Fix some cuda training issues of segmentation (#46)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
parent
db1031a1a9
commit
47f1cb3ef4
5 changed files with 38 additions and 21 deletions
|
|
@ -6,10 +6,11 @@ from ultralytics.yolo.engine.validator import BaseValidator
|
|||
class ClassificationValidator(BaseValidator):
|
||||
|
||||
def init_metrics(self, model):
|
||||
self.correct = torch.tensor([])
|
||||
self.correct = torch.tensor([], device=next(model.parameters()).device)
|
||||
|
||||
def preprocess(self, batch):
|
||||
batch["img"] = batch["img"].to(self.device)
|
||||
batch["img"] = batch["img"].to(self.device, non_blocking=True)
|
||||
batch["img"] = batch["img"].half() if self.args.half else batch["img"].float()
|
||||
batch["cls"] = batch["cls"].to(self.device)
|
||||
return batch
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue