【Anaconda3】【tensorflow-gpu】anaconda3下安裝tensorflow-gpu

操作系統(tǒng):Centos7

1. 安裝Anaconda3

安裝完后新開一個bash

2. 安裝tensorflow-gpu
我這里需要安裝指定版本的tensorflow-gpu版本(tensorflow-gpu 1.4.1)

  • 執(zhí)行以下命令查看當(dāng)前所有tensorflow-gpu版本:
[root@localhost tf-openpose]# anaconda search -t conda tensorflow-gpu
Using Anaconda API: https://api.anaconda.org
Packages:
     Name                      |  Version | Package Types   | Platforms       | Builds    
     ------------------------- |   ------ | --------------- | --------------- | ----------
     aaronzs/tensorflow-gpu    |    1.6.0 | conda           | linux-64, win-64 | py35h8ac8084_0, py36_1, py36_0, py36hbec5d8f_0, py36h7b11560_0, py35h14e71af_0, py35_0, py35_1
                                          : TensorFlow helps the tensors flow
     anaconda/tensorflow-gpu   |    1.4.1 | conda           | linux-ppc64le, linux-64, win-64 | py36_4, np111py27_0, py35cuda8.0cudnn6.0_0, py27_4, py35cuda7.5cudnn6.0_0, 0, py35cuda8.0cudnn5.1_0, py36cuda7.5cudnn5.1_0, py27cuda7.5cudnn5.1_0, py27cuda7.5cudnn6.0_0, np112py35_0, np112py27_0, py27cuda8.0cudnn5.1_0, np111py35_0, py27cuda8.0cudnn6.0_0, py36cuda7.5cudnn6.0_0, np112py36_0, np111py36_0, py36cuda8.0cudnn5.1_0, py36cuda8.0cudnn6.0_0, py35_4, py35cuda7.5cudnn5.1_0
                                          : TensorFlow is a machine learning library.
     anaconda/tensorflow-gpu-base |    1.4.1 | conda           | linux-64        | py27cuda8.0cudnn6.0_1, py27cuda8.0cudnn6.0_0, py27ha7e2fe3_0, py27h01caf0a_0, py36h01caf0a_0, py35h01caf0a_0, py35cuda8.0cudnn6.0_1, py36ha7e2fe3_0, py36cuda8.0cudnn6.0_1, py35cuda8.0cudnn6.0_0, py36cuda8.0cudnn6.0_0, py35ha7e2fe3_0
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     cjj3779/tensorflow-gpu    |    1.4.0 | conda           | linux-64, win-64 | py35hc6fb95a_0, py35h14e71af_0, py36hbec5d8f_0, py36h6bf4e57_0
                                          : TensorFlow helps the tensors flow
     engility/tensorflow-gpu-base |    1.4.1 | conda           | linux-64        | py36h77f5d31_2, py27h77f5d31_1, py36h77f5d31_1
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     jjh_cio_testing/tensorflow-gpu |          | conda           | linux-64        | py35cuda7.5cudnn5.1_0, py36_0, py36_3, py36_2, py36_4, py36cuda7.5cudnn5.1_0, py35cuda8.0cudnn6.0_0, py27cuda8.0cudnn5.1_0, py27_4, py27_3, py27_2, py27_1, py27_0, py35cuda7.5cudnn6.0_0, np113py35_0, 0, py35cuda8.0cudnn5.1_0, py36cuda8.0cudnn5.1_0, np111py27_0, py27cuda7.5cudnn5.1_0, py27cuda7.5cudnn6.0_0, np112py35_0, np112py27_0, np113py36_0, np111py35_0, py27cuda8.0cudnn6.0_0, py36cuda7.5cudnn6.0_0, np112py36_0, np111py36_0, np113py27_0, py36cuda8.0cudnn6.0_0, py35_4, py35_2, py35_3, py35_0
                                          : TensorFlow is a machine learning library.
     jjh_cio_testing/tensorflow-gpu-base |    1.5.0 | conda           | linux-64        | py27cuda8.0cudnn6.0_1, py27cuda8.0cudnn6.0_0, py27ha7e2fe3_0, py35ha7e2fe3_0, py36cuda8.0cudnn6.0_1, py35h01caf0a_0, py35cuda8.0cudnn6.0_1, py36ha7e2fe3_0, py36h77f5d31_0, py35cuda8.0cudnn6.0_0, py36cuda8.0cudnn6.0_0, py27h01caf0a_0, py36h01caf0a_0
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     jjh_cio_testing/tensorflow-gpu-broadwell-base |          | conda           | linux-64        | py27hc5f3c7c_1, py36hc5f3c7c_1
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     jjh_cio_testing/tensorflow-gpu-haswell-base |          | conda           | linux-64        | py36h9b5fe53_1, py27h9b5fe53_1
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     jjh_cio_testing/tensorflow-gpu-ivybridge-base |          | conda           | linux-64        | py36h41896c3_1, py27h41896c3_1
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     jjh_cio_testing/tensorflow-gpu-sandybridge-base |          | conda           | linux-64        | py36h5bae7ea_1, py27h5bae7ea_1
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     jjh_ppc64le/tensorflow-gpu |    1.2.1 | conda           | linux-ppc64le   | py27cuda8.0cudnn6.0_0, np112py36_0, np112py35_0, py35cuda8.0cudnn6.0_0, py36cuda8.0cudnn6.0_0, np112py27_0
                                          : TensorFlow is a machine learning library
     jjhelmus/tensorflow-gpu   |    1.0.1 | conda           | linux-64        | np112py35_5, np112py36_5, py27_2, np112py27_5
                                          : TensorFlow is a machine learning library.
     jjhelmus/tensorflow-gpu-base |    1.3.0 | conda           | linux-64        | py27cuda8.0cudnn6.0_1, py35cuda8.0cudnn6.0_1
                                          : TensorFlow is a machine learning library, base GPU package, tensorflow only.
     marta-sd/tensorflow-gpu   |    1.2.0 | conda           | linux-64        | py27_1, py36h1323ef4_2, py36_1, py27_0, py35hddb9974_2, py27h4f63904_2, py35_0, py35_1
     nehaljwani/tensorflow-gpu |    1.1.0 | conda           | win-64          | np112py36_0, np112py35_0
                                          : TensorFlow is a machine learning library
Found 16 packages

Run 'anaconda show <USER/PACKAGE>' to get installation details
  • 選擇源anaconda/tensorflow-gpu并安裝指定版本1.4.1
    1)可以執(zhí)行以下命令查看該源的安裝信息:
[root@localhost tf-openpose]# anaconda show anaconda/tensorflow-gpu
Using Anaconda API: https://api.anaconda.org
Name:    tensorflow-gpu
Summary: TensorFlow is a machine learning library.
Access:  public
Package Types:  conda
Versions:
   + 1.0.1
   + 1.1.0
   + 1.2.1
   + 1.3.0
   + 1.4.1

To install this package with conda run:
     conda install --channel https://conda.anaconda.org/anaconda tensorflow-gpu

2)執(zhí)行以下命令安裝tensorflow-gpu 1.4.1版本

[root@localhost tf-openpose]# conda install --channel https://conda.anaconda.org/anaconda tensorflow-gpu=1.4.1

3. 安裝opencv3

conda install -c menpo opencv3
最后編輯于
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請聯(lián)系作者
  • 序言:七十年代末旁钧,一起剝皮案震驚了整個濱河市,隨后出現(xiàn)的幾起案子,更是在濱河造成了極大的恐慌文判,老刑警劉巖浴捆,帶你破解...
    沈念sama閱讀 222,183評論 6 516
  • 序言:濱河連續(xù)發(fā)生了三起死亡事件捉偏,死亡現(xiàn)場離奇詭異鸦做,居然都是意外死亡出革,警方通過查閱死者的電腦和手機(jī)叠萍,發(fā)現(xiàn)死者居然都...
    沈念sama閱讀 94,850評論 3 399
  • 文/潘曉璐 我一進(jìn)店門芝发,熙熙樓的掌柜王于貴愁眉苦臉地迎上來,“玉大人苛谷,你說我怎么就攤上這事辅鲸。” “怎么了腹殿?”我有些...
    開封第一講書人閱讀 168,766評論 0 361
  • 文/不壞的土叔 我叫張陵独悴,是天一觀的道長。 經(jīng)常有香客問我锣尉,道長刻炒,這世上最難降的妖魔是什么? 我笑而不...
    開封第一講書人閱讀 59,854評論 1 299
  • 正文 為了忘掉前任自沧,我火速辦了婚禮坟奥,結(jié)果婚禮上,老公的妹妹穿的比我還像新娘拇厢。我一直安慰自己爱谁,他們只是感情好,可當(dāng)我...
    茶點(diǎn)故事閱讀 68,871評論 6 398
  • 文/花漫 我一把揭開白布孝偎。 她就那樣靜靜地躺著访敌,像睡著了一般。 火紅的嫁衣襯著肌膚如雪邪媳。 梳的紋絲不亂的頭發(fā)上捐顷,一...
    開封第一講書人閱讀 52,457評論 1 311
  • 那天,我揣著相機(jī)與錄音雨效,去河邊找鬼迅涮。 笑死,一個胖子當(dāng)著我的面吹牛徽龟,可吹牛的內(nèi)容都是我干的叮姑。 我是一名探鬼主播,決...
    沈念sama閱讀 40,999評論 3 422
  • 文/蒼蘭香墨 我猛地睜開眼,長吁一口氣:“原來是場噩夢啊……” “哼传透!你這毒婦竟也來了耘沼?” 一聲冷哼從身側(cè)響起,我...
    開封第一講書人閱讀 39,914評論 0 277
  • 序言:老撾萬榮一對情侶失蹤朱盐,失蹤者是張志新(化名)和其女友劉穎群嗤,沒想到半個月后,有當(dāng)?shù)厝嗽跇淞掷锇l(fā)現(xiàn)了一具尸體兵琳,經(jīng)...
    沈念sama閱讀 46,465評論 1 319
  • 正文 獨(dú)居荒郊野嶺守林人離奇死亡狂秘,尸身上長有42處帶血的膿包…… 初始之章·張勛 以下內(nèi)容為張勛視角 年9月15日...
    茶點(diǎn)故事閱讀 38,543評論 3 342
  • 正文 我和宋清朗相戀三年,在試婚紗的時(shí)候發(fā)現(xiàn)自己被綠了躯肌。 大學(xué)時(shí)的朋友給我發(fā)了我未婚夫和他白月光在一起吃飯的照片者春。...
    茶點(diǎn)故事閱讀 40,675評論 1 353
  • 序言:一個原本活蹦亂跳的男人離奇死亡,死狀恐怖清女,靈堂內(nèi)的尸體忽然破棺而出钱烟,到底是詐尸還是另有隱情,我是刑警寧澤嫡丙,帶...
    沈念sama閱讀 36,354評論 5 351
  • 正文 年R本政府宣布拴袭,位于F島的核電站,受9級特大地震影響曙博,放射性物質(zhì)發(fā)生泄漏稻扬。R本人自食惡果不足惜,卻給世界環(huán)境...
    茶點(diǎn)故事閱讀 42,029評論 3 335
  • 文/蒙蒙 一羊瘩、第九天 我趴在偏房一處隱蔽的房頂上張望泰佳。 院中可真熱鬧,春花似錦尘吗、人聲如沸逝她。這莊子的主人今日做“春日...
    開封第一講書人閱讀 32,514評論 0 25
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽黔宛。三九已至,卻和暖如春擒贸,著一層夾襖步出監(jiān)牢的瞬間臀晃,已是汗流浹背。 一陣腳步聲響...
    開封第一講書人閱讀 33,616評論 1 274
  • 我被黑心中介騙來泰國打工介劫, 沒想到剛下飛機(jī)就差點(diǎn)兒被人妖公主榨干…… 1. 我叫王不留徽惋,地道東北人。 一個月前我還...
    沈念sama閱讀 49,091評論 3 378
  • 正文 我出身青樓座韵,卻偏偏與公主長得像险绘,于是被迫代替她去往敵國和親踢京。 傳聞我的和親對象是個殘疾皇子,可洞房花燭夜當(dāng)晚...
    茶點(diǎn)故事閱讀 45,685評論 2 360

推薦閱讀更多精彩內(nèi)容