提交 ae29e8bd 编写于 作者: C chenguoyan01

fix ports_num_for_sparse defaut value in cluster_train doc

上级 3ff53e06
......@@ -51,7 +51,7 @@ $ stdbuf -oL /usr/bin/nohup paddle pserver --port=7164 --ports_num=1 --ports_num
- port:**必选,默认7164**,pserver监听的起始端口,根据ports_num决定总端口个数,从起始端口监听多个端口用于通信
- ports_num:**必选,默认1**,监听的端口个数
- ports_num_for_sparse:**必选,默认1**,用于稀疏类型参数通信的端口个数
- ports_num_for_sparse:**必选,默认0**,用于稀疏类型参数通信的端口个数
- num_gradient_servers:**必选,默认1**,当前训练任务pserver总数
### 启动计算节点
......@@ -95,7 +95,7 @@ paddle.init(
- trainer_count:**必选,默认1**,当前训练任务trainer总个数
- port:**必选,默认7164**,连接到pserver的端口
- ports_num:**必选,默认1**,连接到pserver的端口个数
- ports_num_for_sparse:**必选,默认1**,和pserver之间用于稀疏类型参数通信的端口个数
- ports_num_for_sparse:**必选,默认0**,和pserver之间用于稀疏类型参数通信的端口个数
- num_gradient_servers:**必选,默认1**,当前训练任务pserver总数
- trainer_id:**必选,默认0**,每个trainer的唯一ID,从0开始的整数
- pservers:**必选,默认127.0.0.1**,当前训练任务启动的pserver的IP列表,多个IP使用“,”隔开
......
......@@ -52,7 +52,7 @@ Parameter Description
- port: **required, default 7164**, port which parameter server will listen on. If ports_num greater than 1, parameter server will listen on multiple ports for more network throughput.
- ports_num: **required, default 1**, total number of ports will listen on.
- ports_num_for_sparse: **required, default 1**, number of ports which serves sparse parameter update.
- ports_num_for_sparse: **required, default 0**, number of ports which serves sparse parameter update.
- num_gradient_servers: **required, default 1**, total number of gradient servers.
### Starting trainer
......@@ -98,7 +98,7 @@ Parameter Description
- trainer_count: **required, default 1**, total count of trainers in the training job.
- port: **required, default 7164**, port to connect to parameter server.
- ports_num: **required, default 1**, number of ports for communication.
- ports_num_for_sparse: **required, default 1**, number of ports for sparse type caculation.
- ports_num_for_sparse: **required, default 0**, number of ports for sparse type caculation.
- num_gradient_servers: **required, default 1**, total number of gradient server.
- trainer_id: **required, default 0**, ID for every trainer, start from 0.
- pservers: **required, default 127.0.0.1**, list of IPs of parameter servers, separated by ",".
......
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