add distributed sync training api guide #372
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typhoonzero
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luotao1
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Nov 27, 2018
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| Fluid支持数据并行的分布式同步训练，API使用 :code:`DistributedTranspiler` 将单机网络配置转换成可以多机执行的 | ||
| :code:`pserver` 端程序和 :code:`trainer` 端程序，用户在不同的节点执行相同的一段代码，根据环境变量或启动参数， |
| - :code:`pservers` ： 当前训练任务中pserver节点的IP端口列表 | ||
| - :code:`trainers` ： 当前训练任务中trainer节点的个数（注意NCCL2模式中，此项参数是字符串，指定trainer节点的IP端口列表）， | ||
| 注意，在pserver模式下，trainer节点个数可以和pserver节点个数不一致，比如使用20个pserver和50个trainer。在实际训练任务 | ||
| 中，您可以通过调整pserver节点和trainer节点个数找到最佳性能。 |
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这里trainers中，讲述nccl2模式的，是否应该放到85行中介绍。
shanyi15
reviewed
Nov 27, 2018
doc/fluid/api/api_guides/index.rst
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| low_level/metrics.rst | ||
| low_level/model_save_reader.rst | ||
| low_level/inference.rst | ||
| low_level/distributed/index.rst |
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为避免多人同时修改这个文件造成conflict，请先取消对index文件的修改
| .. toctree:: | ||
| :maxdepth: 1 | ||
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| sync_training.rst No newline at end of file |
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为避免多人同时修改这个文件造成conflict，请先取消对index文件的修改
| - :code:`pservers` ： 当前训练任务中pserver节点的IP端口列表 | ||
| - :code:`trainers` ： 当前训练任务中trainer节点的个数（注意NCCL2模式中，此项参数是字符串，指定trainer节点的IP端口列表）， | ||
| 注意，在pserver模式下，trainer节点个数可以和pserver节点个数不一致，比如使用20个pserver和50个trainer。在实际训练任务 | ||
| 中，您可以通过调整pserver节点和trainer节点个数找到最佳性能。 |
| 但需要使用大量节点的场景，有利于提升pserver端计算并行度 | ||
| - :code:`split_method` ： 配置transpiler分配参数（或参数的切片）到多个pserver的方式， | ||
| 默认为"RoundRobin"，也可以使用"HashName" | ||
| - :code:`min_block_size` ： 如果配置了参数切分，指定最小Tensor的切分大小，防止RPC请求包过小，默认为8192，一般情况 |
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Review has been finished, please have a look, thanks |
luotao1
reviewed
Nov 30, 2018
| - :code:`trainer_id` ： trainer节点的id，从0到n-1，n为当前训练任务中trainer节点的个数 | ||
| - :code:`program` ： 被转换的 :code:`program` 默认使用 :code:`fluid.default_main_program()` | ||
| - :code:`pservers` ： 当前训练任务中pserver节点的IP端口列表 | ||
| - :code:`trainers` ： int类型，当前训练任务中trainer节点的个数（NCCL2模式中，此项参数是字符串，指定trainer节点的IP端口列表），注意，在pserver模式下，trainer节点个数可以和pserver节点个数不一致，比如使用20个pserver和50个trainer。在实际训练任务中，您可以通过调整pserver节点和trainer节点个数找到最佳性能。 |
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Fix #292