JiLi

请问inference model到时候会开源出来嘛，想试试能否实际的去应用一下。

/content/drive/My Drive/ssd/ssd.pytorch/ssd.py:34: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead. self.priors = Variable(self.priorbox.forward(), volatile=True) Loading base network... Initializing weights... train.py:214: UserWarning: nn.init.xavier_uniform is now deprecated...

I just want to detect one traffic sign. but it doesn't work and it report the error. I can't find error and it's solutions looks like it.

I meet the same problem, Do you solve it ?

Hi，I want it ,too. there is a project for me to adress it by using action localization.

> is it possible to share the training script? > One possible suspect is the calling path is calling megatron.core.models.gpt.GPTModel instead of megatron.model.GPTModel. Currently the patch is effective on megatron.model.GPTModel....

> Hi @GeLee-Q , Thanks for the interest in our work. Could you share which version (or git commit) are you using? Thanks Thank you, I have integrated these two...

> > > Hi @GeLee-Q , Thanks for the interest in our work. Could you share which version (or git commit) are you using? Thanks > > > > >...

The reason why this issue is hanging is that the execution of self.inference_engine.resume_memory_occupation() encountered the error: [torch_memory_saver.cpp] CUresult error result=2 file=csrc/torch_memory_saver.cpp func=cu_mem_create line=103 A similar issue https://github.com/volcengine/verl/issues/1431 has also occurred...

The previous hang was likely caused by an Out of Memory (OOM) error on the GPU. You can try reducing the gpu_memory_utilization to a lower value. For example, on an...