time-series-transformers

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7_560Mp_40Bt

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Time series 1

• "numpy.dtype",
• "torch.FloatStorage",
• "torch.ByteStorage",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.distributed._tensor.api.DTensor",
• "collections.OrderedDict",
• "numpy.ndarray",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch.LongStorage",
• "torch.distributed._tensor.placement_types.DTensorSpec",
• "torch.distributed._tensor.placement_types.Replicate",
• "torch._tensor._rebuild_from_type_v2",
• "numpy.core.multiarray._reconstruct",
• "torch._utils._rebuild_tensor_v2",
• "torch._utils._rebuild_wrapper_subclass",
• "_codecs.encode",
• "torch.device",
• "pathlib.PosixPath",
• "torch.float32",
• "torch.serialization._get_layout",
• "torch.Size"

How to fix it?

• "numpy.ndarray",
• "pathlib.PosixPath",
• "torch.distributed._tensor.api.DTensor",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.FloatStorage",
• "torch.device",
• "torch.serialization._get_layout",
• "numpy.core.multiarray._reconstruct",
• "torch.LongStorage",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed._tensor.placement_types.DTensorSpec",
• "numpy.dtype",
• "torch.float32",
• "torch.distributed._tensor.placement_types.Replicate",
• "_codecs.encode",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.distributed._tensor.placement_types.Shard",
• "collections.OrderedDict",
• "torch.ByteStorage",
• "torch._tensor._rebuild_from_type_v2",
• "torch.distributed.device_mesh.DeviceMesh"

How to fix it?

• "pathlib.PosixPath",
• "torch._tensor._rebuild_from_type_v2",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "torch.LongStorage",
• "numpy.dtype",
• "torch._utils._rebuild_tensor_v2",
• "_codecs.encode",
• "torch.distributed._tensor.api.DTensor",
• "torch.Size",
• "torch.serialization._get_layout",
• "torch.distributed._tensor.placement_types.Replicate",
• "torch.float32",
• "torch.device",
• "torch.ByteStorage",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.distributed._tensor.placement_types.DTensorSpec"

How to fix it?

• "torch.distributed._tensor.placement_types.Replicate",
• "torch._utils._rebuild_tensor_v2",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.FloatStorage",
• "numpy.ndarray",
• "pathlib.PosixPath",
• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch.serialization._get_layout",
• "torch.device",
• "torch.distributed._tensor.api.DTensor",
• "torch.distributed.device_mesh.DeviceMesh",
• "_codecs.encode",
• "torch._tensor._rebuild_from_type_v2",
• "torch.ByteStorage",
• "torch.Size",
• "torch.distributed._tensor.placement_types.DTensorSpec",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.LongStorage",
• "numpy.dtype",
• "torch.float32"

How to fix it?

• "numpy.ndarray",
• "pathlib.PosixPath",
• "torch.distributed._tensor.api.DTensor",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.FloatStorage",
• "torch.device",
• "torch.serialization._get_layout",
• "numpy.core.multiarray._reconstruct",
• "torch.LongStorage",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed._tensor.placement_types.DTensorSpec",
• "numpy.dtype",
• "torch.float32",
• "torch.distributed._tensor.placement_types.Replicate",
• "_codecs.encode",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.distributed._tensor.placement_types.Shard",
• "collections.OrderedDict",
• "torch.ByteStorage",
• "torch._tensor._rebuild_from_type_v2",
• "torch.distributed.device_mesh.DeviceMesh"

How to fix it?

• "torch.serialization._get_layout",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.distributed._tensor.api.DTensor",
• "torch._utils._rebuild_wrapper_subclass",
• "pathlib.PosixPath",
• "torch._utils._rebuild_tensor_v2",
• "numpy.core.multiarray._reconstruct",
• "torch.distributed._tensor.placement_types.DTensorSpec",
• "_codecs.encode",
• "numpy.ndarray",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "collections.OrderedDict",
• "torch.distributed._tensor.placement_types.Replicate",
• "torch.ByteStorage",
• "torch._tensor._rebuild_from_type_v2",
• "torch.FloatStorage",
• "torch.float32",
• "torch.device",
• "numpy.dtype",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch.LongStorage",
• "torch.Size"

How to fix it?

• "torch._tensor._rebuild_from_type_v2",
• "torch.ByteStorage",
• "torch.distributed._tensor.api.DTensor",
• "torch.Size",
• "torch.FloatStorage",
• "_codecs.encode",
• "torch.distributed._tensor.placement_types.Replicate",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "numpy.ndarray",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.serialization._get_layout",
• "torch.distributed.device_mesh.DeviceMesh",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "torch.float32",
• "torch.device",
• "torch.distributed._tensor.placement_types.Shard",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.LongStorage",
• "torch.distributed._tensor.placement_types.DTensorSpec",
• "pathlib.PosixPath"

How to fix it?