType(desc, "dtype", t.dtype);
            var op = c_api.TF_FinishOperation(desc, s);
            s.Check();

            return op;
        }

        public static Operation ScalarConst(int v, Graph graph, Status s, string name = "scalar")
        {
            return Const(new Tensor(v), graph, s, name);
        }
    }
}