yuancarrieyjy

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QualityOnly-thinking

like 0

• "numpy.ndarray",
• "torch.ByteStorage",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "_codecs.encode"

How to fix it?

• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "collections.OrderedDict",
• "_codecs.encode",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "numpy.dtype"

How to fix it?

• "_codecs.encode",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "numpy.dtype",
• "torch.ByteStorage",
• "numpy._core.multiarray._reconstruct"

How to fix it?

• "torch.distributed.tensor.DTensor",
• "torch.distributed.tensor._dtensor_spec.DTensorSpec",
• "torch.distributed.tensor._dtensor_spec.TensorMeta",
• "torch.Size",
• "torch.device",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch.float32",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.IntStorage",
• "torch.distributed.tensor.placement_types.Shard",
• "torch._tensor._rebuild_from_type_v2",
• "torch.serialization._get_layout"

How to fix it?

• "torch.distributed.tensor.DTensor",
• "torch.distributed.tensor._dtensor_spec.DTensorSpec",
• "torch.distributed.tensor._dtensor_spec.TensorMeta",
• "torch.Size",
• "torch.device",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch.float32",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.IntStorage",
• "torch.distributed.tensor.placement_types.Shard",
• "torch._tensor._rebuild_from_type_v2",
• "torch.serialization._get_layout"

How to fix it?

• "torch.distributed.tensor.DTensor",
• "torch.distributed.tensor._dtensor_spec.DTensorSpec",
• "torch.distributed.tensor._dtensor_spec.TensorMeta",
• "torch.Size",
• "torch.device",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch.float32",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.IntStorage",
• "torch.distributed.tensor.placement_types.Shard",
• "torch._tensor._rebuild_from_type_v2",
• "torch.serialization._get_layout"

How to fix it?

• "typing.Any",
• "collections.defaultdict",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "__builtin__.dict",
• "omegaconf.listconfig.ListConfig",
• "__builtin__.long",
• "omegaconf.base.Metadata",
• "collections.OrderedDict",
• "omegaconf.dictconfig.DictConfig",
• "omegaconf.nodes.AnyNode",
• "omegaconf.base.ContainerMetadata",
• "__builtin__.list"

How to fix it?

• "typing.Any",
• "omegaconf.base.ContainerMetadata",
• "omegaconf.listconfig.ListConfig",
• "torch.FloatStorage",
• "__builtin__.long",
• "__builtin__.list",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "__builtin__.dict",
• "omegaconf.base.Metadata",
• "omegaconf.dictconfig.DictConfig",
• "collections.defaultdict",
• "omegaconf.nodes.AnyNode"

How to fix it?

• "typing.Any",
• "omegaconf.base.ContainerMetadata",
• "omegaconf.listconfig.ListConfig",
• "torch.FloatStorage",
• "__builtin__.long",
• "__builtin__.list",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "__builtin__.dict",
• "omegaconf.base.Metadata",
• "omegaconf.dictconfig.DictConfig",
• "collections.defaultdict",
• "omegaconf.nodes.AnyNode"

How to fix it?