Error running sampling code

[ZhaoyangZh]

Hi there,

Thanks for the open source code. When I run the sampling code using the following command (which is slightly modified to what you provide in README),

python main.py run.job=sample dataloader.batch_size=16 dataloader.num_workers=6 dataset.category=teddybear checkpoint.resume="./example-logs-and-checkpoints/train__teddybear__ebs_48/2022-09-19--16-11-43/checkpoint-latest.pth" run.name=sample__teddybear__ebs_24

I got this error:

ValidationError: Incompatible value 'None' for field of type 'str'
    full_key: root
    object_type=CO3DConfig

It originates from ./experiments/config/structured.py:282:

cs.store(group='dataset', name='co3d', node=CO3DConfig)

Do you have any idea on this issue? Thanks in advance.

[ZhaoyangZh]

It's due to not exporting environment variable CO3DV2_DATASET_ROOT.

[ZhaoyangZh]

Also one more note here, the checkpoint.resume path should be set as absolute path, since the working directory seems to be changed during runtime.

[psen2022]

run.job=sample dataloader.batch_size=16 dataloader.num_workers=6 dataset.category=hydrant checkpoint.resume="/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-conditioned-point-cloud-diffusion-main/experiments/exp/logs/example-logs-and-checkpoints/trainhydrantebs_16/2022-09-12--09-16-11/checkpoint-latest.pth" run.name=samplehydrantebs_24
After I configured this, why do I get the following error? Error executing job with overrides: ['run.job=sample', 'dataloader.batch_size=16', 'dataloader.num_workers=6', 'dataset.category=hydrant', 'checkpoint.resume=/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-conditioned-point-cloud-diffusion-main/experiments/exp/logs/example-logs-and-checkpoints/trainhydrantebs_16/2022-09-12--09-16-11/checkpoint-latest.pth', 'run.name=samplehydrantebs_24'] Traceback (most recent call last): File "/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-co nditioned-point-cloud-diffusion-main/experiments/main.py", line 450, in main() File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/main.py", line 94, in decorated_main _run_hydra( File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/_internal/util s.py", line 394, in _run_hydra _run_app( File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/_internal/util s.py", line 457, in _run_app run_and_report( File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/_internal/util s.py", line 223, in run_and_report raise ex File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/_internal/util s.py", line 220, in run_and_report return func() File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/_internal/util s.py", line 458, in lambda: hydra.run( File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/internal/hydr a.py", line 132, in run = ret.return_value File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/core/utils.py" , line 260, in return_value raise self._return_value File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/hydra/core/utils.py" , line 186, in run_job ret.return_value = task_function(task_cfg) File "/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-co nditioned-point-cloud-diffusion-main/experiments/main.py", line 58, in main model = get_model(cfg) File "/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-co nditioned-point-cloud-diffusion-main/experiments/model/init.py", line 8, in get_model model = ConditionalPointCloudDiffusionModel(cfg.model) File "/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-co nditioned-point-cloud-diffusion-main/experiments/model/model.py", line 31, in init super().init(kwargs) File "/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-co nditioned-point-cloud-diffusion-main/experiments/model/projection_model.py", line 64, in init self.feature_model = FeatureModel(image_size, image_feature_model) File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/diffusers/configurat ion_utils.py", line 636, in inner_init init(self, *args, **init_kwargs) File "/workspace/psen/projection-conditioned-point-cloud-diffusion-main/projection-co nditioned-point-cloud-diffusion-main/experiments/model/feature_model.py", line 99, in init state_dict['pos_embed'] = resize_pos_embed(state_dict['pos_embed'], self.model.pos_embed) File "/usr/local/anaconda3/envs/psen/lib/python3.8/site-packages/timm/models/vision_t ransformer.py", line 769, in resize_pos_embed posemb_grid = F.interpolate(posemb_grid, size=gs_new, mode=interpolation, antialias=antialias, align_corners=False) TypeError: interpolate() got an unexpected keyword argument 'antialias'

[psen2022]

Do you have any good solutions? Thanks