通常,Trainer类位于pytorch_lightning.trainer模块下的Trainer类或更高一级的pytorch_lightning模块中,但通常我们会从pytorch_lightning模块直接导入Trainer,而不是trainer(注意大小写)。因此,语句from pytorch_lightning import trainer中的错误在于尝试导入一个不存在的trainer(小写)而不是Trainer(大写)。
ImportError: cannot import name 'LightningEnum' from 'pytorch_lightning.utilities' (E:\Eprogramfiles\Anaconda3\lib\site-packages\pytorch_lightning\utilities\__init__.py) E:\Eprogramfiles\Anaconda3\lib\site-packages\pytorch_lightning\trainer\states.py in <module> 15 from typing import Optional 16...
19 ImportError: cannot import name 'LightningEnum' from 'pytorch_lightning.utilities' (E:\Eprogramfiles\Anaconda3\lib\site-packages\pytorch_lightning\utilities\__init__.py) 修改\lib\site-packages\pytorch_lightning\trainer\states.py 文件,如上图。
pytorch-lightning 1.4.9 change version to torchmetrics==0.5.1 errors: ImportError: cannot import name 'Batch' from 'torchtext.data' change version to pytorch-lightning==1.3.8 error:ImportError: cannot import name 'f1_score' from 'pytorch_lightning.metrics.functional' Fang-git0 Mar 25, 2022 ...
import torch from torch.nn import functional as F from torchvision.datasets import MNIST from torch.utils.data import DataLoader from torchvision import transforms from pytorch_lightning import LightningModule from pytorch_lightning import Trainer
Returned gpus are is compatible with PytorchLightning's gpus arg. If return_device is True, will also return the device. Parameters --- use_gpu Use default GPU if available (if None or True), or index of GPU to use (if int), or name of...
importpytorch_lightning.utilities.seedaspl_seed 1. 第二步:设置随机种子 为了确保结果的可复现性,我们需要设置随机种子。随机种子是一个整数,它的值可以是任意的。在这个例子中,我们将随机种子设置为42。设置随机种子可以帮助我们在每次运行代码时得到相同的结果。
新的实现目的就是stateless,这样对其training pipeline的改动就比较小。主要是想无痛的放到pytorch-lightning下面,因为发现pytorch-lightning还是很香。 (虽然最后发现还是需要直接改pytorch-lightning源码,但是改动的地方不大。) 核心思想就是不改dataloader,而是去改distirbuted_sampler,让sampler的行为deterministic:如果...
🐛 Bug When trying to import anything from pl_bolts, I get the error: cannot import name 'LightningLoggerBase' from 'pytorch_lightning.loggers'. To Reproduce I'm currently using Keggle's pytorch_lightning version 1.9.0, and I saw that fro...
importosimporttorchfromtorch.nnimportfunctionalasFfromtorch.utils.dataimportDataLoaderfromtorchvision.datasetsimportMNISTfromtorchvisionimporttransformsimportpytorch_lightningasplfrompytorch_lightningimportTrainerfromargparseimportNamespaceclass_LitModel(pl.LightningModule):def__init__(self,hparams):super().__init__...