I am toying around with flags at the moment and came across some weird behavior when using tf.app.run()
. The following code snippet should simply print the string given via the command line.
import tensorflow as tf
# command line flags
tf.app.flags.DEFINE_string('mystring', 'Hello World!',
'''String to print to console.''')
FLAGS = tf.app.flags.FLAGS
def main():
print(FLAGS.mystring)
if __name__ == '__main__':
tf.app.run()
During execution, this error is thrown:
Traceback (most recent call last):
File "", line 1, in runfile('/path/flags.py', wdir='/path')
File "/home/abc/anaconda3/envs/tensorflow/lib/python3.5/site-packages/spyder/utils/site/sitecustomize.py", line 710, in runfile execfile(filename, namespace)
File "/home/abc/anaconda3/envs/tensorflow/lib/python3.5/site-packages/spyder/utils/site/sitecustomize.py", line 101, in execfile exec(compile(f.read(), filename, 'exec'), namespace)
File "/path/flags.py", line 19, in tf.app.run()
File "/home/abc/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv))
TypeError: main() takes 0 positional arguments but 1 was given
...which is strange because I do not give a single argument to main(). However, if I add an underscore def main(_):
, it works without any errors.
I couldn't find a doc where this is use of the underscore is described. Does anybody know what happens here? Thank you!
The error message I see in Pycharm IDE when I execute your code is clearer.
Traceback (most recent call last):
File "D:/PycharmProjects/TensorFlow/self.py", line 30, in <module>
tf.app.run()
File "D:\\Anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\platform\app.py",
line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
TypeError: main() takes 0 positional arguments but 1 was given
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
is trying to call our main method with one argument.
This is the run method in app.py
A stripped down version of the run method can be used to test.
import tensorflow as tf
import sys as _sys
from tensorflow.python.platform import flags
# command line flags
tf.app.flags.DEFINE_string('mystring', 'Hello World!',
'''String to print to console.''')
FLAGS = tf.app.flags.FLAGS
def run(main=None, argv=None):
"""Runs the program with an optional 'main' function and 'argv' list."""
f = flags.FLAGS
# Extract the args from the optional `argv` list.
args = argv[1:] if argv else None
# Parse the known flags from that list, or from the command
# line otherwise.
# pylint: disable=protected-access
flags_passthrough = f._parse_flags(args=args)
# pylint: enable=protected-access
main = main or _sys.modules['__main__'].main
print (_sys.argv[:1])
# Call the main function, passing through any arguments
# to the final program.
#_sys.exit(main(_sys.argv[:1] + flags_passthrough))
# Call the main function with no arguments
#_sys.exit(main())
def main():
print(FLAGS.mystring)
if __name__ == '__main__':
#tf.app.run()
run()
print(_sys.argv[1:])
prints ['D:/PycharmProjects/TensorFlow/self.py']
since
argv[0] is the script name passed to the interpreter.
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