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monticore
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CNNArchLang
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2bc9bd6f
Commit
2bc9bd6f
authored
Oct 22, 2020
by
Julian Johannes Steinsberger-Dührßen
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misc
parent
d4bfac9b
Pipeline
#346430
passed with stage
in 9 minutes and 5 seconds
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src/test/resources/invalid_tests/EpisodicMemoryInvalidPlacement.cnna
...sources/invalid_tests/EpisodicMemoryInvalidPlacement.cnna
+2
-2
src/test/resources/valid_tests/EpisodicMemoryNetwork.cnna
src/test/resources/valid_tests/EpisodicMemoryNetwork.cnna
+3
-3
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src/test/resources/invalid_tests/EpisodicMemoryInvalidPlacement.cnna
View file @
2bc9bd6f
...
...
@@ -5,11 +5,11 @@ architecture EpisodicMemoryInvalidPlacement{
data ->
(
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
replayM
emoryStoreProb=
0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1
, localAdaption
K
=3
2
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
m
emoryStoreProb=
1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32
, localAdapt
at
ion
GradientSteps
=3
0
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
FullyConnected(units=33) ->
Softmax()
|
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
replayM
emoryStoreProb=
0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1
, localAdaption
K
=3
2
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
m
emoryStoreProb=
1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32
, localAdapt
at
ion
GradientSteps
=3
0
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
FullyConnected(units=33) ->
Softmax()
) ->
...
...
src/test/resources/valid_tests/EpisodicMemoryNetwork.cnna
View file @
2bc9bd6f
...
...
@@ -4,11 +4,11 @@ architecture EpisodicMemoryNetwork{
def output Q(0:1)^{33} softmax
data ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
replayM
emoryStoreProb=
0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1
, localAdaption
K
=3
2
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
m
emoryStoreProb=
1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32
, localAdapt
at
ion
GradientSteps
=3
0
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
FullyConnected(units=33) ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
replayM
emoryStoreProb=
0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1
, localAdaption
K
=3
2
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
m
emoryStoreProb=
1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32
, localAdapt
at
ion
GradientSteps
=3
0
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
FullyConnected(units=33) ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
replayM
emoryStoreProb=
0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1
, localAdaption
K
=3
2
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1,
m
emoryStoreProb=
1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32
, localAdapt
at
ion
GradientSteps
=3
0
, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
FullyConnected(units=33) ->
Softmax() ->
softmax;
...
...
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