fix the padding for rectangular inference

train.py

@@ -319,7 +319,7 @@ def lf(x):
             rect=True,
             rank=-1,
             workers=workers * 2,
-            pad=0.5,
+            pad=0.0,
             prefix=colorstr("val: "),
         )[0]
 

val.py

@@ -299,15 +299,14 @@ def run(
                 f"classes). Pass correct combination of --weights and --data that are trained together."
             )
         model.warmup(imgsz=(1 if pt else batch_size, 3, imgsz, imgsz))  # warmup
-        pad, rect = (0.0, False) if task == "speed" else (0.5, pt)  # square inference for benchmarks
+        rect = False if task == "speed" else pt  # square inference for benchmarks
         task = task if task in ("train", "val", "test") else "val"  # path to train/val/test images
         dataloader = create_dataloader(
             data[task],
             imgsz,
             batch_size,
             stride,
             single_cls,
-            pad=pad,
             rect=rect,
             workers=workers,
             prefix=colorstr(f"{task}: "),