/*****************************************************************************
   Copyright 2018 The TensorFlow.NET Authors. All Rights Reserved.

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.
******************************************************************************/

using System.Threading;
using Tensorflow.Eager;

namespace Tensorflow
{
    public partial class tensorflow : IObjectLife
    {
        protected internal readonly ThreadLocal<Session> _defaultSessionFactory;

        public TF_DataType @byte = TF_DataType.TF_UINT8;
        public TF_DataType @sbyte = TF_DataType.TF_INT8;
        public TF_DataType int16 = TF_DataType.TF_INT16;
        public TF_DataType int32 = TF_DataType.TF_INT32;
        public TF_DataType int64 = TF_DataType.TF_INT64;
        public TF_DataType float16 = TF_DataType.TF_HALF;
        public TF_DataType float32 = TF_DataType.TF_FLOAT;
        public TF_DataType float64 = TF_DataType.TF_DOUBLE;
        public TF_DataType @bool = TF_DataType.TF_BOOL;
        public TF_DataType chars = TF_DataType.TF_STRING;
        public TF_DataType @string = TF_DataType.TF_STRING;

        public Context context = new Context(new ContextOptions(), new Status());


        public tensorflow()
        {
            _defaultSessionFactory = new ThreadLocal<Session>(() => new Session());
        }

        public Session defaultSession => _defaultSessionFactory.Value;

        public RefVariable Variable<T>(T data,
            bool trainable = true,
            bool validate_shape = true,
            string name = null,
            TF_DataType dtype = TF_DataType.DtInvalid)
        {
            return Tensorflow.variable_scope.default_variable_creator(data,
                trainable: trainable,
                validate_shape: validate_shape,
                name: name,
                dtype: dtype) as RefVariable;
        }

        public VariableV1 VariableV1<T>(T data,
            bool trainable = true,
            bool validate_shape = true,
            string name = null,
            TF_DataType dtype = TF_DataType.DtInvalid,
            bool use_resource = false,
            int[] shape = null)
        {
            return Tensorflow.variable_scope.default_variable_creator(data,
                trainable: trainable,
                validate_shape: validate_shape,
                name: name,
                dtype: dtype,
                use_resource: use_resource,
                shape: shape);
        }

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

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

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

        public Session Session()
        {
            return new Session().as_default();
        }

        public Session Session(Graph graph, SessionOptions opts = null)
        {
            return new Session(graph, opts: opts).as_default();
        }

        public Session Session(SessionOptions opts)
        {
            return new Session(null, opts).as_default();
        }

        public void __init__()
        {
            
        }

        public void __enter__()
        {
            
        }

        public void __exit__()
        {
            
        }

        public void __del__()
        {
            
        }

        public void Dispose()
        {
            
        }
    }
}