zhiyang1

/

SZ_multinode_vlm_dc-vae-f32c32-768_group-7_no-self-attn-lora_residual_attn

like 0

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

• "__main__.TrainingArguments",
• "transformers.trainer_utils.HubStrategy",
• "torch.device",
• "transformers.training_args.OptimizerNames",
• "accelerate.state.PartialState",
• "transformers.trainer_utils.SaveStrategy",
• "accelerate.utils.dataclasses.DistributedType",
• "transformers.trainer_pt_utils.AcceleratorConfig",
• "transformers.trainer_utils.IntervalStrategy",
• "transformers.trainer_utils.SchedulerType"

How to fix it?