/*****************************************************************************

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;

using System.Collections.Generic;

namespace Tensorflow

{

/// <summary>

/// A variable maintains state in the graph across calls to `run()`. You add a

/// variable to the graph by constructing an instance of the class `Variable`.

///

/// The `Variable()` constructor requires an initial value for the variable,

/// which can be a `Tensor` of any type and shape. The initial value defines the

/// type and shape of the variable. After construction, the type and shape of

/// the variable are fixed. The value can be changed using one of the assign methods.

/// https://tensorflow.org/guide/variables

/// </summary>

public abstract class VariableV1

{

protected string _name;

public virtual string name { get; }

public virtual Tensor graph_element { get; }

public virtual Operation op { get; }

public virtual Operation initializer { get; }

public Tensor _variable;

protected string _graph_key;

public Graph graph => _variable.graph;

public Tensor _is_initialized_op { get; set; }

protected TF_DataType _dtype;

public TF_DataType dtype => _dtype;

public VariableV1()

{

}

public virtual Tensor eval()

{

throw new NotImplementedException("");

}

public virtual BaseResourceVariable assign(object value, bool use_locking = false, string name = null, bool read_value = true)

{

throw new NotImplementedException("");

/*var assign = gen_state_ops.assign(_variable, value, use_locking: use_locking, name: name);

if (read_value)

return assign;

return assign.op;*/

}

}

}