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TensorFlow.NET/src/TensorflowNET.Hub/KerasLayer.cs at master · feelsyt/TensorFlow.NET · GitHub
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KerasLayer.cs
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KerasLayer.cs
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using
System
;
using
System
.
Collections
.
Generic
;
using
System
.
Linq
;
using
Tensorflow
.
Common
.
Types
;
using
Tensorflow
.
Keras
.
Engine
;
using
Tensorflow
.
Train
;
using
Tensorflow
.
Training
;
using
Tensorflow
.
Training
.
Saving
.
SavedModel
;
using
static
Tensorflow
.
Binding
;
namespace
Tensorflow
.
Hub
{
public
class
KerasLayer
:
Layer
{
private
string
_handle
;
private
LoadOptions
?
_load_options
;
private
Trackable
_func
;
private
Func
<
Tensors
,
Tensors
>
_callable
;
public
KerasLayer
(
string
handle
,
bool
trainable
=
false
,
LoadOptions
?
load_options
=
null
)
:
base
(
new
Keras
.
ArgsDefinition
.
LayerArgs
(
)
{
Trainable
=
trainable
}
)
{
_handle
=
handle
;
_load_options
=
load_options
;
_func
=
load_module
(
_handle
,
_load_options
)
;
_track_trackable
(
_func
,
"_func"
)
;
// TODO(Rinne): deal with _is_hub_module_v1.
_callable
=
_get_callable
(
)
;
_setup_layer
(
trainable
)
;
}
private
void
_setup_layer
(
bool
trainable
=
false
)
{
HashSet
<
string
>
trainable_variables
;
if
(
_func
is
Layer
layer
)
{
foreach
(
var
v
in
layer
.
TrainableVariables
)
{
_add_existing_weight
(
v
,
true
)
;
}
trainable_variables
=
new
HashSet
<
string
>
(
layer
.
TrainableVariables
.
Select
(
v
=>
v
.
UniqueId
)
)
;
}
else
if
(
_func
.
CustomizedFields
.
TryGetValue
(
"trainable_variables"
,
out
var
obj
)
&&
obj
is
IEnumerable
<
Trackable
>
trackables
)
{
foreach
(
var
trackable
in
trackables
)
{
if
(
trackable
is
IVariableV1
v
)
{
_add_existing_weight
(
v
,
true
)
;
}
}
trainable_variables
=
new
HashSet
<
string
>
(
trackables
.
Where
(
t
=>
t
is
IVariableV1
)
.
Select
(
t
=>
(
t
as
IVariableV1
)
.
UniqueId
)
)
;
}
else
{
trainable_variables
=
new
HashSet
<
string
>
(
)
;
}
if
(
_func
is
Layer
)
{
layer
=
(
Layer
)
_func
;
foreach
(
var
v
in
layer
.
Variables
)
{
if
(
!
trainable_variables
.
Contains
(
v
.
UniqueId
)
)
{
_add_existing_weight
(
v
,
false
)
;
}
}
}
else
if
(
_func
.
CustomizedFields
.
TryGetValue
(
"variables"
,
out
var
obj
)
&&
obj
is
IEnumerable
<
Trackable
>
total_trackables
)
{
foreach
(
var
trackable
in
total_trackables
)
{
if
(
trackable
is
IVariableV1
v
&&
!
trainable_variables
.
Contains
(
v
.
UniqueId
)
)
{
_add_existing_weight
(
v
,
false
)
;
}
}
}
if
(
_func
.
CustomizedFields
.
ContainsKey
(
"regularization_losses"
)
)
{
if
(
(
_func
.
CustomizedFields
[
"regularization_losses"
]
as
ListWrapper
)
?
.
Count
>
0
)
{
throw
new
NotImplementedException
(
"The regularization_losses loading has not been supported yet, "
+
"please submit an issue to https://github.com/SciSharp/TensorFlow.NET/issues to let us know and add a feature."
)
;
}
}
}
protected
override
Tensors
Call
(
Tensors
inputs
,
Tensors
state
=
null
,
bool
?
training
=
null
,
IOptionalArgs
?
optionalArgs
=
null
)
{
_check_trainability
(
)
;
// TODO(Rinne): deal with training_argument
var
result
=
_callable
(
inputs
)
;
return
_apply_output_shape_if_set
(
inputs
,
result
)
;
}
private
void
_check_trainability
(
)
{
if
(
!
Trainable
)
return
;
// TODO(Rinne): deal with _is_hub_module_v1 and signature
if
(
TrainableWeights
is
null
||
TrainableWeights
.
Count
==
0
)
{
tf
.
Logger
.
Error
(
"hub.KerasLayer is trainable but has zero trainable weights."
)
;
}
}
private
Tensors
_apply_output_shape_if_set
(
Tensors
inputs
,
Tensors
result
)
{
// TODO(Rinne): implement it.
return
result
;
}
private
void
_add_existing_weight
(
IVariableV1
weight
,
bool
?
trainable
=
null
)
{
bool
is_trainable
;
if
(
trainable
is
null
)
{
is_trainable
=
weight
.
Trainable
;
}
else
{
is_trainable
=
trainable
.
Value
;
}
add_weight
(
weight
.
Name
,
weight
.
shape
,
weight
.
dtype
,
trainable
:
is_trainable
,
getter
:
x
=>
weight
)
;
}
private
Func
<
Tensors
,
Tensors
>
_get_callable
(
)
{
if
(
_func
is
Layer
layer
)
{
return
x
=>
layer
.
Apply
(
x
)
;
}
if
(
_func
.
CustomizedFields
.
ContainsKey
(
"__call__"
)
)
{
if
(
_func
.
CustomizedFields
[
"__call__"
]
is
RestoredFunction
function
)
{
return
x
=>
function
.
Apply
(
x
)
;
}
}
throw
new
ValueError
(
"Cannot get the callable from the model."
)
;
}
private
static
Trackable
load_module
(
string
handle
,
LoadOptions
?
load_options
=
null
)
{
//var set_load_options = load_options ?? LoadContext.get_load_option();
return
module_v2
.
load
(
handle
,
load_options
)
;
}
}
}
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