coung21

/

ent

like 0

• "collections.OrderedDict",
• "torch.nn.modules.flatten.Flatten",
• "torch.FloatStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "lightly_train._models.timm.timm._forward_intermediates",
• "torch.nn.modules.conv.Conv2d",
• "lightly_train._models.embedding_model.EmbeddingModel",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter",
• "timm.models.resnet.ResNet",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.activation.ReLU",
• "timm.models.resnet.Bottleneck",
• "torch.nn.modules.container.Sequential",
• "lightly_train._models.timm.timm.TIMMModelWrapper",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set"

How to fix it?

• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "lightly_train._models.embedding_model.EmbeddingModel",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "lightly_train._models.timm.timm.TIMMModelWrapper",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "lightly_train._models.timm.timm._forward_intermediates",
• "torch._utils._rebuild_tensor_v2",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "timm.models.resnet.ResNet",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torch.FloatStorage",
• "timm.models.resnet.Bottleneck",
• "torch.LongStorage"

How to fix it?

• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "lightly_train._models.embedding_model.EmbeddingModel",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "lightly_train._models.timm.timm.TIMMModelWrapper",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "lightly_train._models.timm.timm._forward_intermediates",
• "torch._utils._rebuild_tensor_v2",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "timm.models.resnet.ResNet",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torch.FloatStorage",
• "timm.models.resnet.Bottleneck",
• "torch.LongStorage"

How to fix it?