fp16_cfg = cfg.get('fp16',None)iffp16_cfgisnotNone:# 如果我们设置了,则会生成一个Fp16OptimizerHook的实例optimizer_config = Fp16OptimizerHook( **cfg.optimizer_config, **fp16_cfg, distributed=False)else:# 如果我们没有设置,则正常从config里面读取optimizer_config# 如设置grad_clip: optimizer_c...
#从config里读取fp16字段,如果没有为None;fp16_cfg=cfg.get('fp16',None)iffp16_cfgisnotNone:# 如果我们设置了,则会生成一个Fp16OptimizerHook的实例optimizer_config=Fp16OptimizerHook(**cfg.optimizer_config,**fp16_cfg,distributed=False)else:# 如果我们没有设置,则正常从config里面读取optimizer_config#...
# fp16 setting fp16_cfg = cfg.get('fp16', None) if fp16_cfg is not None: optimizer_config = Fp16OptimizerHook( **cfg.optimizer_config, **fp16_cfg, distributed=distributed) elif distributed and 'type' not in cfg.optimizer_config: optimizer_config = OptimizerHook(**cfg.optimizer_config...
fp16_cfg = cfg.get('fp16', None)if fp16_cfg is not None:# 如果我们设置了，则会⽣成⼀个Fp16OptimizerHook的实例 optimizer_config = Fp16OptimizerHook(**cfg.optimizer_config, **fp16_cfg, distributed=False)else:# 如果我们没有设置，则正常从config⾥⾯读取optimizer_config # 如设置grad...
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving - SurroundOcc/tools/fp16/train.py at main · weiyithu/SurroundOcc
if out_dir is not None: self.out_dir_3d = osp.join(out_dir, '3d') self.out_dir_superres = osp.join(out_dir, 'superres') @@ -71,8 +72,9 @@ def __init__(self, device, local_files_only=False, empty_cache=True, unload_mode print('\nInitializing modules...') self.device ...
提示 使用torch.optim.lr_scheduler和FP16训练时,需要传递optimizer.optimizer给LR 调度器而不是优化器。请参阅以下示例代码。 from torch.optim.lr_scheduler import StepLR scheduler = StepLR( optimizer.optimizer if smp.state.cfg.fp16 else optimizer, step_size=1, gamma=args.gamma ) ...
Nehmen Sie für das FP16 Training mit Modellparallelität Änderungen an Ihrem Trainingsskript und Ihrem Schätzer vor.
self.__setup_decoder(input_ids, scfg, host_context_lengths) 1.对以下参数进行torch.full填充初始值,然后setup fastertransformer.setup self.top_k,self.top_p,self.temperature,self.repetition_penalty, self.length_penalty , self.presence_penalty,self.min_length, self.beam_search_diversity_rate ...
model_cfg=dict(dim=1024,depth=24,heads=16,ff_mult=4) ckpt_path=f"ckpts/{exp_name}/model_{ckpt_step}.pt" ckpt_path=f"ckpts/{exp_name}/model_{ckpt_step}.safetensors" output_dir="tests" # [leverage https://github.com/MahmoudAshraf97/ctc-forced-aligner to get char level alignment...