1. When I successfully installed WandB, I could not use it. The erroe is: ``` Failed to detect the name of this notebook, you can set it manually with the WANDB_NOTEBOOK_NAME environment variable to enable code saving. wandb: Currently logged in as: jiajingnan (lkeb). Use wandb login --relogin to force relogin Thread HandlerThread: Traceback (most recent call last): File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/internal/internal_util.py”, line 49, in run self._run() File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/internal/internal_util.py”, line 100, in _run self._process(record) File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/internal/internal.py”, line 280, in _process self._hm.handle(record) File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/internal/handler.py”, line 136, in handle handler(record) File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/internal/handler.py”, line 146, in handle_request handler(record) File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/internal/handler.py”, line 697, in handle_request_run_start self._tb_watcher = tb_watcher.TBWatcher( File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/internal/tb_watcher.py”, line 120, in init wandb.tensorboard.reset_state() File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/lib/lazyloader.py”, line 60, in getattr module = self._load() File “/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/sdk/lib/lazyloader.py”, line 35, in _load module = importlib.import_module(self.name) File “/home/jjia/.conda/envs/py38/lib/python3.8/importlib/init.py”, line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File “", line 1014, in _gcd_import File "", line 991, in _find_and_load File "", line 975, in _find_and_load_unlocked File "", line 671, in _load_unlocked File "", line 843, in exec_module File "", line 219, in _call_with_frames_removed File "/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/integration/tensorboard/__init__.py", line 5, in from .log import _log, log, reset_state, tf_summary_to_dict # noqa: F401 File "/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/wandb/integration/tensorboard/log.py", line 35, in Summary = pb.Summary if pb else None File "/home/jjia/.conda/envs/py38/lib/python3.8/importlib/util.py", line 245, in __getattribute__ self.__spec__.loader.exec_module(self) File "/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/tensorboard/compat/proto/summary_pb2.py", line 17, in from tensorboard.compat.proto import histogram_pb2 as tensorboard_dot_compat_dot_proto_dot_histogram__pb2 File "/home/jjia/.conda/envs/py38/lib/python3.8/site-packages/tensorboard/compat/proto/histogram_pb2.py", line 36, in _descriptor.FieldDescriptor( File "/home/jjia/.local/lib/python3.8/site-packages/google/protobuf/descriptor.py", line 561, in __new__ _message.Message._CheckCalledFromGeneratedFile() TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are:
2. Downgrade the protobuf package to 3.20.x or lower.
3. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates wandb: ERROR Internal wandb error: file data was not synced

```

I havenot found the reason.