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Runtime error

• "numpy.ndarray",
• "__builtin__.bytes",
• "__builtin__.set",
• "__builtin__.getattr",
• "fastai.data.load._FakeLoader",
• "_codecs.encode",
• "fastai.vision.augment.dihedral_mat",
• "timm.models.convnext.ConvNeXt",
• "fastai.data.transforms.ToTensor",
• "fastai.torch_core.TensorImage",
• "fastai.data.transforms.RegressionSetup",
• "fastai.vision.augment._WarpCoord",
• "__builtin__.float",
• "torch.nn.modules.activation.GELU",
• "fastcore.foundation.L",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.torch_core.TensorBase",
• "pandas.core.frame.DataFrame",
• "pandas.core.indexes.numeric.Int64Index",
• "fastai.optimizer.Adam",
• "fastai.torch_core.trainable_params",
• "fastai.imports.noop",
• "fastai.data.core.FilteredBase",
• "fastcore.transform.Transform",
• "fastcore.dispatch._TypeDict",
• "torch.nn.modules.linear.Linear",
• "timm.models.convnext.LayerNorm2d",
• "timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "fastai.data.core.TfmdLists",
• "fastai.learner.AvgMetric",
• "fastai.vision.augment.Dihedral",
• "__builtin__.unicode",
• "pandas.core.internals.managers.BlockManager",
• "fastcore.dispatch.TypeDispatch",
• "fastai.learner.AvgLoss",
• "fastcore.basics.fastuple",
• "fastai.callback.progress.ProgressCallback",
• "fastcore.transform.Pipeline",
• "fastai.vision.augment._ContrastLogit",
• "pathlib.Path",
• "random.Random",
• "torch.nn.modules.container.Sequential",
• "fastai.vision.augment.rotate_mat",
• "functools.partial",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "fastai.metrics.mae",
• "fastai.learner.Recorder",
• "fastai.learner.Learner",
• "timm.models.convnext.ConvNeXtBlock",
• "torch.nn.modules.dropout.Dropout",
• "collections.OrderedDict",
• "fastai.vision.core.load_image",
• "pandas.core.indexes.base._new_Index",
• "fastai.learner.AvgSmoothLoss",
• "fastai.vision.core.PILImage",
• "__builtin__.object",
• "fastai.vision.augment._BrightnessLogit",
• "fastai.data.transforms.IntToFloatTensor",
• "torch.nn.modules.flatten.Flatten",
• "torch._utils._rebuild_tensor_v2",
• "timm.models.layers.mlp.Mlp",
• "numpy.dtype",
• "fastai.data.transforms.Normalize",
• "numpy.core.multiarray.scalar",
• "__builtin__.slice",
• "fastai.vision.augment.AffineCoordTfm",
• "fastai.losses.BaseLoss",
• "fastai.data.load._wif",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter",
• "fastai.torch_core._rebuild_from_type",
• "torch.nn.modules.loss.MSELoss",
• "torch.device",
• "fastai.vision.augment.Brightness",
• "torch.Tensor",
• "cloudpickle.cloudpickle.subimport",
• "torch.nn.modules.normalization.LayerNorm",
• "timm.models.convnext.ConvNeXtStage",
• "fastai.vision.augment.SpaceTfm",
• "fastcore.basics.merge",
• "cloudpickle.cloudpickle_fast._function_setstate",
• "fastai.data.core.DataLoaders",
• "numpy.core.multiarray._reconstruct",
• "pandas.core.indexes.base.Index",
• "__builtin__.tuple",
• "fastai.data.core.Datasets",
• "cloudpickle.cloudpickle._builtin_type",
• "fastai.torch_core.TensorMask",
• "torch.nn.modules.conv.Conv2d",
• "fastai.vision.augment.Resize",
• "pathlib.PosixPath",
• "torch.cuda.amp.autocast_mode.autocast",
• "fastai.data.core.TfmdDL",
• "fastai.callback.fp16.MixedPrecision",
• "torch.FloatStorage",
• "__builtin__.print"

How to fix it?

• "numpy.ndarray",
• "__builtin__.bytes",
• "__builtin__.set",
• "__builtin__.getattr",
• "fastai.data.load._FakeLoader",
• "_codecs.encode",
• "fastai.vision.augment.dihedral_mat",
• "timm.models.convnext.ConvNeXt",
• "fastai.data.transforms.ToTensor",
• "fastai.torch_core.TensorImage",
• "fastai.data.transforms.RegressionSetup",
• "fastai.vision.augment._WarpCoord",
• "__builtin__.float",
• "fastai.metrics._rmse",
• "torch.nn.modules.activation.GELU",
• "fastcore.foundation.L",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.torch_core.TensorBase",
• "fastai.optimizer.Adam",
• "fastai.torch_core.trainable_params",
• "fastai.imports.noop",
• "fastcore.transform.Transform",
• "fastcore.dispatch._TypeDict",
• "torch.nn.modules.linear.Linear",
• "timm.models.convnext.LayerNorm2d",
• "timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "fastai.data.core.TfmdLists",
• "fastai.learner.AvgMetric",
• "fastai.vision.augment.Dihedral",
• "__builtin__.unicode",
• "fastcore.dispatch.TypeDispatch",
• "fastai.learner.AvgLoss",
• "fastai.metrics.mse",
• "fastcore.basics.fastuple",
• "fastai.callback.progress.ProgressCallback",
• "fastcore.transform.Pipeline",
• "fastai.vision.augment._ContrastLogit",
• "pathlib.Path",
• "random.Random",
• "torch.nn.modules.container.Sequential",
• "fastai.vision.augment.rotate_mat",
• "functools.partial",
• "fastai.metrics.mae",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__main__.get_masa",
• "fastai.learner.Recorder",
• "fastai.learner.Learner",
• "timm.models.convnext.ConvNeXtBlock",
• "torch.nn.modules.dropout.Dropout",
• "collections.OrderedDict",
• "fastai.learner.AvgSmoothLoss",
• "fastai.vision.core.PILImage",
• "fastai.metrics.AccumMetric",
• "__builtin__.object",
• "fastai.vision.augment._BrightnessLogit",
• "fastai.data.transforms.IntToFloatTensor",
• "torch.nn.modules.flatten.Flatten",
• "torch._utils._rebuild_tensor_v2",
• "timm.models.layers.mlp.Mlp",
• "numpy.dtype",
• "fastai.data.transforms.Normalize",
• "numpy.core.multiarray.scalar",
• "fastai.losses.BaseLoss",
• "fastai.data.load._wif",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter",
• "fastai.torch_core._rebuild_from_type",
• "torch.nn.modules.loss.MSELoss",
• "torch.device",
• "fastai.vision.augment.Brightness",
• "torch.Tensor",
• "torch.nn.modules.normalization.LayerNorm",
• "timm.models.convnext.ConvNeXtStage",
• "fastai.data.core.DataLoaders",
• "__builtin__.tuple",
• "fastai.data.core.Datasets",
• "torch.nn.modules.conv.Conv2d",
• "fastai.vision.augment.Resize",
• "pathlib.PosixPath",
• "torch.cuda.amp.autocast_mode.autocast",
• "fastai.data.core.TfmdDL",
• "fastai.callback.fp16.MixedPrecision",
• "torch.FloatStorage",
• "__builtin__.print"

How to fix it?

• "fastai.torch_core.TensorImage",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "fastcore.dispatch._TypeDict",
• "pandas.core.frame.DataFrame",
• "fastcore.foundation.L",
• "fastai.vision.core.load_image",
• "fastai.data.transforms.IntToFloatTensor",
• "fastai.data.transforms.ToTensor",
• "torch.nn.modules.linear.Linear",
• "fastai.data.transforms.RegressionSetup",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "fastai.learner.AvgMetric",
• "fastai.data.core.TfmdDL",
• "torch.nn.modules.pooling.AvgPool2d",
• "cloudpickle.cloudpickle_fast._function_setstate",
• "pandas.core.indexes.numeric.Int64Index",
• "fastai.torch_core._rebuild_from_type",
• "torch.cuda.amp.autocast_mode.autocast",
• "torch._utils._rebuild_parameter",
• "fastai.data.core.Datasets",
• "fastai.vision.augment.Resize",
• "collections.OrderedDict",
• "fastcore.basics.merge",
• "numpy.dtype",
• "__builtin__.print",
• "pandas.core.internals.managers.BlockManager",
• "__builtin__.unicode",
• "pathlib.PosixPath",
• "random.Random",
• "timm.models.layers.squeeze_excite.SEModule",
• "fastai.data.load._wif",
• "fastai.optimizer.Adam",
• "fastai.metrics.AccumMetric",
• "timm.models.resnet.ResNet",
• "fastai.data.transforms.Normalize",
• "cloudpickle.cloudpickle._builtin_type",
• "torch.device",
• "fastcore.basics.fastuple",
• "fastai.data.core.DataLoaders",
• "fastai.learner.Recorder",
• "fastcore.dispatch.TypeDispatch",
• "fastai.vision.augment.AffineCoordTfm",
• "fastai.learner.Learner",
• "fastai.vision.augment._ContrastLogit",
• "torch.nn.modules.loss.MSELoss",
• "fastai.callback.progress.ProgressCallback",
• "__builtin__.getattr",
• "fastai.callback.core.TrainEvalCallback",
• "torch.nn.modules.flatten.Flatten",
• "functools.partial",
• "fastai.vision.augment._WarpCoord",
• "fastai.vision.augment.rotate_mat",
• "fastai.torch_core.TensorBase",
• "fastai.data.core.TfmdLists",
• "torch.nn.modules.linear.Identity",
• "__builtin__.float",
• "torch.Tensor",
• "_codecs.encode",
• "cloudpickle.cloudpickle.subimport",
• "fastai.torch_core.trainable_params",
• "fastai.learner.AvgLoss",
• "fastai.vision.augment.SpaceTfm",
• "__builtin__.object",
• "fastai.vision.augment.dihedral_mat",
• "__builtin__.bytes",
• "fastai.imports.noop",
• "__builtin__.slice",
• "torch.nn.modules.conv.Conv2d",
• "numpy.core.multiarray.scalar",
• "timm.models.layers.activations.Sigmoid",
• "fastcore.transform.Pipeline",
• "timm.models.resnet.Bottleneck",
• "pathlib.Path",
• "pandas.core.indexes.base._new_Index",
• "timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "fastai.metrics._rmse",
• "fastai.learner.AvgSmoothLoss",
• "fastai.vision.augment.Dihedral",
• "torch.LongStorage",
• "__builtin__.set",
• "fastai.metrics.mae",
• "fastai.data.core.FilteredBase",
• "numpy.ndarray",
• "torch.nn.modules.activation.ReLU",
• "fastai.metrics.mse",
• "fastai.losses.BaseLoss",
• "torch.FloatStorage",
• "fastai.data.load._FakeLoader",
• "pandas.core.indexes.base.Index",
• "fastai.vision.augment.Brightness",
• "numpy.core.multiarray._reconstruct",
• "fastai.torch_core.TensorMask",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.tuple",
• "fastcore.transform.Transform",
• "fastai.vision.core.PILImage",
• "fastai.vision.augment._BrightnessLogit",
• "fastai.callback.fp16.MixedPrecision"

How to fix it?

• "fastai.data.core.TfmdDL",
• "fastcore.dispatch._TypeDict",
• "fastai.torch_core.TensorBase",
• "timm.models.resnet.ResNet",
• "fastai.metrics.AccumMetric",
• "torch.nn.modules.conv.Conv2d",
• "pathlib.PosixPath",
• "fastai.learner.AvgSmoothLoss",
• "torch.cuda.amp.autocast_mode.autocast",
• "torch.nn.modules.flatten.Flatten",
• "fastcore.dispatch.TypeDispatch",
• "fastai.vision.augment.Resize",
• "fastai.data.transforms.Normalize",
• "fastai.data.core.Datasets",
• "__builtin__.getattr",
• "torch.nn.modules.pooling.AvgPool2d",
• "_codecs.encode",
• "torch.LongStorage",
• "timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "fastai.torch_core.trainable_params",
• "pathlib.Path",
• "torch.device",
• "collections.OrderedDict",
• "fastai.callback.progress.ProgressCallback",
• "__builtin__.tuple",
• "fastai.learner.Learner",
• "fastai.metrics._rmse",
• "__builtin__.set",
• "fastai.losses.BaseLoss",
• "__main__.get_volumen",
• "random.Random",
• "fastai.callback.fp16.MixedPrecision",
• "fastcore.foundation.L",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "fastcore.basics.fastuple",
• "fastai.optimizer.Adam",
• "fastcore.transform.Pipeline",
• "__builtin__.object",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Identity",
• "fastai.vision.augment.dihedral_mat",
• "timm.models.resnet.Bottleneck",
• "fastai.metrics.mse",
• "fastai.vision.augment.Brightness",
• "torch._utils._rebuild_tensor_v2",
• "fastai.learner.Recorder",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "numpy.ndarray",
• "fastai.metrics.mae",
• "fastai.vision.augment._WarpCoord",
• "torch.nn.modules.loss.MSELoss",
• "torch.FloatStorage",
• "torch.nn.modules.activation.ReLU",
• "timm.models.layers.squeeze_excite.SEModule",
• "fastai.vision.augment._ContrastLogit",
• "fastai.vision.core.PILImage",
• "fastai.data.load._wif",
• "fastai.vision.augment.rotate_mat",
• "fastcore.transform.Transform",
• "__builtin__.float",
• "fastai.vision.augment.Dihedral",
• "fastai.torch_core.TensorImage",
• "__builtin__.print",
• "fastai.data.core.DataLoaders",
• "numpy.dtype",
• "fastai.data.transforms.RegressionSetup",
• "fastai.callback.core.TrainEvalCallback",
• "timm.models.layers.activations.Sigmoid",
• "fastai.vision.augment._BrightnessLogit",
• "fastai.data.core.TfmdLists",
• "__builtin__.unicode",
• "fastai.data.transforms.IntToFloatTensor",
• "__builtin__.bytes",
• "fastai.torch_core._rebuild_from_type",
• "numpy.core.multiarray.scalar",
• "fastai.learner.AvgMetric",
• "fastai.data.load._FakeLoader",
• "fastai.data.transforms.ToTensor",
• "torch._utils._rebuild_parameter",
• "fastai.learner.AvgLoss",
• "functools.partial",
• "torch.nn.modules.linear.Linear",
• "fastai.imports.noop",
• "torch.Tensor"

How to fix it?