iparm(3)=mkl_set_num_threads(64) ! must be 0, see the docs https://software.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-fortran/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-interface/pardiso-iparm-parameter.htmliparm( 4)= 0 ...
iparm(3)=mkl_set_num_threads(64) ! must be 0, see the docs https://software.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-fortran/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-interface/pardiso-iparm-parameter.htmliparm...
iparm(3)=mkl_set_num_threads(64) ! must be 0, see the docs https://software.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-fortran/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-interface/pardiso-iparm-parameter.htmliparm( 4)= 0 !...
iparm(3)=mkl_set_num_threads(64) ! must be 0, see the docs https://software.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-fortran/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-interface/pardiso-iparm-parameter.htmliparm( 4)= 0 ! no...
iparm(3)=mkl_set_num_threads(64) ! must be 0, see the docs https://software.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-fortran/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-interface/pardiso-iparm-parameter.htmliparm( 4)...
Reminder I have read the README and searched the existing issues. Reproduction 求大佬们帮忙看下这个问题: 问题描述: 在slurm上多机多卡进行sft处理数据集时只要preprocessing_num_workers > 1, 程序就会卡在 /LLaMA-Factory/src/llmtuner/train/sft/workflow.py的这一
Role of GPUs: Graphics Processing Units (GPUs) are presented as a key tool in handling the computational demands of large-scale algorithms. The chapter delves into the capabilities of GPUs, particularly their ability to execute numerous threads concurrently, making them essential for high-performance...