stage3_prefetch_bucket_size是Deepspeed Zero3配置中的一个关键参数,它决定了在数据预取阶段,每个预取桶(bucket)中可以包含的数据量。这个参数的设置对于平衡内存使用和训练速度至关重要。如果设置不当,可能会导致内存溢出或训练速度下降。 问题分析 当Deepspeed Zero3报告stage3_prefetch_bucket_size应为有效整数时,这...
"sub_group_size": 1.000000e+09, "reduce_bucket_size": 1.677722e+07, "stage3_prefetch_bucket_size": 1.509949e+07, "stage3_param_persistence_threshold": 4.096000e+04, "stage3_max_live_parameters": 1.000000e+09, "stage3_max_reuse_distance": 1.000000e+09, "stage3_gather_16bit_weights_o...
Reminder I have read the README and searched the existing issues. System Info llamafactory 0.8.4.dev0 transformers 4.45.0 deepspeed 0.14.4 Reproduction 启动命令: torchrun --nproc_per_node 8 src/train.py --deepspeed examples/deepspeed/ds_z3_c...
But when we want to train a very large-scale model, we may need to setstage3_prefetch_bucket_size,stage3_max_live_parametersto 0. In this circumstance, the Allgather communication has a very big overhead in restarting CPU to dispatch jobs to GPU. So we can see the idle before computat...
{"device":"cpu","pin_memory":true},"overlap_comm":true,"contiguous_gradients":true,"sub_group_size":1e9,"reduce_bucket_size":"auto","stage3_prefetch_bucket_size":"auto","stage3_param_persistence_threshold":"auto","stage3_max_live_parameters":1e9,"stage3_max_reuse_distance":1e9,"...
{ "stage": 3, "overlap_comm": true, "contiguous_gradients": true, "reduce_bucket_size": "auto", "stage3_prefetch_bucket_size": "auto", "stage3_param_persistence_threshold": "auto", "sub_group_size": 1e9, "stage3_max_live_parameters": 1e9, "stage3_max_reuse_distance": 1e9,...