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for some tweets the neural network model throw exceptions similar to the one here issue
Our full log. processing of request: 'Mis matched lengths: [16] != [28]'. Completing with 500 Internal Server Error response. To change default exception handling behavior, provide a custom ExceptionHandler. java.lang.IllegalStateException: Mis matched lengths: [16] != [28] at org.nd4j.linalg.util.LinAlgExceptions.assertSameLength(LinAlgExceptions.java:40) at org.nd4j.linalg.api.ops.BaseTransformOp.<init>(BaseTransformOp.java:47) at org.nd4j.linalg.api.ops.impl.transforms.Set.<init>(Set.java:24) at org.nd4j.linalg.api.ndarray.BaseNDArray.assign(BaseNDArray.java:1267) at org.nd4j.linalg.api.ndarray.BaseNDArray.reshape(BaseNDArray.java:3753) at org.deeplearning4j.util.TimeSeriesUtils.reshape2dTo3d(TimeSeriesUtils.java:112) at org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer.output(RnnOutputLayer.java:142) at org.deeplearning4j.nn.layers.BaseOutputLayer.activate(BaseOutputLayer.java:189) at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.activationFromPrevLayer(MultiLayerNetwork.java:789) at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.feedForwardToLayer
The text was updated successfully, but these errors were encountered:
for some tweets the
neural network
model throw exceptions similar to the one here issueOur full log.
processing of request: 'Mis matched lengths: [16] != [28]'. Completing with 500 Internal Server Error response. To change default exception handling behavior, provide a custom ExceptionHandler. java.lang.IllegalStateException: Mis matched lengths: [16] != [28] at org.nd4j.linalg.util.LinAlgExceptions.assertSameLength(LinAlgExceptions.java:40) at org.nd4j.linalg.api.ops.BaseTransformOp.<init>(BaseTransformOp.java:47) at org.nd4j.linalg.api.ops.impl.transforms.Set.<init>(Set.java:24) at org.nd4j.linalg.api.ndarray.BaseNDArray.assign(BaseNDArray.java:1267) at org.nd4j.linalg.api.ndarray.BaseNDArray.reshape(BaseNDArray.java:3753) at org.deeplearning4j.util.TimeSeriesUtils.reshape2dTo3d(TimeSeriesUtils.java:112) at org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer.output(RnnOutputLayer.java:142) at org.deeplearning4j.nn.layers.BaseOutputLayer.activate(BaseOutputLayer.java:189) at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.activationFromPrevLayer(MultiLayerNetwork.java:789) at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.feedForwardToLayer
The text was updated successfully, but these errors were encountered: