2、使用accelerate统一的启动方式进行启动 accelerate config --config_file path_to_config.yaml 配置分布式环境 accelerate test --config_file path_to_config.yaml 测试分布式环境 accelerate launch --config_file path_to_config.yaml path_to_script.py --args_for_the_script 任务启动 accelerate launch -h ...
accelerate test --config_file path_to_config.yaml 如果测试通过,你可以通过如下的命令来执行你的脚本: accelerate launch path_to_script.py --args_for_the_script 也可以指定配置文件的位置: accelerate launch --config_file path_to_config.yaml path_to_script.py --args_for_the_script 在单个进程上执...
首先是initialize函数,主要是做一些配置和路径的初始化。这里需要留意的是,整个项目共有3个配置相关的文件:configs文件下的paths.yml和config.json,以及当前目录下的config.yml。各个配置文件的关系比较复杂,按我个人的理解: configs/paths.yml就是指定路径的,里面只有两行:之前指定的dataset_root和assets_root。 config...
--deepspeed ${deepspeed_config_file} --reserved_label_len ${max_target_length} 报错信息: Traceback (most recent call last): File "src/train_bash.py", line 16, in main() File "src/train_bash.py", line 7, in main run_exp() File "/root/tianlian/xilin/bigmodels_experiment/large_mo...
export CUDA_VISIBLE_DEVICES=0,1,2,3 accelerate launch --config_file 4GPUs_config.yaml --main_process_port 20655 run_clm.py \ --data_dir "./nq_dataset" \ --model_name_or_path "gpt2" \ --top_k_passage 5 \ --num_train_epochs 40 \ --max_background_len 960 \ --max_seq_len...
blade_model_path='bevformer_export.pth.blade' config_file='configs/detection3d/bevformer/bevformer_base_r101_dcn_nuscenes.py' predictor=BEVFormerPredictor( model_path=blade_model_path, config_file=config_file, model_type='blade', ) inputs_file='nuscenes_infos_temporal_val.pkl'# 以NuScenes va...
nugetconfig,<path>[,<rw>]– Adds a cache source based on a NuGet config-file. Equivalent to the -Config parameter in the NuGet command line interface. This config should specify defaultPushSource for uploads. interactive– Enable interactive credential management for NuGet. Also r...
blade_model_path ='bevformer_export.pth.blade'config_file ='configs/detection3d/bevformer/bevformer_base_r101_dcn_nuscenes.py'predictor = BEVFormerPredictor(model_path=blade_model_path,config_file=config_file,model_type='blade', ) inputs_file ='nuscenes_infos_temporal_val.pkl'# 以NuScenes va...
1. Download the token file and copy it to the RHEL directory: /etc/nvidia/ClientConfigToken 2. Change permissions for the client token file: [root@localhost:~] cd /etc/nvidia/ClientConfigToken [root@localhost:~] chmod 744 client_configuration_token_09-25-...
bevformer_base_r101_dcn_nuscenes.py'predictor = BEVFormerPredictor(model_path=blade_model_path,config_file=config_file,model_type='blade',)inputs_file = 'nuscenes_infos_temporal_val.pkl' # 以NuScenes val数据集文件为例input_samples = mmcv.load(inputs_file)['infos']predict_results = ...