ENSTA-U2IS

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PASTA_weights

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ENSTA U2IS 16

• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms._presets.ImageClassification",
• "torch.FloatStorage",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.resnet.Bottleneck"

How to fix it?

• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms._presets.ImageClassification",
• "torch.FloatStorage",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.resnet.Bottleneck"

How to fix it?

• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms._presets.ImageClassification",
• "torch.FloatStorage",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.resnet.Bottleneck"

How to fix it?

• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms._presets.ImageClassification",
• "torch.FloatStorage",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.resnet.Bottleneck"

How to fix it?

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "models.cbm_supervised.CBMsupervised",
• "torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.LongStorage",
• "torchvision.models.resnet.Bottleneck",
• "numpy.dtype",
• "_codecs.encode",
• "torch.nn.modules.activation.Sigmoid",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.conv.Conv2d",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "numpy.ndarray"

How to fix it?

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "models.cbm_supervised.CBMsupervised",
• "torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.LongStorage",
• "torchvision.models.resnet.Bottleneck",
• "numpy.dtype",
• "_codecs.encode",
• "torch.nn.modules.activation.Sigmoid",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.conv.Conv2d",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "numpy.ndarray"

How to fix it?

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "models.cbm_supervised.CBMsupervised",
• "torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.LongStorage",
• "torchvision.models.resnet.Bottleneck",
• "numpy.dtype",
• "_codecs.encode",
• "torch.nn.modules.activation.Sigmoid",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.conv.Conv2d",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "numpy.ndarray"

How to fix it?

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "models.cbm_supervised.CBMsupervised",
• "torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.LongStorage",
• "torchvision.models.resnet.Bottleneck",
• "numpy.dtype",
• "_codecs.encode",
• "torch.nn.modules.activation.Sigmoid",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.conv.Conv2d",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "numpy.ndarray"

How to fix it?

• "clip.model.VisionTransformer",
• "__builtin__.set",
• "clip.model.CLIP",
• "clip.model.QuickGELU",
• "models.clip_labo.CLIPLaBo",
• "clip.model.ResidualAttentionBlock",
• "torchvision.transforms.transforms.ToTensor",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Compose",
• "collections.OrderedDict",
• "torch.HalfStorage",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Normalize",
• "torch.nn.modules.sparse.Embedding",
• "torch.FloatStorage",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.CenterCrop",
• "clip.clip._convert_image_to_rgb",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.transforms.Resize",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "clip.model.VisionTransformer",
• "__builtin__.set",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Resize",
• "models.clip_labo.CLIPLaBo"

How to fix it?

• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "clip.model.VisionTransformer",
• "__builtin__.set",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Resize",
• "models.clip_labo.CLIPLaBo"

How to fix it?

• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "clip.model.VisionTransformer",
• "__builtin__.set",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Resize",
• "models.clip_labo.CLIPLaBo"

How to fix it?

• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "models.clip_linear.CLIPLinear",
• "__builtin__.set",
• "clip.model.VisionTransformer",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Resize"

How to fix it?

• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "models.clip_linear.CLIPLinear",
• "__builtin__.set",
• "clip.model.VisionTransformer",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Resize"

How to fix it?

• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "models.clip_linear.CLIPLinear",
• "__builtin__.set",
• "clip.model.VisionTransformer",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Resize"

How to fix it?

• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "models.clip_linear.CLIPLinear",
• "__builtin__.set",
• "clip.model.VisionTransformer",
• "clip.model.LayerNorm",
• "torchvision.transforms.transforms.Resize"

How to fix it?

• "models.clip_qda.CLIPQDA",
• "clip.clip._convert_image_to_rgb",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis",
• "torch.FloatStorage",
• "clip.model.QuickGELU",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.ResidualAttentionBlock",
• "torch.HalfStorage",
• "torch.nn.modules.activation.MultiheadAttention",
• "torchvision.transforms.transforms.ToTensor",
• "numpy.dtype",
• "_codecs.encode",
• "torch.nn.modules.sparse.Embedding",
• "models.clip_qda.QDAPyTorch",
• "numpy.core.multiarray.scalar",
• "clip.model.CLIP",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "clip.model.Transformer",
• "numpy.core.multiarray._reconstruct",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.container.Sequential",
• "clip.model.VisionTransformer",
• "__builtin__.set",
• "clip.model.LayerNorm",
• "numpy.ndarray",
• "torchvision.transforms.transforms.Resize"

How to fix it?

• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.MultiheadAttention",
• "models.clip_qda.CLIPQDA",
• "clip.model.VisionTransformer",
• "clip.model.Transformer",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.ToTensor",
• "torch.HalfStorage",
• "torchvision.transforms.transforms.CenterCrop",
• "collections.OrderedDict",
• "_codecs.encode",
• "torch.FloatStorage",
• "__builtin__.set",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "numpy.ndarray",
• "models.clip_qda.QDAPyTorch",
• "clip.model.LayerNorm",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torchvision.transforms.functional.InterpolationMode",
• "sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis",
• "torch.nn.modules.sparse.Embedding",
• "numpy.dtype",
• "torchvision.transforms.transforms.Resize",
• "numpy.core.multiarray._reconstruct",
• "clip.model.QuickGELU",
• "clip.clip._convert_image_to_rgb",
• "torchvision.transforms.transforms.Normalize",
• "clip.model.CLIP",
• "clip.model.ResidualAttentionBlock",
• "numpy.core.multiarray.scalar"

How to fix it?

• "models.clip_qda.QDAPyTorch",
• "numpy.core.multiarray._reconstruct",
• "numpy.core.multiarray.scalar",
• "torchvision.transforms.functional.InterpolationMode",
• "clip.model.CLIP",
• "torchvision.transforms.transforms.CenterCrop",
• "torchvision.transforms.transforms.Resize",
• "torchvision.transforms.transforms.Normalize",
• "torchvision.transforms.transforms.Compose",
• "clip.model.VisionTransformer",
• "torch.nn.modules.conv.Conv2d",
• "models.clip_qda.CLIPQDA",
• "numpy.dtype",
• "clip.model.ResidualAttentionBlock",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "collections.OrderedDict",
• "clip.model.QuickGELU",
• "_codecs.encode",
• "torch.nn.modules.sparse.Embedding",
• "clip.clip._convert_image_to_rgb",
• "torchvision.transforms.transforms.ToTensor",
• "torch.HalfStorage",
• "clip.model.LayerNorm",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis",
• "clip.model.Transformer",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.activation.MultiheadAttention",
• "numpy.ndarray",
• "__builtin__.set"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "models.clip_qda.QDAPyTorch",
• "torchvision.transforms.transforms.CenterCrop",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.sparse.Embedding",
• "clip.model.Transformer",
• "torchvision.transforms.transforms.Normalize",
• "_codecs.encode",
• "clip.model.VisionTransformer",
• "__builtin__.set",
• "clip.clip._convert_image_to_rgb",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "torchvision.transforms.transforms.Compose",
• "clip.model.QuickGELU",
• "numpy.ndarray",
• "clip.model.LayerNorm",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.FloatStorage",
• "sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.HalfStorage",
• "models.clip_qda.CLIPQDA",
• "clip.model.ResidualAttentionBlock",
• "torchvision.transforms.transforms.ToTensor",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Resize",
• "clip.model.CLIP",
• "torch.nn.modules.container.Sequential"

How to fix it?

• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection._utils.Matcher",
• "__builtin__.set",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "torchvision.ops.boxes.box_iou",
• "torchvision.ops.poolers.LevelMapper",
• "collections.OrderedDict",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Linear",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torch.nn.modules.pooling.MaxPool2d",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torch.FloatStorage",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.models.resnet.Bottleneck",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torch.nn.modules.container.ModuleList",
• "torchvision.models.detection._utils.BoxCoder",
• "torch._utils._rebuild_parameter",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torch.nn.modules.activation.ReLU",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torchvision.models._utils.IntermediateLayerGetter"

How to fix it?

• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.ops.poolers.LevelMapper",
• "torchvision.models.resnet.Bottleneck",
• "torchvision.models.detection._utils.BoxCoder",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.boxes.box_iou",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "__builtin__.set",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection._utils.Matcher",
• "torchvision.ops.misc.Conv2dNormActivation"

How to fix it?

• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.MaxPool2d",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.ops.boxes.box_iou",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torch.nn.modules.linear.Linear",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torchvision.models.resnet.Bottleneck",
• "collections.OrderedDict",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torch.FloatStorage",
• "torchvision.models.detection._utils.Matcher",
• "__builtin__.set",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.poolers.LevelMapper",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection._utils.BoxCoder",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch.nn.modules.activation.ReLU",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torchvision.ops.misc.FrozenBatchNorm2d"

How to fix it?

• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.ops.poolers.LevelMapper",
• "torchvision.models.resnet.Bottleneck",
• "torchvision.models.detection._utils.BoxCoder",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.boxes.box_iou",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "__builtin__.set",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection._utils.Matcher",
• "torchvision.ops.misc.Conv2dNormActivation"

How to fix it?

• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.ops.poolers.LevelMapper",
• "torchvision.models.resnet.Bottleneck",
• "torchvision.models.detection._utils.BoxCoder",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.boxes.box_iou",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "__builtin__.set",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection._utils.Matcher",
• "torchvision.ops.misc.Conv2dNormActivation"

How to fix it?

• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.models.resnet.Bottleneck",
• "models.xnesyl.Xnesyl",
• "torchvision.models.detection._utils.BoxCoder",
• "_codecs.encode",
• "numpy.dtype",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torch.nn.modules.activation.Sigmoid",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "sklearn.linear_model._logistic.LogisticRegression",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.boxes.box_iou",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "__builtin__.set",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection._utils.Matcher",
• "numpy.ndarray",
• "torchvision.ops.misc.Conv2dNormActivation"

How to fix it?

• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.models.resnet.Bottleneck",
• "models.xnesyl.Xnesyl",
• "torchvision.models.detection._utils.BoxCoder",
• "_codecs.encode",
• "numpy.dtype",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torch.nn.modules.activation.Sigmoid",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "sklearn.linear_model._logistic.LogisticRegression",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.boxes.box_iou",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "__builtin__.set",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection._utils.Matcher",
• "numpy.ndarray",
• "torchvision.ops.misc.Conv2dNormActivation"

How to fix it?

• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.models.resnet.Bottleneck",
• "models.xnesyl.Xnesyl",
• "torchvision.models.detection._utils.BoxCoder",
• "_codecs.encode",
• "numpy.dtype",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torch.nn.modules.activation.Sigmoid",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "sklearn.linear_model._logistic.LogisticRegression",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.boxes.box_iou",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "__builtin__.set",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection._utils.Matcher",
• "numpy.ndarray",
• "torchvision.ops.misc.Conv2dNormActivation"

How to fix it?

• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.models.resnet.Bottleneck",
• "models.xnesyl.Xnesyl",
• "torchvision.models.detection._utils.BoxCoder",
• "_codecs.encode",
• "numpy.dtype",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torch.nn.modules.activation.Sigmoid",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "sklearn.linear_model._logistic.LogisticRegression",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torchvision.transforms._presets.ImageClassification",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.boxes.box_iou",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "numpy.memmap",
• "__builtin__.set",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.detection._utils.Matcher",
• "numpy.ndarray",
• "torchvision.ops.misc.Conv2dNormActivation"

How to fix it?

• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms._presets.ImageClassification",
• "torch.FloatStorage",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.resnet.Bottleneck"

How to fix it?

• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "models.resnet.Resnet50",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms._presets.ImageClassification",
• "torch.FloatStorage",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.models.resnet.Bottleneck"

How to fix it?