using System;
using System.Collections.Generic;
using System.Text;
using Tensorflow.Eager;

namespace Tensorflow
{
    public static partial class tf
    {
        public static TF_DataType int16 = TF_DataType.TF_INT16;
        public static TF_DataType float16 = TF_DataType.TF_HALF;
        public static TF_DataType float32 = TF_DataType.TF_FLOAT;
        public static TF_DataType float64 = TF_DataType.TF_DOUBLE;
        public static TF_DataType chars = TF_DataType.TF_STRING;

        public static Context context;

        public static Graph g = new Graph();

        public static RefVariable Variable<T>(T data, string name = "", TF_DataType dtype = TF_DataType.DtInvalid)
        {
            return variable_scope.default_variable_creator(data, name: name, dtype: TF_DataType.DtInvalid);
        }

        public static unsafe Tensor placeholder(TF_DataType dtype, TensorShape shape = null)
        {
            return gen_array_ops.placeholder(dtype, shape);
        }

        public static void enable_eager_execution()
        {
            // contex = new Context();
            context.default_execution_mode = Context.EAGER_MODE;
        }

        public static string VERSION => c_api.StringPiece(c_api.TF_Version());

        public static Graph get_default_graph()
        {
            return ops.get_default_graph();
        }

        public static Graph Graph()
        {
            return g;
        }

        public static Session Session()
        {
            return new Session();
        }
    }
}