AWS AMI Xilinx ML Suite tensorflow和编译器教程问题

你好，
我看过您的开发人员Webimar：几天前将AI集成到您的加速云应用程序中。
我试图重做视频中显示的张量流程示例，但似乎AWS市场中提供的最新AMI Xilinx ML Suite 18-04-02与视频中的文件不同。
例如，在tensorflow docker中，我找不到文件夹/ xlnx / xfdnn_tools / compile中的4 run_caffe _ * .sh和run_tf _ *。sh（如视频中26:22所列）。
此外，我尝试按照编译器教程但在步骤6，AMI没有.py但是他们编译的版本.pyc.I试图运行步骤6 cmd但是用.pyc替换.py，我得到一个错误
。
我没有做任何特别的事情，期望用AMI版本18.04.02创建实例，并尝试按照上面的教程。
请你仔细检查AMI，详细说明可以做什么？
谢谢你的帮助。
安东尼。



以下为原文

Hello,

I watched your Developer Webimar: Integrating AI into Your Accelerated Cloud Applications some days ago. I tried to redo the tensorflow exemple showed in the video, but it seems the latest AMI Xilinx ML Suite 18-04-02 available in the AWS marketplace does not have the same files as in the video.

For instance, inside the tensorflow docker, I can't find the 4 run_caffe_*.sh and run_tf_*.sh in the folder /xlnx/xfdnn_tools/compile (as listed at 26:22 in the video).

Also, I tried to follow the compiler tutorial but at step 6, the AMI doesn't have the .py but their compiled version .pyc. I tried to run the step 6 cmd but replacing the .py by .pyc, and I get an error.

I haven't done anything in particular, expect creating the instance with AMI version 18.04.02, and tried to follow the above tutorial.

Could you please double check the AMI, and detailed what is possible to do?

Thanks for your help.

Anthony.