Tensorflow量化缺少脚本/工具/文档AWS Xilinx ML Suite（f1.2xlarge）

嗨，
这些链接器可能有帮助
https://github.com/Xilinx/ml-suite/blob/master/docs/tutorials/quantize.md
https://github.com/kamranjk/ML-Development-Stack-From-Xilinx/blob/master/quantize.md
Tensorflow量化使用与caffe量化相同的quantize.pyc。
你可以在这里找到它。
https://github.com/Xilinx/ml-suite/tree/master/xfdnn/tools/quantize



以下为原文

Hi,
These linker may help.
https://github.com/Xilinx/ml-suite/blob/master/docs/tutorials/quantize.md
https://github.com/kamranjk/ML-Development-Stack-From-Xilinx/blob/master/quantize.md
Tensorflow quantize use the same quantize .pyc as caffe quantize. You can find it here.
https://github.com/Xilinx/ml-suite/tree/master/xfdnn/tools/quantize

嗨，
感谢您的快速回复，但是我尝试使用您的Google Apps tensorflow .pb模型（bvlc_googlenet_without_lrn_test.pb）进行quantze.pyc，并且要求使用caffe模块：
回溯（最近一次调用最后一次）：文件“./xfdnn/tools/quantize/quantize.py”，第43行，文件“./xfdnn/tools/quantize/quantize_caffe.py”，第29行，在ImportError：No module
命名为caffe
我正在尝试使用goooglenetv1测试从编译到量化到部署的整个周期，但量化阶段不起作用且文档不清楚，它面向caffe。
你能给出在tensorflow docker容器和googlenetv1中运行量化的简短脚本吗？
我已经尝试过使用quantize.pyc以及quantize_tf.pyc的各种选项，并且它没有接缝工作！
谢谢



以下为原文

Hi,
Thanks for the quick response, however I tried the quantize.pyc with your googlenet tensorflow .pb model (bvlc_googlenet_without_lrn_test.pb) and and its asks for a caffe module:
 
Traceback (most recent call last):
File "./xfdnn/tools/quantize/quantize.py", line 43, in
File "./xfdnn/tools/quantize/quantize_caffe.py", line 29, in
ImportError: No module named caffe
 
I am trying to test the entire cycle from compile through quantize to deployment with goooglenetv1 but the quantize phase doesn't work and the documentation is not clear, it is geared toward caffe.
Can you give the short script for running the quantize within your tensorflow docker container and googlenetv1.
I have tried all kind of options with quantize.pyc as well as quantize_tf.pyc and it doesn't seams to work!
Thanks  

嗨ap-nsg，
我的错。
请使用quantize_tf.pyc onhttps：//github.com/Xilinx/ml-suite/tree/master/xfdnn/tools/quantize。
“_tf”代表Tensorflow。
所有可用的文档都在这里：http：//github.com/Xilinx/ml-suite/tree/master/docs



以下为原文

Hi ap-nsg,
My fault. Please use quantize_tf.pyc on https://github.com/Xilinx/ml-suite/tree/master/xfdnn/tools/quantize.
"_tf" stands for Tensorflow.
All available docs is here https://github.com/Xilinx/ml-suite/tree/master/docs

嗨jishuaiz，
再次感谢您的快速回复。
但是，看起来张量流量化阶段缺少某些东西。
同样，我正在使用您的GooglenetV1示例，但使用张量流来遵循量化教程的说明：
我正在和F1联系
2.导航到tensorflow docker
3.成功启动码头工作
4.在环境中导出根
5.导航到量化目录
6.使用“bvlc_googlenet.pb”模型运行quantize_tf.pyc（请注意其.pb文件）和所有类型的参数。
python代码什么都不做。
我试过不同的论点......
BTW，如原始消息中所述，具有tensorflow的示例的编译部分是成功的。
然而量化！
。
有人可以使用GooglenetV1测试您的量化示例并发布几行脚本和说明。
再次，我试图通过所有阶段测试xfdnn直到部署tensorflow和googlenetv1示例。
谢谢



以下为原文

Hi jishuaiz,
Thanks again for your quick response. However, it looks like that something is missing for the tensorflow quantize stage.
Again, I am following the instruction on the Quantization tutorial using your GooglenetV1 example but with tensorflow:
1. I am connecting to F1
2. navigating to the tensorflow docker
3. starting the docker successfuly
4. exporting the root in the enviorment
5. navigating to the quantize directory
6. running the quantize_tf.pyc with a "bvlc_googlenet.pb" model (be aware its a .pb file) and all type of arguments.
the python code does nothing. I have tried different arguments ...
BTW, as said in the original message, The compile part of the example with tensorflow was successful. However the quantize! .
Can somebody test your quantize example with GooglenetV1 and post the few line script and instructions.
Again, I am trying to test the xfdnn through all stages up to deployment with tensorflow and googlenetv1 example.
Thanks
 
 

嗨ap-nsg
谢谢。
我会联系开发人员，稍后再回复你。



以下为原文

Hi ap-nsg
Thanks. I will contact the developer and back to you later.