godx7

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DeH4R

like 2

• "sam2.sam2.modeling.backbones.hieradet.MultiScaleBlock",
• "torch._utils._rebuild_parameter",
• "sam2.sam2.modeling.sam2_utils.MLP",
• "sam.segment_anything.modeling.common.LayerNorm2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "collections.OrderedDict",
• "model.MaskDecoder",
• "torchmetrics.classification.jaccard.BinaryJaccardIndex",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.normalization.LayerNorm",
• "matcher.HungarianMatcher",
• "sam2.sam2.modeling.backbones.hieradet.Hiera",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "sam2.sam2.modeling.position_encoding.PositionEmbeddingSine",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.ConvTranspose2d",
• "easydict.EasyDict",
• "model.TopoDecoder",
• "torch.nn.modules.sparse.Embedding",
• "torchmetrics.metric.jit_distributed_available",
• "torch.nn.modules.transformer.TransformerDecoder",
• "torch.nn.modules.pooling.MaxPool2d",
• "__builtin__.set",
• "sam2.sam2.modeling.backbones.utils.PatchEmbed",
• "torchmetrics.utilities.data.dim_zero_sum",
• "torch.nn.modules.transformer.TransformerDecoderLayer",
• "torch.device",
• "torch.nn.functional.relu",
• "sam2.sam2.modeling.backbones.hieradet.MultiScaleAttention",
• "sam2.sam2.modeling.backbones.image_encoder.ImageEncoder",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.dropout.Dropout",
• "criterion.Criterion",
• "torch.LongStorage",
• "torch.nn.modules.linear.Identity",
• "sam2.sam2.modeling.backbones.image_encoder.FpnNeck",
• "model.R2RC",
• "torch.float32",
• "torch.nn.modules.conv.Conv2d"

How to fix it?

• "sam2.sam2.modeling.backbones.hieradet.MultiScaleBlock",
• "torch._utils._rebuild_parameter",
• "sam2.sam2.modeling.sam2_utils.MLP",
• "sam.segment_anything.modeling.common.LayerNorm2d",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "collections.OrderedDict",
• "model.MaskDecoder",
• "torchmetrics.classification.jaccard.BinaryJaccardIndex",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.normalization.LayerNorm",
• "matcher.HungarianMatcher",
• "sam2.sam2.modeling.backbones.hieradet.Hiera",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "sam2.sam2.modeling.position_encoding.PositionEmbeddingSine",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.ConvTranspose2d",
• "easydict.EasyDict",
• "model.TopoDecoder",
• "torch.nn.modules.sparse.Embedding",
• "torchmetrics.metric.jit_distributed_available",
• "torch.nn.modules.transformer.TransformerDecoder",
• "torch.nn.modules.pooling.MaxPool2d",
• "__builtin__.set",
• "sam2.sam2.modeling.backbones.utils.PatchEmbed",
• "torchmetrics.utilities.data.dim_zero_sum",
• "torch.nn.modules.transformer.TransformerDecoderLayer",
• "torch.device",
• "torch.nn.functional.relu",
• "sam2.sam2.modeling.backbones.hieradet.MultiScaleAttention",
• "sam2.sam2.modeling.backbones.image_encoder.ImageEncoder",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.dropout.Dropout",
• "criterion.Criterion",
• "torch.LongStorage",
• "torch.nn.modules.linear.Identity",
• "sam2.sam2.modeling.backbones.image_encoder.FpnNeck",
• "model.R2RC",
• "torch.float32",
• "torch.nn.modules.conv.Conv2d"

How to fix it?