ThinkPad 筆電安裝 TensorFlow 與 PyTorch

水某這台報廢的 ThinkPad 筆電經我調校後變成我五斗櫃工作室上的準桌電 (電池 GG 了), 性能雖稍遜於我的 Swift 5, 但也堪用了. 今天在上面安裝了 TensorFlow 與 PyTorch, 兩個加起來近 445 MB, 還真是龐大啊! 

C:\Users\User>pip install tensorflow    

Collecting tensorflow

  Downloading tensorflow-2.12.0-cp311-cp311-win_amd64.whl (1.9 kB)

Collecting tensorflow-intel==2.12.0 (from tensorflow)

  Downloading tensorflow_intel-2.12.0-cp311-cp311-win_amd64.whl (272.9 MB)    

.......

這台 ThinkPad 沒有獨顯, 故 PyTorch 要安裝 CPU 版 :

C:\Users\User>pip install torch torchvision torchaudio  

Collecting torch

  Downloading torch-2.0.1-cp311-cp311-win_amd64.whl (172.3 MB)

     ---------------------------------------- 172.3/172.3 MB 417.3 kB/s eta 0:00:00

Collecting torchvision

  Downloading torchvision-0.15.2-cp311-cp311-win_amd64.whl (1.2 MB)

     ---------------------------------------- 1.2/1.2 MB 370.1 kB/s eta 0:00:00

Collecting torchaudio

  Downloading torchaudio-2.0.2-cp311-cp311-win_amd64.whl (2.1 MB)

     ---------------------------------------- 2.1/2.1 MB 496.2 kB/s eta 0:00:00

.......

檢查版本 : 

Python 3.11.2 (C:\Users\User\AppData\Local\Programs\Python\Python311\python.exe)

>>> import tensorflow as tf   

>>> tf.__version__   

'2.12.0'

>>> import torch   

>>> print(torch.__version__)    

2.0.1+cpu

>>> torch.cuda.is_available()   

False

>>> import numpy as np   

>>> print(np.__version__)  

1.23.5

>>> import numpy as np   

>>> print(np.__version__)   

1.23.5

OK, 環境搭好等這陣子忙完後就可回來玩 ML 了.