Spaces:

fhatje

/

glomseg

like 1

Runtime error

• "fastai.callback.training.GradientAccumulation",
• "segmentation_models_pytorch.base.modules.Activation",
• "fastai.data.core.Datasets",
• "fastai.metrics.JaccardCoeff",
• "__builtin__.long",
• "torch.Tensor",
• "__builtin__.print",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Identity",
• "inspect.Signature",
• "fastai.vision.core.PILImage",
• "__builtin__.tuple",
• "inspect._empty",
• "fastai.learner.Recorder",
• "torch._utils._rebuild_parameter",
• "fastcore.transform.Pipeline",
• "fastai.vision.augment.zoom_mat",
• "torch.LongStorage",
• "segmentation_models_pytorch.encoders.efficientnet.EfficientNetEncoder",
• "torch.nn.modules.container.ModuleDict",
• "fastai.learner.AvgSmoothLoss",
• "torch.nn.modules.activation.ReLU",
• "fastai.learner.CastToTensor",
• "fastai.callback.progress.ProgressCallback",
• "fastai.vision.core.AddMaskCodes",
• "functools.partial",
• "torch._utils._rebuild_tensor_v2",
• "segmentation_models_pytorch.base.modules.Attention",
• "fastai.vision.augment.Brightness",
• "torch.nn.modules.padding.ZeroPad2d",
• "inspect._ParameterKind",
• "collections.OrderedDict",
• "segmentation_models_pytorch.decoders.unetplusplus.model.UnetPlusPlus",
• "fastai.torch_core.TensorBase",
• "fastcore.dispatch._TypeDict",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "__builtin__.set",
• "fastcore.basics.fastuple",
• "PIL.Image.Resampling",
• "fastai.data.core.TfmdDL",
• "pandas.core.series.Series",
• "fastai.data.core.DataLoaders",
• "fastai.vision.augment.Resize",
• "fastai.torch_core.TensorImage",
• "fastcore.transform.Transform",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "torch.FloatStorage",
• "__main__.x_getter",
• "__builtin__.float",
• "segmentation_models_pytorch.decoders.unetplusplus.decoder.UnetPlusPlusDecoder",
• "fastai.data.core.TfmdLists",
• "segmentation_models_pytorch.base.modules.Conv2dReLU",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "numpy.dtype",
• "fastai.vision.augment._ContrastLogit",
• "efficientnet_pytorch.utils.BlockArgs",
• "__builtin__.object",
• "fastai.vision.augment.dihedral_mat",
• "torch.nn.modules.conv.Conv2d",
• "pathlib.PosixPath",
• "efficientnet_pytorch.utils.MemoryEfficientSwish",
• "__builtin__.unicode",
• "torch.nn.modules.dropout.Dropout",
• "numpy.ndarray",
• "fastai.vision.augment._BrightnessLogit",
• "torch.device",
• "sklearn.metrics._ranking.roc_auc_score",
• "fastai.data.load._FakeLoader",
• "__main__.y_getter",
• "fastai.vision.augment.Dihedral",
• "__builtin__.bytes",
• "fastai.data.transforms.IntToFloatTensor",
• "fastai.optimizer.Adam",
• "fastai.imports.noop",
• "fastai.vision.augment.rotate_mat",
• "efficientnet_pytorch.model.MBConvBlock",
• "_codecs.encode",
• "fastai.callback.core.TrainEvalCallback",
• "fastcore.foundation.L",
• "fastai.learner.AvgLoss",
• "efficientnet_pytorch.utils.GlobalParams",
• "fastai.metrics.AccumMetric",
• "fastcore.dispatch.TypeDispatch",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "random.Random",
• "fastai.torch_core.TensorMask",
• "segmentation_models_pytorch.decoders.unetplusplus.decoder.DecoderBlock",
• "inspect.Parameter",
• "numpy.core.multiarray.scalar",
• "fastai.vision.augment._WarpCoord",
• "fastai.metrics.Dice",
• "fastai.learner.Learner",
• "__main__.splitter",
• "fastai.torch_core._rebuild_from_type",
• "fastai.data.transforms.ToTensor",
• "numpy.core._multiarray_umath.less",
• "fastai.losses.CrossEntropyLossFlat",
• "fastai.callback.tracker.SaveModelCallback",
• "fastai.vision.core.PILMask",
• "pathlib.Path",
• "fastai.data.load._wif",
• "__builtin__.getattr",
• "efficientnet_pytorch.utils.Conv2dStaticSamePadding"

How to fix it?