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2018-04-07 修改OpenEN，修改TF警告⚠️

2018-04-07  本文已影响45人  啊哈JC熙

1. 修改 OpenEN

主要问题：

（1）import 本地编写的py文件在路径上有问题

还有要注意工程之间的链接和应用

一般都是相对路径，哦！

from libnrl.gcn.utils import *

（2）python版本修改

由于OpenEN是python2的，今天将open修改为pyrhon3.6版本

其中修改主要是print语句

for i in range(20):
    print('Iteration ', i)

Iteration  0
Iteration  1
Iteration  2
Iteration  3
Iteration  4
Iteration  5
Iteration  6
Iteration  7
Iteration  8
Iteration  9
Iteration  10
Iteration  11
Iteration  12
Iteration  13
Iteration  14
Iteration  15
Iteration  16
Iteration  17
Iteration  18
Iteration  19

把print('Iteration ', i)改为print 'Iteration ', i 就把python从2.7 改为了python3.6

对于这个问题我只能2333333

一开始打开这个开源项目，吓了我一跳，怎么不能运行，一看报print，2333333

（3）安装gensim

from gensim.models import Word2Vecå

一开始还pip了半 天的Word2Vec，2333333

lijuncheng@lijunchengdeMacBook-Pro ~ $ pip install Word2Vec
Requirement already satisfied: Word2Vec in ./anaconda3/lib/python3.6/site-packages
Requirement already satisfied: numpy in ./anaconda3/lib/python3.6/site-packages (from Word2Vec)
Requirement already satisfied: cython in ./anaconda3/lib/python3.6/site-packages (from Word2Vec)
lijuncheng@lijunchengdeMacBook-Pro ~ $ python
Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct  6 2017, 12:04:38)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import Word2Vec
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'Word2Vec'
>>> import Word2Vec
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'Word2Vec'
>>> quit()
lijuncheng@lijunchengdeMacBook-Pro ~ $ pip install gensim
Collecting gensim
  Downloading gensim-3.4.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (22.8MB)
    100% |████████████████████████████████| 22.8MB 61kB/s
Requirement already satisfied: numpy>=1.11.3 in ./anaconda3/lib/python3.6/site-packages (from gensim)
Collecting smart-open>=1.2.1 (from gensim)
  Downloading smart_open-1.5.7.tar.gz
Requirement already satisfied: scipy>=0.18.1 in ./anaconda3/lib/python3.6/site-packages (from gensim)
Requirement already satisfied: six>=1.5.0 in ./anaconda3/lib/python3.6/site-packages (from gensim)
Requirement already satisfied: boto>=2.32 in ./anaconda3/lib/python3.6/site-packages (from smart-open>=1.2.1->gensim)
Collecting bz2file (from smart-open>=1.2.1->gensim)
  Downloading bz2file-0.98.tar.gz
Requirement already satisfied: requests in ./anaconda3/lib/python3.6/site-packages (from smart-open>=1.2.1->gensim)
Collecting boto3 (from smart-open>=1.2.1->gensim)
  Downloading boto3-1.7.2-py2.py3-none-any.whl (128kB)
    100% |████████████████████████████████| 133kB 496kB/s
Requirement already satisfied: chardet<3.1.0,>=3.0.2 in ./anaconda3/lib/python3.6/site-packages (from requests->smart-open>=1.2.1->gensim)
Requirement already satisfied: idna<2.7,>=2.5 in ./anaconda3/lib/python3.6/site-packages (from requests->smart-open>=1.2.1->gensim)
Requirement already satisfied: urllib3<1.23,>=1.21.1 in ./anaconda3/lib/python3.6/site-packages (from requests->smart-open>=1.2.1->gensim)
Requirement already satisfied: certifi>=2017.4.17 in ./anaconda3/lib/python3.6/site-packages (from requests->smart-open>=1.2.1->gensim)
Collecting s3transfer<0.2.0,>=0.1.10 (from boto3->smart-open>=1.2.1->gensim)
  Downloading s3transfer-0.1.13-py2.py3-none-any.whl (59kB)
    100% |████████████████████████████████| 61kB 444kB/s
Collecting jmespath<1.0.0,>=0.7.1 (from boto3->smart-open>=1.2.1->gensim)
  Downloading jmespath-0.9.3-py2.py3-none-any.whl
Collecting botocore<1.11.0,>=1.10.2 (from boto3->smart-open>=1.2.1->gensim)
  Downloading botocore-1.10.2-py2.py3-none-any.whl (4.2MB)
    100% |████████████████████████████████| 4.2MB 271kB/s
Requirement already satisfied: python-dateutil<2.7.0,>=2.1 in ./anaconda3/lib/python3.6/site-packages (from botocore<1.11.0,>=1.10.2->boto3->smart-open>=1.2.1->gensim)
Requirement already satisfied: docutils>=0.10 in ./anaconda3/lib/python3.6/site-packages (from botocore<1.11.0,>=1.10.2->boto3->smart-open>=1.2.1->gensim)
Building wheels for collected packages: smart-open, bz2file
  Running setup.py bdist_wheel for smart-open ... done
  Stored in directory: /Users/lijuncheng/Library/Caches/pip/wheels/cf/54/36/b003d8c2d26aadffc21f0677009ed53cf9575a97fc71fbba76
  Running setup.py bdist_wheel for bz2file ... done
  Stored in directory: /Users/lijuncheng/Library/Caches/pip/wheels/31/9c/20/996d65ca104cbca940b1b053299b68459391c01c774d073126
Successfully built smart-open bz2file
Installing collected packages: bz2file, jmespath, botocore, s3transfer, boto3, smart-open, gensim
Successfully installed boto3-1.7.2 botocore-1.10.2 bz2file-0.98 gensim-3.4.0 jmespath-0.9.3 s3transfer-0.1.13 smart-open-1.5.7

(4)测试运行

python src/main.py --method node2vec --label-file data/blogCatalog/bc_labels.txt --input data/blogCatalog/bc_adjlist.txt --graph-format adjlist --output vec_all.txt --q 0.25 --p 0.25


python src/main.py --method gcn --label-file data/cora/cora_labels.txt --input data/cora/cora_edgelist.txt --graph-format edgelist --feature-file data/cora/cora.features  --epochs 200 --output vec_all.txt --clf-ratio 0.1

2.修改TF警告

警告⚠️：

2018-04-07 17:54:07.725382: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-07 17:54:07.725402: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-07 17:54:07.725407: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-04-07 17:54:07.725412: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-07 17:54:07.725417: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.

警告原因好像是由于：什么指令集不对怎么样
TensorFlow CPU环境 SSE/AVX/FMA 指令集编译
在StackOverflow上找到相关解释：https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions

解决：添加两行代码

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

效果


接下来还有继续跟进对NE的学习，加油。距离月底还有22天，希望尽快形成有小论文的想法。加油⛽️，加油⛽️，加油⛽️....

宝宝明天要上班啦，希望宝宝每天都开心，快乐。少生点气，其实生活很美好😂😂😊

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