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Luma AI 89

• "typing.Any",
• "torch._utils._rebuild_parameter",
• "omegaconf.nodes.AnyNode",
• "collections.defaultdict",
• "torch._utils._rebuild_tensor_v2",
• "builtins.list",
• "omegaconf.listconfig.ListConfig",
• "omegaconf.dictconfig.DictConfig",
• "numpy.dtype",
• "omegaconf.base.ContainerMetadata",
• "torch.nn.modules.container.ModuleDict",
• "torch.storage._load_from_bytes",
• "numpy._core.multiarray.scalar",
• "builtins.dict",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "omegaconf.base.Metadata",
• "builtins.int",
• "collections.OrderedDict",
• "torch.float32"

How to fix it?

• "timm.layers.format.Format",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Identity",
• "timm.layers.mlp.Mlp",
• "torch.nn.modules.conv.Conv2d",
• "omegaconf.dictconfig.DictConfig",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.SiLU",
• "torch.float32",
• "torch.nn.modules.container.ModuleList",
• "collections.defaultdict",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "builtins.int",
• "torch.nn.modules.activation.GELU",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "torch.nn.modules.sparse.Embedding",
• "typing.Any",
• "timm.layers.patch_embed.PatchEmbed",
• "timm.models.vision_transformer.Attention",
• "torch.nn.modules.normalization.LayerNorm",
• "omegaconf.base.ContainerMetadata",
• "omegaconf.listconfig.ListConfig",
• "omegaconf.base.Metadata",
• "torch.nn.modules.container.Sequential",
• "omegaconf.nodes.AnyNode",
• "collections.OrderedDict",
• "builtins.dict",
• "torch.storage._load_from_bytes",
• "builtins.list"

How to fix it?

• "timm.layers.patch_embed.PatchEmbed",
• "typing.Any",
• "torch._utils._rebuild_parameter",
• "timm.layers.mlp.Mlp",
• "omegaconf.nodes.AnyNode",
• "collections.defaultdict",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.LayerNorm",
• "builtins.list",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.dropout.Dropout",
• "omegaconf.listconfig.ListConfig",
• "torch.nn.modules.sparse.Embedding",
• "timm.layers.format.Format",
• "omegaconf.dictconfig.DictConfig",
• "torch.nn.modules.linear.Linear",
• "omegaconf.base.ContainerMetadata",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.activation.SiLU",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.container.ModuleList",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "builtins.dict",
• "omegaconf.base.Metadata",
• "builtins.int",
• "timm.models.vision_transformer.Attention",
• "collections.OrderedDict",
• "torch.float32",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.conv.Conv2d"

How to fix it?