Update training stuff

1 files changed, 10 insertions, 13 deletions

diff --git a/training/callbacks/wandb_callbacks.py b/training/callbacks/wandb_callbacks.py
index 7d4f48e..1c7955c 100644
--- a/training/callbacks/wandb_callbacks.py
+++ b/training/callbacks/wandb_callbacks.py
@@ -3,23 +3,17 @@ from pathlib import Path
 
 import wandb
 from pytorch_lightning import Callback, LightningModule, Trainer
-from pytorch_lightning.loggers import LoggerCollection, WandbLogger
+from pytorch_lightning.loggers import Logger, WandbLogger
 from pytorch_lightning.utilities import rank_zero_only
-from torch import nn
 from torch.utils.data import DataLoader
-from torchvision.utils import make_grid
 
 
 def get_wandb_logger(trainer: Trainer) -> WandbLogger:
     """Safely get W&B logger from Trainer."""
 
-    if isinstance(trainer.logger, WandbLogger):
-        return trainer.logger
-
-    if isinstance(trainer.logger, LoggerCollection):
-        for logger in trainer.logger:
-            if isinstance(logger, WandbLogger):
-                return logger
+    for logger in trainer.loggers:
+        if isinstance(logger, WandbLogger):
+            return logger
 
     raise Exception("Weight and Biases logger not found for some reason...")
 
@@ -28,9 +22,12 @@ class WatchModel(Callback):
     """Make W&B watch the model at the beginning of the run."""
 
     def __init__(
-        self, log: str = "gradients", log_freq: int = 100, log_graph: bool = False
+        self,
+        log_params: str = "gradients",
+        log_freq: int = 100,
+        log_graph: bool = False,
     ) -> None:
-        self.log = log
+        self.log_params = log_params
         self.log_freq = log_freq
         self.log_graph = log_graph
 
@@ -40,7 +37,7 @@ class WatchModel(Callback):
         logger = get_wandb_logger(trainer)
         logger.watch(
             model=trainer.model,
-            log=self.log,
+            log=self.log_params,
             log_freq=self.log_freq,
             log_graph=self.log_graph,
         )