Traceback (most recent call last):


 "/home/software/pycharm/helpers/pydev/pydevd.py", line 1580, in <module>

globals = debugger.run(setup['file'], None, None, is_module)


 "/home/software/pycharm/helpers/pydev/pydevd.py", line 964, in run

pydev_imports.execfile(file, globals, locals)
# execute the script


 "/home/RNN/crnn.pytorch-master_demo/demo_caffe.py", line 50, in <module>

plot_graph(output_var, os.path.join(caffemodel_dir, 'pytorch_graph.dot'))


 "/home/RNN/crnn.pytorch-master_demo/pytorch2caffe.py", line 380, in plot_graph

(graph,) = pydot.graph_from_dot_file(fname)
TypeError: 'Dot' object is not iterable
Traceback (most recent call last):


 "D:/stanford_tensorflow_tutorials/tf_oreilly/01_linear_regression_sol.py", line 19, in <module>

book = xlrd.open_workbook(DATA_FILE, encoding_override="utf-8")


 "C:\Anaconda3\lib\site-packages\xlrd\__init__.py", line 441, in open_workbook

ragged_rows=ragged_rows,


 "C:\Anaconda3\lib\site-packages\xlrd\book.py", line 107, in open_workbook_xls

bk.fake_globals_get_sheet()


 "C:\Anaconda3\lib\site-packages\xlrd\book.py", line 687, in fake_globals_get_sheet

self.get_sheets()


 "C:\Anaconda3\lib\site-packages\xlrd\book.py", line 678, in get_sheets

self.get_sheet(sheetno)


 "C:\Anaconda3\lib\site-packages\xlrd\book.py", line 669, in get_sheet

sh.read(self)


 "C:\Anaconda3\lib\site-packages\xlrd\sheet.py", line 1475, in read

self.update_cooked_mag_factors()


 "C:\Anaconda3\lib\site-packages\xlrd\sheet.py", line 1543, in update_cooked_mag_factors

elif not (10 <= zoom <= 400):
TypeError: unorderable types: int() <= NoneType()