我想将经过Pytorch训练的模型转换为tensorflow模型,并在移动设备上使用该模型。为此,我遵循以下步骤;首先,我将pytorch训练好的模型转换为onnx格式。然后,我将onnx格式转换为tensorflow模型。 首先将pytorch训练好的模型转换为onnx; import torch
import torch.onnx
from detectron2.modeling import build_model
from detectron2.modeling import build_backbone
from torch.autograd import Variable
mo
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
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
我在虚拟环境中使用python2.7。我尝试在python2.7中安装pytorch,但得到以下错误:
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
- pytorch-cpu -> python[version='3.5.*|3.6.*']
- pytorch-cpu -> python[version='>=
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