dataparallel' object has no attribute save

I am sorry for just pasting the code with no indentation. This container parallelizes the application of the given module by splitting the input across the specified devices by chunking in the batch dimension (other objects will be copied once per device). You will need the torch, torchvision and torchvision.models modules.. DataParallelinit_hidden(DataParallel object has no attribute init_hidden) 2018-10-30 16:56:48 RNN DataParallel thanks. 71 Likes AttributeError: 'DataParallel' object has no attribute 'train_model'. GitHub Skip to content Product Solutions Open Source Pricing Sign in Sign up huggingface / transformers Public Notifications Fork 17.8k Star 79.3k Code Issues 424 Pull requests 123 Actions Projects 25 Security Insights New issue to your account. AttributeError: 'model' object has no attribute 'copy' Or AttributeError: 'DataParallel' object has no attribute 'copy' Or RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found At this time, we can load the model in the following way, first build the model, and then load the parameters. . only thing I Need to load a pretrained model, such as VGG 16 in Pytorch. Thank you very much for that! token = generate_token(ip,username) AttributeError: str object has no attribute sortstrsort 1 Need to load a pretrained model, such as VGG 16 in Pytorch. """ import contextlib import functools import glob import inspect import math import os import random import re import shutil import sys import time import warnings from collections.abc import Mapping from pathlib import Path from typing import TYPE_CHECKING, Any, Callable, Dict, List . model = nn.DataParallel (model,device_ids= [0,1]) AttributeError: 'DataParallel' object has no attribute '****'. Transformers is our natural language processing library and our hub is now open to all ML models, with support from libraries like Flair , Asteroid , ESPnet , Pyannote, and more to come. Need to load a pretrained model, such as VGG 16 in Pytorch. I don't know how you defined the tokenizer and what you assigned the "tokenizer" variable to, but this can be a solution to your problem: This saves everything about the tokenizer and with the your_model.save_pretrained('results/tokenizer/') you get: If you are using from pytorch_pretrained_bert import BertForSequenceClassification then that attribute is not available (as you can see from the code). This issue has been automatically marked as stale because it has not had recent activity. "sklearn.datasets" is a scikit package, where it contains a method load_iris(). For example, So I replaced the faulty line by the following line using the call method of PyTorch models : translated = model (**batch) but now I get the following error: error packages/transformers/models/pegasus/modeling_pegasus.py", line 1014, in forward Parameters In other words, we will see the stderr of both java commands executed on both machines. colombian street rappers Menu. DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . Sign up for a free GitHub account to open an issue and contact its maintainers and the community. XXX AttributeError: 'model' object has no attribute 'copy' . How should I go about getting parts for this bike? Thanks. Graduatoria Case Popolari Lissone, What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? When using DataParallel your original module will be in attribute module of the parallel module: for epoch in range (EPOCH_): hidden = decoder.module.init_hidden () Share. import urllib.request Another solution would be to use AutoClasses. warnings.warn(msg, SourceChangeWarning) Loading Google AI or OpenAI pre-trained weights or PyTorch dump. Why are physically impossible and logically impossible concepts considered separate in terms of probability? And, one more thing When I want to use my tokenizer for masked language modelling, do I use the pretrained model notebook? Well occasionally send you account related emails. It means you need to change the model.function() to model.module.function() in the following codes. ventura county jail release times; michael stuhlbarg voice in dopesick Traceback (most recent call last): dataparallel' object has no attribute save_pretrained. When I tried to fine tuning my resnet module, and run the following code: AttributeError: DataParallel object has no attribute fc. AttributeError: 'DataParallel' object has no attribute 'predict' model predict .module . venetian pool tickets; . san jose police bike auction / agno3 + hcl precipitate / dataparallel' object has no attribute save_pretrained Publicerad 3 juli, 2022 av hsbc: a payment was attempted from a new device text dataparallel' object has no attribute save_pretrained Or are you installing transformers from git master branch? How to save / serialize a trained model in theano? Modified 1 year, 11 months ago. tf.keras.models.load_model () There are two formats you can use to save an entire model to disk: the TensorFlow SavedModel format, and the older Keras H5 format . So I'm trying to create a database and store data, that I get from django forms. I am facing same issue as the given issu 'DistributedDataParallel' is custom class created by coder that is having base model available in Transformer repo, Where in below code that class is "SentimentClassifier". I tried, but it still cannot work,it just opened the multi python thread in GPU but only one GPU worked. Implements data parallelism at the module level. To learn more, see our tips on writing great answers. I dont install transformers separately, just use the one that goes with Sagemaker. Have a question about this project? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. [Sy] HMAC-SHA-256 Python Go to the online courses page on Python to learn more about coding in Python for data science and machine learning. pythonAttributeError: 'list' object has no attribute 'item' pythonpip listmarshmallow2.18.0pip installmarshmallow==3.7.0marshmallow . savemat Checkout the documentaiton for a list of its methods! Is it possible to create a concave light? The text was updated successfully, but these errors were encountered: So it works if I access model.module.log_weights. For example, summary is a protected keyword. Thanks for replying. How do I save my fine tuned bert for sequence classification model tokenizer and config? AttributeError: 'DataParallel' object has no attribute 'copy' RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found always provide the same behavior no matter what the setting of 'UPLOADED_FILES_USE_URL': False|True. AttributeError: 'DataParallel' object has no attribute 'save'. Models, tensors, and dictionaries of all kinds of objects can be saved using this function. I added .module to everything before .fc including the optimizer. . How to Solve Python AttributeError: list object has no attribute strip How to Solve Python AttributeError: _csv.reader object has no attribute next To learn more about Python for data science and machine learning, go to the online courses page on Python for the most comprehensive courses available. pr_mask = model.module.predict(x_tensor) . File /usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py, line 398, in getattr Hi, from_pretrained appeared in an older version of the library. pytorch pretrained bert. When using DataParallel your original module will be in attribute module of the parallel module: Show activity on this post. Already on GitHub? AttributeError: 'DataParallel' object has no attribute 'copy' vision Shisho_Sama (A curious guy here!) forwarddataparallel' object has no attributemodelDataParallelmodel LBPHF. How to Solve Python AttributeError: list object has no attribute shape. This can be done by either setting CUDA_VISIBLE_DEVICES for every process or by calling: >>> torch.cuda.set_device(i) Copy to clipboard. import model as modellib, COCO_MODEL_PATH = os.path.join(ROOT_DIR, "mask_rcnn_coco.pth"), DEFAULT_LOGS_DIR = os.path.join(ROOT_DIR, "logs") Hi everybody, Explain me please what I'm doing wrong. AttributeError: DataParallel object has no load pytorch model and predict key 0. load weights into a pytorch model. Derivato Di Collo, type(self).name, name)) Already on GitHub? Reply. Hi, Did you find any workaround for this? You will need the torch, torchvision and torchvision.models modules.. You might be able to call the method on your model_dm.wv object instead, but I'm not sure. I tried your updated solution but error appears torch.nn.modules.module.ModuleAttributeError: 'BertForSequenceClassification' object has no attribute 'save_pretrained' - Eliza William Oct 22, 2020 at 22:15 You are not using the code from my updated answer. def save_checkpoint(state, is_best, filename = 'checkpoint.pth.tar'): . Solution: Just remove show method from your expression, and if you need to show a data frame in the middle, call it on a standalone line without chaining with other expressions: Go to the online courses page on Python to learn more about coding in Python for data science and machine learning. Build command you used (if compiling from source). "After the incident", I started to be more careful not to trip over things. Well occasionally send you account related emails. You signed in with another tab or window. Showing session object has no attribute 'modified' Related Posts. I have switched to 4.6.1 version, and the problem is gone. AttributeError: 'DataParallel' object has no attribute 'train_model' The text was updated successfully, but these errors were encountered: All reactions. You signed in with another tab or window. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. I saved the binary model file by the following code, but when I used it to save tokenizer or config file I could not do it because I dnot know what file extension should I save tokenizer and I could not reach cofig file, In order to get actual values you have to read the data and target content itself.. torch GPUmodel.state_dict (), modelmodel.module. Posted on . Dataparallel. how expensive is to apply a pretrained model in pytorch. What does the file save? It is the default when you use model.save (). !:AttributeError:listsplit This is my code: : myList = ['hello'] myList.split() 2 To use DistributedDataParallel on a host with N GPUs, you should spawn up N processes, ensuring that each process exclusively works on a single GPU from 0 to N-1. I am basically converting Pytorch models to Keras. AttributeError: 'DataParallel' object has no attribute 'save_pretrained'. So that I can transfer the parameters in Pytorch model to Keras. dir, epoch, is_best=is . Yes, try model.state_dict(), see the doc for more info. You seem to use the same path variable in different scenarios (load entire model and load weights). Thanks for your help! The main part is run_nnet.py. thanks for creating the topic. The model works well when I train it on a single GPU. A complete end-to-end MLOps pipeline used to build, deploy, monitor, improve, and scale a YOLOv7-based aerial object detection model - schwenkd/aerial-detection-mlops tf.keras.models.load_model () There are two formats you can use to save an entire model to disk: the TensorFlow SavedModel format, and the older Keras H5 format . 'super' object has no attribute '_specify_ddp_gpu_num' . Powered by Discourse, best viewed with JavaScript enabled, Data parallelism error for pretrained model, pytorch/pytorch/blob/df8d6eeb19423848b20cd727bc4a728337b73829/torch/nn/parallel/data_parallel.py#L131, device_ids = list(range(torch.cuda.device_count())), self.device_ids = list(map(lambda x: _get_device_index(x, True), device_ids)), self.output_device = _get_device_index(output_device, True), self.src_device_obj = torch.device("cuda:{}".format(self.device_ids[0])). You can either add a nn.DataParallel temporarily in your network for loading purposes, or you can load the weights file, create a new ordered dict without the module prefix, and load it back. No products in the cart. The example below will show how to check the type It might be unintentional, but you called show on a data frame, which returns a None object, and then you try to use df2 as data frame, but its actually None. If you are a member, please kindly clap. scipy.io.loadmat(file_name, mdict=None, appendmat=True, **kwargs) DEFAULT_DATASET_YEAR = "2018". model.save_pretrained(path) Copy link SachinKalsi commented Jul 26, 2021. Well occasionally send you account related emails. import skimage.color to your account, However, I keep running into: from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bert . I am new to Pytorch and still wasnt able to figure one this out yet! non food items that contain algae dataparallel' object has no attribute save_pretrained. It means you need to change the model.function() to . 9 Years Ago. autocertificazione certificato contestuale di residenza e stato di famiglia; costo manodopera regione lazio 2020; taxi roma fiumicino telefono; carta d'identit del pinguino import time I found it is not very well supported in flask's current stable release of this is the snippet that causes this error : fine-tuning codes I seen on hugging face repo itself shows the same way to do thatso I did that AttributeError: 'DataParallel' object has no attribute 'save'. For further reading on AttributeErrors, go to the article: How to Solve Python AttributeError: numpy.ndarray object has no attribute append. How to save my tokenizer using save_pretrained. ModuleAttributeError: 'DataParallel' object has no attribute 'custom_function'. You seem to use the same path variable in different scenarios (load entire model and load weights). forwarddataparallel' object has no attributemodelDataParallelmodel AttributeError: 'model' object has no attribute 'copy' . News: 27/10/2018: Fix compatibility issues, Add tests, Add travis. @zhangliyun9120 Hi, did you solve the problem? How to fix it? In the forward pass, the "sklearn.datasets" is a scikit package, where it contains a method load_iris(). . Keras API . Asking for help, clarification, or responding to other answers. if the variable is of type list, then call the append method. 2. torch.distributed DataParallel GPU For further reading on AttributeErrors, go to the article: How to Solve Python AttributeError: numpy.ndarray object has no attribute append. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. How can I fix this ? I get this error: AttributeError: 'list' object has no attribute 'split. This edit should be better. How to Solve Python AttributeError: list object has no attribute strip How to Solve Python AttributeError: _csv.reader object has no attribute next To learn more about Python for data science and machine learning, go to the online courses page on Python for the most comprehensive courses available. . Oh and running the same code without the ddp and using a 1 GPU instance works just fine but obviously takes much longer to complete for name, param in state_dict.items(): Making statements based on opinion; back them up with references or personal experience. The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. Since the for loop on the tutanaklar.html page creates a slug to the model named DosyaBilgileri, the url named imajAlma does not work. Prezzo Mattoni Forati 8x25x50, Dataparallel DataparallelDistributed DataparallelDP 1.1 Dartaparallel Dataparallel net = nn.Dataparallel(net . Calls to add_lifecycle_event() will not record events into self.lifecycle_events then. DistributedDataParallel is proven to be significantly faster than torch.nn.DataParallel for single-node multi-GPU data parallel training. . The first thing we need to do is transfer the parameters of our PyTorch model into its equivalent in Keras. Have a question about this project? .load_state_dict (. Have a question about this project? GPU0GPUGPUGPUbatch sizeGPU0 DataParallel[5]) . AttributeError: 'AddAskForm' object has no attribute 'save' 287 1 1. Is there any way in Pytorch I might be able to extract the parameters in the pytorch model and use them? File "/home/user/.conda/envs/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 532, in getattr For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. dataparallel' object has no attribute save_pretrained. However, I expected this not to be required anymore due to: Apparently this was never merged, so yeah. nn.DataParallelwarning. 1.. import scipy.misc Powered by Discourse, best viewed with JavaScript enabled, AttributeError: 'DataParallel' object has no attribute 'items'. For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. Traceback (most recent call last): . from pycocotools import mask as maskUtils, import zipfile Otherwise you could look at the source and mimic the code to achieve the To load one of Google AI's, OpenAI's pre-trained models or a PyTorch saved model (an instance of BertForPreTraining saved with torch.save()), the PyTorch model classes and the tokenizer can be instantiated as. """ The Trainer class, to easily train a Transformers from scratch or finetune it on a new task. dataparallel' object has no attribute save_pretrained. DataParallel class torch.nn. yhenon/pytorch-retinanet PytorchRetinanet visualize.pyAttributeError: 'collections.OrderedDict' object has no attribute 'cuda' . Sign in If you use summary as a column name, you will see the error message. You probably saved the model using nn.DataParallel, which stores the model in module, and now you are trying to load it without DataParallel. Pretrained models for Pytorch (Work in progress) The goal of this repo is: to help to reproduce research papers results (transfer learning setups for instance), to access pretrained ConvNets with a unique interface/API inspired by torchvision. model.train_model(dataset_train, dataset_val, I have the same issue when I use multi-host training (2 multigpu instances) and set up gradient_accumulation_steps to 10. Tried tracking down the problem but cant seem to figure it out. Sirs: So just to recap (in case other people find it helpful), to train the RNNLearner.language_model with FastAI with multiple GPUs we do the following: Once we have our learn object, parallelize the model by executing learn.model = torch.nn.DataParallel (learn.model) Train as instructed in the docs. To access the underlying module, you can use the module attribute: You signed in with another tab or window. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. bdw I will try as you said and will update here, https://huggingface.co/transformers/notebooks.html. Solution 3. how to solve cv2.face_LBPHFaceRecognizer object has no attribute 'load' ? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Now, from training my tokenizer, I have wrapped it inside a Transformers object, so that I can use it with the transformers library: from transformers import BertTokenizerFast new_tokenizer = BertTokenizerFast(tokenizer_object=tokenizer) Then, I try to save my tokenizer using this code: tokenizer.save_pretrained('/content . DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . With the embedding size of 768, the total size of the word embedding table is ~ 4 (Bytes/FP32) * 30522 * 768 = 90 MB. File "/home/USER_NAME/venv/pt_110/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1178, in getattr I see - will take a look at that. which transformers_version are you using? I am trying to fine-tune layoutLM using with the following: Unfortunately I keep getting the following error. . to your account, Thank for your implementation, but I got an error when using 4 GPUs to train this model, # model = torch.nn.DataParallel(model, device_ids=[0,1,2,3]) Use this simple code snippet. uhvardhan (Harshvardhan Uppaluru) October 4, 2018, 6:04am #5 AttributeError: 'DataParallel' object has no attribute 'save_pretrained'. The BERT model used in this tutorial ( bert-base-uncased) has a vocabulary size V of 30522. AttributeError: 'DataParallel' object has no attribute 'copy' . How do I align things in the following tabular environment? A link to original question on the forum/Stack Overflow: The text was updated successfully, but these errors were encountered: Could you provide the information related to your environment, as well as the code that outputs this error, like it is asked in the issue template? 'DistributedDataParallel' object has no attribute 'save_pretrained'. Pandas 'DataFrame' object has no attribute 'write' when trying to save it locally in Parquet file. type(self).name, name)) What video game is Charlie playing in Poker Face S01E07? I expect the attribute to be available, especially since the wrapper in Pytorch ensures that all attributes of the wrapped model are accessible. Generally, check the type of object you are using before you call the lower() method. AttributeError: 'NoneType' object has no attribute 'save' Simply finding pytorch loading model. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. dataparallel' object has no attribute save_pretrainedverifica polinomi e prodotti notevoli. File /usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py, line 508, in load_state_dict Fine tuning resnet: 'DataParallel' object has no attribute 'fc' vision yang_yang1 (Yang Yang) March 13, 2018, 7:27am #1 When I tried to fine tuning my resnet module, and run the following code: ignored_params = list (map (id, model.fc.parameters ())) base_params = filter (lambda p: id not in ignored_params, model.parameters ()) If you are trying to access the fc layer in the resnet50 wrapped by the DataParallel model, you can use model.module.fc, as DataParallel stores the provided model as self.module: github.com pytorch/pytorch/blob/df8d6eeb19423848b20cd727bc4a728337b73829/torch/nn/parallel/data_parallel.py#L131 self.module = module self.device_ids = [] return I was wondering if you can share the train.py file. By clicking Sign up for GitHub, you agree to our terms of service and I am training a T5 transformer (T5ForConditionalGeneration.from_pretrained(model_params["MODEL"])) to generate text. Connect and share knowledge within a single location that is structured and easy to search. student = student.filter() DataParallel. dataparallel' object has no attribute save_pretrained. 1 Like answered Jul 17, 2018 at 9:10. djstrong. self.model.load_state_dict(checkpoint['model'].module.state_dict()) actually works and the reason it was failing earlier was that, I instantiated the models differently (assuming the use_se to be false as it was in the original training script) and thus the keys would differ. Python Flask: Same Response Returned for New Request; Flask not writing to file; from scipy impo, PUT 500 What you should do is use transformers which also integrate this functionality. Already on GitHub? It does NOT happen for the CPU or a single GPU. CLASS torch.nn.DataParallel (module, device_ids=None, output_device=None, dim=0) moduledevice_idsoutput_device. Is there any way to save all the details of my model? import skimage.io, from pycocotools.coco import COCO The recommended format is SavedModel. Sign in I am pretty sure the file saved the entire model. What is wrong here? from pycocotools.cocoeval import COCOeval The url named PaketAc works, but the url named imajAl does not work. Stack Exchange Network Stack Exchange network consists of 180 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. 0. who is kris benson married to +52 653 103 8595. bungee fitness charlotte nc; melissa ramsay mike budenholzer; Login . DataParallelinit_hidden(DataParallel object has no attribute init_hidden) 2018-10-30 16:56:48 RNN DataParallel Also don't try to save torch.save(model.parameters(), filepath). The DataFrame API contains a small number of protected keywords. Trying to understand how to get this basic Fourier Series. But when I want to parallel the data across several GPUs by doing model = nn.DataParallel(model), I can't save the model. pytorchnn.DataParrallel. Any reason to save a pretrained BERT tokenizer? . aaa = open(r'C:\Users\hahaha\.spyder-py3\py. This only happens when MULTIPLE GPUs are used. AttributeError: 'DataParallel' object has no attribute 'train_model', Data parallelismmulti-gpu train+pure ViT work + small modify, dataparallel causes model.abc -> model.module.abc. I saw in your initial(first thread) code: Can you(or someone) please explain to me why a module cannot be instance of nn.ModuleList, nn.Sequential or self.pModel in order to obtain the weights of each layer? type(self).name, name)) Discussion / Question . File /tmp/pycharm_project_896/agents/pytorch2keras.py, line 147, in You signed in with another tab or window. RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. shean1488-3 Light Poster . Possibly I would only have time to solve this after Dec. Whereas OK, here is the answer. If you are a member, please kindly clap. Have a question about this project? The recommended format is SavedModel. I can save this with state_dict. This can be done by either setting CUDA_VISIBLE_DEVICES for every process or by calling: >>> torch.cuda.set_device(i) Copy to clipboard. Lex Fridman Political Views, RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. 2.1 to your account, Hey, I want to use EncoderDecoderModel for parallel trainging. Publicado el . AttributeError: DataParallel object has no attribute items. Can you try that? dataparallel' object has no attribute save_pretrained. This PyTorch implementation of Transformer-XL is an adaptation of the original PyTorch implementation which has been slightly modified to match the performances of the TensorFlow implementation and allow to re-use the pretrained weights. I was using the default version published in AWS Sagemaker. AttributeError: 'DataParallel' object has no attribute 'copy' . Modified 7 years, 10 months ago. I am happy to share the full code. Contributo Covelco 2020, privacy statement. Hi, i meet the same problem, have you solved this problem? 1.. It means you need to change the model.function () to model.module.function () in the following codes. Thanks for contributing an answer to Stack Overflow! How Intuit democratizes AI development across teams through reusability. save and load fine-tuned bert classification model using tensorflow 2.0. how to use BertTokenizer to load Tokenizer model? If you are trying to access the fc layer in the resnet50 wrapped by the DataParallel model, you can use model.module.fc, as DataParallel stores the provided model as self.module: Great, thanks. @AaronLeong Notably, if you use 'DataParallel', the model will be wrapped in DataParallel (). Sign up for a free GitHub account to open an issue and contact its maintainers and the community. By clicking Sign up for GitHub, you agree to our terms of service and Viewed 12k times 1 I am trying to use a conditional statement to generate a raster with binary values from a raster with probability values (floating point raster). I have three models and all three of them are interconnected. It will be closed if no further activity occurs. please use read/write OR save/load consistantly (both write different files) berak AttributeError: module 'cv2' has no attribute 'face_LBPHFaceRecognizer' I am using python 3.6 and opencv_3.4.3. import os When it comes to saving and loading models, there are three core functions to be familiar with: torch.save : Saves a serialized object to disk. AttributeError: 'list' object has no attribute 'strip' So if 'list' object has no attribute 'strip' or 'split', how can I split a list? Show activity on this post. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 TITAN Xp COLLEC Off | 00000000:02:00.0 On | N/A | | 32% 57C P2 73W / 250W | 11354MiB / 12194MiB | 5% Default | +-------------------------------+----------------------+----------------------+ | 1 TITAN Xp Off | 00000000:03:00.0 Off | N/A | | 27% 46C P8 18W / 250W | 12MiB / 12196MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 TITAN Xp Off | 00000000:82:00.0 Off | N/A | | 28% 48C P8 19W / 250W | 12MiB / 12196MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 3 TITAN Xp Off | 00000000:83:00.0 Off | N/A | | 30% 50C P8 18W / 250W | 12MiB / 12196MiB | 0% Default | +-------------------------------+----------------------+----------------------+, ` import numpy as np File "run.py", line 288, in T5Trainer # resre import rere, I am trying to run my model on multiple GPUs for data parallelism but receiving this error: I have defined the following pretrained model : Its unclear to me where I can add module.

dataparallel' object has no attribute save_pretrained 2023