aliyun / aliyun/SimAI

如何只仿真像nccl-test/perftest这样的非模型数据?

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Description

按照我的理解是不是可以构建特殊的workload文件,格式如下:
MICRO model_parallel_NPU_group: 8 ep: 1 pp: 1 ga: 2048 all_gpus: 16 checkpoints: 0 checkpoint_initiates: 0
30
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100
embedding_layer -1 0 ALLREDUCE 8388608 1 NONE 0 0 NONE 0 100


以上是不是就是相当于用16卡做nclltest的all-reduce测试 通行size是8MB 迭代次数是30

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Research direction

No repository file, test, or entry point is named. Start by locating the workload-file parser and any existing MICRO workload examples, then compare this proposed configuration with the simulator's handling of nccl-test/perftest-style traffic. Done means documenting whether it represents a 16-GPU, 8 MB all-reduce with 30 iterations and explaining any required format changes.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
distributed-systems
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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