Error with Pytorch metrics during PTQ Static

[DGP1607]

Encountering an issue while PTQ Static on Pytorch Model. The process involves utilizing pytorch metrics for benchmarking such as ['Accuracy','F1']. The workflow is executed within the VS code Jupyter extension.

The issue arises as follows :

• During the first execution of the entire notebook, everything runs smoothly without any issues.
• However, upon executing the notebook for a second time, I encounter an error.Upon restarting the kernel in VS code it is running fine. But this should not be the case everytime why a restart of kerenel is required for metric.
• The traceback for the error is as follows:
  AssertionError Traceback (most recent call last)
  Cell In[91], line 10
  7 metrics = METRICS('pytorch')
  8 top2 = metrics'Accuracy'
  ---> 10 q_model = quantization.fit(
  11 model=model,
  12 conf=conf,
  13 calib_dataloader=dataloader,
  14 eval_dataloader=dataloader,
  15 eval_metric=top2,
  16 )
  in fit(model, conf, calib_dataloader, calib_func, eval_func, eval_dataloader, eval_metric, **kwargs)
  151 wrapped_model = Model(model, conf=conf)
  153 if eval_metric is not None:
  --> 154 metric = register_customer_metric(eval_metric, conf.framework)
  155 else:
  156 metric = None
  in register_customer_metric(user_metric, framework)
  1681 metric_cfg = {name: id(user_metric)}
  1682 metrics = METRICS(framework)
  -> 1683 metrics.register(name, metric_cls)
  1684 return metric_cfg
  ...
  221 """
  --> 222 assert name not in self.metrics.keys(), "registered metric name already exists."
  223 self.metrics.update({name: metric_cls})

AssertionError: registered metric name already exists.