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Pill_Ultralytics

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• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "ultralytics.models.utils.loss.RTDETRDetectionLoss",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.sparse.Embedding",
• "torch.FloatStorage",
• "ultralytics.models.utils.ops.HungarianMatcher",
• "torch.nn.modules.linear.Linear",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.loss.FocalLoss",
• "ultralytics.utils.IterableSimpleNamespace",
• "dill._dill._load_type",
• "torch.HalfStorage",
• "torch.nn.modules.normalization.LayerNorm",
• "ultralytics.utils.loss.VarifocalLoss",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoder",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "torch.device",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.activation.MultiheadAttention",
• "collections.OrderedDict",
• "ultralytics.nn.modules.transformer.MLP",
• "ultralytics.nn.modules.head.RTDETRDecoder",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.tasks.RTDETRDetectionModel",
• "ultralytics.nn.modules.transformer.MSDeformAttn",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "ultralytics.nn.modules.block.HGBlock",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "ultralytics.nn.modules.block.RepC3",
• "ultralytics.models.utils.loss.RTDETRDetectionLoss",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.conv.DWConv",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.sparse.Embedding",
• "torch.FloatStorage",
• "ultralytics.models.utils.ops.HungarianMatcher",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.GELU",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.loss.FocalLoss",
• "ultralytics.utils.IterableSimpleNamespace",
• "torch.HalfStorage",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.normalization.LayerNorm",
• "ultralytics.utils.loss.VarifocalLoss",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoder",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "torch.device",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.transformer.AIFI",
• "collections.OrderedDict",
• "torch.nn.modules.activation.MultiheadAttention",
• "ultralytics.nn.modules.transformer.MLP",
• "ultralytics.nn.modules.conv.RepConv",
• "ultralytics.nn.modules.head.RTDETRDecoder",
• "__builtin__.set",
• "ultralytics.nn.modules.block.HGStem",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.tasks.RTDETRDetectionModel",
• "ultralytics.nn.modules.transformer.MSDeformAttn",
• "torch.nn.modules.dropout.Dropout",
• "ultralytics.nn.modules.conv.LightConv"

How to fix it?

• "ultralytics.nn.modules.block.HGBlock",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "ultralytics.nn.modules.block.RepC3",
• "ultralytics.models.utils.loss.RTDETRDetectionLoss",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.conv.DWConv",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.sparse.Embedding",
• "torch.FloatStorage",
• "ultralytics.models.utils.ops.HungarianMatcher",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.GELU",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.loss.FocalLoss",
• "ultralytics.utils.IterableSimpleNamespace",
• "dill._dill._load_type",
• "torch.HalfStorage",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.normalization.LayerNorm",
• "ultralytics.utils.loss.VarifocalLoss",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoder",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "torch.device",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.transformer.AIFI",
• "collections.OrderedDict",
• "torch.nn.modules.activation.MultiheadAttention",
• "ultralytics.nn.modules.transformer.MLP",
• "ultralytics.nn.modules.conv.RepConv",
• "ultralytics.nn.modules.head.RTDETRDecoder",
• "ultralytics.nn.modules.block.HGStem",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.tasks.RTDETRDetectionModel",
• "ultralytics.nn.modules.transformer.MSDeformAttn",
• "torch.nn.modules.dropout.Dropout",
• "ultralytics.nn.modules.conv.LightConv"

How to fix it?

• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "__builtin__.set",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.conv.RepConv",
• "ultralytics.utils.loss.BboxLoss",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.RepNCSPELAN4",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.block.RepCSP",
• "torch.device",
• "ultralytics.nn.modules.block.SPPELAN",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "ultralytics.utils.IterableSimpleNamespace",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch.nn.modules.conv.Conv2d",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.nn.modules.block.ADown",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.modules.head.Detect",
• "torch.HalfStorage",
• "torch.Size",
• "torch.FloatStorage",
• "ultralytics.nn.modules.block.RepBottleneck"

How to fix it?

• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "__builtin__.set",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.conv.RepConv",
• "ultralytics.utils.loss.BboxLoss",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.RepNCSPELAN4",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.block.RepCSP",
• "torch.device",
• "ultralytics.nn.modules.block.SPPELAN",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "ultralytics.utils.IterableSimpleNamespace",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch.nn.modules.conv.Conv2d",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.nn.modules.block.ADown",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.modules.head.Detect",
• "torch.HalfStorage",
• "torch.Size",
• "torch.FloatStorage",
• "ultralytics.nn.modules.block.RepBottleneck"

How to fix it?

• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.RepNCSPELAN4",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.block.RepCSP",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.utils.loss.BboxLoss",
• "torch.FloatStorage",
• "ultralytics.nn.modules.head.Detect",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.IterableSimpleNamespace",
• "torch.HalfStorage",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "torch.nn.modules.linear.Identity",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "ultralytics.nn.modules.block.RepBottleneck",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "torch.device",
• "torch.nn.modules.pooling.MaxPool2d",
• "collections.OrderedDict",
• "ultralytics.nn.modules.conv.RepConv",
• "ultralytics.nn.tasks.DetectionModel",
• "__builtin__.set",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.block.ADown",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.block.SPPELAN"

How to fix it?

• "__builtin__.set",
• "ultralytics.nn.modules.conv.Conv",
• "torch.LongStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.utils.IterableSimpleNamespace",
• "torch.Size",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.device",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.conv.RepConv",
• "torch.HalfStorage",
• "ultralytics.nn.modules.block.ADown",
• "collections.OrderedDict",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.block.RepBottleneck",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.head.Detect",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.block.RepNCSPELAN4",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch.nn.modules.linear.Identity",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "ultralytics.nn.modules.block.SPPELAN",
• "ultralytics.nn.modules.block.RepCSP",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.utils.loss.BboxLoss",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential"

How to fix it?

• "ultralytics.nn.modules.block.HGBlock",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "ultralytics.nn.modules.block.RepC3",
• "ultralytics.models.utils.loss.RTDETRDetectionLoss",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.conv.DWConv",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.sparse.Embedding",
• "torch.FloatStorage",
• "ultralytics.models.utils.ops.HungarianMatcher",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.GELU",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.loss.FocalLoss",
• "ultralytics.utils.IterableSimpleNamespace",
• "dill._dill._load_type",
• "torch.HalfStorage",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.normalization.LayerNorm",
• "ultralytics.utils.loss.VarifocalLoss",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoder",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "torch.device",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.transformer.AIFI",
• "collections.OrderedDict",
• "torch.nn.modules.activation.MultiheadAttention",
• "ultralytics.nn.modules.transformer.MLP",
• "ultralytics.nn.modules.conv.RepConv",
• "ultralytics.nn.modules.head.RTDETRDecoder",
• "ultralytics.nn.modules.block.HGStem",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.tasks.RTDETRDetectionModel",
• "ultralytics.nn.modules.transformer.MSDeformAttn",
• "torch.nn.modules.dropout.Dropout",
• "ultralytics.nn.modules.conv.LightConv"

How to fix it?

• "ultralytics.data.augment.CenterCrop",
• "torch.nn.modules.dropout.Dropout",
• "ultralytics.utils.loss.v8ClassificationLoss",
• "collections.OrderedDict",
• "ultralytics.data.augment.ToTensor",
• "torch.HalfStorage",
• "torchvision.transforms.transforms.Normalize",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.block.C2f",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "torch.FloatStorage",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.modules.head.Classify",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.container.ModuleList",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.linear.Linear",
• "ultralytics.nn.tasks.ClassificationModel",
• "dill._dill._load_type"

How to fix it?

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

How to fix it?