hantian

/

yolo-doclaynet

like 43

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

How to fix it?

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

How to fix it?

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

How to fix it?

• "ultralytics.nn.modules.block.SCDown",
• "ultralytics.nn.modules.head.v10Detect",
• "ultralytics.nn.modules.block.CIB",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.DFL",
• "torch._utils._rebuild_tensor_v2",
• "__builtin__.set",
• "torch.Size",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.block.C2f",
• "torch._utils._rebuild_parameter",
• "torch.HalfStorage",
• "ultralytics.nn.modules.block.C2fCIB",
• "ultralytics.nn.modules.block.SPPF",
• "collections.OrderedDict",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.modules.conv.Concat",
• "torch.FloatStorage",
• "ultralytics.nn.modules.block.Attention",
• "torch.nn.modules.conv.Conv2d",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.nn.modules.block.PSA",
• "torch.nn.modules.upsampling.Upsample"

How to fix it?

• "ultralytics.nn.modules.block.C2fCIB",
• "ultralytics.nn.modules.block.SCDown",
• "ultralytics.nn.modules.block.Attention",
• "torch.nn.modules.activation.SiLU",
• "torch.HalfStorage",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.block.C2f",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.block.CIB",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.conv.Conv",
• "torch.FloatStorage",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.PSA",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.nn.modules.conv.Concat",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "__builtin__.set",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.upsampling.Upsample",
• "torch.Size",
• "torch.LongStorage",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.head.v10Detect"

How to fix it?

• "ultralytics.nn.modules.head.v10Detect",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.SCDown",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.block.C2fCIB",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.nn.modules.block.C2f",
• "collections.OrderedDict",
• "ultralytics.nn.modules.block.RepVGGDW",
• "torch.LongStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.block.PSA",
• "torch._utils._rebuild_tensor_v2",
• "torch.Size",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.block.SPPF",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.block.CIB",
• "torch.nn.modules.upsampling.Upsample",
• "__builtin__.set",
• "ultralytics.nn.modules.conv.Conv",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.block.Attention",
• "torch.FloatStorage",
• "torch.HalfStorage"

How to fix it?

• "ultralytics.nn.modules.block.PSA",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.C2fCIB",
• "torch.LongStorage",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.block.CIB",
• "ultralytics.nn.modules.block.Attention",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.block.SPPF",
• "torch.FloatStorage",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.HalfStorage",
• "__builtin__.set",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.block.SCDown",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.block.RepVGGDW",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.conv.Conv",
• "torch._utils._rebuild_tensor_v2",
• "torch.Size",
• "ultralytics.nn.modules.conv.Concat",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.head.v10Detect"

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "torch.HalfStorage",
• "torch.Size",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "torch.device",
• "torch._utils._rebuild_parameter",
• "ultralytics.utils.loss.v8DetectionLoss",
• "ultralytics.nn.modules.head.Detect",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.set",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.loss.BboxLoss",
• "ultralytics.nn.modules.block.DFL",
• "torch.LongStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.container.Sequential",
• "torch.FloatStorage",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.utils.IterableSimpleNamespace",
• "collections.OrderedDict",
• "ultralytics.nn.modules.block.C2f",
• "torch.nn.modules.upsampling.Upsample",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.modules.block.SPPF",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "torch.nn.modules.activation.SiLU",
• "torch.HalfStorage",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.utils.IterableSimpleNamespace",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.device",
• "ultralytics.nn.modules.conv.Conv",
• "torch.FloatStorage",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.nn.modules.conv.Concat",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.utils.loss.BboxLoss",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "__builtin__.set",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch.nn.modules.upsampling.Upsample",
• "ultralytics.nn.modules.head.Detect",
• "torch.LongStorage",
• "torch.Size",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.utils.tal.TaskAlignedAssigner"

How to fix it?

• "torch.nn.modules.activation.SiLU",
• "ultralytics.utils.IterableSimpleNamespace",
• "torch.LongStorage",
• "torch._utils._rebuild_parameter",
• "ultralytics.utils.loss.BboxLoss",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.Size",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.ModuleList",
• "torch.FloatStorage",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.conv.Concat",
• "torch.nn.modules.upsampling.Upsample",
• "torch.HalfStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "__builtin__.set",
• "ultralytics.nn.modules.block.SPPF",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.C2f",
• "collections.OrderedDict",
• "ultralytics.nn.modules.head.Detect",
• "ultralytics.nn.modules.block.DFL",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "torch.device",
• "ultralytics.nn.modules.conv.Conv"

How to fix it?

• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.conv.Conv",
• "torch.HalfStorage",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.utils.loss.BboxLoss",
• "ultralytics.nn.modules.block.SPPF",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "torch.LongStorage",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "torch.Size",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.FloatStorage",
• "ultralytics.utils.loss.v8DetectionLoss",
• "ultralytics.utils.IterableSimpleNamespace",
• "__builtin__.set",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.device",
• "ultralytics.nn.modules.block.C2f",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.conv.Concat",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.upsampling.Upsample",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.nn.modules.head.Detect",
• "ultralytics.nn.modules.block.DFL",
• "torch.nn.modules.conv.Conv2d",
• "collections.OrderedDict"

How to fix it?