我试图在A100图形处理器上使用我当前的代码,但是我得到了这个错误:
---> backend='nccl'
/home/miranda9/miniconda3/envs/metalearningpy1.7.1c10.2/lib/python3.8/site-packages/torch/cuda/__init__.py:104: UserWarning:
A100-SXM4-40GB with CUDA capability sm_80 is not compatible with the current PyTorch installation.
The curre
火炬几何误差
FileNotFoundError: Could not find module '...\.conda\envs\urop\Lib\site-packages\torch_sparse\_convert_cuda.pyd' Try using the full path with constructor syntax.
版本:
torch_geometric==2.0.4
pytorch 1.11.0 py3.8_cpu_0 pytorch
pytorch-cluster 1
我正在尝试使用pytorch==1.11.0 Docker图像来获取。
我第一次运行docker run -i -t continuumio/miniconda3 /bin/bash。然后,在容器中运行:conda search -c conda-forge pytorch==1.11.0。以下是错误:
No match found for: pytorch==1.11.0. Search: *pytorch*==1.11.0
PackagesNotFoundError: The following packages are not available from current channe
我有一个新安装的Anaconda3 (版本2020.02)环境,并且我已经通过命令conda install pytorch torchvision cudatoolkit=10.2 -c pytorch安装了Pytorch GPU版本。我已经验证了我的Pytorch确实可以在GPU上运行良好。 但是,每当我通过conda update --all更新Anaconda时,总是显示以下消息: The following packages will be SUPERSEDED by a higher-priority channel:
pytorch pytorch:
是否有任何方法可以查看.tar.bz2文件是否有问题?正如您所看到的,我可以获得一个文件列表,但在这种情况下,xjvf和xzvf都不能工作。
$ tar tf pytorch.20210702.tar.bz2 | head -n 5
pytorch/
pytorch/BUILD.bazel
pytorch/requirements-flake8.txt
pytorch/NOTICE
pytorch/WORKSPACE
$ tar xjvf pytorch.20210702.tar.bz2
bzip2: (stdin) is not a bzip2 file.
tar: Child retu
当我尝试运行pip3 install pytorch或pip install pytorch时,我得到以下输出
Collecting pytorch
Using cached pytorch-1.0.2.tar.gz (689 bytes)
Building wheels for collected packages: pytorch
Building wheel for pytorch (setup.py) ... error
ERROR: Command errored out with exit status 1:
command: /home/chaitanya/an
我是PyTorch新手,错误地安装了CUDA10.2版的PyTorch。实际上,我的系统中没有CUDA。因此,当我编译我的程序时,我得到以下错误:
RuntimeError: Detected that PyTorch and torch_cluster were compiled with different CUDA versions. PyTorch has CUDA version 10.2 and torch_cluster has CUDA version 0.0. Please reinstall the torch_cluster that matches your PyTor
下面的代码可以工作: import torch
import pytorch_lightning as torchl
import pytorch_forecasting as torchf
from pytorch_forecasting.data.examples import get_stallion_data
x = torchf.data.examples.get_stallion_data()
print(x) 但是,如果我删除第四行,我会得到一个错误: AttributeError: module 'pytorch_forecasting.data' ha
我正在建立PyTorch从源头上的数据自动化系统遵循。
uname -a: Linux ares 5.8.0-59-generic #66~20.04.1-Ubuntu SMP Thu Jun 17 11:14:10 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
cuda version: 11.1
当我运行python setup.py install时,会得到以下错误:
/home/angus/pytorch/torch/csrc/jit/ir/ir.cpp: In member function ‘bool torch::jit::Node::hasSi
从开始,我下载了教程项目并让它构建和运行。然后,我尝试将其添加到该项目的应用程序build.gradle中(在将pytorch版本提高到1.5.0之后):
implementation 'org.pytorch:pytorch_android_torchaudio:1.5.0'
我得到了一个错误:
Could not find org.pytorch:pytorch_android_torchaudio:1.5.0.
其他人有运气让PyTorch的torchaudio在Android上工作吗?
我正在尝试在Kaggle笔记本中安装PyTorch-segmentation models。然而,我正面临着一个错误..请帮我解决这个问题。谢谢!! 使用的命令: !pip install -q -U segmentation-models-pytorch albumentations > /dev/null
import segmentation_models_pytorch as smp 错误: ERROR: Could not find a version that satisfies the requirement segmentation-models-pytorch (fr
导入torchvision时出现以下错误。 Detected that PyTorch and torchvision were compiled with different CUDA versions. PyTorch has CUDA Version=11.0 and torchvision has CUDA Version=10.1. Please reinstall the torchvision that matches your PyTorch install. 如何将pytorch的cuda版本改为10.1? ‘'conda install pytorch torch
我使用的是Windows 10,我的安装dir是:anacoda2/python2.7/python3.6/opencv/cdua10/cudnn ....
现在,我想使用以下命令安装pytorch:conda install pytorch -c pytorch
但结果是,我得到了这个错误:
C:\Users\MM>conda install pytorch -c pytorch
Solving environment: failed
UnsatisfiableError: The following specifications were found to be in confli
我已经尝试安装PyTorch使用安装代码来自官方的PyTorch网站。我在Conda导航器上的木星笔记本上本地运行它
conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
我收到了以下错误
PackagesNotFoundError: The following packages are not available from current channels:
- pytorch
- cudatoolkit=10.2
Current channels:
- https://conda.anacond