问题
I am following this tutorial: https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/?utm_campaign=chrome_series_machinelearning_063016&utm_source=gdev&utm_medium=yt-desc#4
I am running this part of the code:
python retrain.py \
--bottleneck_dir=bottlenecks \
--how_many_training_steps=500 \
--model_dir=inception \
--summaries_dir=training_summaries/basic \
--output_graph=retrained_graph.pb \
--output_labels=retrained_labels.txt \
--image_dir=flower_photos
Here is the error that I get after it finds the images, makes a bunch of bottlenecks and also does steps training.
Traceback (most recent call last):
File "retrain.py", line 1062, in <module>
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
File "C:\Anaconda3\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "retrain.py", line 905, in main
f.write('\n'.join(image_lists.keys()) + '\n')
File "C:\Anaconda3\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 101, in write
self._prewrite_check()
File "C:\Anaconda3\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 87, in _prewrite_check
compat.as_bytes(self.__name), compat.as_bytes(self.__mode), status)
File "C:\Anaconda3\lib\contextlib.py", line 66, in __exit__
next(self.gen)
File "C:\Anaconda3\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.NotFoundError: Failed to create a NewWriteableFile: /tmp/output_labels.txt : The system cannot find the path specified.
You can find all my code here: https://github.com/officialgupta/MachineLearningRecipes
Thanks
回答1:
I have also found some similar errors. And if I understood, that you need to set an absolute paths for --output_graph and --output_labels.
For example:
--output_graph=/home/%your_homhttps://stackoverflow.com/review/late-answers/17020426#e_user_name_folder%/Inception_retrained_graph.pb
--output_labels=/home/%your_home_user_name_folder%/Inception_retrained_labels.txt
回答2:
In a similar case,I have met errors, when I tried to execute this command:
writer = tf.python_io.TFRecordWriter(FLAGS.output_path)
then I found that, the output_path is empty. So you need to make sure an absolute paths is available.
回答3:
I might be late for giving an answer but putting up an answer and hoping that it will be useful for anyone facing similar issue.
Today I came across similar issue while retraining the Inception model on Tensorflow and followed some steps to correct it.
There are two things we need to take care of.
Activate tensorflow before using Tensorflow commands.
source ~/tensorflow/bin/activate
Use full path of the files mentioned in your terminal commands as answered by @Nikita Verbitskiy in the answer below.
回答4:
try below command in win10 to solve the problem
python -m retrain
--bottleneck_dir=bottlenecks
--how_many_training_steps=500
--model_dir=models
--summaries_dir=tf_files
--output_graph=retrained.pb
--output_labels=retrained_labels.txt
--architecture="mobilenet_0.50_224"
--image_dir=flower_photos
回答5:
I faced the same problem, and could fix it.
Just to clear some things up, my code is running without ..
- setting an absolute path
- activating tensorflow
On the first run everything was saved as expected, on the second run I had the same issue as described.
For me it was enough to not set
--save_model_dir
but only setting
--output_labels
--output_graph
回答6:
I had the same issue. The only thing I had to do is to reduce the length of path.
For example:
C:\Users\test\lib\Workspace\DataScience\Bachelorarbeit\ba_test\src\saved_models\neural20201029-235456-a0.8775
instead of
C:\Users\test\lib\Workspace\DataScience\Bachelorarbeit\ba_test\src\saved_models\neural20201029-234822Arg-e1-b512-l1-n256-oadam-z0.005-r0-d0-a0.8803.
来源：https://stackoverflow.com/questions/45076911/tensorflow-failed-to-create-a-newwriteablefile-when-retraining-inception