Reimplement paddle.utils.install_check.

[Xreki]

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Describe

• 按照fluid.install_check.install_check()的实现逻辑，重新实现了paddle.utils.run_check。当前install_check()是分别通过Executor和ParallelExecutor执行一个简单网络，来判断Paddle是否可用。该函数在2.0需要修改，但具体怎么修改还没有决策，因此当前只更新一下文档和示例代码。

  • 尝试在paddle/utils/__init__.py里面加fluid.install_check.run_check的alias，加入之后会引入循环依赖，出现No module named 'paddle.utils'的错误。

• 原输出：

>>> paddle.fluid.install_check.run_check()
Running Verify Fluid Program ...
W1008 12:53:36.805395  8560 device_context.cc:338] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 11.0, Runtime API Version: 10.1
W1008 12:53:36.815687  8560 device_context.cc:346] device: 0, cuDNN Version: 7.6.
Your Paddle Fluid works well on SINGLE GPU or CPU.
W1008 12:55:08.462054  8560 fuse_all_reduce_op_pass.cc:75] Find all_reduce operators: 2. To make the speed faster, some all_reduce ops are fused during training, after fusion, the number of all_reduce ops is 1.
Your Paddle Fluid works well on MUTIPLE GPU or CPU.
Your Paddle Fluid is installed successfully! Let's start deep Learning with Paddle Fluid now

• 现输出

>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
W1010 07:21:14.972093  8321 device_context.cc:338] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 11.0, Runtime API Version: 10.1
W1010 07:21:14.979770  8321 device_context.cc:346] device: 0, cuDNN Version: 7.6.
PaddlePaddle works well on 1 GPU.
W1010 07:21:48.234915  8321 fuse_all_reduce_op_pass.cc:75] Find all_reduce operators: 2. To make the speed faster, some all_reduce ops are fused during training, after fusion, the number of all_reduce ops is 1.
PaddlePaddle works well on 8 GPUs.
PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.

• 文档预览效果：
  

[paddle-bot-old]

Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

[TCChenlong]

LGTM