From 24c80aa8dabeef2efd7b3dcf84b0fba04742de37 Mon Sep 17 00:00:00 2001 From: chengduo <30176695+chengduoZH@users.noreply.github.com> Date: Wed, 25 Sep 2019 14:19:43 +0800 Subject: [PATCH] polish DyGraph.md doc (#1349) --- doc/fluid/user_guides/howto/dygraph/DyGraph.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/fluid/user_guides/howto/dygraph/DyGraph.md b/doc/fluid/user_guides/howto/dygraph/DyGraph.md index f3bc247c1..31395e0fa 100644 --- a/doc/fluid/user_guides/howto/dygraph/DyGraph.md +++ b/doc/fluid/user_guides/howto/dygraph/DyGraph.md @@ -436,7 +436,7 @@ Dygraph将非常适合和Numpy一起使用，使用`fluid.dygraph.to_variable(x) if batch_id % 100 == 0 and batch_id is not 0: print("epoch: {}, batch_id: {}, loss is: {}".format(epoch, batch_id, avg_loss.numpy())) -修改的地方主要有三处： +动态图单卡训练转多卡训练需要修改的地方主要有四处： 1. 需要从环境变量获取设备的ID，即： place = fluid.CUDAPlace(fluid.dygraph.parallel.Env().dev_id) @@ -481,7 +481,7 @@ Paddle动态图多进程多卡模型训练启动时需要指定使用的GPU， trainers_endpoints: 127.0.0.1:6170,127.0.0.1:6171,127.0.0.1:6172,127.0.0.1:6173 , node_id: 0 , current_node_ip: 127.0.0.1 , num_nodes: 1 , node_ips: ['127.0.0.1'] , nranks: 4 -此时，程序会将每个进程的输出log导入到./mylog路径下： +此时，程序会将每个进程的输出log导出到./mylog路径下： . ├── mylog -- GitLab