CEMAC

/

LeeWaveNet

like 0

Follow

Center for Environmetal Modelling and Computation 3

• "fastai.callback.hook.Hook",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "fastai.learner.AvgSmoothLoss",
• "fastai.data.core.TfmdDL",
• "fastai.torch_core.trainable_params",
• "__builtin__.object",
• "random.Random",
• "__builtin__.print",
• "inspect.Signature",
• "fastcore.transform.Pipeline",
• "fastcore.transform.Transform",
• "fastcore.dispatch.TypeDispatch",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.MaxPool2d",
• "inspect.Parameter",
• "fastai.layers.ToTensorBase",
• "_codecs.encode",
• "torch.device",
• "__main__.label_func_amp",
• "torch.Tensor",
• "fastai.data.transforms.ToTensor",
• "numpy.dtype",
• "fastai.learner.CastToTensor",
• "fastai.vision.models.unet.ResizeToOrig",
• "fastai.callback.hook._hook_inner",
• "fastai.callback.progress.ProgressCallback",
• "fastai.vision.models.unet.UnetBlock",
• "fastai.layers.MergeLayer",
• "__builtin__.set",
• "fastai.data.load._wif",
• "__builtin__.tuple",
• "fastai.layers.ResBlock",
• "torch._utils._rebuild_tensor_v2",
• "fastai.losses.BaseLoss",
• "inspect._empty",
• "torch.nn.modules.container.Sequential",
• "torch._tensor._rebuild_from_type_v2",
• "fastai.callback.hook.Hooks",
• "torch.nn.modules.loss.MSELoss",
• "torch.nn.modules.conv.Conv2d",
• "pathlib.PosixPath",
• "numpy.ndarray",
• "fastai.data.core.TfmdLists",
• "torch.LongStorage",
• "fastai.vision.models.unet.DynamicUnet",
• "torchvision.models.resnet.BasicBlock",
• "torch._utils._rebuild_parameter",
• "__main__.open_np",
• "numpy.core.multiarray.scalar",
• "fastcore.dispatch._TypeDict",
• "torch.utils.hooks.RemovableHandle",
• "fastai.learner.AvgLoss",
• "__builtin__.unicode",
• "fastai.data.transforms.Normalize",
• "fastai.layers.PixelShuffle_ICNR",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "fastai.torch_core.TensorBase",
• "fastai.learner.Learner",
• "fastai.data.core.DataLoaders",
• "fastai.learner.Recorder",
• "fastai.data.core.Datasets",
• "fastai.layers.ConvLayer",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "fastcore.foundation.L",
• "torch.nn.modules.activation.ReLU",
• "fastai.optimizer.Adam",
• "__builtin__.getattr",
• "inspect._ParameterKind",
• "fastai.data.load._FakeLoader",
• "fastai.callback.core.TrainEvalCallback"

How to fix it?

• "fastai.data.core.DataLoaders",
• "torchvision.models.resnet.BasicBlock",
• "fastai.data.core.TfmdLists",
• "fastai.callback.hook._hook_inner",
• "inspect._ParameterKind",
• "__builtin__.getattr",
• "fastcore.foundation.L",
• "fastai.losses.BaseLoss",
• "fastai.data.core.TfmdDL",
• "fastai.layers.PixelShuffle_ICNR",
• "fastai.optimizer.Adam",
• "fastai.learner.Recorder",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.activation.ReLU",
• "numpy.core.multiarray.scalar",
• "fastai.data.transforms.Normalize",
• "_codecs.encode",
• "fastai.learner.CastToTensor",
• "__builtin__.tuple",
• "fastai.data.load._FakeLoader",
• "fastai.data.core.Datasets",
• "fastai.learner.AvgSmoothLoss",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "__main__.label_func_or",
• "torch.FloatStorage",
• "fastai.vision.models.unet.DynamicUnet",
• "fastai.vision.models.unet.ResizeToOrig",
• "fastcore.transform.Transform",
• "torch.nn.modules.conv.Conv2d",
• "torch._tensor._rebuild_from_type_v2",
• "torch.device",
• "inspect.Signature",
• "fastai.layers.ToTensorBase",
• "random.Random",
• "fastai.learner.AvgLoss",
• "fastai.torch_core.TensorBase",
• "torch.Tensor",
• "__builtin__.unicode",
• "inspect._empty",
• "__builtin__.set",
• "numpy.dtype",
• "fastcore.transform.Pipeline",
• "collections.OrderedDict",
• "fastai.data.load._wif",
• "fastai.callback.hook.Hook",
• "fastai.callback.hook.Hooks",
• "__main__.open_np",
• "fastai.layers.ResBlock",
• "fastai.callback.core.TrainEvalCallback",
• "fastcore.dispatch.TypeDispatch",
• "fastai.vision.models.unet.UnetBlock",
• "pathlib.PosixPath",
• "inspect.Parameter",
• "fastai.callback.progress.ProgressCallback",
• "fastai.layers.MergeLayer",
• "fastcore.dispatch._TypeDict",
• "__builtin__.object",
• "numpy.ndarray",
• "fastai.data.transforms.ToTensor",
• "__builtin__.print",
• "fastai.layers.ConvLayer",
• "torch.nn.modules.loss.MSELoss",
• "torch.nn.modules.container.Sequential",
• "fastai.torch_core.trainable_params",
• "fastai.learner.Learner",
• "torch.utils.hooks.RemovableHandle",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage"

How to fix it?

• "torchvision.models.resnet.resnet34",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "inspect._ParameterKind",
• "__builtin__.getattr",
• "fastai.layers.PixelShuffle_ICNR",
• "fastai.vision.core.PILMask",
• "fastai.optimizer.Adam",
• "fastai.data.transforms.Normalize",
• "torch._utils._rebuild_tensor_v2",
• "fastai.vision.models.unet.DynamicUnet",
• "fastai.layers.ToTensorBase",
• "random.Random",
• "fastai.learner.AvgLoss",
• "numpy.dtype",
• "__main__.open_xarray",
• "fastai.data.load._wif",
• "fastai.callback.hook.Hook",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.vision.learner._resnet_split",
• "fastai.vision.augment.flip_mat",
• "fastai.callback.progress.ProgressCallback",
• "fastai.torch_core.TensorMask",
• "fastai.data.core.TfmdLists",
• "pathlib.Path",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "__builtin__.bytes",
• "torch.FloatStorage",
• "torch.device",
• "fastai.vision.augment.Zoom",
• "__builtin__.unicode",
• "torch.Tensor",
• "fastai.vision.augment.rotate_mat",
• "fastai.vision.models.unet.UnetBlock",
• "functools.partial",
• "__main__.label_func",
• "fastcore.dispatch._TypeDict",
• "__builtin__.object",
• "numpy.ndarray",
• "fastai.data.transforms.ToTensor",
• "fastai.learner.Learner",
• "fastai.metrics.DiceMulti",
• "torch.LongStorage",
• "fastai.data.core.DataLoaders",
• "fastai.callback.hook._hook_inner",
• "fastcore.foundation.L",
• "fastai.learner.Recorder",
• "numpy.core.multiarray.scalar",
• "_codecs.encode",
• "__builtin__.tuple",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_parameter",
• "__builtin__.long",
• "fastai.vision.models.unet.ResizeToOrig",
• "fastcore.transform.Transform",
• "torch.nn.modules.conv.Conv2d",
• "torch._tensor._rebuild_from_type_v2",
• "inspect.Signature",
• "inspect._empty",
• "fastai.vision.core.PILImage",
• "fastcore.transform.Pipeline",
• "PIL.Image.Image",
• "fastai.callback.hook.Hooks",
• "fastai.torch_core.TensorImage",
• "fastai.layers.ResBlock",
• "fastai.vision.augment.Rotate",
• "fastai.vision.augment.zoom_mat",
• "fastai.layers.MergeLayer",
• "fastai.layers.ConvLayer",
• "torch.utils.hooks.RemovableHandle",
• "torch.nn.modules.container.ModuleList",
• "fastai.losses.CrossEntropyLossFlat",
• "torchvision.models.resnet.BasicBlock",
• "fastai.data.core.TfmdDL",
• "torch.nn.modules.activation.ReLU",
• "fastai.learner.CastToTensor",
• "fastai.vision.augment.Flip",
• "fastai.data.load._FakeLoader",
• "fastai.data.core.Datasets",
• "fastai.learner.AvgSmoothLoss",
• "fastai.torch_core.TensorBase",
• "__builtin__.set",
• "fastai.data.transforms.IntToFloatTensor",
• "collections.OrderedDict",
• "fastai.vision.core.AddMaskCodes",
• "fastcore.dispatch.TypeDispatch",
• "pathlib.PosixPath",
• "__builtin__.float",
• "inspect.Parameter",
• "__builtin__.print",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pixelshuffle.PixelShuffle"

How to fix it?

• "fastai.data.core.DataLoaders",
• "torchvision.models.resnet.BasicBlock",
• "fastai.data.core.TfmdLists",
• "__main__.label_func_wl",
• "fastai.callback.hook._hook_inner",
• "inspect._ParameterKind",
• "__builtin__.getattr",
• "fastcore.foundation.L",
• "fastai.losses.BaseLoss",
• "fastai.data.core.TfmdDL",
• "fastai.layers.PixelShuffle_ICNR",
• "fastai.optimizer.Adam",
• "fastai.learner.Recorder",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.activation.ReLU",
• "numpy.core.multiarray.scalar",
• "fastai.data.transforms.Normalize",
• "_codecs.encode",
• "fastai.learner.CastToTensor",
• "__builtin__.tuple",
• "fastai.data.load._FakeLoader",
• "fastai.data.core.Datasets",
• "fastai.learner.AvgSmoothLoss",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "fastai.vision.models.unet.DynamicUnet",
• "fastai.vision.models.unet.ResizeToOrig",
• "fastcore.transform.Transform",
• "torch.nn.modules.conv.Conv2d",
• "torch._tensor._rebuild_from_type_v2",
• "torch.device",
• "inspect.Signature",
• "fastai.layers.ToTensorBase",
• "random.Random",
• "fastai.learner.AvgLoss",
• "fastai.torch_core.TensorBase",
• "torch.Tensor",
• "__builtin__.unicode",
• "inspect._empty",
• "__builtin__.set",
• "numpy.dtype",
• "fastcore.transform.Pipeline",
• "collections.OrderedDict",
• "fastai.data.load._wif",
• "fastai.callback.hook.Hook",
• "fastai.callback.hook.Hooks",
• "__main__.open_np",
• "fastai.layers.ResBlock",
• "fastai.callback.core.TrainEvalCallback",
• "fastcore.dispatch.TypeDispatch",
• "fastai.vision.models.unet.UnetBlock",
• "pathlib.PosixPath",
• "inspect.Parameter",
• "fastai.callback.progress.ProgressCallback",
• "fastai.layers.MergeLayer",
• "fastcore.dispatch._TypeDict",
• "__builtin__.object",
• "numpy.ndarray",
• "fastai.data.transforms.ToTensor",
• "__builtin__.print",
• "fastai.layers.ConvLayer",
• "torch.nn.modules.loss.MSELoss",
• "torch.nn.modules.container.Sequential",
• "fastai.torch_core.trainable_params",
• "fastai.learner.Learner",
• "torch.utils.hooks.RemovableHandle",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage"

How to fix it?