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    • Type: Task
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 1.19, 2.0.0
    • Component/s: None
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      Description

      Let's try to upgrade dl4j. I think I got us most of the way there, but I got this error when reading the json config file. Can someone with more knowledge of layer specs help (Thamme Gowda, perhaps )?

      org.deeplearning4j.exception.DL4JInvalidConfigException: Invalid configuration for layer (idx=-1, name=convolution2d_2, type=ConvolutionLayer) for width dimension:  Invalid input configuration for kernel width. Require 0 < kW <= inWidth + 2*padW; got (kW=3, inWidth=1, padW=0)
      Input type = InputTypeConvolutional(h=149,w=1,c=32), kernel = [3, 3], strides = [1, 1], padding = [0, 0], layer size (output channels) = 32, convolution mode = Truncate
      

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              • Assignee:
                Unassigned
                Reporter:
                tallison@apache.org Tim Allison
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