Since upgrading to TF 1.4 I am getting this error when I try to run tensorboard:
Traceback (most recent call last):
File "/opt/python/3.6.3/bin/tensorboard", line 11, in <module>
sys.exit(main())
File "/opt/python/3.6.3/lib/python3.6/site-packages/tensorboard/main.py", line 39, in main
return program.main(default.get_plugins(),
File "/opt/python/3.6.3/lib/python3.6/site-packages/tensorboard/default.py", line 71, in get_plugins
debugger = debugger_plugin_loader.get_debugger_plugin()
File "/opt/python/3.6.3/lib/python3.6/site-packages/tensorboard/plugins/debugger/debugger_plugin_loader.py", line 46, in get_debugger_plugin
if FLAGS.debugger_data_server_grpc_port is None:
File "/opt/python/3.6.3/lib/python3.6/site-packages/absl/flags/_flagvalues.py", line 509, in __getattr__
raise _exceptions.UnparsedFlagAccessError(error_message)
absl.flags._exceptions.UnparsedFlagAccessError: Trying to access flag --debugger_data_server_grpc_port before flags were parsed.
I am getting this error even when just typing tensorboard with no --logdir specified but also when I do specify a log dir. I notice this has been reported in github as of 5 days ago (https://github.com/tensorflow/nmt/issues/176), but I am surprised not to see more folks reporting this.
I also noticed that I was not able to run a Tensorflow RNN tutorial for the same reason last week, with the error also indicating flags were accessed before being parsed. Has anyone run into this and can you tell me if there's a fix?
As instructed in this Github issue, the quick fix is to upgrade Tensorboard to the nightly build:
pip install --upgrade tb-nightly
As also explained this issue will be fixed as soon as soon as TensorFlow nightly 20171122 is released though.
Related
I am trying to create a custom TFrecords.
When I called a script that uses the tf.python_io.TFRecordWriter(..) as ...:
this error came up
log:
Traceback (most recent call last):
File "createtfrecordsbyother.py", line 105, in <module>
main(args)
File "createtfrecordsbyother.py", line 85, in main
num_shards=num_shards_train)
File "createtfrecordsbyother.py", line 45, in create_tfrecords
with tf.python_io.TFRecordWriter(output_filename) as tfrecord_writer:
AttributeError: module 'tensorflow' has no attribute 'python_io'
Switched to the tensorflow,ver1.15 .
After switching to that version that error is gone and replaced with a warning that states module is depreciated with a new name (io) instead of (python_io)
Note many modules also changed the name.
and downgrading tensorflow may require a updates of CUDA and Cudnn library.
It's not a complete solution to those who wanted to stay in Tensorflow2.0-gpu
But I will post this as a solution for those who are like me fine with downgrade to 1.15.
For uninstall tf,please refer to tf official documentation under install page.
I recently upgraded one of my small ubuntu (16.04) servers from tensorflow-gpu 1.4 to tensorflow-gpu 1.5 for working with the object detection API. I have git cloned the latest version API that is supposed to work with tensorflow 1.5.
CUDA/cudNN and other tensorflow programs are up and running after the upgrade, and all test-scripts in the object detection API are running fine.
Despite this, when I attempt to run train.py it fails immediately with the following error:
File "/home/arvid/ownCloud/tensorflow/models/research/object_detection/train.py", line 167, in <module> tf.app.run()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 124, in run _sys.exit(main(argv))
File "/home/arvid/ownCloud/tensorflow/models/research/object_detection/train.py", line 107, in main overwrite=True)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/lib/io/file_io.py", line 385, in copy compat.as_bytes(oldpath), compat.as_bytes(newpath), overwrite, status)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 473, in __exit__ c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory
This error arise when some input file is missing, but the problem here is that no file is specified in the error.
Usually the missing file is presented between the comma and the semicolon, but in this error it is just a blank space.
I can reproduce the same error on my working server running tensorflow 1.4 by inserting a space between --train_dir= and the path:
--train_dir= {some_path}
But that is not the case here!
Additional info: when I run train.py the 'train' directory is created at the location I specify, so tensorflow seems to be able to identify paths etc..
Any input on how to debug this would be greatly appreciated!!
(Ok, I'm feeling a bit stupid right now...)
The solution was simple - the name of the flags for train.py changed with the update...
It used to be:
--pipeline_config={some_path}
But now it's:
--pipeline_config_path={some_path}
Still, it would be useful with a more informative error message...
Romove some spaces between --train_dir= {some_path} and --pipeline_config_path= {some_path} .
It works for me.
I'm trying to follow along the Audio Recognition Network tutorial.
I've created an Anaconda environment with python 3.6 and followed the install instruction accordingly for installing the GPU whl.
I can run the 'hello world' TF example.
When I go to run 'train.py' in the Audio Recognition Network tutorial/example, I get:
Traceback (most recent call last):
File "train.py", line 79, in <module>
import input_data
File "/home/philglau/speech_commands/input_data.py", line 35, in <module>
from tensorflow.contrib.framework.python.ops import audio_ops as contrib_audio
ImportError: cannot import name 'audio_ops'
The code in the tutorial that fails is:
from tensorflow.contrib.framework.python.ops import audio_ops as contrib_audio
I then backed up that chain until I could import some part of it:
import tensorflow.contrib.framework as test ==> works
import tensorflow.contrib.framework.python as test --> fail:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow.contrib.framework' has no attribute 'python'
Not sure where I'm going wrong on my install.
Details:
Ubuntu 16.04
Anaconda env with python 3.6
Followed the 'anaconda' instruction on the TF install page. (GPU version)
I also tried using a python 2.7 env for anaconda but got the same results.
It looks like they're releasing the audio_ops modules in version 1.4 (https://github.com/tensorflow/tensorflow/issues/11339#issuecomment-327879009).
Until v1.4 is released, an easy way around this is to install the nightly tensorflow build
pip install tf-nightly
or with the docker image linked in the issue comment.
The short answer:
The framework is missing the "audio_ops.py" and the example wont work until the file is released. Or you code the wrappers.
More on this:
If you go to the: tensorflow.contrib.framework.python.ops local folder you can find other *_ops.py files but not the "audio_ops.py".
If you get it from the Master at: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/framework/python/ops
You will find the file is almost empty and with import labels wrong: "audio_ops" vs "gen_audio_ops".
With almost empty I mean that: decode_wav, encode_wav, audio_spectrogram , mfcc are not implemented/wrapped.
So, no working example and no fun.
We need to check again when "audio_ops.py" is released.
Here:
https://github.com/tensorflow/tensorflow/issues/11339
You can find a Developer saying: "we don't actually want to make them public / supported yet. I'm sorry this decision wasn't better documented"
I'm using PyQt 5.3.1 and I'm deploying with pyqtdeploy 0.4 and when i want to build a project i obtain this error message:
Generating code...
Cleaning E:\ProgramasPython3\PythonQT\QTCalculator\build.
Freezing C:\Users\Tobal\AppData\Local\Temp\bootstrap_py3.py
Freezing E:\ProgramasPython3\PythonQT\QTCalculator\qtcalculator.py
Freezing E:/ProgramasPython3/PythonQT\QTCalculator\__init__.py
Freezing E:/ProgramasPython3/PythonQT\QTCalculator\calculator_ui.py
Freezing E:/ProgramasPython3/PythonQT\QTCalculator\img_rc.py
Freezing E:/ProgramasPython3/PythonQT\QTCalculator\qtcalculator.py
Freezing C:\Python34\libs\site-packages\PyQt5\__init__.py
Unable to freeze C:\Python34\libs\site-packages\PyQt5\__init__.py.
Traceback (most recent call last):
File "C:\Users\Tobal\AppData\Local\Temp\freeze.py", line 103, in <module>
freeze_as_data(py_file, options.as_data)
File "C:\Users\Tobal\AppData\Local\Temp\freeze.py", line 36, in freeze_as_data
code = _get_marshalled_code(py_filename)
File "C:\Users\Tobal\AppData\Local\Temp\freeze.py", line 71, in _get_marshalled_code
source_file = open(py_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Python34\\libs\\site-packages\\PyQt5\\__init__.py'
I think this is a bug. someone does know how to fix it?
Thanks
Did you build PyQt5 statically? The host and target Python are two different things, and often in different directories. The target Python has PyQt module built statically, the host Python must also have PyQt5 installed (because pyqtdeploy uses Qt for its GUI) but its usually a dynamic library in the host Python.
In the pyqtdeploy GUI on "Locations" tab, make sure that "Standard library directory" is correct.
i tried to migrate plone 3.3.6 to a newer plone 4.0.7 version (and then to 4.3.x) but I ran in multiple errors:
Full traceback
2013-10-07 13:51:33 INFO ProgressHandler Process started (1842 objects to go)
2013-10-07 13:51:33 ERROR plone.app.upgrade Upgrade aborted. Error:
Traceback (most recent call last):
File "/Users/iie/Projects/plone4.0/rwa/eggs/Plone-4.0.7-py2.6.egg/Products/CMFPlone/MigrationTool.py", line 175, in upgrade
step['step'].doStep(setup)
File "/Users/iie/Projects/plone4.0/rwa/eggs/Products.GenericSetup-1.6.3-py2.6.egg/Products/GenericSetup/upgrade.py", line 142, in doStep
self.handler(tool)
File "/Users/iie/Projects/plone4.0/rwa/eggs/plone.app.upgrade-1.0.7-py2.6.egg/plone/app/upgrade/v40/betas.py", line 117, in updateIconMetadata
obj = brain.getObject()
File "/Users/iie/Projects/plone4.0/rwa/eggs/Zope2-2.12.18-py2.6-macosx-10.7-x86_64.egg/Products/ZCatalog/CatalogBrains.py", line 92, in getObject
target = parent.restrictedTraverse(path[-1])
File "/Users/iie/Projects/plone4.0/rwa/eggs/Zope2-2.12.18-py2.6-macosx-10.7-x86_64.egg/OFS/Traversable.py", line 310, in restrictedTraverse
return self.unrestrictedTraverse(path, default, restricted=True)
File "/Users/iie/Projects/plone4.0/rwa/eggs/Zope2-2.12.18-py2.6-macosx-10.7-x86_64.egg/OFS/Traversable.py", line 278, in unrestrictedTraverse
raise e
AttributeError: pa_20120810.pdf
If I delete "pa_20120810.pdf" another file throws an error, and so on ...
I hope you understand me and someone can help me
Thanks
Something to try: before migration use collective.catalogcleanup to remove broken references from your catalog. It's easy to use: add to your buildout, restart the site, go to /##collective-catalogcleanup?dry_run=false in your browser.
As collective.catalogcleanup's documentation states:
The goal is to get rid of outdated brains that could otherwise cause problems, for example during an upgrade to Plone 4.