szymonrucinski

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OnSensorWorldModel

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• "torch.nn.modules.dropout.Dropout",
• "backbone.ResNet18Encoder",
• "torch.nn.modules.activation.SiLU",
• "module.Attention",
• "module.FeedForward",
• "module.MLP",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.pooling.MaxPool2d",
• "module.Embedder",
• "torch.nn.modules.linear.Linear",
• "collections.OrderedDict",
• "backbone.EncoderConfig",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.conv.Conv1d",
• "jepa.JEPA",
• "module.ARPredictor",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv2d",
• "module.ConditionalBlock",
• "__builtin__.set",
• "module.Transformer",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.GELU",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter"

How to fix it?

• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "backbone.EncoderConfig",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Identity",
• "module.MLP",
• "torch.nn.modules.pooling.MaxPool2d",
• "backbone.ResNet18Encoder",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.activation.SiLU",
• "module.ConditionalBlock",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.conv.Conv1d",
• "jepa.JEPA",
• "torch.nn.modules.conv.Conv2d",
• "module.Embedder",
• "module.Transformer",
• "torch.nn.modules.activation.ReLU",
• "module.Attention",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "collections.OrderedDict",
• "module.ARPredictor",
• "module.FeedForward",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.normalization.LayerNorm"

How to fix it?

• "torch.nn.modules.linear.Linear",
• "module.Embedder",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.container.Sequential",
• "__builtin__.set",
• "torch.LongStorage",
• "collections.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.pooling.MaxPool2d",
• "module.ARPredictor",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "jepa.JEPA",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.normalization.LayerNorm",
• "module.Attention",
• "torch.nn.modules.activation.GELU",
• "torchvision.models.resnet.BasicBlock",
• "module.MLP",
• "torch.nn.modules.linear.Identity",
• "module.FeedForward",
• "torch.nn.modules.container.ModuleList",
• "backbone.ResNet18Encoder",
• "torch._utils._rebuild_parameter",
• "backbone.EncoderConfig",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.conv.Conv1d",
• "torch.FloatStorage",
• "module.ConditionalBlock",
• "module.Transformer"

How to fix it?

• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "backbone.EncoderConfig",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Identity",
• "module.MLP",
• "torch.nn.modules.pooling.MaxPool2d",
• "backbone.ResNet18Encoder",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.activation.SiLU",
• "module.ConditionalBlock",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.conv.Conv1d",
• "jepa.JEPA",
• "torch.nn.modules.conv.Conv2d",
• "module.Embedder",
• "module.Transformer",
• "torch.nn.modules.activation.ReLU",
• "module.Attention",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "collections.OrderedDict",
• "module.ARPredictor",
• "module.FeedForward",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.normalization.LayerNorm"

How to fix it?