using System;

using System.Collections.Generic;

using System.Linq;

using System.Text;

namespace Tensorflow

{

public class variables

{

/// <summary>

/// Returns all variables created with `trainable=True`

/// </summary>

/// <returns></returns>

public static object trainable_variables()

{

return ops.get_collection(ops.GraphKeys.TRAINABLE_VARIABLES);

}

/// <summary>

/// Returns all variables and `SaveableObject`s that must be checkpointed.

/// </summary>

/// <param name="scope"></param>

/// <returns></returns>

public static VariableV1[] _all_saveable_objects(string scope = "")

{

var all = new List<VariableV1>();

var collection = ops.get_collection(ops.GraphKeys.GLOBAL_VARIABLES, scope);

if(collection != null)

all.AddRange(collection as List<VariableV1>);

collection = ops.get_collection(ops.GraphKeys.SAVEABLE_OBJECTS, scope);

if (collection != null)

all.AddRange(collection as List<VariableV1>);

return all.ToArray();

}

/// <summary>

/// Returns global variables.

/// </summary>

/// <param name="scope">

/// (Optional.) A string. If supplied, the resulting list is filtered

/// to include only items whose `name` attribute matches `scope` using

/// `re.match`. Items without a `name` attribute are never returned if a

/// scope is supplied. The choice of `re.match` means that a `scope` without

/// special tokens filters by prefix.

/// </param>

/// <returns>A list of `Variable` objects.</returns>

public static List<VariableV1> global_variables(string scope = null)

{

var result = ops.get_collection(ops.GraphKeys.GLOBAL_VARIABLES, scope);

return result == null ? new List<VariableV1>() : result as List<VariableV1>;

}

/// <summary>

/// Returns an Op that initializes a list of variables.

/// </summary>

/// <param name="var_list">List of `Variable` objects to initialize.</param>

/// <param name="name">Optional name for the returned operation.</param>

/// <returns>An Op that run the initializers of all the specified variables.</returns>

public static Operation variables_initializer(VariableV1[] var_list, string name = "init")

{

if (var_list.Length > 0)

return control_flow_ops.group(var_list.Select(x => x.initializer).ToArray(), name);

else

return gen_control_flow_ops.no_op(name: name);

}

public static Tensor global_variables_initializer()

{

throw new NotImplementedException();

}

}

}