Rock

Thank you for reply! I can see `os.environ['CUDA_VISIBLE_DEVICES']` equals to 0 in **stdout** of the first trial, no matter before or after `model.eval()`. I set the keyword at the start...

I notice `placementConstraint: { type: 'None', gpus: [] }` in the log, is that ok? BTW, downgrade nni to 2.2 and it can run continuously with TPE tuner.

if everything works properly, just ignore it. https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator/issues/37

@AngusHuang17 `pip install nni==2.5` may solve the problem

> you can use > > ``` > exp_config.trial_gpu_number = 1 > exp_config.training_service.use_active_gpu = True > ``` > > to set gpu, and then nni will automatic chose gpu. >...

> GPU scheduler is somehow broken currently. We will solve it in 3.0 release. got it. thanks for your contribution

用it吧，这个主题其实没有数学公式支持 [hexo-renderer-markdown-it-plus+katex](https://blog.csdn.net/appleyuchi/article/details/92795620?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_baidulandingword~default-1-92795620-blog-105846999.pc_relevant_multi_platform_whitelistv3&spm=1001.2101.3001.4242.2&utm_relevant_index=4)

> Hey I was trying to implement the code but it gives error : one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor...

You said it. We improved it and you can replace the start of `condensation/gcond_agent_transduct.py` with below. ```python def __init__(self, data, args, device='cuda', **kwargs): self.data = data self.args = args self.device...

Common node classification methods follow the AXW sheme, which facilitates the graph structure learning (fix W and update A/X). Using the same idea, pairwise link prediction task (MLP(v1,v2)), you can...