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TensorFlow.NET/src/TensorFlowNET.Keras/Utils/tf_utils.cs at master · MSavameri/TensorFlow.NET · GitHub
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TensorFlow.NET
/
src
/
TensorFlowNET.Keras
/
Utils
/
tf_utils.cs
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TensorFlow.NET
/
src
/
TensorFlowNET.Keras
/
Utils
/
tf_utils.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
System
.
Linq
;
using
Tensorflow
.
Framework
;
using
Tensorflow
.
Framework
.
Models
;
namespace
Tensorflow
.
Keras
.
Utils
{
public
class
tf_utils
{
public
static
bool
are_all_symbolic_tensors
(
Tensor
[
]
tensors
)
{
return
tensors
.
Select
(
x
=>
is_symbolic_tensor
(
x
)
)
.
Count
(
)
==
tensors
.
Length
;
}
public
static
bool
?
constant_value
(
Tensor
pred
)
{
return
smart_module
.
smart_constant_value
(
pred
)
;
}
public
static
bool
is_symbolic_tensor
(
Tensor
tensor
)
{
return
true
;
}
public
static
Tensor
[
]
smart_cond
<
T
>
(
IVariableV1
pred
,
Func
<
T
[
]
>
true_fn
=
null
,
Func
<
T
[
]
>
false_fn
=
null
,
string
name
=
null
)
{
return
control_flow_ops
.
cond
(
pred
.
AsTensor
(
)
,
true_fn
:
true_fn
,
false_fn
:
false_fn
,
name
:
name
)
;
}
public
static
Tensor
[
]
smart_cond
<
T
>
(
Tensor
pred
,
Func
<
T
[
]
>
true_fn
=
null
,
Func
<
T
[
]
>
false_fn
=
null
,
string
name
=
null
)
{
return
smart_module
.
smart_cond
(
pred
,
true_fn
:
true_fn
,
false_fn
:
false_fn
,
name
:
name
)
;
}
public
static
Tensor
smart_cond
(
bool
pred
,
Func
<
Tensor
>
true_fn
=
null
,
Func
<
Tensor
>
false_fn
=
null
,
string
name
=
null
)
{
return
smart_module
.
smart_cond
(
pred
,
true_fn
:
true_fn
,
false_fn
:
false_fn
,
name
:
name
)
;
}
public
static
TensorSpec
get_tensor_spec
(
Tensor
t
,
bool
dynamic_batch
=
false
,
string
name
=
null
)
{
throw
new
NotImplementedException
(
"The function is waited to be implemented in the future."
)
;
}
public
static
TensorSpec
get_tensor_spec
(
TensorSpec
t
,
bool
dynamic_batch
=
false
,
string
name
=
null
)
{
var
spec
=
t
;
if
(
!
dynamic_batch
)
{
return
spec
;
}
var
dynamic_batch_spec
=
new
TensorSpec
(
t
.
shape
,
t
.
dtype
,
t
.
name
)
;
var
shape
=
dynamic_batch_spec
.
shape
;
if
(
shape
.
rank
>
0
)
{
var
shape_list
=
shape
.
as_int_list
(
)
;
// TODO(Rinne): check if -1 is equivalent to None in python.
shape_list
[
0
]
=
-
1
;
dynamic_batch_spec
.
shape
=
new
Shape
(
shape_list
)
;
}
return
dynamic_batch_spec
;
}
}
}
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