(#4) Refactor: argparse

src/defense/train.py

@@ -1,7 +1,7 @@
 from utils.dataset import NoisyMnist, NoisyCifar10
 from models import Reformer
 
-import sys
+import argparse
 import tensorflow as tf
 
 keras = tf.keras
@@ -26,14 +26,31 @@ def train_cifar10_reformer(epochs: int = 100):
 
 
 if __name__ == "__main__":
-    if len(sys.argv) != 2:
-        exit("Error: select 'mnist' or 'cifar10'.")
+    parser = argparse.ArgumentParser(description="Training defensive reformer models.")
+    parser.add_argument(
+        "--dataset",
+        "-d",
+        metavar="DATASET",
+        type=str,
+        help="Dataset for training",
+        required=True,
+        choices=["mnist", "cifar10"],
+    )
+
+    parser.add_argument(
+        "--epochs",
+        "-e",
+        metavar="EPOCHS",
+        type=int,
+        help="Target epochs",
+        required=False,
+    )
+
+    args = parser.parse_args()
 
-    option = sys.argv[1]
+    epochs = args.epochs if args.epochs is not None else 500
 
-    if option == "mnist":
-        train_mnist_reformer()
-    elif option == "cifar10":
-        train_cifar10_reformer()
-    else:
-        exit("Error: select 'mnist' or 'cifar10'.")
+    if args.dataset == "mnist":
+        train_mnist_reformer(epochs)
+    elif args.dataset == "cifar10":
+        train_cifar10_reformer(epochs)