RuntimeError When Enabling Accuracy Checks in yolov3 Training on GPU.

[scshtyk]

Issue Description
I encounter a RuntimeError related to gradient computation when enabling accuracy checks during the training of yolov3 in a GPU docker environment. The training runs without issues when the --accuracy flag is not used.

Steps to Reproduce
python install.py yolov3
python run.py yolov3 -d cuda -t train --accuracy

Expected Behavior
The training process should run without errors and perform accuracy checks without causing runtime errors.

Actual Behavior
The script executes successfully without the --accuracy flag.
However, when the accuracy check is enabled, it fails with the following error message:

TypeError: Darknet.forward() takes from 2 to 4 positional arguments but 6 were given
Running train method from yolov3 on cuda in eager mode with input batch size 4 and precision fp32.

env：pytorch-cuda=12.1 python=3.11

[xuzhao9]

The following command will pass the test:

$ python run_benchmark.py dynamo --only yolov3 --accuracy --training --amp --backend=inductor
loading model: 0it [00:02, ?it/s]
cuda train yolov3
W0619 23:26:48.274000 139707225552704 torch/_inductor/utils.py:1219] [9/0] DeviceCopy in input program
W0619 23:26:48.275000 139707225552704 torch/_inductor/utils.py:1219] [9/0] DeviceCopy in input program
skipping cudagraphs due to skipping cudagraphs due to cpu device (primals_2). Found from :
   File "/home/xz/git/benchmark/torchbenchmark/models/yolov3/yolo_models.py", line 188, in forward
    self.create_grids((nx, ny), p.device)
  File "/home/xz/git/benchmark/torchbenchmark/models/yolov3/yolo_models.py", line 159, in create_grids
    self.anchor_vec = self.anchor_vec.to(device)

W0619 23:26:52.032000 139707225552704 torch/_inductor/utils.py:1219] [9/1] DeviceCopy in input program
W0619 23:26:52.032000 139707225552704 torch/_inductor/utils.py:1219] [9/1] DeviceCopy in input program
skipping cudagraphs due to skipping cudagraphs due to cpu device (primals_4). Found from :
   File "/home/xz/git/benchmark/torchbenchmark/models/yolov3/yolo_models.py", line 188, in forward
    self.create_grids((nx, ny), p.device)
  File "/home/xz/git/benchmark/torchbenchmark/models/yolov3/yolo_models.py", line 159, in create_grids
    self.anchor_vec = self.anchor_vec.to(device)

W0619 23:26:54.131000 139707225552704 torch/_logging/_internal.py:1034] [13/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
pass

Looking into why the result is different in run.py runner.

[xuzhao9]

Fix: #2321
Can you help verify it fixes the issue?

[scshtyk]

Fix: #2321 Can you help verify it fixes the issue?

Thank you. I tested with your fix commit, and the accuracy test is passing.