which version of hydra do you recommend to work with CUDA?

[ahsanfarooqui]

Hello. I am getting this error everytime I run the code

/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/defaults_list.py:251: UserWarning: In 'cls': Defaults list is missing _self_. See https://hydra.cc/docs/upgrades/1.0_to_1.1/default_composition_order for more information
warnings.warn(msg, UserWarning)
/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/core/default_element.py:126: UserWarning: In 'model/Menghao': Usage of deprecated keyword in package header '# @Package group'.
See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header for more information
See {url} for more information"""
{'model': {'name': 'Menghao'}, 'batch_size': 16, 'epoch': 200, 'learning_rate': 0.001, 'gpu': 1, 'num_point': 1024, 'optimizer': 'Adam', 'weight_decay': 0.0001, 'normal': True}
[2022-09-17 13:35:42,215][main][INFO] - Load dataset ...
The size of train data is 9843
The size of test data is 2468
Error executing job with overrides: []
Traceback (most recent call last):
File "train_cls.py", line 162, in
main()
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/main.py", line 52, in decorated_main
config_name=config_name,
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 378, in _run_hydra
lambda: hydra.run(
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 214, in run_and_report
raise ex
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 211, in run_and_report
return func()
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 381, in
overrides=args.overrides,
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/hydra.py", line 111, in run
_ = ret.return_value
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/core/utils.py", line 233, in return_value
raise self._return_value
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/core/utils.py", line 160, in run_job
ret.return_value = task_function(task_cfg)
File "train_cls.py", line 68, in main
classifier = getattr(importlib.import_module('models.{}.model'.format(args.model.name)), 'PointTransformerCls')(args).cuda()
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 689, in cuda
return self._apply(lambda t: t.cuda(device))
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 579, in _apply
module._apply(fn)
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 602, in _apply
param_applied = fn(param)
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 689, in
return self._apply(lambda t: t.cuda(device))
File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/cuda/init.py", line 217, in _lazy_init
torch._C._cuda_init()
RuntimeError: No CUDA GPUs are available

If I dont run it through hydra, it compiles easily. Any specific versions of Hydra that you are using?

[tengfeixue-victor]

Hello. I am getting this error everytime I run the code

/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/defaults_list.py:251: UserWarning: In 'cls': Defaults list is missing _self_. See https://hydra.cc/docs/upgrades/1.0_to_1.1/default_composition_order for more information warnings.warn(msg, UserWarning) /home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/core/default_element.py:126: UserWarning: In 'model/Menghao': Usage of deprecated keyword in package header '# @Package group'. See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header for more information See {url} for more information""" {'model': {'name': 'Menghao'}, 'batch_size': 16, 'epoch': 200, 'learning_rate': 0.001, 'gpu': 1, 'num_point': 1024, 'optimizer': 'Adam', 'weight_decay': 0.0001, 'normal': True} [2022-09-17 13:35:42,215][main][INFO] - Load dataset ... The size of train data is 9843 The size of test data is 2468 Error executing job with overrides: [] Traceback (most recent call last): File "train_cls.py", line 162, in main() File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/main.py", line 52, in decorated_main config_name=config_name, File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 378, in _run_hydra lambda: hydra.run( File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 214, in run_and_report raise ex File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 211, in run_and_report return func() File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/utils.py", line 381, in overrides=args.overrides, File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/_internal/hydra.py", line 111, in run _ = ret.return_value File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/core/utils.py", line 233, in return_value raise self._return_value File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/hydra/core/utils.py", line 160, in run_job ret.return_value = task_function(task_cfg) File "train_cls.py", line 68, in main classifier = getattr(importlib.import_module('models.{}.model'.format(args.model.name)), 'PointTransformerCls')(args).cuda() File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 689, in cuda return self._apply(lambda t: t.cuda(device)) File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 579, in _apply module._apply(fn) File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 602, in _apply param_applied = fn(param) File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 689, in return self._apply(lambda t: t.cuda(device)) File "/home/myuser/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/cuda/init.py", line 217, in _lazy_init torch._C._cuda_init() RuntimeError: No CUDA GPUs are available

If I dont run it through hydra, it compiles easily. Any specific versions of Hydra that you are using?

Any solutions? I got the same issue. thanks!

[LudvigDillen]

I got the same issue and solved it by removing the line
os.environ["CUDA_VISIBLE_DEVICES"] = str(args.gpu)
from the train_cls.py file. Apparently, the script tried to access my second GPU, even though I only have one. Now everything runs for me.
Hope this helps :)

[qq456cvb]

Use hydra-core as pinned in requirements.txt (1.1+ is fine). The _self_ and # @package _group_ messages are just deprecation warnings, not errors, so training still runs. If you want them gone, pass version_base=None to @hydra.main and add - _self_ to the defaults list in the configs. They have nothing to do with CUDA.