Deep learning 在deeplearning4j中运行ResNet时出现异常

我试图运行deeplearning4j的ZooModel中提供的ResNet50计算图，但在调用resNet的init（）方法时出现以下错误。我有10个类，每个图像是64*64

请建议正确的初始化方法

代码

ResNet50Builder builder = ResNet50.builder();
        ResNet50 resNet = builder.numClasses(10).cacheMode(CacheMode.NONE)
                   .workspaceMode(WorkspaceMode.NONE).inputShape(new int[] {3, 64, 64}).build();
        ComputationGraph computationGraph = resNet.init();

异常堆栈跟踪：

Exception in thread "main" org.deeplearning4j.exception.DL4JInvalidConfigException: Invalid configuration for layer (idx=77, name=res4a_branch2b, type=ConvolutionLayer) for height dimension:  Invalid input configuration for kernel height. Require 0 < kH <= inHeight + 2*padH; got (kH=3, inHeight=2, padH=0)
Input type = InputTypeConvolutional(h=2,w=2,c=256), kernel = [3, 3], strides = [1, 1], padding = [0, 0], layer size (output channels) = 256, convolution mode = Same
    at org.deeplearning4j.nn.conf.layers.InputTypeUtil.getOutputTypeCnnLayers(InputTypeUtil.java:327)
    at org.deeplearning4j.nn.conf.layers.ConvolutionLayer.getOutputType(ConvolutionLayer.java:191)
    at org.deeplearning4j.nn.conf.graph.LayerVertex.getOutputType(LayerVertex.java:131)
    at org.deeplearning4j.nn.conf.ComputationGraphConfiguration.getLayerActivationTypes(ComputationGraphConfiguration.java:536)
    at org.deeplearning4j.nn.conf.ComputationGraphConfiguration.addPreProcessors(ComputationGraphConfiguration.java:449)
    at org.deeplearning4j.nn.conf.ComputationGraphConfiguration$GraphBuilder.build(ComputationGraphConfiguration.java:1201)
    at org.deeplearning4j.zoo.model.ResNet50.init(ResNet50.java:91)
    at org.deeplearning4j.examples.convolution.ResNet.run(ResNet.java:145)
    at org.deeplearning4j.examples.convolution.ResNet.main(ResNet.java:306)

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线程“main”org.deeplearning4j.Exception.dl4jinValidConfigeException中的异常：高度维度的层（idx=77，name=res4a_branch2b，type=卷积层）配置无效：内核高度的输入配置无效。需要0 图像太小，这会导致过滤器在前几层之后过大