anaconda命令行下檢查:
(base) PS C:\Users\chenxuqi> conda deactivate
PS C:\Users\chenxuqi> conda activate ssd
(ssd) PS C:\Users\chenxuqi> python
Python 3.6.12 |Anaconda, Inc.| (default, Sep 9 2020, 00:29:25) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> print(torch.__version__)
0.4.0
>>> print(torch.cuda.is_available())
True
>>>
>>>
>>>
cmd命令行下檢查cuda安裝:
Microsoft Windows [版本 10.0.18363.1139]
(c) 2019 Microsoft Corporation。保留所有權(quán)利。
C:\Users\chenxuqi>nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:32_Central_Daylight_Time_2017
Cuda compilation tools, release 9.0, V9.0.176
C:\Users\chenxuqi>
C:\Users\chenxuqi>
執(zhí)行使用GPU的代碼:
import time
import torch
##################################################
for i in range(1,10):
start = time.time()
a = torch.FloatTensor(i*100,1000,1000)
a = a.cuda() #a = a
a = torch.matmul(a,a)
end = time.time() - start
print(end)
執(zhí)行結(jié)果:
注意,這里顯存太小,溢出了...但是安裝是成功的...
Windows PowerShell
嘗試新的跨平臺(tái) PowerShell https://aka.ms/pscore6
PS C:\Users\chenxuqi\Desktop\新建文件夾> 'D:\Anaconda3\envs\ssd\python.exe' 'c:\Users\chenxuqi\.vscode\extensions\ms-python.python-2020.10.332292344\pythonFiles\lib\python\debugpy\launcher' '50571' '--' 'c:\Users\chenxuqi\Desktop\新建文件夾\testGPU.py'
3.6260359287261963
0.6305170059204102
0.9055967330932617
1.3199987411499023
1.5979139804840088
2.0483360290527344
THCudaCheck FAIL file=c:\programdata\miniconda3\conda-bld\pytorch_1524549877902\work\aten\src\thc\generic/THCStorage.cu line=58 error=2 : out of memory
Traceback (most recent call last):
File "c:\Users\chenxuqi\Desktop\新建文件夾\testGPU.py", line 10, in module>
a = torch.matmul(a,a)
RuntimeError: cuda runtime error (2) : out of memory at c:\programdata\miniconda3\conda-bld\pytorch_1524549877902\work\aten\src\thc\generic/THCStorage.cu:58
PS C:\Users\chenxuqi\Desktop\新建文件夾> conda activate ssd
PS C:\Users\chenxuqi\Desktop\新建文件夾>
補(bǔ)充:pytorch離線安裝,驗(yàn)證gpu版安裝成功
使用conda 命令在線安裝pytorch會(huì)下載中斷,添加pip清華大學(xué)鏡像源https://pypi.tuna.tsinghua.edu.cn/simple/中下好torch,安裝包,然后使用pip命令
例如:
pip install "C:\Users\28614\Desktop\pytorch-nightly-cpu-1.0.0.dev20181222-py3.7_cpu_0.tar.bz2"
安裝gpu版,需要安裝cuda,和cudnn。
驗(yàn)證gpu版是否安裝成功
import torch
print(torch.cuda.is_available())
返回True,則安裝成功
以上為個(gè)人經(jīng)驗(yàn),希望能給大家一個(gè)參考,也希望大家多多支持腳本之家。如有錯(cuò)誤或未考慮完全的地方,望不吝賜教。
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