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Errors:
2022-08-12 11:21:31,523 - mmdet - INFO - Checkpoints will be saved to /0812/mmdetection3d-0.17.3/work_dirs/uvtr_l_v0075_h5 by HardDiskBackend.
Traceback (most recent call last):
File "extra_tools/train.py", line 248, in
main()
File "extra_tools/train.py", line 244, in main
meta=meta)
File "/0812/mmdetection3d-0.17.3/mmdet3d/apis/train.py", line 35, in train_model
meta=meta)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmdet/apis/train.py", line 170, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 127, in run
epoch_runner(data_loaders[i], kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 50, in train
self.run_iter(data_batch, train_mode=True, kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 30, in run_iter kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/parallel/data_parallel.py", line 75, in train_step
return self.module.train_step(inputs[0], kwargs[0])
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmdet/models/detectors/base.py", line 237, in train_step
losses = self(data)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 216, in new_func
output = old_func(new_args, new_kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 255, in forward
return self.forward_train(kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 296, in forward_train
pts_feat, img_feats, img_depth = self.extract_feat(points=points, img=img, img_metas=img_metas)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 130, in new_func
output = old_func(new_args, new_kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 187, in extract_feat
pts_feats = self.extract_pts_feat(points, img_feats, img_metas)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 216, in new_func
output = old_func(new_args, new_kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 138, in extract_pts_feat
x = self.pts_middle_encoder(voxel_features, coors, batch_size)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 98, in new_func
return old_func(args, kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/pts_encoder/sparse_encoder_hd.py", line 119, in forward
x = self.conv_input(input_sp_tensor)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/modules.py", line 130, in forward
input = module(input)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/conv.py", line 186, in forward
outids.shape[0])
File "/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/functional.py", line 65, in forward
indice_pair_num, num_activate_out, False, True)
File "*/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/ops.py", line 124, in indice_conv
int(subm))
RuntimeError: Expected object of scalar type Float but got scalar type Half for argument #2 'mat2' in call to _th_mm_out
The text was updated successfully, but these errors were encountered:
Hi, I ran into the following problems while training based on this project. Hope for help, thank you.
RUN:
python extra_tools/train.py projects/configs/uvtr/lidar_based/uvtr_l_v0075_h5.py
Environment:
TorchVision: 0.6.0a0+82fd1c8
OpenCV: 4.6.0
MMCV: 1.4.0
MMCV Compiler: GCC 5.4
MMCV CUDA Compiler: 10.1
MMDetection: 2.14.0
MMSegmentation: 0.14.1
MMDetection3D: 0.17.3+
Errors:
2022-08-12 11:21:31,523 - mmdet - INFO - Checkpoints will be saved to /0812/mmdetection3d-0.17.3/work_dirs/uvtr_l_v0075_h5 by HardDiskBackend.
Traceback (most recent call last):
File "extra_tools/train.py", line 248, in
main()
File "extra_tools/train.py", line 244, in main
meta=meta)
File "/0812/mmdetection3d-0.17.3/mmdet3d/apis/train.py", line 35, in train_model
meta=meta)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmdet/apis/train.py", line 170, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 127, in run
epoch_runner(data_loaders[i], kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 50, in train
self.run_iter(data_batch, train_mode=True, kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 30, in run_iter
kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/parallel/data_parallel.py", line 75, in train_step
return self.module.train_step(inputs[0], kwargs[0])
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmdet/models/detectors/base.py", line 237, in train_step
losses = self(data)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 216, in new_func
output = old_func(new_args, new_kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 255, in forward
return self.forward_train(kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 296, in forward_train
pts_feat, img_feats, img_depth = self.extract_feat(points=points, img=img, img_metas=img_metas)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 130, in new_func
output = old_func(new_args, new_kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 187, in extract_feat
pts_feats = self.extract_pts_feat(points, img_feats, img_metas)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 216, in new_func
output = old_func(new_args, new_kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/detectors/uvtr.py", line 138, in extract_pts_feat
x = self.pts_middle_encoder(voxel_features, coors, batch_size)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 98, in new_func
return old_func(args, kwargs)
File "/0812/mmdetection3d-0.17.3/projects/mmdet3d_plugin/models/pts_encoder/sparse_encoder_hd.py", line 119, in forward
x = self.conv_input(input_sp_tensor)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/modules.py", line 130, in forward
input = module(input)
File "/.conda/envs/open-mmlab2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(input, kwargs)
File "/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/conv.py", line 186, in forward
outids.shape[0])
File "/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/functional.py", line 65, in forward
indice_pair_num, num_activate_out, False, True)
File "*/0812/mmdetection3d-0.17.3/mmdet3d/ops/spconv/ops.py", line 124, in indice_conv
int(subm))
RuntimeError: Expected object of scalar type Float but got scalar type Half for argument #2 'mat2' in call to _th_mm_out
The text was updated successfully, but these errors were encountered: