I have an error that I cant solve

[MohamedAboushnief]

I have an error that I cant solve

[muzi2045]

using spconv 1.0 not spconv 1.1

[MohamedAboushnief]

Every time I try to install the spconv 1.0 library , the 1.1 version gets installed. I do what the documentation says and then I find in the ./dist this file (spconv-1.1-cp36-cp36m-linux_x86_64.whl) which is for installing the 1.1 version. I don't know why this happens for me. I need the spconv 1.0 version but I can't get it.

[Nuri-benbarka]

In the spcnv git repo you cloned, use this command which will let the git repo go to version 1:

git checkout 8da6f96

Then continue with the same installation instructions you did.

[tyjiang1997]

new version has this question using spconv1.1.
2020-06-25 09:14:28,205 INFO **********************Start training cfgs/kitti_models/pv_rcnn(ttt)********************** epochs: 0%| | 0/16 [00:00<?, ?it/s] train: 0%| | 0/3712 [00:00<?, ?it/s] epochs: 0%| | 0/16 [00:00<?, ?it/s] Traceback (most recent call last): File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train.py", line 166, in <module> main() File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train.py", line 158, in main merge_all_iters_to_one_epoch=args.merge_all_iters_to_one_epoch File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train_utils/train_utils.py", line 92, in train_model dataloader_iter=dataloader_iter File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train_utils/train_utils.py", line 18, in train_one_epoch batch = next(dataloader_iter) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 819, in __next__ return self._process_data(data) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 846, in _process_data data.reraise() File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/_utils.py", line 369, in reraise raise self.exc_type(msg) AssertionError: Caught AssertionError in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop data = fetcher.fetch(index) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/kitti/kitti_dataset.py", line 388, in __getitem__ data_dict = self.prepare_data(data_dict=input_dict) File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/dataset.py", line 94, in prepare_data data_dict=data_dict File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/processor/data_processor.py", line 87, in forward data_dict = cur_processor(data_dict=data_dict) File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/processor/data_processor.py", line 65, in transform_points_to_voxels voxels, coordinates, num_points = voxel_generator.generate(points) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/spconv/utils/__init__.py", line 164, in generate or self._max_voxels, self._full_mean) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/spconv/utils/__init__.py", line 65, in points_to_voxel assert block_filtering is False

[tyjiang1997]

new version has this question using spconv1.1.
2020-06-25 09:14:28,205 INFO **********************Start training cfgs/kitti_models/pv_rcnn(ttt)********************** epochs: 0%| | 0/16 [00:00<?, ?it/s] train: 0%| | 0/3712 [00:00<?, ?it/s] epochs: 0%| | 0/16 [00:00<?, ?it/s] Traceback (most recent call last): File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train.py", line 166, in <module> main() File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train.py", line 158, in main merge_all_iters_to_one_epoch=args.merge_all_iters_to_one_epoch File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train_utils/train_utils.py", line 92, in train_model dataloader_iter=dataloader_iter File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/tools/train_utils/train_utils.py", line 18, in train_one_epoch batch = next(dataloader_iter) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 819, in __next__ return self._process_data(data) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 846, in _process_data data.reraise() File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/_utils.py", line 369, in reraise raise self.exc_type(msg) AssertionError: Caught AssertionError in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop data = fetcher.fetch(index) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/kitti/kitti_dataset.py", line 388, in __getitem__ data_dict = self.prepare_data(data_dict=input_dict) File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/dataset.py", line 94, in prepare_data data_dict=data_dict File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/processor/data_processor.py", line 87, in forward data_dict = cur_processor(data_dict=data_dict) File "/home/jty/pcdet/pvrcnn/OpenLidarPerceptron/pcdet/datasets/processor/data_processor.py", line 65, in transform_points_to_voxels voxels, coordinates, num_points = voxel_generator.generate(points) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/spconv/utils/__init__.py", line 164, in generate or self._max_voxels, self._full_mean) File "/home/jty/anaconda3/envs/pointpillars/lib/python3.7/site-packages/spconv/utils/__init__.py", line 65, in points_to_voxel assert block_filtering is False

while spconv1.0 is ok