Querying ZeroCost predictor in Supported Optimizers

A problem occurs in the `Bananas` optimizer, when an architecture outside of the search space is sampled, and the `zero_cost_scores` must be calculated on-the-fly using the `ZeroCost`

```
Exception has occurred: StopIteration
exception: no description
File "/home/jhaa/NASLib/naslib/predictors/utils/pruners/measures/model_stats.py", line 7, in get_model_stats
model_stats = tw.ModelStats(model, input_tensor_shape,
File "/home/jhaa/NASLib/naslib/predictors/utils/pruners/predictive.py", line 141, in find_measures
model_stats = get_model_stats(
File "/home/jhaa/NASLib/naslib/predictors/zerocost.py", line 31, in query
score = predictive.find_measures(
File "/home/jhaa/NASLib/naslib/optimizers/discrete/bananas/optimizer.py", line 93, in query_zc_scores
score = zc_method.query(arch, dataloader=zc_method.train_loader)
File "/home/jhaa/NASLib/naslib/optimizers/discrete/bananas/optimizer.py", line 241, in _get_best_candidates
model.zc_scores = self.query_zc_scores(model.arch)
File "/home/jhaa/NASLib/naslib/optimizers/discrete/bananas/optimizer.py", line 232, in new_epoch
self.next_batch = self._get_best_candidates(candidates, acq_fn)
File "/home/jhaa/NASLib/naslib/defaults/trainer.py", line 112, in search
self.optimizer.new_epoch(e)
File "/home/jhaa/NASLib/naslib/runners/bbo/runner.py", line 75, in
trainer.search(resume_from="", summary_writer=writer, report_incumbent=False)
```

Currently, we are passing `model.arch` into the `zc_method.query()` function. This differs slightly from the Fall-School Tutorial, where a graph is being initialized, an architecture is being sampled, the graph is being parsed and then the `graph` object is being passed in.