针对你遇到的“nameerror: name 'torch' is not defined”错误,我们可以从以下几个方面进行排查和解决: 1. 确认是否已安装PyTorch库 首先,你需要确认你的Python环境中是否已经安装了PyTorch库。你可以通过运行以下命令来检查(在命令行或终端中): bash pip show torch 或者,如果你使用的是conda环境,可以运行: bas...
I'm currently attempting to create an executable using PyInstaller, but I've encountered an error : NameError: name 'name' is not defined caused by the line of code below. model = lp.Detectron2LayoutModel('lp://PubLayNet/faster_rcnn_R_50_FPN_3x/config',extra_config=["MODEL.ROI_HEADS...
Expected behavior is that the model should been loaded successfully on the fastchat server. neelkapadiaAWSchanged the titleName not found "torch" error in version 4.33.0Sep 7, 2023 Copy link Contributor younesbelkadacommentedSep 11, 2023
✅import torch Ensure that you have imported thetorchmodule at the top of your code. 3. Check PyTorch installation and environment IfPyTorchis installed and imported already, but you still encounter the “nameerror: name ‘torch’ is not defined” error. You can check ifPyTorchis installed i...
NameError: name 'torch' is not defined Repro: Install bitsandbytes export CUDA_VISIBLE_DEVICES= python checkbits.py from transformers import BitsAndBytesConfigbase_model='OpenAssistant/reward-model-deberta-v3-large-v2'false= Falsenull= Nonemodel_kwargs= {'local_files_only': False,'resume_downlo...
NameError: name 'XXX' is not defined 出现问题可能是在在上面函数中定义了learning_rate,而下面是是顶格。python和C/C++不同的地方是python的缩行代表了变量作用的范围。这也是《TensorFlow实战Google深度学习框架》这本书中的一个小错误。 解决方法:报错的原因是函数返回值得数量不一致,查看函数返回值数量和调用...
在release分支下,环境只支持python3.7, torch1.13,但是我的模型时torch2.0训练的,量化过程中右报错当前环境不支持我的模型。真是悲剧啊。官方啥时候能支持到python 3.10以上,torch2.0啊。 ESP_Junru Posts:49 Joined:Tue Jul 12, 2022 6:26 am Re: 使用TVM量化部署模型报错NameError: name 'GenerateESPConstants'...
Hi there! 😄 So I installed lutorpy python 3.5 and 2.7 using pip3 install --user lutorpy and pip2 install --user lutorpy respectively, under ~/.local/lib/. It appears the version for Python 3.5 is not working properly. Python 2.7 $ python...
🐛 Bug To Reproduce Steps to reproduce the behavior: Install torch version 1.9.0 Just open a jupyter notebook and import torch there. This error happens only when I change torch version from 1.4.0 to 1.9.0. No such issues with torch 1.4.0...
🐛 Describe the bug The following repro works on torch-nightly <= 2.1.0.dev20230403 but failed on nightlies newer than that. from segment_anything import build_sam, SamAutomaticMaskGenerator import cv2 from torch import _dynamo as dynamo ...