hiendang7613

/

UniMaskDINO_7_7_25_base_base_448_temp

like 0

• "collections.OrderedDict",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoder",
• "sam2.modeling.backbones.hieradet.MultiScaleAttention",
• "transformers.models.dino_detr.configuration_dino_detr.DinoDetrConfig",
• "sam2.modeling.backbones.utils.PatchEmbed",
• "__builtin__.getattr",
• "__main__.DinoDetrPositionEmbeddingSineHW",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.dinov2.configuration_dinov2.Dinov2Config",
• "__builtin__.list",
• "transformers.models.dinov2.modeling_dinov2.Dinov2Attention",
• "transformers.models.dinov2.modeling_dinov2.Dinov2Encoder",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.dinov2.modeling_dinov2.Dinov2MLP",
• "__builtin__.dict",
• "transformers.activations.GELUActivation",
• "transformers.models.detr.modeling_detr.DetrAttention",
• "torch._C._nn.gelu",
• "torch.float32",
• "torch.nn.modules.pooling.MaxPool2d",
• "__main__.DinoDetrDecoderLayer",
• "sam2.modeling.backbones.image_encoder.ImageEncoder",
• "torch.nn.modules.activation.ReLU",
• "collections.defaultdict",
• "omegaconf.listconfig.ListConfig",
• "__main__.DinoDetrMLPPredictionHead",
• "__builtin__.set",
• "torch.nn.functional.relu",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerMaskPredictor",
• "sam2.modeling.backbones.hieradet.Hiera",
• "torch.nn.modules.container.Sequential",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoderEncoderOnly",
• "transformers.models.dinov2.modeling_dinov2.Dinov2Model",
• "__main__.DinoDetrEncoderLayer",
• "__builtin__.long",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.dinov2.modeling_dinov2.Dinov2SelfOutput",
• "torch.FloatStorage",
• "transformers.loss.loss_deformable_detr.DeformableDetrForSegmentationLoss",
• "transformers.models.dinov2.modeling_dinov2.Dinov2PatchEmbeddings",
• "sam2.modeling.position_encoding.PositionEmbeddingSine",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "__main__.DinoDetrMultiscaleDeformableAttention",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoderEncoderMultiscaleDeformableAttention",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.MultiheadAttention",
• "sam2.modeling.backbones.image_encoder.FpnNeck",
• "transformers.models.dinov2.modeling_dinov2.Dinov2Embeddings",
• "__main__.DinoDetrModel",
• "sam2.modeling.sam2_utils.MLP",
• "omegaconf.base.ContainerMetadata",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.normalization.GroupNorm",
• "__main__.DinoDetrEncoderDecoder",
• "typing.Any",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerSinePositionEmbedding",
• "omegaconf.nodes.AnyNode",
• "transformers.models.dinov2.modeling_dinov2.Dinov2Layer",
• "__main__.MultiScaleDeformableAttention",
• "__main__.BigModel",
• "__main__.DinoDetrDecoder",
• "sam2.modeling.backbones.hieradet.MultiScaleBlock",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerPredictionBlock",
• "torch.nn.modules.linear.Identity",
• "__main__.DinoDetrForObjectDetection",
• "__main__.DinoDetrEncoder",
• "transformers.models.dinov2.modeling_dinov2.Dinov2LayerScale",
• "transformers.models.dinov2.modeling_dinov2.Dinov2SelfAttention",
• "torch.nn.modules.activation.GELU",
• "omegaconf.base.Metadata",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerMLPPredictionHead",
• "transformers.models.mask2former.modeling_mask2former.Mask2FormerPixelDecoderEncoderLayer"

How to fix it?