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TensorFlow.NET/src/TensorFlowNET.Core/APIs/tf.variable.cs at master · feelsyt/TensorFlow.NET · GitHub
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TensorFlow.NET
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src
/
TensorFlowNET.Core
/
APIs
/
tf.variable.cs
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TensorFlow.NET
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src
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TensorFlowNET.Core
/
APIs
/
tf.variable.cs
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/*****************************************************************************
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
partial
class
tensorflow
{
public
IVariableV1
[
]
global_variables
(
string
scope
=
null
)
{
return
(
ops
.
get_collection
(
tf
.
GraphKeys
.
GLOBAL_VARIABLES
,
scope
)
as
List
<
IVariableV1
>
)
.
ToArray
(
)
;
}
/// <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
Operation
variables_initializer
(
IVariableV1
[
]
var_list
,
string
name
=
"init"
)
=>
variables
.
variables_initializer
(
var_list
,
name
:
name
)
;
public
Operation
global_variables_initializer
(
)
=>
tf
.
compat
.
v1
.
global_variables_initializer
(
)
;
/// <summary>
/// Returns all variables created with `trainable=True`.
/// </summary>
/// <param name="scope"></param>
/// <returns></returns>
public
IVariableV1
[
]
trainable_variables
(
string
scope
=
null
)
=>
(
variables
.
trainable_variables
(
)
as
List
<
IVariableV1
>
)
.
ToArray
(
)
;
public
VariableScope
get_variable_scope
(
)
=>
Tensorflow
.
variable_scope
.
get_variable_scope
(
)
;
}
}
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