1.确保你的环境中含有accelerate库,若没有则安装: pip install accelerate 2.配置两个config文件: config1.yaml文件用于A进程: compute_environment: LOCAL_MACHINE debug: false distributed_type: MULTI_GPU downcast_bf16: 'no' enable_cpu_affinity: false machine_rank: 0 main_process_ip: null main_process...
这里我将设置好的单卡fp16训练的config文件放在下面,也可以通过前面的命令accelerate config --config-file fp16.yaml在设置中选择FP16 compute_environment:LOCAL_MACHINEdebug:falsedistributed_type:'NO'downcast_bf16:'no'enable_cpu_affinity:falsegpu_ids:'2'machine_rank:0main_training_function:mainmixed_preci...
Fixed the problem of incorrect conditional judgment statement when configuring enable_cpu_affinity by@statelesshzinhttps://github.com/huggingface/accelerate/pull/2748 Fix stacklevel inloggingto log the actual user call site (instead of the call site inside the logger wrapper) of log functions by...
downcast_bf16: 'no' enable_cpu_affinity: false machine_rank: 0 main_training_function: main mixed_precision: bf16 num_machines: 1 num_processes: 6 # 请按照实际GPU数量进行设置 rdzv_backend: static same_network: true tpu_env: [] tpu_use_cluster: false tpu_use_sudo: false use_cpu: ...
Objectives that are calculable in CPU milliseconds, such as SA_Score or clogP, can be screened exhaustively and do not warrant model-guided optimization tools. MolPAL could also be applied to consensus docking by optimizing multiple scoring functions that predict binding affinity to the same target...
"enable_cpu_affinity": false, "machine_rank": 0, "main_training_function": "main", "mixed_precision": "no", "num_machines": 1, "num_processes": 8, "rdzv_backend": "static", "same_network": false, "tpu_use_cluster": false, ...
'no' enable_cpu_affinity: false machine_rank: 0 main_process_ip: '192.168.0.1' main_process_port: 29500 main_training_function: main mixed_precision: fp16 num_machines: 2 num_processes: 16 rdzv_backend: static same_network: true tpu_env: [] tpu_use_cluster: false tpu_use_sudo: false...
compute_environment: LOCAL_MACHINE debug: false deepspeed_config: deepspeed_config_file: /root/Codes/axolotl/deepspeed_configs/zero3.json deepspeed_multinode_launcher: standard zero3_init_flag: true distributed_type: DEEPSPEED downcast_bf16: 'no' enable_cpu_affinity: false machine_rank: 0 # 主机的...
14 + enable_cpu_affinity: false 15 + machine_rank: 0 16 + main_training_function: main 17 + mixed_precision: bf16 18 + num_machines: 1 19 + num_processes: 2 20 + rdzv_backend: static 21 + same_network: true 22 + tpu_env: [] 23 + tpu_use_cluster: false 24...
function: main - enable_cpu_affinity: True - downcast_bf16: no - tpu_use_cluster...