[Sharding]: update config DOC #32299
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TCChenlong
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Apr 17, 2021
| This configuration will affect the communication speed in sharding training, | ||
| and should be an empirical value decided by your model size and network topology. | ||
| sharding_segment_strategy(string): strategy used to segment the program(forward & backward operations). two strategise are | ||
| available: "segment_broadcast_MB" and "segment_anchors". segment is a concept used in sharding to overlap computation and |
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segment_broadcast_MB 和 segment_anchors 的概念需要介绍一下吧？
| segment_broadcast_MB(float): segment by the parameters broadcast volume. sharding will introduce parameter broadcast operations into program, and | ||
| after every segment_broadcast_MB size parameter being broadcasted, the program will be cutted into one segment. | ||
| This configuration will affect the communication speed in sharding training, and should be an empirical value decided by your model size and network topology. | ||
| Only enable sharding_segment_strategy = segment_broadcast_MB. when Default is 32.0 . |
| segment_anchors(list): list of anchors used to segment the program, which allows a finner control of program segmentation. | ||
| this strategy is experimental by now. Only enable sharding_segment_strategy = segment_anchors. | ||
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| sharding_degree(int): specific the number of gpus within each sharding parallelism group; and sharding will be turn off if sharding_degree=1. Default is 8. |
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sharding_degree(int) -> sharding_degree(int, optional) 下同
| segment_anchors(list): list of anchors used to segment the program, which allows a finner control of program segmentation. | ||
| this strategy is experimental by now. Only enable sharding_segment_strategy = segment_anchors. | ||
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| sharding_degree(int): specific the number of gpus within each sharding parallelism group; and sharding will be turn off if sharding_degree=1. Default is 8. |
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sharding_degree(int) -> sharding_degree(int, optional)
| @@ -845,7 +869,7 @@ def pipeline_configs(self): | |||
| **Notes**: | |||
| **Detailed arguments for pipeline_configs** | |||
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| **micro_batch**: the number of small batches in each user defined batch | |||
| **micro_batch_size**: the number of small batches in each user defined batch | |||
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还有一点需要注意，文档中不要出现用户作为主语的情况，一般省略主语即可 |
updated~ |
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