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When running the evaluation script, a floating - point exception (Floating point exception(core dumped)) occurred. Additionally, warnings related to CUDA graphs were displayed during the execution. The specific log is as follows:
INFO 01 - 23 22:03:50 model_runner.py:980] Capturing the model for CUDA graphs. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce - eager' in the CLI.
INFO 01 - 23 22:03:50 model_runner.py:984] CUDA graphs can take additional 1~3 GiB memory per GPU. If you are running out of memory, consider decreasing gpu_memory_utilization or enforcing eager mode. You can also reduce the max_num_seqs as needed to decrease memory usage.
eval.sh: line 8: 158893 Floating point exception(core dumped) CUDA_VISIBLE_DEVICES = 0 python pipeline/gen.py --gen_save_path "data/res/250123llama318b.jsonl" --model_name_or_path "./Llama3 - 8B_0122/global_step_3411" --datasets "math/test" "gsm8k/test" --max_new_toks 2048 --temperature 0 --prompt_template "cot" --n_shots - 1 --inf_seed - 1 --max_n_trials 1
Could you help me?
The text was updated successfully, but these errors were encountered:
When running the evaluation script, a floating - point exception (Floating point exception(core dumped)) occurred. Additionally, warnings related to CUDA graphs were displayed during the execution. The specific log is as follows:
Could you help me?
The text was updated successfully, but these errors were encountered: