tf defines tf.app.flags to support accepting command line parameters, which is equivalent to accepting argv.
#The first is the parameter name, the second is the default value, and the third is the parameter description
import tensorflow as tf
tf.app.flags.DEFINE_string('str_name', 'def_v_1',"descrip1")
tf.app.flags.DEFINE_integer('int_name', 10,"descript2")
tf.app.flags.DEFINE_boolean('bool_name', False, "descript3")
FLAGS = tf.app.flags.FLAGS
#Must have parameters, otherwise: 'TypeError: main() takes no arguments (1 given)'; the parameter names of main are freely defined, no requirements
def main(_):
print(FLAGS.str_name)
print(FLAGS.int_name)
print(FLAGS.bool_name)
if __name__ == '__main__':
tf.app.run() #Execute the main function
implement:
python tt.py
def_v_1 10 False
python tt.py --str_name test_str --int_name 99 --bool_name True
test_str 99True