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Franck Dary
macaon
Commits
9df2da0f
Commit
9df2da0f
authored
4 years ago
by
Franck Dary
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Added case for regression in extractExamples
parent
bb7307d4
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trainer/src/Trainer.cpp
+3
-2
3 additions, 2 deletions
trainer/src/Trainer.cpp
with
3 additions
and
2 deletions
trainer/src/Trainer.cpp
+
3
−
2
View file @
9df2da0f
...
...
@@ -92,8 +92,9 @@ void Trainer::extractExamples(std::vector<SubConfig> & configs, bool debug, std:
if
(
dynamicOracle
and
util
::
choiceWithProbability
(
1.0
)
and
config
.
getState
()
!=
"tokenizer"
and
config
.
getState
()
!=
"segmenter"
)
{
auto
neuralInput
=
torch
::
from_blob
(
context
[
0
].
data
(),
{(
long
)
context
[
0
].
size
()},
torch
::
kLong
).
clone
().
to
(
NeuralNetworkImpl
::
device
);
auto
prediction
=
torch
::
softmax
(
machine
.
getClassifier
(
config
.
getState
())
->
getNN
()(
neuralInput
),
-
1
).
squeeze
(
0
);
auto
&
classifier
=
*
machine
.
getClassifier
(
config
.
getState
());
auto
neuralInput
=
torch
::
from_blob
(
context
.
data
(),
{(
long
)
context
.
size
()},
torch
::
kLong
).
clone
().
to
(
NeuralNetworkImpl
::
device
);
auto
prediction
=
classifier
.
isRegression
()
?
classifier
.
getNN
()(
neuralInput
).
squeeze
(
0
)
:
torch
::
softmax
(
classifier
.
getNN
()(
neuralInput
).
squeeze
(
0
),
0
);
entropy
=
NeuralNetworkImpl
::
entropy
(
prediction
);
std
::
vector
<
int
>
candidates
;
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