組機器/深度學習機,自行編譯TensorFlow? - 3C
By Skylar DavisLinda
at 2017-12-30T15:40
at 2017-12-30T15:40
Table of Contents
若本文有不恰當之處, 請各位老司機告知, 小的自行刪除~
因為最近硬體貴鬆鬆, 所以一直都用 MacBook Pro 先胡亂用一下 numpy/tf
不過後來發覺一般 直接用 pip install tensorflow (conda install tensorflow)
所安裝的 tf 並沒有用到 intel SSE/AVX 等等指令集,
網路上找了有人人編譯好的支援指令集的版本 tf 後, 一輪 epoch 居然可以從
耗時三分多鐘進步到 大約一分四十秒...
請問各位... 組好機子之後, 會直接就上 tf 開始跑訓練, 還是會先花時間把tf
由原始碼重新編譯並且安裝?
感謝各位的經驗分享
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