aiob参数
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Quiet
- Domain
- cli, documentation, machine-learning
Research direction
Start by reading aicb/workload/aiob_inputs/Example.txt and tracing scripts/megatron_workload_with_aiob.sh. Document the source GPU model and data, explain train_iter, identify whether model size can be changed, and show how workload iteration count is controlled. Done means these command and input-file questions are answered with concrete references.
Written by the indexing model from the issue text.
Description
请问aicb/workload/aiob_inputs/Example.txt中example中的数据是什么GPU型号的,怎么得来的,上面train_iter:10是什么意思,此外我使用
sh ./scripts/megatron_workload_with_aiob.sh -m 7
--world_size 4096 --tensor_model_parallel_size 2 --pipeline_model_parallel 1
--frame Megatron --global_batch 8192
--micro_batch 1 --seq_length 4096 --swiglu
--use_flash_attn --aiob_enable
--comp_filepath workload/aiob_inputs/Example.txt
命令生成训练工作负载,其中模型参数大小可以随意修改吗比如我想run个15B的,迭代次数如何控制,目前命令看不到这是迭代多少次的工作负载
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 184
- Avg merge
- 6h 47m
- Merged PRs (30d)
- 2
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