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Ensemble_ConvNeXt_MobileNet_EfficientNet_Weight_Adjustment

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CIS519_Project_JC_YQ_RW 4

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.FloatStorage",
• "torchvision.models.mobilenetv2.MobileNetV2",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "__main__.CustomEfficientNetModel",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torchvision.models.mobilenetv2.InvertedResidual",
• "torchvision.ops.misc.Permute",
• "torch.nn.modules.normalization.LayerNorm",
• "torchvision.ops.misc.SqueezeExcitation",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.SiLU",
• "torchvision.models.efficientnet.EfficientNet",
• "torchvision.models.convnext.CNBlock",
• "torch.nn.modules.activation.ReLU6",
• "torchvision.models.convnext.ConvNeXt",
• "torchvision.models.convnext.LayerNorm2d",
• "collections.OrderedDict",
• "torchvision.models.efficientnet.MBConv",
• "__main__.CustomMobileNetModel",
• "torchvision.ops.misc.Conv2dNormActivation",
• "__main__.CustomConvNeXtModel",
• "torch.LongStorage",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.container.Sequential",
• "torchvision.ops.stochastic_depth.StochasticDepth",
• "__main__.EnsembleModel",
• "torch.nn.modules.conv.Conv2d"

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