Trying to run GitHub codes of nonlocal recurrent networks.
I am ending up getting this error. How to debug this error?
Traceback (most recent call last):
File "trainer.py", line 97, in
tf.logging.dict[hparams.verbosity] / 10)
KeyError: 'INFO'
tried editing codes. but not working.
On tensorflow version 1.14, below code will cause the error.
tf.logging.dict[hparams.verbosity]
So you can fix the code like below. It will be ok on tf 1.14.
getattr(tf.logging, hparams.verbosity)
Related
I run the following line at my terminal and I got an error, but it works fine in jupyter notebook.
df._repr_html_()
Traceback (most recent call last):
File "", line 1, in
File "/usr/lib/spark/python/pyspark/sql/dataframe.py", line 1020, in getattr
"'%s' object has no attribute '%s'" % (self.class.name, name))
AttributeError: 'DataFrame' object has no attribute '_repr_html_'
It doesn't work on my terminal because it's not a visual interpreter, so I had to go through the data frame collecting the values I needed and creating a string like html. Then, I could attached to an email I send from python at the terminal and works fine.
I want to convert trained python model (.pb) to tensorflowjs model. To accomplish this, first I saved the model with estimator.export_savedmodel function, then I run the tensorflowjs_converter command on Google Colab. However, no file is created for tensorflowjs. The conversion also gives a lot of warning and ends with an error.
Here is the full code, and please run to see the full output:
https://colab.research.google.com/drive/19k2s8eHpQY9Trps9dyaxPp0HqHWp5qpb
What is the reason of the problem and how can I fix it?
Part of the output:
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
Traceback (most recent call last):
File "/usr/local/bin/tensorflowjs_converter", line 8, in <module>
sys.exit(pip_main())
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/converter.py", line 638, in pip_main
main([' '.join(sys.argv[1:])])
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/converter.py", line 642, in main
convert(argv[0].split(' '))
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/converter.py", line 591, in convert
strip_debug_ops=args.strip_debug_ops)
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py", line 435, in convert_tf_saved_model
strip_debug_ops=strip_debug_ops)
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py", line 141, in optimize_graph
', '.join(unsupported))
ValueError: Unsupported Ops in the model before optimization
ParallelDynamicStitch, StringSplit, Unique, RegexReplace, DynamicPartition, StringToHashBucketFast, ParseExample, LookupTableFindV2, LookupTableSizeV2, SparseFillEmptyRows, StringJoin, AsString, SparseSegmentSqrtN, HashTableV2
Edit:
Seems like it isn't supported:
https://github.com/tensorflow/tfjs/issues/2322
This is because your model has ops that are not supported by tensorflow.js yet. And seems like you missed the missing op name in the output you pasted. Please feel free to update the output with missing op name or file a feature request in the tensorflow.js repo with more details.
When I run the example/image-classification/train_mnist.py, I was told that TypeError: fit() got an unexpected keyword argument 'monitor'. I have change nothing in this file. And I have just download the latest version from the github.
example\image-classification>python train_mnist.py
INFO:root:start with arguments Namespace(batch_size=64, disp_batches=100, gpus=N
one, kv_store='device', load_epoch=None, lr=0.05, lr_factor=0.1, lr_step_epochs=
'10', model_prefix=None, mom=0.9, monitor=0, network='mlp', num_classes=10, num_
epochs=20, num_examples=60000, num_layers=None, optimizer='sgd', test_io=0, top_
k=0, wd=0.0001)
Traceback (most recent call last):
File "train_mnist.py", line 76, in <module>
fit.fit(args, sym, get_mnist_iter)
File "D:\Zhenxingjian\MxNet\mxnet-0.9.3\mxnet-0.9.3\example\image-classificati
on\common\fit.py", line 183, in fit
monitor = monitor)
TypeError: fit() got an unexpected keyword argument 'monitor'
I was able to successfully run train_mnist.py example on v09.3, v0.9.5 and v0.10.0. If the problem still persists for you, maybe checkout the latest version and try again.
Had a quick question regarding a pandas DataFrame and the pd.read_pickle() function. Basically, I have a large but simple Dataframe (333 mb). When I run pd.read_pickle on the dataframe, I am getting and EOFError.
Is there any way around this issue? What might be causing this?
I saw the same EOFError when I created a pickle using:
pandas.DataFrame.to_pickle('path.pkl', compression='bz2')
and then tried to read with:
pandas.read_pickle('path.pkl')
I fixed the issue by supplying the compression on read:
pandas.read_pickle('path.pkl', compression='bz2')
According to the Pandas docs:
compression : {‘infer’, ‘gzip’, ‘bz2’, ‘zip’, ‘xz’, None}, default ‘infer’
string representing the compression to use in the output file. By default,
infers from the file extension in specified path.
Thus, simply changing the path from 'path.pkl' to 'path.bz2' also fixed the problem.
I can confirm the valuable comment of greg_data:
When I encountered this error I worked out that it was due to the
initial pickling not having completed correctly. The pickle file was
created, but not finished correctly. Seems to me this is the only
possible source of the EOFError in pickle, that the pickle is
malformed, i.e. not finished.
My error during pickling was:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-40-263240bbee7e> in <module>()
----> 1 main()
<ipython-input-38-9b3c6d782a2a> in main()
43 with open("/content/drive/MyDrive/{}.file".format(tm.id), "wb") as f:
---> 44 pickle.dump(tm, f, pickle.HIGHEST_PROTOCOL)
45
46 print('Coherence:', get_coherence(tm, token_lists, 'c_v'))
TypeError: can't pickle weakref objects
And when reading that pickle file that was obviously not finished during pickling, the reported error occured:
pd.read_pickle(r'/content/drive/MyDrive/TEST_2021_06_01_10_23_02.file')
Error:
---------------------------------------------------------------------------
EOFError Traceback (most recent call last)
<ipython-input-41-460bdd0a2779> in <module>()
----> 1 object = pd.read_pickle(r'/content/drive/MyDrive/TEST_2021_06_01_10_23_02.file')
/usr/local/lib/python3.7/dist-packages/pandas/io/pickle.py in read_pickle(filepath_or_buffer, compression)
180 # We want to silence any warnings about, e.g. moved modules.
181 warnings.simplefilter("ignore", Warning)
--> 182 return pickle.load(f)
183 except excs_to_catch:
184 # e.g.
EOFError: Ran out of input
Firstly, I know very very little about Python, Xwindows, Matplotlib or GTK. I am trying to run a tool called SpliceGrapher which uses the above. I get an (ugly, sorry) error:
/usr/lib64/python2.6/site-packages/gtk-2.0/gtk/__init__.py:57: GtkWarning: could not open display
warnings.warn(str(e), _gtk.Warning)
/home/my/bin/lib64/python2.6/site-packages/matplotlib/backends/backend_gtk.py:52: GtkWarning: gdk_cursor_new_for_display: assertion `GDK_IS_DISPLAY (display)' failed
cursors.MOVE : gdk.Cursor(gdk.FLEUR),
Traceback (most recent call last):
File "/home/my/bin/SpliceGrapher-0.2.0/scripts/view_splicegraphs.py", line 28, in <module>
from pylab import *
File "/home/my/bin/lib64/python2.6/site-packages/pylab.py", line 1, in <module>
from matplotlib.pylab import *
File "/home/my/bin/lib64/python2.6/site-packages/matplotlib/pylab.py", line 264, in <module>
from matplotlib.pyplot import *
File "/home/my/bin/lib64/python2.6/site-packages/matplotlib/pyplot.py", line 95, in <module>
new_figure_manager, draw_if_interactive, _show = pylab_setup()
File "/home/my/bin/lib64/python2.6/site-packages/matplotlib/backends/__init__.py", line 25, in pylab_setup
globals(),locals(),[backend_name])
File "/home/my/bin/lib64/python2.6/site-packages/matplotlib/backends/backend_gtkagg.py", line 10, in <module>
from matplotlib.backends.backend_gtk import gtk, FigureManagerGTK, FigureCanvasGTK,\
File "/home/my/bin/lib64/python2.6/site-packages/matplotlib/backends/backend_gtk.py", line 52, in <module>
cursors.MOVE : gdk.Cursor(gdk.FLEUR),
RuntimeError: could not create GdkCursor object
If anyone has any idea what I can do, that would be great.
I am on a Linux (RedHat) system, through puTTy using Xming. I have X11 configured and xeyes shows the little eyes that follow my mouse so I know thats working.
New error:
16:00:46 view_splicegraphs.py Started
Traceback (most recent call last):
File "/home/bmoran/bin/SpliceGrapher-0.2.0/scripts/view_splicegraphs.py", line 164, in <module>
g = getFirstGraph(f)
File "/home/bmoran/bin/lib64/python2.6/site-packages/SpliceGrapher/SpliceGraph.py", line 371, in getFirstGraph
result = SpliceGraphParser(f, **args).next()
File "/home/bmoran/bin/lib64/python2.6/site-packages/SpliceGrapher/SpliceGraph.py", line 1351, in __init__
self.loadFromFile()
File "/home/bmoran/bin/lib64/python2.6/site-packages/SpliceGrapher/SpliceGraph.py", line 1424, in loadFromFile
raise ValueError("Graph feature found before graph header at line %d" % lineNo)
ValueError: Graph feature found before graph header at line 1
/usr/lib64/python2.6/site-packages/gtk-2.0/gtk/__init__.py:57: GtkWarning: could not open display
Tells you your script does not have an access to your X session.
Can you post here your script?
Did you access the machine with ssh -XC ... ?
on the shell when you issue echo $DISPLAY what do you see?
When you add in your script print os.getenv("DISPLAY") do you see the same result?
one more note ... I don't know Xming but I can recommend you to try MobaXterm, it has a builtin ssh and X11 server compiled for Windows, and my guess is that it will solve your X problem.