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TensorFlow.NET/src/TensorFlowNET.Keras/BackendBase.cs at master · prilcool/TensorFlow.NET · GitHub
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TensorFlow.NET
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src
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TensorFlowNET.Keras
/
BackendBase.cs
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TensorFlow.NET
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TensorFlowNET.Keras
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BackendBase.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
;
using
static
Tensorflow
.
Binding
;
namespace
Tensorflow
.
Keras
{
public
abstract
class
BackendBase
{
TF_DataType
_FLOATX
=
dtypes
.
float32
;
float
_EPSILON
=
1e-7f
;
ImageDataFormat
_IMAGE_DATA_FORMAT
=
ImageDataFormat
.
channels_last
;
public
float
epsilon
(
)
=>
_EPSILON
;
public
void
set_epsilon
(
float
e
)
=>
_EPSILON
=
e
;
public
TF_DataType
floatx
(
)
=>
_FLOATX
;
public
void
set_floatx
(
TF_DataType
floatx
)
=>
_FLOATX
=
floatx
;
//public NDArray cast_to_floatx(NDArray x) => np.array(x, dtype: _FLOATX.as_numpy_datatype());
public
ImageDataFormat
image_data_format
(
)
=>
_IMAGE_DATA_FORMAT
;
public
void
set_image_data_format
(
ImageDataFormat
data_format
)
=>
_IMAGE_DATA_FORMAT
=
data_format
;
public
ImageDataFormat
normalize_data_format
(
object
value
=
null
)
{
if
(
value
==
null
)
value
=
_IMAGE_DATA_FORMAT
;
if
(
isinstance
(
value
,
typeof
(
ImageDataFormat
)
)
)
return
(
ImageDataFormat
)
value
;
else
if
(
isinstance
(
value
,
typeof
(
string
)
)
)
{
ImageDataFormat
dataFormat
;
if
(
Enum
.
TryParse
(
(
string
)
value
,
true
,
out
dataFormat
)
)
{
if
(
Enum
.
IsDefined
(
typeof
(
ImageDataFormat
)
,
dataFormat
)
|
dataFormat
.
ToString
(
)
.
Contains
(
","
)
)
return
dataFormat
;
}
}
throw
new
Exception
(
"The `data_format` argument must be one of
\"
channels_first
\"
,
\"
channels_last
\"
. Received: "
+
value
.
ToString
(
)
)
;
}
//Legacy Methods
public
void
set_image_dim_ordering
(
ImageDimOrder
dim_ordering
)
{
if
(
dim_ordering
==
ImageDimOrder
.
th
)
_IMAGE_DATA_FORMAT
=
ImageDataFormat
.
channels_first
;
else
if
(
dim_ordering
==
ImageDimOrder
.
tf
)
_IMAGE_DATA_FORMAT
=
ImageDataFormat
.
channels_last
;
else
throw
new
Exception
(
"Unknown dim_ordering:"
+
dim_ordering
)
;
}
public
ImageDimOrder
image_dim_ordering
(
)
{
if
(
_IMAGE_DATA_FORMAT
==
ImageDataFormat
.
channels_first
)
return
ImageDimOrder
.
th
;
else
return
ImageDimOrder
.
tf
;
}
}
public
enum
ImageDimOrder
{
tf
,
th
}
}
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