Quick tour 在Accelerate中使用DeepSpeed:DeepSpeed 作用:使得相同代码在不同配置的分布式环境中得以执行,be run across any distributed configuration 基于torch_xlaandtorch.distributed构建,使用DeepSpeed,FSDP,混合精度计算等; 环境配置 命令:accelerate config 回答相应问题,会保存默认的环境 查看环境配置:accelerate env ...
这个其实就是deepspeed对torchrun原生的封装 accelerate配置如下: compute_environment: LOCAL_MACHINE deepspeed_config: deepspeed_multinode_launcher: standard gradient_accumulation_steps: 1 gradient_clipping: 1.0 offload_optimizer_device: none offload_param_device: none zero3_init_flag: true zero3_save_16bit...
deepspeed --include="localhost:0"src/train_bash.py [llama-factory参数] --deepspeed /root/ds_config.json 注意 单机训练不需要配置hostfile,但是需要配置localhost 配置方式2 通过accelerate,accelerate配置文件如下: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 compute_environment: LOCAL_MACHINE...
deepspeed_config_file: /path/to/zero3_offload_config_accelerate.json zero3_init_flag: true distributed_type: DEEPSPEED fsdp_config: {} machine_rank: 0 main_process_ip: null main_process_port: null main_training_function: main mixed_precision: fp16 num_machines: 1 num_processes: 2 use_...
deepspeed_config_file: /path/to/zero3_offload_config_accelerate.json zero3_init_flag: true distributed_type: DEEPSPEED fsdp_config: {} machine_rank: 0 main_process_ip: null main_process_port: null main_training_function: main mixed_precision: fp16 num_machines: 1 num_processes: 2 use_c...
deepspeed_config_file: /path/to/zero3_offload_config_accelerate.json zero3_init_flag: true distributed_type: DEEPSPEED fsdp_config: {} machine_rank: 0 main_process_ip: null main_process_port: null main_training_function: main mixed_precision: fp16 num_machines: 1 num_processes: 2 use_cpu...
HuggingFace 的 accelerate 库可以实现只需要修改几行代码就可以实现ddp训练,且支持混合精度训练和TPU训练。(甚至支持deepspeed。) accelerate支持的训练方式为CPU/单GPU (TPU)/多GPU(TPU) DDP模式/fp32/fp16等。 安装 pip install accelerate 使用 使用accelerate进行单卡或者多卡训练的代码是相同的,不过在单卡训练的...
ONNX Runtime supports mixed precision training with a variety of solutions like PyTorch’s nativeAMP,Nvidia’s Apex O1, as well as withDeepSpeed FP16. This allows the user with flexibility to avoid changing their current set up to bring ORT’s acceleration capabilitie...
ONNX Runtime supports mixed precision training with a variety of solutions like PyTorch’s native AMP, Nvidia’s Apex O1, as well as with DeepSpeed FP16. This allows the user with flexibility to avoid changing their current set up to bring ORT’s acceleration capabilities ...
use_cpu: true main_process_port: 20667 主要关注num_processes,要和使用的显卡数量一致。 训练启动脚本,使用CUDA_VISIBLE_DEVICES指定机器上使用的显卡;nohup后台启动;accelerate launch 启动accelerate;--config_file 配置文件设置以及deepspeed的配置等 CUDA_VISIBLE_DEVICES=1,2,4,5 nohup accelerate launch --confi...