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

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 Tensorflow.Operations.Initializers;

namespace Tensorflow

{

public static partial class tf

{

public static IInitializer zeros_initializer => new Zeros();

public static IInitializer ones_initializer => new Ones();

public static IInitializer glorot_uniform_initializer => new GlorotUniform();

public static IInitializer uniform_initializer => new RandomUniform();

public static variable_scope variable_scope(string name,

string default_name = null,

Tensor[] values = null,

bool? reuse = null,

bool auxiliary_name_scope = true) => new variable_scope(name,

default_name,

values,

reuse: reuse,

auxiliary_name_scope: auxiliary_name_scope);

public static variable_scope variable_scope(VariableScope scope,

string default_name = null,

Tensor[] values = null,

bool? reuse = null,

bool auxiliary_name_scope = true) => new variable_scope(scope,

default_name,

values,

reuse: reuse,

auxiliary_name_scope: auxiliary_name_scope);

public static IInitializer truncated_normal_initializer(float mean = 0.0f,

float stddev = 1.0f,

int? seed = null,

TF_DataType dtype = TF_DataType.DtInvalid) => new TruncatedNormal(mean: mean,

stddev: stddev,

seed: seed,

dtype: dtype);

}

}