asenella

/

project_mmnist_resnet_JNFGMC_seed_0

like 0

• "builtins.type",
• "_operator.getitem",
• "typing.Dict",
• "typing.Union",
• "cloudpickle.cloudpickle._make_typevar",
• "typing.ForwardRef",
• "typing.Iterable",
• "torch.nn.modules.conv.Conv2d",
• "typing.Mapping",
• "cloudpickle.cloudpickle._make_cell",
• "cloudpickle.cloudpickle.subimport",
• "builtins.int",
• "architectures.ResnetBlock",
• "cloudpickle.cloudpickle._make_empty_cell",
• "typing.Tuple",
• "torch._utils._rebuild_tensor_v2",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "torch.nn.modules.module.Module",
• "typing.Iterator",
• "cloudpickle.cloudpickle_fast._class_setstate",
• "torch.storage._load_from_bytes",
• "itertools.islice",
• "builtins.slice",
• "cloudpickle.cloudpickle._make_function",
• "torch.nn.modules.linear.Linear",
• "builtins.str",
• "cloudpickle.cloudpickle._make_skeleton_class",
• "architectures.Dec",
• "cloudpickle.cloudpickle._builtin_type",
• "cloudpickle.cloudpickle_fast._function_setstate",
• "builtins.bool",
• "torch.nn.modules.upsampling.Upsample",
• "typing_extensions.Self"

How to fix it?

• "builtins.type",
• "_operator.getitem",
• "typing.Dict",
• "multivae.models.gmc.gmc_config.GMCConfig",
• "typing.Union",
• "multivae.models.nn.mmnist.EncoderConvMMNIST_adapted",
• "cloudpickle.cloudpickle._make_typevar",
• "typing.ForwardRef",
• "pythae.models.nn.base_architectures.BaseEncoder",
• "typing.Iterable",
• "torch.nn.modules.conv.Conv2d",
• "typing.Mapping",
• "cloudpickle.cloudpickle._make_cell",
• "cloudpickle.cloudpickle.subimport",
• "builtins.int",
• "multivae.models.base.base_model.BaseModel",
• "cloudpickle.cloudpickle._make_empty_cell",
• "torch.nn.modules.activation.ReLU",
• "multivae.models.base.base_config.BaseAEConfig",
• "multivae.data.datasets.base.MultimodalBaseDataset",
• "typing.Tuple",
• "torch._utils._rebuild_tensor_v2",
• "torch._utils._rebuild_parameter",
• "builtins.dict",
• "multivae.models.base.base_architectures.BaseJointEncoder",
• "collections.OrderedDict",
• "torch.nn.modules.module.Module",
• "typing.Iterator",
• "pythae.models.base.base_utils.ModelOutput",
• "cloudpickle.cloudpickle_fast._class_setstate",
• "torch.storage._load_from_bytes",
• "itertools.islice",
• "builtins.slice",
• "cloudpickle.cloudpickle._make_function",
• "copy.deepcopy",
• "torch.nn.modules.linear.Linear",
• "builtins.str",
• "cloudpickle.cloudpickle._make_skeleton_class",
• "cloudpickle.cloudpickle._builtin_type",
• "cloudpickle.cloudpickle_fast._function_setstate",
• "builtins.bool",
• "typing_extensions.Self"

How to fix it?

• "builtins.type",
• "_operator.getitem",
• "typing.Dict",
• "typing.Union",
• "cloudpickle.cloudpickle._make_typevar",
• "typing.ForwardRef",
• "typing.Iterable",
• "torch.nn.modules.conv.Conv2d",
• "typing.Mapping",
• "cloudpickle.cloudpickle._make_cell",
• "cloudpickle.cloudpickle.subimport",
• "builtins.int",
• "architectures.ResnetBlock",
• "cloudpickle.cloudpickle._make_empty_cell",
• "torch.nn.modules.activation.ReLU",
• "multivae.models.base.base_config.BaseAEConfig",
• "typing.Tuple",
• "torch._utils._rebuild_tensor_v2",
• "torch._utils._rebuild_parameter",
• "builtins.dict",
• "multivae.models.base.base_architectures.BaseJointEncoder",
• "collections.OrderedDict",
• "torch.nn.modules.module.Module",
• "pythae.models.base.base_utils.ModelOutput",
• "typing.Iterator",
• "cloudpickle.cloudpickle_fast._class_setstate",
• "torch.storage._load_from_bytes",
• "itertools.islice",
• "builtins.slice",
• "cloudpickle.cloudpickle._make_function",
• "copy.deepcopy",
• "torch.nn.modules.linear.Linear",
• "builtins.str",
• "cloudpickle.cloudpickle._make_skeleton_class",
• "cloudpickle.cloudpickle._builtin_type",
• "cloudpickle.cloudpickle_fast._function_setstate",
• "torch.nn.modules.pooling.AvgPool2d",
• "builtins.bool",
• "architectures.Enc",
• "typing_extensions.Self"

How to fix it?