supinyu
supinyu
hello,我这边减少了report_steps 单卡的效果如下: 多卡的效果如下 GPU利用率 监控  多卡的时候,感觉还是卡死了,一直也没有出report
Hi @AshwinB-hat I also meet this error. Python Version Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 18:10:19) [GCC 7.2.0] on linux Type "help", "copyright", "credits" or "license" for more...
Thank you very much JulienB-78. I update the xgboost version to 1.1.0rc1. The code will not have this error.
可能是我这边环境的问题,我这边在看一下
@vpegasus I also meet this error. you could add `model.enable_input_require_grads()` and try it ```model_id ='baichuan-inc/Baichuan-13B-Base' tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True,use_fast=False) model = AutoModelForCausalLM.from_pretrained(model_id,load_in_8bit=True,device_map='auto', trust_remote_code=True) model.enable_input_require_grads() ```
Hello, thank you for your feedback. We will try to modify this logic.
We have fixed this issue and welcome you to contact us if you have any questions.