openformer-py3.11vscode ➜ /workspaces/pj_marubeni $ /home/vscode/.cache/pypoetry/virtualenvs/openformer-sbepKnhc-py3.11/bin/python /workspaces/pj_marubeni/inference_onnx.py
/home/vscode/.cache/pypoetry/virtualenvs/openformer-sbepKnhc-py3.11/lib/python3.11/site-packages/transformers/utils/deprecation.py:165: UserWarning: The following named arguments are not valid for `OneFormerImageProcessor.__init__` and were ignored: '_max_size'
  return func(*args, **kwargs)
/home/vscode/.cache/pypoetry/virtualenvs/openformer-sbepKnhc-py3.11/lib/python3.11/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
  warnings.warn(
2024-09-16 12:09:17.726867659 [W:onnxruntime:, transformer_memcpy.cc:74 ApplyImpl] 9 Memcpy nodes are added to the graph main_graph for CUDAExecutionProvider. It might have negative impact on performance (including unable to run CUDA graph). Set session_options.log_severity_level=1 to see the detail logs before this message.
2024-09-16 12:09:17.761429300 [W:onnxruntime:, session_state.cc:1166 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2024-09-16 12:09:17.761457843 [W:onnxruntime:, session_state.cc:1168 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
2024-09-16 12:09:18.410945113 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411081851 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411195345 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411307206 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411417770 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411527096 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411634718 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411742327 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.
2024-09-16 12:09:18.411852490 [W:onnxruntime:Default, scatter_nd.h:51 ScatterNDWithAtomicReduction] ScatterND with reduction=='none' only guarantees to be correct if indices are not duplicated.

この警告の意味を日本語で教えて。