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MEDIAR

like 3

Runtime error

• "torch.nn.modules.dropout.Dropout",
• "segmentation_models_pytorch.encoders.mix_transformer.Mlp",
• "timm.models.layers.drop.DropPath",
• "__main__.DeepSegmantationHead",
• "segmentation_models_pytorch.decoders.manet.decoder.DecoderBlock",
• "torch.nn.modules.conv.Conv2d",
• "segmentation_models_pytorch.encoders.mix_transformer.Attention",
• "segmentation_models_pytorch.encoders.mix_transformer.Block",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "segmentation_models_pytorch.encoders.mix_transformer.MixVisionTransformerEncoder",
• "torch.LongStorage",
• "__builtin__.set",
• "torch.nn.modules.normalization.LayerNorm",
• "segmentation_models_pytorch.base.modules.Activation",
• "segmentation_models_pytorch.encoders.mix_transformer.DWConv",
• "collections.OrderedDict",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.container.ModuleList",
• "segmentation_models_pytorch.decoders.manet.decoder.MFAB",
• "torch.nn.modules.container.Sequential",
• "segmentation_models_pytorch.encoders.mix_transformer.OverlapPatchEmbed",
• "segmentation_models_pytorch.decoders.manet.decoder.PAB",
• "torch.nn.modules.linear.Linear",
• "segmentation_models_pytorch.decoders.manet.decoder.MAnetDecoder",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.activation.Mish",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "__main__.SegformerGH",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.activation.GELU",
• "torch._utils._rebuild_parameter",
• "segmentation_models_pytorch.base.modules.Conv2dReLU"

How to fix it?