300字范文 > Tensorflow安装问题: Could not find a version that satisfies the requirement tensorflow pip命令...

Tensorflow安装问题: Could not find a version that satisfies the requirement tensorflow pip命令...

时间：2018-08-25 03:29:11

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引言： Tensorflow大名鼎鼎，这里不再赘述其为何物。这里讲描述在安装python包的时候碰到的“No matching distribution found for tensorflow”，其原因以及如何解决。

简单的安装tensorflow

这里安装的tensorflow的cpu版本，gpu版本可以自行搜索安装指南，或者参考如下指令：

pip3 install tensorflow #cpu

这里使用的python 3.6.3版本。

pip3 install tensorflow-gpu

这里是gpu的版本。

window的环境

window 7.

问题描述：

pip3 install tensorflow

如此简单的指令，应该不会出错吧，结果得到如下错误信息：

Collecting tensorflow

Could not find a version that satisfies the requirement tensorflow (from versions: ) No matching distribution found for tensorflow

为什么没有找到tensorflow呢？那我们自行找找看吧？

pip3 search tensorflow

具体的输出信息如下：

…………………..

tensorbase (0.3) - Minimalistic TensorFlow

Framework

tensorbayes (0.3.0) - Deep Variational Inference in

TensorFlow

tensorflow-tensorboard (0.4.0rc3) - TensorBoard lets you watch

Tensors Flow

tensorboard_logger (0.0.4) - Log TensorBoard events without

Tensorflow

tensorboardX (0.8) - TensorBoardX lets you watch

Tensors Flow without Tensorflow

tensorbuilder (0.3.6) - A light wrapper over TensorFlow

that enables you to easily

create complex deep neural

networks using the Builder

Pattern through a functional

fluent immutable API

tensorflow-utils (0.1.0) - Classes and methods to make

using TensorFlow easier

tensorflow-transform (0.4.0) - A library for data

preprocessing with TensorFlow

tensorflow (1.5.0rc0) - TensorFlow helps the tensors

flow

tensorflow_forward_ad (0.3.3) - TensorFlow forward-mode

automatic differentiation

tensorflow_hmm (0.4.1) - Tensorflow and numpy

implementations of the HMM

viterbi and forward/backward

algorithms

tensorflow_nlp (0.0.1) - Deep Learning NLP Tasks

implemented on Tensorflow

tensorflowonspark (1.1.0) - Deep learning with TensorFlow

on Apache Spark clusters

tensorflowservingclient (0.5.1.post2) - Prebuilt tensorflow serving

client

tensorforce (0.3.4) - Reinforcement learning for

TensorFlow

tensorfunk (0.0.0) - tensorflow model converter to

create tensorflow-independent

prediction functions.

tensorfuse (0.0.1) - Common interface for Theano,

CGT, and TensorFlow

tensorgraph (3.5.8) - A high level tensorflow library

for building deep learning

models

tensorhive (0.1.1) - Lightweight computing resource

management tool for executing

distributed TensorFlow programs

tensorlm (0.3) - TensorFlow wrapper for deep

neural text generation on

character or word level with

RNNs / LSTMs

TensorMol (0.1) - TensorFlow+Molecules =

TensorMol

tensorpack (0.8.0) - Neural Network Toolbox on

TensorFlow

tensorpy (1.1.0) - Easy Image Classification with

TensorFlow!

tensorrec (0.1) - A TensorFlow recommendation

algorithm and framework in

Python.

tensorspark (1.0.6) - Tensorflow on Spark, a scalable

system for high-performance

machine learning

tensorvision (0.1.dev1) - A library to build and train

neural networks in with

TensorFlow for Computer Vision

TFANN (1.0.1) - A neural network module

containing implementations of

MLP, and CNN networks in

TensorFlow.

TFBOYS (0.0.1) - TensorFlow BOYS

tfcf (0.0.0) - A tensorflow-based recommender

system.

tfcoreml (0.1.0) - Tensorflow to Core ML converter

tfdebugger (0.1.1) - TensorFlow Debugger

tfdeploy (0.4.2) - Deploy tensorflow graphs for

fast evaluation and export to

tensorflow-less environments

running numpy.

tfgraph (0.2) - Python’s Tensorflow Graph

Library

tfgraphviz (0.0.6) - A visualization tool to show a

graph like TensorFlow and

TensorBoard

…………………………………………

悲伤的我如此难以自抑，明明可以找到的，怎么却无法安装嗯？我需要自行好好找找明明是谁？：-）

问题分析

二话不说，直接上官网上查查看，虽然官网离我朝远隔万里，需要跋山涉水之后方可达到。翻过拿到看不见的墙之后，重要可以看到官方信息了。

官方路标如下： /install/install_windows

其中所提安装步骤非常简洁，如此简洁的步骤，怎么可能出错？于是重新梳理了一下，难道是Python或者pip3本身的问题吗？

check pip3

pip –version

发现其为最新版本：

pip 9.0.1 from d:\program files (x86)\python\lib\site-packages (python 3.6)

那Python呢？官方文档中提到如下：

If one of the following versions of Python is not installed on your machine, install it now:

* Python 3.5.x 64-bit from

* Python 3.6.x 64-bit from

难道我安装的python是假python不成？估计有可能吧，难道是64bit的问题？

检查python的版本

python -v

得到了python的完整信息：

..........................................

> D:\Program Files (x86)\python\lib\__pycache__\sysconfig.cpython-36.pyc matches D:\Program Files (x86)\python\lib\sysconfig.py

> code object from 'D:\\Program Files (x86)\\python\\lib\\__pycache__\\sysconfig.cpython-36.pyc'

import 'sysconfig' # <_frozen_importlib_external.SourceFileLoader object at 0x006A1230>

> D:\Program Files (x86)\python\lib\__pycache__\_bootlocale.cpython-36.pyc matches D:\Program Files (x86)\python\lib\_bootlocale.py

> code object from 'D:\\Program Files (x86)\\python\\lib\\__pycache__\\_bootlocale.cpython-36.pyc'

import '_locale' # <class '_frozen_importlib.BuiltinImporter'>

import '_bootlocale' # <_frozen_importlib_external.SourceFileLoader object at 0x007911D0>

> D:\Program Files (x86)\python\lib\encodings\__pycache__\gbk.cpython-36.pyc matches D:\Program Files (x86)\python\lib\encodings\gbk.py

> code object from 'D:\\Program Files (x86)\\python\\lib\\encodings\\__pycache__\\gbk.cpython-36.pyc'

import '_codecs_cn' # <class '_frozen_importlib.BuiltinImporter'>

import '_multibytecodec' # <class '_frozen_importlib.BuiltinImporter'>

import 'encodings.gbk' # <_frozen_importlib_external.SourceFileLoader object at 0x00791490>

import 'site' # <_frozen_importlib_external.SourceFileLoader object at 0x004F73D0>

Python 3.6.3 (v3.6.3:2c5fed8, Oct 3 , 17:26:49) [MSC v.1900 32 bit (Intel)] on win32

Type "help", "copyright", "credits" or "license" for more information.

import 'atexit' # <class '_frozen_importlib.BuiltinImporter'>

其中关于python的关键信息：

Python 3.6.3 (v3.6.3:2c5fed8, Oct 3 , 17:26:49) [MSC v.1900 32 bit (Intel)] on win32

“32bit” !!! 一口老血喷出，众里寻他千百度，蓦然回首bug正在这灯火阑珊处。原来是python版本的问题导致的。

修复问题

重新下载一个64bit的python版本，之后重新操作就可以了。

python -v

查看其中的关键信息：

Python 3.6.4 (v3.6.4:d48eceb, Dec 19 , 06:54:40) [MSC v.1900 64 bit (AMD64)] on win32

确认是64位，没有问题。

然后直接安装tensorflow:

pip3 install tensorflow

安装过程如下：

C:\windows\system32>pip3 install tensorflow

Collecting tensorflow

Downloading tensorflow-1.4.0-cp36-cp36m-win_amd64.whl (28.3MB)

100% |████████████████████████████████| 28.3MB 39kB/s

Collecting enum34>=1.1.6 (from tensorflow)

Downloading enum34-1.1.6-py3-none-any.whl

Requirement already satisfied: wheel>=0.26 in d:\program files (x86)\python\lib\site-packages (from tensorflow)

Collecting protobuf>=3.3.0 (from tensorflow)

Downloading protobuf-3.5.1-py2.py3-none-any.whl (388kB)

100% |████████████████████████████████| 389kB 593kB/s

Collecting tensorflow-tensorboard<0.5.0,>=0.4.0rc1 (from tensorflow)

Downloading tensorflow_tensorboard-0.4.0rc3-py3-none-any.whl (1.7MB)

100% |████████████████████████████████| 1.7MB 182kB/s

Requirement already satisfied: six>=1.10.0 in d:\program files (x86)\python\lib\site-packages (from tensorflow)

Collecting numpy>=1.12.1 (from tensorflow)

Downloading numpy-1.13.3-cp36-none-win_amd64.whl (13.1MB)

100% |████████████████████████████████| 13.1MB 81kB/s

Requirement already satisfied: setuptools in d:\program files (x86)\python\lib\site-packages (from protobuf>=3.3.0->tensorflow)

Collecting html5lib==0.9999999 (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->tensorflow)

Downloading html5lib-0.9999999.tar.gz (889kB)

100% |████████████████████████████████| 890kB 504kB/s

Collecting bleach==1.5.0 (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->tensorflow)

Downloading bleach-1.5.0-py2.py3-none-any.whl

Requirement already satisfied: werkzeug>=0.11.10 in d:\program files (x86)\python\lib\site-packages (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->tensorflow)

Collecting markdown>=2.6.8 (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->tensorflow)

Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)

100% |████████████████████████████████| 81kB 583kB/s

Building wheels for collected packages: html5lib

Running setup.py bdist_wheel for html5lib ... done

Stored in directory: C:\Users\chenjunfeng1\AppData\Local\pip\Cache\wheels\6f\85\6c\56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962

Successfully built html5lib

Installing collected packages: enum34, protobuf, html5lib, numpy, bleach, markdown, tensorflow-tensorboard, tensorflow

Successfully installed bleach-1.5.0 enum34-1.1.6 html5lib-0.9999999 markdown-2.6.11 numpy-1.13.3 protobuf-3.5.1 tensorflow-1.4.0 tensorflow-tensorboard-0.4.0rc3