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

using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
using System.Text;
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")
        {
            Operation op = null;
            AddOpHelper(l, r, graph, s, name, ref op, true);
            return op;
        }

        public static void AddOpHelper(Operation l, Operation r, Graph graph, Status s, string name, ref Operation op, bool check)
        {
            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);

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

        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.Data);
            buffer.Dispose();
            return s.Code == TF_Code.TF_OK;
        }

        public static bool GetNodeDef(Operation oper, ref NodeDef node_def)
        {
            var s = new Status();
            var buffer = new Buffer();
            c_api.TF_OperationToNodeDef(oper, buffer, s);

            return s.Code == TF_Code.TF_OK;
        }

        public static void PlaceholderHelper(Graph graph, Status s, string name, TF_DataType dtype, long[] dims, ref Operation op)
        {
            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);
            }
            op = c_api.TF_FinishOperation(desc, s);
            s.Check();
        }

        public static Operation Placeholder(Graph graph, Status s, string name = "feed", TF_DataType dtype = TF_DataType.TF_INT32, long[] dims = null)
        {
            Operation op = null;
            PlaceholderHelper(graph, s, name, dtype, dims, ref op);
            return op;
        }

        public static void ConstHelper(Tensor t, Graph graph, Status s, string name, ref Operation op)
        {
            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);
            op = c_api.TF_FinishOperation(desc, s);
            s.Check();
        }

        public static Operation Const(Tensor t, Graph graph, Status s, string name)
        {
            Operation op = null;
            ConstHelper(t, graph, s, name, ref op);
            return op;
        }

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