Add argparse to mnist example script

examples/gmlvq_mnist.py

@@ -1,5 +1,7 @@
 """GMLVQ example using the MNIST dataset."""
 
+import argparse
+
 import prototorch as pt
 import pytorch_lightning as pl
 import torch
@@ -7,6 +9,11 @@ from torchvision import transforms
 from torchvision.datasets import MNIST
 
 if __name__ == "__main__":
+    # Command-line arguments
+    parser = argparse.ArgumentParser()
+    parser = pl.Trainer.add_argparse_args(parser)
+    args = parser.parse_args()
+
     # Dataset
     train_ds = MNIST(
         "~/datasets",
@@ -40,7 +47,8 @@ if __name__ == "__main__":
         input_dim=28 * 28,
         latent_dim=28 * 28,
         distribution=(nclasses, prototypes_per_class),
-        lr=0.01,
+        proto_lr=0.01,
+        bb_lr=0.01,
     )
 
     # Initialize the model
@@ -51,17 +59,19 @@ if __name__ == "__main__":
     )
 
     # Callbacks
-    vis = pt.models.VisImgComp(data=train_ds,
-                               nrow=5,
-                               show=True,
-                               tensorboard=True,
-                               pause_time=0.5)
+    vis = pt.models.VisImgComp(
+        data=train_ds,
+        nrow=5,
+        show=False,
+        tensorboard=True,
+    )
 
     # Setup trainer
-    trainer = pl.Trainer(
-        max_epochs=50,
+    trainer = pl.Trainer.from_argparse_args(
+        args,
         callbacks=[vis],
-        gpus=0,
+        # kwargs override the cli-arguments
+        # max_epochs=50,
         # overfit_batches=1,
         # fast_dev_run=3,
     )