AttributeError: 'ConfigDict' object has no attribute 'optimizer'

[raviS123-dot]

Traceback (most recent call last): File "/usr/lib/python3.10/idlelib/run.py", line 578, in runcode exec(code, self.locals) File "/home/v3/Desktop/kitti/train1.py", line 12, in pipeline.run_train() File "/home/v3/.local/lib/python3.10/site-packages/open3d/_ml3d/torch/pipelines/semantic_segmentation.py", line 376, in run_train self.optimizer, self.scheduler = model.get_optimizer(cfg) File "/home/v3/.local/lib/python3.10/site-packages/open3d/_ml3d/torch/models/randlanet.py", line 354, in get_optimizer **cfg_pipeline.optimizer) File "/home/v3/.local/lib/python3.10/site-packages/open3d/_ml3d/utils/config.py", line 244, in getattr return getattr(self._cfg_dict, name) File "/home/v3/.local/lib/python3.10/site-packages/open3d/_ml3d/utils/config.py", line 27, in getattr raise ex AttributeError: 'ConfigDict' object has no attribute 'optimizer'

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My code is;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

Import torch and the model to use for training

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

Read a dataset by specifying the path. We are also providing the cache directory and training split.

dataset = ml3d.datasets.SemanticKITTI(dataset_path='/home/v3/Desktop/kitti/dataset', cache_dir='./logs/cache',training_split=['00', '01', '02', '03', '04', '05', '06', '07', '09', '10'])

Initialize the RandLANet model with three layers.

model = RandLANet(dim_input=3) pipeline = SemanticSegmentation(model=model, dataset=dataset, max_epoch=100)

Run the training

pipeline.run_train()

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[RauchLukas]

Hey, I have the same problem.

Did you find any solution? Form my understanding, the SemanticSegmentation pipeline should be equipped with Adam optimizer by default...

[njakuschona]

Hey, I also have this problem. Can anyone help?

[QasimMuhammad]

Hey, i get the same error when i use custom dataset using CUSTOM3D. @raviS123-dot you found the solution to your problem. Will you please share

[rammalali]

hey @raviS123-dot @RauchLukas @njakuschona @QasimMuhammad

The problem is in this line: pipeline = SemanticSegmentation(model=model, dataset=dataset, max_epoch=100) where the input is only dataset, model and max number of epochs, you need to add the pipeline configuration (cfg.pipeline)

use this: pipeline = SemanticSegmentation(model=model, dataset=dataset, **cfg.pipeline)

this will call all the attributes in cfg_file instead of inserting them manually one by one

you can find the config file here: _"Open3D-ML/ml3d/configs/randlanet_semantickitti.yml"_