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

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.Collections.Generic;

using static Tensorflow.Binding;

namespace Tensorflow

{

public class random_seed

{

private static int DEFAULT_GRAPH_SEED = 87654321;

private static Dictionary<string, int> _graph_to_seed_dict = new Dictionary<string, int>();

public static (int?, int?) get_seed(int? op_seed = null)

{

int? global_seed;

if (tf.executing_eagerly())

global_seed = tf.Context.global_seed();

else

global_seed = ops.get_default_graph().seed;

if (global_seed.HasValue)

{

if (!op_seed.HasValue)

if (tf.executing_eagerly())

op_seed = tf.Context.internal_operation_seed();

else

{

if (!_graph_to_seed_dict.TryGetValue(ops.get_default_graph().graph_key, out int seed))

seed = 0;

_graph_to_seed_dict[ops.get_default_graph().graph_key] = seed + 1;

op_seed = seed;

}

return (global_seed, op_seed);

}

if (op_seed.HasValue)

return (DEFAULT_GRAPH_SEED, op_seed);

else

return (null, null);

}

public static (Tensor, Tensor) get_seed_tensor(int? op_seed = null)

{

var (seed, seed2) = get_seed(op_seed);

Tensor _seed, _seed2;

if (seed is null)

_seed = constant_op.constant(0, dtype: TF_DataType.TF_INT64, name: "seed");

else

_seed = constant_op.constant(seed.Value, dtype: TF_DataType.TF_INT64, name: "seed");

if (seed2 is null)

_seed2 = constant_op.constant(0, dtype: TF_DataType.TF_INT64, name: "seed2");

else

{

_seed2 = tf_with(ops.name_scope("seed2"), scope =>

{

_seed2 = constant_op.constant(seed2.Value, dtype: TF_DataType.TF_INT64);

return array_ops.where_v2(

math_ops.logical_and(

math_ops.equal(_seed, 0l), math_ops.equal(_seed2, 0l)),

constant_op.constant(2^31 - 1, dtype: dtypes.int64),

_seed2,

name: scope);

});

}

return (_seed, _seed2);

}

}

}