stamps-labs

/

deeplabv3-finetuned

like 0

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torchvision.models.segmentation.deeplabv3.DeepLabHead",
• "torchvision.models.segmentation.deeplabv3.ASPPConv",
• "torchvision.models.segmentation.fcn.FCNHead",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage",
• "torchvision.models.resnet.Bottleneck",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.models.segmentation.deeplabv3.DeepLabV3",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.dropout.Dropout",
• "collections.OrderedDict",
• "torchvision.models.segmentation.deeplabv3.ASPPPooling",
• "torchvision.models.segmentation.deeplabv3.ASPP",
• "__builtin__.set",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d"

How to fix it?