feat: bunch of new callbacks

Former-commit-id: 40fa0eaabd63cc00becb79164255289b18faf26f [formerly 2e813e0fbd9b7316d500b1d3f694b680d1e4e949]
Former-commit-id: 8b0372f2a4d3657e0728f52ae12c529df6985a07

src/train.py

@@ -1,13 +1,21 @@
 import logging
 
 import pytorch_lightning as pl
-import torch
 import wandb
-from pytorch_lightning.callbacks import ModelCheckpoint, RichProgressBar
+from pytorch_lightning.callbacks import (
+    EarlyStopping,
+    LearningRateMonitor,
+    ModelCheckpoint,
+    ModelPruning,
+    QuantizationAwareTraining,
+    RichModelSummary,
+    RichProgressBar,
+)
 from pytorch_lightning.loggers import WandbLogger
 
 from data import Spheres
 from mrcnn import MRCNNModule
+from utils.callback import TableLog
 
 if __name__ == "__main__":
     # setup logging
@@ -62,12 +70,17 @@ if __name__ == "__main__":
         log_every_n_steps=5,
         val_check_interval=50,
         callbacks=[
-            ModelCheckpoint(monitor="valid/loss", mode="min"),
+            EarlyStopping(monitor="valid/map", mode="max", patience=10, min_delta=0.01),
+            ModelCheckpoint(monitor="valid/map", mode="max"),
+            # ModelPruning("l1_unstructured", amount=0.5),
+            LearningRateMonitor(log_momentum=True),
+            RichModelSummary(max_depth=2),
             RichProgressBar(),
+            TableLog(),
         ],
         # profiler="advanced",
         num_sanity_val_steps=3,
-        devices=[1],
+        devices=[0],
     )
 
     # actually train the model