Point Transformer training for SemanticKitti dataset

[junegoo94]

Checklist

• I have searched for similar issues.
• I have tested with the latest development wheel.
• I have checked the release documentation and the latest documentation (for main branch).

My Question

import open3d.ml as ml3d
from open3d.ml.torch.models import RandLANet, PointTransformer
from open3d.ml.torch.pipelines import SemanticSegmentation

dataset = ml3d.datasets.SemanticKITTI(dataset_path='/home/jmgoo/projects/DATA/SemanticKitti', use_cache=True)
model = PointTransformer()

pipeline = SemanticSegmentation(model=model, dataset=dataset, **cfg.pipeline)
t0 = time.time()
pipeline.run_train()
print("Training time: ", time.time()-t0)

I run the above code, but I faced "AttributeError: 'ConfigDict' object has no attribute 'optimizer'". I believe there is no yaml file yet.

How do I solve this problem?

[bestmyselfllll]

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