Fixing minor multi-streaming issues with TensoRT engine (#6504)

* Update batch-size in model.warmup() + indentation for logging inference results

* These changes are in response to PR comments

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

val.py

@@ -162,7 +162,7 @@ def run(data,
 
     # Dataloader
     if not training:
-        model.warmup(imgsz=(1, 3, imgsz, imgsz), half=half)  # warmup
+        model.warmup(imgsz=(1 if pt else batch_size, 3, imgsz, imgsz), half=half)  # warmup
         pad = 0.0 if task == 'speed' else 0.5
         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=pt,