未验证 提交 da7f9585 编写于 作者: J jerrywgz 提交者: GitHub

refine PE doc for Windows users (#2254)

上级 61591558
......@@ -104,6 +104,7 @@ After data preparation, one can start the training step by:
- Set ```export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7``` to specifiy 8 GPU to train.
- Set ```MASK_ON``` to choose Faster RCNN or Mask RCNN model.
- Set ```parallel``` to False to replace [fluid.ParallelExecutor](http://paddlepaddle.org/documentation/docs/zh/1.4/api_cn/fluid_cn.html#parallelexecutor) to [fluid.Executor](http://paddlepaddle.org/documentation/docs/zh/1.4/api_cn/fluid_cn.html#executor) when running the program in the Windows & GPU environment.
- For more help on arguments:
python train.py --help
......
......@@ -105,6 +105,7 @@ data/coco/
- 通过设置export CUDA\_VISIBLE\_DEVICES=0,1,2,3,4,5,6,7指定8卡GPU训练。
- 通过设置```MASK_ON```选择Faster RCNN和Mask RCNN模型。
- 使用Windows GPU环境的用户,需要设置```parallel```为False,将[fluid.ParallelExecutor](http://paddlepaddle.org/documentation/docs/zh/1.4/api_cn/fluid_cn.html#parallelexecutor)替换为[fluid.Executor](http://paddlepaddle.org/documentation/docs/zh/1.4/api_cn/fluid_cn.html#executor)。
- 可选参数见:
python train.py --help
......
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