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The provided RNNEmbedding Example does not work, on 1.0.0-M2.1 release
The provided example in dl4j-examples/src/main/java/org/deeplearning4j/examples/quickstart/modeling/recurrent/RNNEmbedding.java does not compile
Please describe your issue, along with:
expected behavior
The example to compile and run
encountered behavior
An Exception:
Exception in thread "main" java.lang.IllegalStateException: Sequence lengths do not match for RnnOutputLayer input and labels:Arrays should be rank 3 with shape [minibatch, size, sequenceLength] - mismatch on dimension 2 (sequence length) - input=[3, 7, 8] vs. label=[3, 4, 8]
at org.nd4j.common.base.Preconditions.throwStateEx(Preconditions.java:639)
at org.nd4j.common.base.Preconditions.checkState(Preconditions.java:337)
at org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer.backpropGradient(RnnOutputLayer.java:59)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.calcBackpropGradients(MultiLayerNetwork.java:1998)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.computeGradientAndScore(MultiLayerNetwork.java:2813)
at com.osstelecom.ai.deeplearning.ai.api.AiApi.main(AiApi.java:60)
Version Information
Please indicate relevant versions, including, if relevant:
Deeplearning4j version:1.0.0-M2.1
platform information (OS, etc) Linux Ubuntu 22,04
CUDA version: No Used
NVIDIA driver version: Not Used
Contributing
If you'd like to help us fix the issue by contributing some code, but would
like guidance or help in doing so, please mention it!
The text was updated successfully, but these errors were encountered:
Issue Description
The provided RNNEmbedding Example does not work, on 1.0.0-M2.1 release
The provided example in dl4j-examples/src/main/java/org/deeplearning4j/examples/quickstart/modeling/recurrent/RNNEmbedding.java does not compile
Please describe your issue, along with:
The example to compile and run
An Exception:
Exception in thread "main" java.lang.IllegalStateException: Sequence lengths do not match for RnnOutputLayer input and labels:Arrays should be rank 3 with shape [minibatch, size, sequenceLength] - mismatch on dimension 2 (sequence length) - input=[3, 7, 8] vs. label=[3, 4, 8]
at org.nd4j.common.base.Preconditions.throwStateEx(Preconditions.java:639)
at org.nd4j.common.base.Preconditions.checkState(Preconditions.java:337)
at org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer.backpropGradient(RnnOutputLayer.java:59)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.calcBackpropGradients(MultiLayerNetwork.java:1998)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.computeGradientAndScore(MultiLayerNetwork.java:2813)
at com.osstelecom.ai.deeplearning.ai.api.AiApi.main(AiApi.java:60)
Version Information
Please indicate relevant versions, including, if relevant:
Contributing
If you'd like to help us fix the issue by contributing some code, but would
like guidance or help in doing so, please mention it!
The text was updated successfully, but these errors were encountered: