PablitoGil14

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AP-Practica3

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• "builtins.tuple",
• "fastcore.foundation.L",
• "numpy.dtype",
• "builtins.print",
• "fastai.data.core.Datasets",
• "fastai.vision.core.PILMask",
• "fastai.layers.ToTensorBase",
• "fastai.data.core.TfmdLists",
• "fastai.learner.AvgSmoothLoss",
• "torch.nn.modules.container.ModuleList",
• "__main__.get_y_fn",
• "inspect._ParameterKind",
• "fastai.layers.PixelShuffle_ICNR",
• "fastai.vision.models.unet.ResizeToOrig",
• "builtins.int",
• "fastcore.basics.fastuple",
• "fastai.data.load._wif",
• "fastcore.dispatch._TypeDict",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "__main__.TargetMaskConvertTransform",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "fastai.layers.ResBlock",
• "inspect.Signature",
• "builtins.bytes",
• "fastai.vision.models.unet.DynamicUnet",
• "fastai.learner.Learner",
• "fastai.data.transforms.ToTensor",
• "pathlib.Path",
• "builtins.getattr",
• "torch.Tensor",
• "fastai.learner.CastToTensor",
• "numpy.ndarray",
• "fastai.losses.CrossEntropyLossFlat",
• "fastai.torch_core._rebuild_from_type",
• "fastai.data.core.DataLoaders",
• "fastcore.transform.Transform",
• "fastai.callback.fp16.MixedPrecision",
• "albumentations.augmentations.geometric.transforms.HorizontalFlip",
• "fastai.vision.augment.Resize",
• "torch.device",
• "torch.nn.modules.conv.Conv2d",
• "torch.utils.hooks.RemovableHandle",
• "inspect.Parameter",
• "torch._utils._rebuild_parameter",
• "fastai.data.transforms.Normalize",
• "albumentations.core.composition.Compose",
• "fastai.data.load._FakeLoader",
• "fastai.vision.core.AddMaskCodes",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "PIL.Image.Image",
• "torch.LongStorage",
• "albumentations.augmentations.geometric.transforms.GridDistortion",
• "fastcore.transform.Pipeline",
• "fastai.vision.learner._resnet_split",
• "albumentations.augmentations.geometric.rotate.Rotate",
• "fastai.data.core.TfmdDL",
• "torch.nn.modules.activation.ReLU",
• "torchvision.models.resnet.BasicBlock",
• "fastai.imports.noop",
• "fastai.callback.fp16.AMPMode",
• "torchvision.models.resnet.resnet18",
• "PIL.Image.Resampling",
• "numpy.core.multiarray.scalar",
• "builtins.str",
• "fastai.learner.Recorder",
• "fastai.callback.hook._hook_inner",
• "numpy.core.multiarray._reconstruct",
• "fastai.learner.AvgLoss",
• "random.Random",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "fastai.metrics.DiceMulti",
• "builtins.float",
• "fastai.vision.models.unet.UnetBlock",
• "fastai.torch_core.TensorBase",
• "torch.nn.modules.container.Sequential",
• "fastai.torch_core.TensorMask",
• "fastai.optimizer.Adam",
• "fastai.layers.ConvLayer",
• "fastai.torch_core.TensorImage",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.callback.progress.ProgressCallback",
• "__main__.SegmentationAlbumentationsTransform",
• "fastcore.dispatch.TypeDispatch",
• "fastai.callback.hook.Hook",
• "fastai.layers.MergeLayer",
• "fastai.data.transforms.IntToFloatTensor",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_tensor_v2",
• "pathlib.PosixPath",
• "builtins.object",
• "fastai.vision.core.PILImage",
• "inspect._empty",
• "fastai.callback.hook.Hooks"

How to fix it?