Reputation: 148
I am currently trying to implement this guide: https://towardsdatascience.com/deploying-keras-deep-learning-models-with-java-62d80464f34a
I already trained a model with tf and Keras and exported it to a file. I want to use the Model in java and tried to load it with deeplearning4j
.
I already looked at other posts and nobody seems to get the same exception.
Training Model:
model = keras.Sequential()
...
model.compile(optimizer='adam',
loss='categorical_crossentropy',
metrics=['accuracy'])
...
history = model.fit(X, y, epochs=30, batch_size=512, validation_split=0.1)
model.save("model.h5")
Loading in Java:
...
String simpleMlp = new ClassPathResource(path).getFile().getPath();
model = KerasModelImport.importKerasSequentialModelAndWeights(simpleMlp);
...
OR
...
String json = new ClassPathResource(path1).getFile().getPath();
String weights = new ClassPathResource(path2).getFile().getPath();
model = KerasModelImport.importKerasSequentialModelAndWeights(json, weights);
...
I get the following exception (for both java codes):
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
Exception in thread "main" java.lang.ClassCastException: class java.util.LinkedHashMap cannot be cast to class java.util.List (java.util.LinkedHashMap and java.util.List are in module java.base of loader 'bootstrap')
at org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel.<init>(KerasSequentialModel.java:102)
at org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel.<init>(KerasSequentialModel.java:61)
at org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder.buildSequential(KerasModelBuilder.java:320)
at org.deeplearning4j.nn.modelimport.keras.KerasModelImport.importKerasSequentialModelAndWeights(KerasModelImport.java:195)
at seminar.java_model_loading.machinelearning.Predictor.<init>(Predictor.java:19)
at seminar.java_model_loading.App.main(App.java:27)
Upvotes: 2
Views: 893
Reputation: 148
Turns out I had to update my maven dependencies for deeplearning4j:
Use
...
version>1.0.0-beta4</version>
...
instead of
...
version>1.0.0-beta2</version>
...
So the guide is outdated and wrong.
Upvotes: 2