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Shapes do not match: x.shape=[1, 9000], y.shape=[1, 3]
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Shapes do not match: x.shape=[1, 595], y.shape=[1, 645]
java.lang.IllegalArgumentException: Shapes do not match: x.shape=[1, 9000], y.shape=[1, 3] at org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory.getTransformAction(CPUTaskFactory.java:92) at org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner.doTransformOp(DefaultOpExecutioner.java:409) at org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner.exec(DefaultOpExecutioner.java:62) at org.nd4j.linalg.api.ndarray.BaseNDArray.subi(BaseNDArray.java:2660) at org.nd4j.linalg.api.ndarray.BaseNDArray.subi(BaseNDArray.java:2641) at org.nd4j.linalg.api.ndarray.BaseNDArray.sub(BaseNDArray.java:2419) at org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder.computeGradientAndScore(AutoEncoder.java:123) at org.deeplearning4j.optimize.solvers.BaseOptimizer.gradientAndScore(BaseOptimizer.java:132) at org.deeplearning4j.optimize.solvers.BaseOptimizer.optimize(BaseOptimizer.java:151) at org.deeplearning4j.optimize.Solver.optimize(Solver.java:52) at org.deeplearning4j.nn.layers.BaseLayer.fit(BaseLayer.java:486) at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.pretrain(MultiLayerNetwork.java:170) at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1134)