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EMADL2CPP
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monticore
EmbeddedMontiArc
generators
EMADL2CPP
Commits
f81f8ee5
Commit
f81f8ee5
authored
Oct 26, 2018
by
Carlos Alfredo Yeverino Rodriguez
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Plain Diff
Added project files for new emadl model "lenet"
parent
1fde5334
Pipeline
#81032
passed with stages
in 4 minutes and 22 seconds
Changes
4
Pipelines
1
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4 changed files
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72 additions
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+72
-0
src/test/resources/models/lenet/ArgMax.emadl
src/test/resources/models/lenet/ArgMax.emadl
+20
-0
src/test/resources/models/lenet/LeNetNetwork.cnnt
src/test/resources/models/lenet/LeNetNetwork.cnnt
+14
-0
src/test/resources/models/lenet/LeNetNetwork.emadl
src/test/resources/models/lenet/LeNetNetwork.emadl
+20
-0
src/test/resources/models/lenet/MnistClassifier.emadl
src/test/resources/models/lenet/MnistClassifier.emadl
+18
-0
No files found.
src/test/resources/models/lenet/ArgMax.emadl
0 → 100644
View file @
f81f8ee5
package
lenet
;
component
ArgMax
<
Z
(
1
:
oo
)
n
=
2
>{
ports
in
Q
^{
n
}
inputVector
,
out
Z
(
0
:
oo
)
maxIndex
,
out
Q
maxValue
;
implementation
Math
{
maxIndex
=
0
;
maxValue
=
inputVector
(
1
);
for
i
=
2
:
n
if
inputVector
(
i
)
>
maxValue
maxIndex
=
i
-
1
;
maxValue
=
inputVector
(
i
);
end
end
}
}
\ No newline at end of file
src/test/resources/models/lenet/LeNetNetwork.cnnt
0 → 100644
View file @
f81f8ee5
configuration LeNetNetwork{
num_epoch:1000
batch_size:256
context:gpu
eval_metric:accuracy
optimizer:adam{
learning_rate:0.001
learning_rate_policy:fixed
weight_decay:0.001
epsilon:0.00000001
beta1:0.9
beta2:0.999
}
}
src/test/resources/models/lenet/LeNetNetwork.emadl
0 → 100644
View file @
f81f8ee5
package
lenet
;
component
LeNetNetwork
<
Z
(
2
:
oo
)
classes
=
10
>{
ports
in
Z
(
0
:
255
)^{
1
,
28
,
28
}
image
,
out
Q
(
0
:
1
)^{
classes
}
predictions
;
implementation
CNN
{
image
->
Convolution
(
kernel
=(
5
,
5
),
channels
=
20
,
padding
=
"valid"
)
->
Pooling
(
pool_type
=
"max"
,
kernel
=(
2
,
2
),
stride
=(
2
,
2
),
padding
=
"valid"
)
->
Convolution
(
kernel
=(
5
,
5
),
channels
=
50
,
padding
=
"valid"
)
->
Pooling
(
pool_type
=
"max"
,
kernel
=(
2
,
2
),
stride
=(
2
,
2
),
padding
=
"valid"
)
->
FullyConnected
(
units
=
500
)
->
Relu
()
->
FullyConnected
(
units
=
classes
)
->
Softmax
()
->
predictions
}
}
src/test/resources/models/lenet/MnistClassifier.emadl
0 → 100644
View file @
f81f8ee5
package
lenet
;
import
Network
;
import
CalculateClass
;
component
MnistClassifier
{
ports
in
Z
(
0
:
255
)^{
1
,
28
,
28
}
image
,
out
Z
(
0
:
9
)
classIndex
,
out
Q
probability
;
instance
LeNetNetwork
<
10
>
net
;
instance
ArgMax
<
10
>
calculateClass
;
connect
image
->
net
.
image
;
connect
net
.
predictions
->
calculateClass
.
inputVector
;
connect
calculateClass
.
maxIndex
->
classIndex
;
connect
calculateClass
.
maxValue
->
probability
;
}
\ No newline at end of file
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