关于量化的张量流图 [英] Bug in tensorflow tuttorial about quantization

问题描述

这篇文章关注我的另一篇有关op未注册的帖子：：
NotFoundError ：Op类型未注册'Dequantize'

现在，当我尝试在此文章中手动加载：
使用量化支持安装Tensorflow

其中：

  qops = tf.load_op_library（'/ home / artem / projects / tensorflow / bazel-bin / tensorflow / contrib / quantization / _quantized_ops.so '）
 qkernelops = tf.load_op_library（'/ home / artem / projects / tensorflow / bazel-bin / tensorflow / contrib / quantization / kernels / _quantized_kernels.so'）
  
 
 
 
我收到以下错误：
  -------------------------------------------------- ----------------------- 
 NotFoundError Traceback（最近一次调用）
< ipython-input-4-799f99708cda> in< module>（）
 1 
 ----> 2 qops = tf.load_op_library（'/ home / artem / projects / tensorflow / bazel-bin / tensorflow / contrib / quantization / _quantized_ops.so'）
 3 qkernelops = tf.load_op_library（'/ home / artem / projects /tensorflow/bazel-bin/tensorflow/contrib/quantization/kernels/_quantized_kernels.so'）
 
 /usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/load_library .pyc in load_op_library（library_filename）
 69 return _OP_LIBRARY_MAP [library_filename] 
 70＃pylint：disable = protected-access 
 ---> 71 raise errors._make_specific_exception（None，None，error_msg，error_code）
 72＃pylint：enable = access-access 
 73 finally：
 
 NotFoundError：/ home / artem / projects /tensorflow/bazel-bin/tensorflow/contrib/quantization/_quantized_ops.so：undefined symbol：_ZN10tensorflow8internal21CheckOpMessageBuilder9NewStringB5cxx11Ev 
  
它看起来像是一个C ++编译器的问题，也许我应该添加 -D_GLIBCXX_USE_CXX11_ABI = 0 如这篇文章：
  https://github.com/tensorflow/tensorflow/pull/1584  
 
 
 
但实际上我做了 bazel-build ，我不知道如何管理它。 
 
 
 
任何人都可以帮助我？  https://www.tensorflow.org/versions/master/的测试示例how_tos / quantization / index.html 也不工作。 
如果有人写关于量化的详细手册将是巨大的。 
解决方案
 Tensorflow 0.10发布！我解决了这个问题后更新！ 
在脚本中添加这些代码：
 从tensorflow.contrib.quantization导入load_quantized_ops_so 
从tensorflow。 contrib.quantization.kernels import load_quantized_kernels_so 
  
和
  load_quantized_ops_so.Load（）
 load_quantized_kernels_so.Load（）
  
 
 $ b b 
感谢TF队！
 
This post follow my another post about op not registered: : 
NotFoundError: Op type not registered 'Dequantize'

And now when I try load manually as in this post: 
Install Tensorflow with Quantization Support

with:
qops = tf.load_op_library('/home/artem/projects/tensorflow/bazel-bin/tensorflow/contrib/quantization/_quantized_ops.so')
qkernelops = tf.load_op_library('/home/artem/projects/tensorflow/bazel-bin/tensorflow/contrib/quantization/kernels/_quantized_kernels.so')
I get the following error: 
---------------------------------------------------------------------------
NotFoundError                             Traceback (most recent call last)
<ipython-input-4-799f99708cda> in <module>()
      1 
----> 2 qops = tf.load_op_library('/home/artem/projects/tensorflow/bazel-bin/tensorflow/contrib/quantization/_quantized_ops.so')
      3 qkernelops = tf.load_op_library('/home/artem/projects/tensorflow/bazel-bin/tensorflow/contrib/quantization/kernels/_quantized_kernels.so')

/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/load_library.pyc in load_op_library(library_filename)
     69           return _OP_LIBRARY_MAP[library_filename]
     70       # pylint: disable=protected-access
---> 71       raise errors._make_specific_exception(None, None, error_msg, error_code)
     72       # pylint: enable=protected-access
     73   finally:

NotFoundError: /home/artem/projects/tensorflow/bazel-bin/tensorflow/contrib/quantization/_quantized_ops.so: undefined symbol: _ZN10tensorflow8internal21CheckOpMessageBuilder9NewStringB5cxx11Ev
It is look like that it is a problem with C++ compiler and probably I should add -D_GLIBCXX_USE_CXX11_ABI=0 as in this post: 
https://github.com/tensorflow/tensorflow/pull/1584

but actually I did bazel-build and I don't know how manage it. 

Anybody can help me? Test example from https://www.tensorflow.org/versions/master/how_tos/quantization/index.html also don't work. 
It will be great if someone would write detailed manual about quantization generally. 
解决方案
Tensorflow 0.10 is released! I solved this problem after updating! 
Add those code in your script: 
from tensorflow.contrib.quantization import load_quantized_ops_so
from tensorflow.contrib.quantization.kernels import load_quantized_kernels_so
and 
load_quantized_ops_so.Load()
load_quantized_kernels_so.Load()
Thanks the TF teams!

                        
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