Aaaapril

/

PhaseNet-TF_Alaska

like 0

• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.activation.ReLU",
• "torch._utils._rebuild_parameter",
• "segmentation_models_pytorch.encoders.resnet.ResNetEncoder",
• "torch.optim.adamw.AdamW",
• "omegaconf.dictconfig.DictConfig",
• "torch.optim.lr_scheduler.MultiStepLR",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "segmentation_models_pytorch.base.modules.Activation",
• "__builtin__.long",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPPooling",
• "torch.LongStorage",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.SeparableConv2d",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "omegaconf.base.Metadata",
• "omegaconf.listconfig.ListConfig",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.dict",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "omegaconf.base.ContainerMetadata",
• "src.models.components.deeplabv3p.DeepLabV3Plus",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPSeparableConv",
• "collections.defaultdict",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.Identity",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPP",
• "collections.Counter",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.DeepLabV3PlusDecoder",
• "functools.partial",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.list",
• "typing.Any",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "torchvision.models.resnet.BasicBlock",
• "__builtin__.set",
• "torch.FloatStorage"

How to fix it?

• "omegaconf.nodes.AnyNode",
• "omegaconf.dictconfig.DictConfig",
• "torchvision.models.resnet.BasicBlock",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPPooling",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "torch.nn.modules.linear.Linear",
• "src.models.components.deeplabv3p.DeepLabV3Plus",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPSeparableConv",
• "__builtin__.dict",
• "segmentation_models_pytorch.base.modules.Activation",
• "torch.LongStorage",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPP",
• "torch.nn.modules.dropout.Dropout",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.SeparableConv2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Identity",
• "functools.partial",
• "omegaconf.base.Metadata",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "__builtin__.long",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.container.ModuleList",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.DeepLabV3PlusDecoder",
• "collections.defaultdict",
• "omegaconf.base.ContainerMetadata",
• "collections.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.set",
• "__builtin__.list",
• "segmentation_models_pytorch.encoders.resnet.ResNetEncoder",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.optim.lr_scheduler.MultiStepLR",
• "typing.Any",
• "torch.optim.adamw.AdamW",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "collections.Counter",
• "omegaconf.listconfig.ListConfig"

How to fix it?