文章目录
- 最近看很多人说Tensoflow,准备转型Pytorch,然后刚好搭建Tensoflow-gpu,搭建好了CUDA环境,就尝试安装了一下!
- 测试CUDA是否可用 import torch print(torch.cuda.is_available()) 结果应为: True 简单测试 from __future__ import print_function import torch x = torch.rand(5, 3) print(x) 结果类似与: tensor([[0.0730, 0.5183, 0.0066], [0.6899, 0.4511, 0.3222], [0.6566, 0.9099, 0.4501], [0.3694, 0.5197, 0.9324], [0.5693, 0.2476, 0.2959]])
- https://pytorch.org/get-started/locally/ https://www.emperinter.info/2020/07/28/tensorflow-gpu-support/
最近看很多人说Tensoflow,准备转型Pytorch,然后刚好搭建Tensoflow-gpu,搭建好了CUDA环境,就尝试安装了一下!
最近看很多人说Tensoflow,准备转型Pytorch,然后刚好搭建Tensoflow-gpu,搭建好了CUDA环境,就尝试安装了一下!
具体可以参考https://www.emperinter.info/2020/07/28/tensorflow-gpu-support/
具体可以参考https://www.emperinter.info/2020/07/28/tensorflow-gpu-support/
- 如为Windows平台+ Pip包管理 + Python语言 + CUDA10.2则会获取到
pip install torch===1.5.1 torchvision===0.6.1 -f https://download.pytorch.org/whl/torch_stable.html
- 测试CUDA是否可用
import torch
print(torch.cuda.is_available())
import torch
print(torch.cuda.is_available())
结果应为: True
- 简单测试
from __future__ import print_function
import torch
x = torch.rand(5, 3)
print(x)
结果类似与:
tensor([[0.0730, 0.5183, 0.0066],
[0.6899, 0.4511, 0.3222],
[0.6566, 0.9099, 0.4501],
[0.3694, 0.5197, 0.9324],
[0.5693, 0.2476, 0.2959]])

