Code Monkey home page Code Monkey logo

Comments (3)

CaraJ7 avatar CaraJ7 commented on September 3, 2024

Hi @justinday123 , thanks for your feedback.

We fix the bug. It should work fine now. Please refer to #8 for more details.

from hop.

justinday123 avatar justinday123 commented on September 3, 2024

i got an another issue
Traceback (most recent call last):
File "tools/train.py", line 288, in
main()
File "tools/train.py", line 277, in main
train_model(
File "/workspace/hyundai/HoP/mmdet3d/apis/train.py", line 344, in train_model
train_detector(
File "/workspace/hyundai/HoP/mmdet3d/apis/train.py", line 319, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 136, in run
epoch_runner(data_loaders[i], **kwargs)
File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 53, in train
self.run_iter(data_batch, train_mode=True, **kwargs)
File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 31, in run_iter
outputs = self.model.train_step(data_batch, self.optimizer,
File "/opt/conda/lib/python3.8/site-packages/mmcv/parallel/data_parallel.py", line 77, in train_step
return self.module.train_step(*inputs[0], **kwargs[0])
File "/opt/conda/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 248, in train_step
losses = self(**data)
File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/fp16_utils.py", line 116, in new_func
return old_func(*args, **kwargs)
File "/workspace/hyundai/HoP/mmdet3d/models/detectors/base.py", line 60, in forward
return self.forward_train(**kwargs)
File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 399, in forward_train
img_feats, pts_feats, depth, prev_feats = self.extract_feat(
File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 184, in extract_feat
img_feats, depth, prev_feats = self.extract_img_feat(img, img_metas, **kwargs)
File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 231, in extract_img_feat
bev_feat, depth = self.prepare_bev_feat(*inputs_curr)
File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 142, in prepare_bev_feat
bev_feat, depth = self.img_view_transformer(
File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 697, in forward
return self.view_transform(input, depth, tran_feat)
File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 285, in view_transform
return self.view_transform_core(input, depth, tran_feat)
File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 276, in view_transform_core
coor = self.get_lidar_coor(*input[1:7])
File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 132, in get_lidar_coor
points = torch.inverse(post_rots).view(B, N, 1, 1, 1, 3, 3)
RuntimeError: CUDA error: operation not supported when calling cusparseCreate(handle)

how could i solve it?
i'm using CUDA 11.1

from hop.

CaraJ7 avatar CaraJ7 commented on September 3, 2024

Hi, the problem seems to be related to your environment. Maybe this link can be of help.

from hop.

Related Issues (17)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.