无法从Jupyter启动Tensorboard [英] Failing to launch tensorboard from jupyter

问题描述

当我尝试从我的jupyter notebook启动tensorboard时，出现以下错误.我正在使用conda environment并使用特定于env的内核，因为tensorflow仅安装在我的环境中.我在做什么错了?

I get the error below when I try launching tensorboard from my jupyter notebook. I am using a conda environment and using the env-specific kernel since tensorflow is only installed in my environment. What am I doing wrong?

错误:

%tensorboard --logdir logs

ERROR: Failed to launch TensorBoard (exited with -6).
Contents of stderr:
[libprotobuf ERROR external/com_google_protobuf/src/google/protobuf/descriptor_database.cc:393] Invalid file descriptor data passed to EncodedDescriptorDatabase::Add().
[libprotobuf FATAL external/com_google_protobuf/src/google/protobuf/descriptor.cc:1367] CHECK failed: GeneratedDatabase()->Add(encoded_file_descriptor, size): 
libc++abi.dylib: terminating with uncaught exception of type google::protobuf::FatalException: CHECK failed: GeneratedDatabase()->Add(encoded_file_descriptor, size):

编辑

即使我尝试从终端(在我的conda env内部)启动，我仍然遇到问题:

I have the problem even when I try launching from the terminal (inside my conda env):

tensorboard --logdir = 'logs/'

[libprotobuf ERROR external/com_google_protobuf/src/google/protobuf/descriptor_database.cc:393] Invalid file descriptor data passed to EncodedDescriptorDatabase::Add().
[libprotobuf FATAL external/com_google_protobuf/src/google/protobuf/descriptor.cc:1367] CHECK failed: GeneratedDatabase()->Add(encoded_file_descriptor, size): 
libc++abi.dylib: terminating with uncaught exception of type google::protobuf::FatalException: CHECK failed: GeneratedDatabase()->Add(encoded_file_descriptor, size): 
Abort trap: 6

推荐答案

我找到了以下解决方案.显然，这是运行macOS Catalina时发生的特定问题，可以通过切换到protobuf version 3.8.0来解决.因此，基本上卸载tensorflow和protobuf并用protobuf = 3.8.0重新安装.我在此处找到了答案，请查看该信息以获取更多信息.

I found the following solution. Apparently this is a specific issue that occurs when running macOS Catalina, and can be solved by switching to protobuf version 3.8.0. So basically uninstalling tensorflow and protobuf and re-installing with protobuf = 3.8.0. I found this answer here, check it out for further info.

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