I have been trying to convert a tensorflow code to pytorch. The code uses tf.flags.DEFINE_integer  etc to initialize different parameters of the model.
import tensorflow as tf
flags = tf.flags
flags.DEFINE_integer("batchSize", 20, "batch size.")
flags.DEFINE_integer("nEpochs", 1, "number of epochs to train.")
flags.DEFINE_float("adamLr", 1e-4, "AdaM learning rate.")
flags.DEFINE_integer("hidden_size", 200, "number of hidden units in en/decoder.")
flags.DEFINE_integer("latent_size", 50, "dimensionality of latent variables.")
flags.DEFINE_integer("K", 5, "number of components in mixture model.")
flags.DEFINE_string("experimentDir", "MNIST/", "directory to save training artifacts.")
inArgs = flags.FLAGS

What is the similar command-line as tf.flags in pytorch?