使用conda安装了pytorch:
(base) (3.8.0/envs/my_virtual_env-3.8.0) marco@pc:~/facenet_pytorch/examples$ conda install
pytorch torchvision cpuonly -c pytorch
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.我更新了conda:
(base) (3.8.0/envs/my_virtual_env-3.8.0) marco@pc:~/facenet_pytorch/examples$ conda update
conda
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.已安装的mkl=2019:
(base) (3.8.0/envs/my_virtual_env-3.8.0) marco@pc:~/facenet_pytorch/examples$ conda install
mkl=2019
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.
(base) (3.8.0/envs/my_virtual_env-3.8.0) marco@pc:~/facenet_pytorch/examples$ conda list | grep
torch
cpuonly 1.0 0 pytorch
facenet-pytorch 0.1.0 pypi_0 pypi
pytorch 1.3.0 py3.7_cpu_0 [cpuonly] pytorch
torchfile 0.1.0 pypi_0 pypi
torchvision 0.4.1 py37_cpu [cpuonly] pytorch但它仍然写着“无模块火炬”:
(base) (3.8.0/envs/my_virtual_env-3.8.0) marco@pc:~/facenet_pytorch/examples$ python3
Python 3.8.0 (default, Oct 30 2019, 16:20:23)
[GCC 7.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torch'
>>> 我发现这个问题只出现在python 3.8.0版本中。
(base) marco@pc:~/facenet_pytorch$ python3
Python 3.7.3 (default, Mar 27 2019, 22:11:17)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> Ubuntu 18.04.02服务器版
或者,正如您所说,这可能只是python环境的问题。但是我不明白为什么只是激活conda环境,使用"conda activate",它不能工作
马可
发布于 2019-11-21 15:56:59
首先,使用以下命令创建Conda环境:
conda create -n pytorch_env python=3 ( you can create with any python version )使用以下命令激活环境:
conda activate pytorch_env现在使用以下命令安装PyTorch:
conda install pytorch-cpu torchvision -c pytorch转到python shell并使用以下命令导入:
import torch发布于 2019-11-28 17:21:03
Pytorch可以通过pip和conda安装。为此,您需要创建一个单独的conda环境。因此,它不会破坏基本环境。创建新的conda环境的步骤如下:
conda create -n conda_pytorch python=3.6
source activate conda_pytorch 按照以下命令通过pip安装pytorch:
pip install torch==1.3.1+cpu torchvision==0.4.2+cpu -f https://download.pytorch.org/whl/torch_stable.html 通过conda安装Pytorch:
conda install pytorch torchvision cpuonly -c pytorch使用以下命令验证python shell中的pytorch安装:
import torch发布于 2019-11-29 19:32:25
感谢你们友好的回答。我解决了这个问题-首先,将python从3.8.0“降级”到3.7.3,因为我查看了PyTorch的聊天环境,发现PyTorch与Python3.8.0还不兼容-然后,在删除所有已经安装的东西后,按照您友好的解释,通过cunda安装最新版本的PyTorch
https://stackoverflow.com/questions/58732358
复制相似问题