Dataset specific args method to CIFAR10, ImageNet, MNIST, and STL10

pl_bolts/datamodules/cifar10_datamodule.py

@@ -1,3 +1,4 @@
+from argparse import ArgumentParser
 from typing import Any, Callable, Optional, Sequence, Union
 
 from pl_bolts.datamodules.vision_datamodule import VisionDataModule
@@ -122,6 +123,16 @@ def default_transforms(self) -> Callable:
 
         return cf10_transforms
 
+    @staticmethod
+    def add_dataset_specific_args(parent_parser: ArgumentParser) -> ArgumentParser:
+        parser = ArgumentParser(parents=[parent_parser], add_help=False)
+
+        parser.add_argument("--data_dir", type=str, default=".")
+        parser.add_argument("--num_workers", type=int, default=0)
+        parser.add_argument("--batch_size", type=int, default=32)
+
+        return parser
+
 
 @under_review()
 class TinyCIFAR10DataModule(CIFAR10DataModule):

pl_bolts/datamodules/imagenet_datamodule.py

@@ -1,4 +1,5 @@
 import os
+from argparse import ArgumentParser
 from typing import Any, Callable, Optional
 
 from pytorch_lightning import LightningDataModule
@@ -259,3 +260,13 @@ def val_transform(self) -> Callable:
             ]
         )
         return preprocessing
+
+    @staticmethod
+    def add_dataset_specific_args(parent_parser: ArgumentParser) -> ArgumentParser:
+        parser = ArgumentParser(parents=[parent_parser], add_help=False)
+
+        parser.add_argument("--data_dir", type=str, default=".")
+        parser.add_argument("--num_workers", type=int, default=0)
+        parser.add_argument("--batch_size", type=int, default=32)
+
+        return parser

pl_bolts/datamodules/mnist_datamodule.py

@@ -1,3 +1,4 @@
+from argparse import ArgumentParser
 from typing import Any, Callable, Optional, Union
 
 from pl_bolts.datamodules.vision_datamodule import VisionDataModule
@@ -106,3 +107,13 @@ def default_transforms(self) -> Callable:
             mnist_transforms = transform_lib.Compose([transform_lib.ToTensor()])
 
         return mnist_transforms
+
+    @staticmethod
+    def add_dataset_specific_args(parent_parser: ArgumentParser) -> ArgumentParser:
+        parser = ArgumentParser(parents=[parent_parser], add_help=False)
+
+        parser.add_argument("--data_dir", type=str, default=".")
+        parser.add_argument("--num_workers", type=int, default=0)
+        parser.add_argument("--batch_size", type=int, default=32)
+
+        return parser

pl_bolts/datamodules/stl10_datamodule.py

@@ -1,4 +1,5 @@
 import os
+from argparse import ArgumentParser
 from typing import Any, Callable, Optional
 
 import torch
@@ -304,3 +305,13 @@ def val_dataloader_labeled(self) -> DataLoader:
     def _default_transforms(self) -> Callable:
         data_transforms = transform_lib.Compose([transform_lib.ToTensor(), stl10_normalization()])
         return data_transforms
+
+    @staticmethod
+    def add_dataset_specific_args(parent_parser: ArgumentParser) -> ArgumentParser:
+        parser = ArgumentParser(parents=[parent_parser], add_help=False)
+
+        parser.add_argument("--data_dir", type=str, default=".")
+        parser.add_argument("--num_workers", type=int, default=0)
+        parser.add_argument("--batch_size", type=int, default=32)
+
+        return parser