Fubei

/

cgs_gan_checkpoints

like 0

• "torch.nn.modules.linear.Linear",
• "training.gaussian3d_splatting.renderer.build_covariance_from_scaling_rotation",
• "training.gaussian3d_splatting.renderer.Renderer",
• "numpy.dtype",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "training.gaussian3d_splatting.renderer.inverse_sigmoid",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.container.ModuleList",
• "dnnlib.util.EasyDict",
• "torch._C._VariableFunctionsClass",
• "torch._utils._rebuild_parameter",
• "numpy.core.multiarray.scalar",
• "builtins.getattr",
• "torch.nn.functional.normalize",
• "collections.OrderedDict",
• "torch.nn.modules.container.ModuleDict",
• "torch.storage._load_from_bytes"

How to fix it?

• "torch._utils._rebuild_parameter",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.activation.GELU",
• "dnnlib.util.EasyDict",
• "torch.nn.modules.container.ModuleDict",
• "torch._utils._rebuild_tensor_v2",
• "builtins.getattr",
• "training.gaussian3d_splatting.renderer.build_covariance_from_scaling_rotation",
• "torch.nn.functional.normalize",
• "torch.nn.modules.linear.Linear",
• "training.gaussian3d_splatting.renderer.Renderer",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "numpy.dtype",
• "torch.storage._load_from_bytes",
• "training.gaussian3d_splatting.renderer.inverse_sigmoid",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "torch._C._VariableFunctionsClass"

How to fix it?

• "builtins.getattr",
• "training.gaussian3d_splatting.renderer.Renderer",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.activation.GELU",
• "torch._C._VariableFunctionsClass",
• "training.gaussian3d_splatting.renderer.build_covariance_from_scaling_rotation",
• "training.gaussian3d_splatting.renderer.inverse_sigmoid",
• "collections.OrderedDict",
• "torch.nn.modules.container.ModuleDict",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "torch._utils._rebuild_parameter",
• "dnnlib.util.EasyDict",
• "numpy.core.multiarray.scalar",
• "numpy.dtype",
• "torch.nn.functional.normalize"

How to fix it?

• "numpy.dtype",
• "torch.nn.modules.linear.Linear",
• "builtins.getattr",
• "training.gaussian3d_splatting.renderer.build_covariance_from_scaling_rotation",
• "torch._C._VariableFunctionsClass",
• "torch.nn.modules.activation.GELU",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "dnnlib.util.EasyDict",
• "training.gaussian3d_splatting.renderer.Renderer",
• "torch.nn.functional.normalize",
• "training.gaussian3d_splatting.renderer.inverse_sigmoid",
• "numpy.core.multiarray.scalar",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "torch._utils._rebuild_tensor_v2",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.container.ModuleDict"

How to fix it?