tensorflow / tensorboard

TensorFlow's Visualization Toolkit
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gs not implemented issue #429

Open horizonfrost opened 7 years ago

horizonfrost commented 7 years ago

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10

TensorFlow installed from (source or binary): pip3 install tensorflow

TensorFlow version (use command below): 1.3.0

Tensorboard version: 0.1.4

Python version: 3.5.2

Exact command to reproduce: gcloud auth application-default login tensorboard --logdir=gs://mybucket_which_contains_train_and_eval_directories

Stacktrace: Exception in thread Reloader: Traceback (most recent call last): File "c:\python\python35\lib\threading.py", line 914, in _bootstrap_inner self.run() File "c:\python\python35\lib\threading.py", line 862, in run self._target(*self._args, **self._kwargs) File "c:\python\python35\lib\site-packages\tensorboard\backend\application.py", line 327, in _reload_forever reload_multiplexer(multiplexer, path_to_run) File "c:\python\python35\lib\site-packages\tensorboard\backend\application.py", line 299, in reload_multiplexer multiplexer.AddRunsFromDirectory(path, name) File "c:\python\python35\lib\site-packages\tensorboard\backend\event_processing\event_multiplexer.py", line 175, in AddRunsFromDirectory for subdir in GetLogdirSubdirectories(path): File "c:\python\python35\lib\site-packages\tensorboard\backend\event_processing\event_multiplexer.py", line 439, in GetLogdirSubdirectories if tf.gfile.Exists(path) and not tf.gfile.IsDirectory(path): File "c:\python\python35\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 252, in file_exists pywrap_tensorflow.FileExists(compat.as_bytes(filename), status) File "c:\python\python35\lib\contextlib.py", line 66, in __exit__ next(self.gen) File "c:\python\python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status pywrap_tensorflow.TF_GetCode(status)) tensorflow.python.framework.errors_impl.UnimplementedError: File system scheme gs not implemented

horizonfrost commented 7 years ago

I have followed this similar issue but still facing the same problem

xdhmoore commented 4 years ago

A someone on that other thread mentioned, it may make more sense to run tensorboard in the cloud close to the data for bandwidth reasons. I assume they are right.

However, I seem to be able to run tensorboard successfully in WSL on my Windows 10 machine.

a-maghan commented 2 years ago

If someone else is still facing the issue, I was able to resolve the issue by installing fsspec and gcsfs packages. pip install fsspec gcsfs

volodymyr-barannik commented 1 year ago

If someone else is still facing the issue, I was able to resolve the issue by installing fsspec and gcsfs packages. pip install fsspec gcsfs

It doesn't work for me, unfortunately :(