How to solve this error when I finetune the model use custom dataset?

[CachCheng]

../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [30,0,0], thread: [92,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed.
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[rank1]:[E1030 19:36:07.513873021 ProcessGroupNCCL.cpp:1515] [PG 0 (default_pg) Rank 1] Process group watchdog thread terminated with exception: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Exception raised from c10_cuda_check_implementation at ../c10/cuda/CUDAException.cpp:43 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x96 (0x7f2f86a70f86 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x64 (0x7f2f86a1fd10 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libc10.so)
frame #2: c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, int, bool) + 0x118 (0x7f2f86b4bf08 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libc10_cuda.so)
frame #3: c10d::ProcessGroupNCCL::WorkNCCL::finishedGPUExecutionInternal() const + 0x56 (0x7f2f87d683e6 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #4: c10d::ProcessGroupNCCL::WorkNCCL::isCompleted() + 0xa0 (0x7f2f87d6d600 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #5: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1da (0x7f2f87d742ba in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #6: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f2f87d766fc in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #7: + 0xdbbf4 (0x7f2fd550fbf4 in /home/ahs/anaconda3/envs/py310/bin/../lib/libstdc++.so.6)
frame #8: + 0x76db (0x7f2fd75486db in /lib/x86_64-linux-gnu/libpthread.so.0)
frame #9: clone + 0x3f (0x7f2fd6acc61f in /lib/x86_64-linux-gnu/libc.so.6)

[rank3]:[E1030 19:36:07.515488087 ProcessGroupNCCL.cpp:1515] [PG 0 (default_pg) Rank 3] Process group watchdog thread terminated with exception: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Exception raised from c10_cuda_check_implementation at ../c10/cuda/CUDAException.cpp:43 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x96 (0x7f6bcb2adf86 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x64 (0x7f6bcb25cd10 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libc10.so)
frame #2: c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, int, bool) + 0x118 (0x7f6bcb388f08 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libc10_cuda.so)
frame #3: c10d::ProcessGroupNCCL::WorkNCCL::finishedGPUExecutionInternal() const + 0x56 (0x7f6bcc5a53e6 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #4: c10d::ProcessGroupNCCL::WorkNCCL::isCompleted() + 0xa0 (0x7f6bcc5aa600 in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #5: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1da (0x7f6bcc5b12ba in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #6: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f6bcc5b36fc in /home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #7: + 0xdbbf4 (0x7f6c19d4cbf4 in /home/ahs/anaconda3/envs/py310/bin/../lib/libstdc++.so.6)
frame #8: + 0x76db (0x7f6c1bd856db in /lib/x86_64-linux-gnu/libpthread.so.0)
frame #9: clone + 0x3f (0x7f6c1b30961f in /lib/x86_64-linux-gnu/libc.so.6)

W1030 19:36:08.253000 140521457722304 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 96054 closing signal SIGTERM
E1030 19:36:08.468000 140521457722304 torch/distributed/elastic/multiprocessing/api.py:833] failed (exitcode: -6) local_rank: 0 (pid: 96052) of binary: /home/ahs/anaconda3/envs/py310/bin/python
Traceback (most recent call last):
File "/home/ahs/anaconda3/envs/py310/bin/torchrun", line 8, in
sys.exit(main())
File "/home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 348, in wrapper
return f(*args, **kwargs)
File "/home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/distributed/run.py", line 901, in main
run(args)
File "/home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/distributed/run.py", line 892, in run
elastic_launch(
File "/home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 133, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/home/ahs/anaconda3/envs/py310/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 264, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

train.py FAILED

Failures:
[1]:
time : 2024-10-30_19:36:08
host : ahs-SYS-4029GP-TRTC-ZY001
rank : 1 (local_rank: 1)
exitcode : -6 (pid: 96053)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 96053
[2]:
time : 2024-10-30_19:36:08
host : ahs-SYS-4029GP-TRTC-ZY001
rank : 3 (local_rank: 3)
exitcode : -6 (pid: 96055)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 96055

Root Cause (first observed failure):
[0]:
time : 2024-10-30_19:36:08
host : ahs-SYS-4029GP-TRTC-ZY001
rank : 0 (local_rank: 0)
exitcode : -6 (pid: 96052)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 96052

[Peterande]

There are many possible causes for this error, such as discrepancies between the specified and actual number of GPUs, or an out-of-bounds index somewhere in the code. Without more information, I can't pinpoint the issue. The best solution would be to add the following lines to train.py:

import os
os.environ['CUDA_LAUNCH_BLOCKING'] = '1'

Alternatively, use debug mode to identify the specific location of the problem.

[Peterande]

Try not to paste the log directly, this will cause # references all other issues

[yaosx425]

我也遇到了这个问题，我的原因是因为我自定义的数据集的类别数量在配置文件中写少了，不匹配导致索引超出，然后报了一样的错误

[CachCheng]

我也遇到了这个问题，我的原因是因为我自定义的数据集的类别数量在配置文件中写少了，不匹配导致索引超出，然后报了一样的错误

感谢告知

[CachCheng]

There are many possible causes for this error, such as discrepancies between the specified and actual number of GPUs, or an out-of-bounds index somewhere in the code. Without more information, I can't pinpoint the issue. The best solution would be to add the following lines to train.py:

import os
os.environ['CUDA_LAUNCH_BLOCKING'] = '1'

Alternatively, use debug mode to identify the specific location of the problem.

src/data/datasetset/coco_dataset.py:

category2label = kwargs.get('category2label', None)
if category2label is not None:
labels = [category2label[obj["category_id"]] for obj in anno]
else:
labels = [obj["category_id"] for obj in anno]

这里代码建议修改：
category2label = kwargs.get('category2label', None)
if category2label is not None:
labels = [category2label[obj["category_id"]] for obj in anno]
else:
labels = [obj["category_id"] - 1 for obj in anno]

使用coco格式的数据集，"category_id"自动从1开始的，而labels值需要从0开始，上述报错就是这个原因。

[RuiWu-yes]

D-FINE/configs/dataset/obj365_detection.yml:
task: detection

evaluator:
type: CocoEvaluator
iou_types: ['bbox', ]

num_classes: 366 # 上面bug就是因为这个类别数设置的问题。如果是自定义数据集训练应该写成clsnum + 1
remap_mscoco_category: False