Hello, I am trying to user tensorboard to visualize my model logs trained and saved by Python. Once I run "%tensorboard --logdir logs_1602_epoch2_batch8_for_tens1" on Jupyter notebook, I get the error: " ERROR: Failed to launch TensorBoard (exited with 1). Contents of stderr: Traceback (most recent call last): File "c:\users\ozen002\anaconda3\lib\runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "c:\users\ozen002\anaconda3\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\Users\ozen002\Anaconda3\Scripts\tensorboard.exe\__main__.py", line 4, in <module> File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\main.py", line 43, in <module> from tensorboard import default File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\default.py", line 38, in <module> from tensorboard.plugins.audio import audio_plugin File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\plugins\audio\audio_plugin.py", line 29, in <module> from tensorboard.plugins.audio import metadata File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\plugins\audio\metadata.py", line 21, in <module> from tensorboard.compat.proto import summary_pb2 File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\compat\proto\summary_pb2.py", line 17, in <module> from tensorboard.compat.proto import tensor_pb2 as tensorboard_dot_compat_dot_proto_dot_tensor__pb2 File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\compat\proto\tensor_pb2.py", line 16, in <module> from tensorboard.compat.proto import resource_handle_pb2 as tensorboard_dot_compat_dot_proto_dot_resource__handle__pb2 File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\compat\proto\resource_handle_pb2.py", line 16, in <module> from tensorboard.compat.proto import tensor_shape_pb2 as tensorboard_dot_compat_dot_proto_dot_tensor__shape__pb2 File "c:\users\ozen002\anaconda3\lib\site-packages\tensorboard\compat\proto\tensor_shape_pb2.py", line 36, in <module> _descriptor.FieldDescriptor( File "c:\users\ozen002\anaconda3\lib\site-packages\google\protobuf\descriptor.py", line 560, 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 If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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: 1. Downgrade the protobuf package to 3.20.x or lower. 2. 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 " I had installed tensorboard with command "pip install tensorboard". Its version is 2.12.0.
I already downgraded protobuf to 3.20.1 and set the aforementioned environment variable to python. But the error persists. I would appreciate any help or suggestion. Thanks, Neris -- You received this message because you are subscribed to the Google Groups "Protocol Buffers" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/protobuf/f0afa8cc-e994-4e55-bd05-f97b8caf20a4n%40googlegroups.com.
