Datasets:

---

abhijitbetigeri

/

dc-ops-dataset

like 0

• "__builtin__.set",
• "torch.nn.modules.upsampling.Upsample",
• "torch.HalfStorage",
• "ultralytics.nn.modules.head.Segment",
• "torch.FloatStorage",
• "torch.nn.modules.conv.ConvTranspose2d",
• "torch.Size",
• "ultralytics.nn.modules.block.SPPF",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.conv.Concat",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.tasks.SegmentationModel",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.block.Proto",
• "torch.LongStorage",
• "torch.nn.modules.activation.SiLU",
• "collections.OrderedDict"

How to fix it?

• "__builtin__.set",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.tasks.SegmentationModel",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.pooling.MaxPool2d",
• "collections.OrderedDict",
• "ultralytics.nn.modules.block.C2f",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torch.HalfStorage",
• "torch._utils._rebuild_parameter",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.nn.modules.conv.Conv",
• "torch.FloatStorage",
• "ultralytics.nn.modules.head.Segment",
• "ultralytics.nn.modules.block.SPPF",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.nn.modules.block.Proto",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.conv.ConvTranspose2d"

How to fix it?

• "__builtin__.set",
• "torch.LongStorage",
• "torchvision.models.detection.retinanet.RetinaNetRegressionHead",
• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torch.nn.modules.normalization.GroupNorm",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.models.detection._utils.BoxCoder",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.container.ModuleList",
• "torchvision.models.detection.retinanet.RetinaNet",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "torchvision.models.detection._utils.Matcher",
• "torchvision.models.resnet.Bottleneck",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.ops.feature_pyramid_network.LastLevelP6P7",
• "torch.nn.modules.activation.ReLU",
• "torchvision.models.detection.retinanet.RetinaNetHead",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.models.detection.retinanet.RetinaNetClassificationHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torch.nn.modules.pooling.MaxPool2d",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork"

How to fix it?