TommyNgx

/

kneeSGM

like 0

• "timm.layers.activations.GELU",
• "timm.layers.norm.LayerNorm2d",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "timm.models.convnext.ConvNeXtBlock",
• "torch._utils._rebuild_tensor_v2",
• "timm.models.convnext.ConvNeXt",
• "torch.FloatStorage",
• "torch.nn.modules.flatten.Flatten",
• "timm.layers.classifier.NormMlpClassifierHead",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "__builtin__.set",
• "timm.models.convnext.ConvNeXtStage",
• "timm.layers.mlp.GlobalResponseNormMlp",
• "timm.layers.norm.LayerNorm",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.linear.Identity",
• "timm.layers.grn.GlobalResponseNorm",
• "collections.OrderedDict"

How to fix it?

• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.PSABlock",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.upsampling.Upsample",
• "ultralytics.nn.modules.conv.Concat",
• "torch.HalfStorage",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.nn.modules.block.DFL",
• "torch.LongStorage",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.modules.block.Bottleneck",
• "collections.OrderedDict",
• "ultralytics.nn.tasks.DetectionModel",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.block.C3k",
• "ultralytics.nn.modules.block.Attention",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.block.C3k2",
• "__builtin__.set",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.block.C2PSA",
• "torch.Size",
• "ultralytics.nn.modules.head.Detect",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.conv.DWConv"

How to fix it?

• "ultralytics.nn.modules.conv.DWConv",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.nn.modules.conv.Concat",
• "torch.Size",
• "ultralytics.nn.modules.block.C3k2",
• "__builtin__.set",
• "torch.LongStorage",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.block.AAttn",
• "ultralytics.nn.modules.block.C3k",
• "ultralytics.nn.modules.head.Detect",
• "ultralytics.nn.modules.block.ABlock",
• "torch.nn.modules.upsampling.Upsample",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.container.ModuleList",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.FloatStorage",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.block.DFL",
• "torch.HalfStorage",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.modules.block.A2C2f",
• "ultralytics.nn.modules.conv.Conv"

How to fix it?

• "ultralytics.nn.modules.block.ABlock",
• "ultralytics.nn.modules.conv.DWConv",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.block.C3k",
• "__builtin__.set",
• "torch.HalfStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.FloatStorage",
• "ultralytics.nn.modules.conv.Conv",
• "torch.Size",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.conv.Concat",
• "torch.nn.modules.upsampling.Upsample",
• "ultralytics.nn.modules.head.Detect",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.block.A2C2f",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.C3k2",
• "ultralytics.nn.modules.block.AAttn",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.Bottleneck"

How to fix it?