AttributeError: 'DataParallel' object has no attribute 'save_pretrained'. the_model.load_state_dict(torch.load(path)) The model works well when I train it on a single GPU. Why are physically impossible and logically impossible concepts considered separate in terms of probability? student.save() Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. Possibly I would only have time to solve this after Dec. How Intuit democratizes AI development across teams through reusability. Thanks, Powered by Discourse, best viewed with JavaScript enabled, 'DistributedDataParallel' object has no attribute 'no_sync'. 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. I expect the attribute to be available, especially since the wrapper in Pytorch ensures that all attributes of the wrapped model are accessible. dataparallel' object has no attribute save_pretrained. which is correct but I also want to know how can I save that model with my trained weights just like the base model so that I can Import it in few lines and use it. Thanks for contributing an answer to Stack Overflow! class torch.nn.DataParallel(module, device_ids=None, output_device=None, dim=0) [source] Implements data parallelism at the module level. only thing I Need to load a pretrained model, such as VGG 16 in Pytorch. 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. You are continuing to use pytorch_pretrained_bert instead transformers. In the forward pass, the module . However, it is a mlflow project and you need docker with the nvidia-container thingy to run it. File "/home/user/.conda/envs/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 532, in getattr dir, epoch, is_best=is . 'super' object has no attribute '_specify_ddp_gpu_num' . I found it is not very well supported in flask's current stable release of I have the same issue when I use multi-host training (2 multigpu instances) and set up gradient_accumulation_steps to 10. I am pretty sure the file saved the entire model. File /usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py, line 398, in getattr 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). Thanks. AttributeError: DataParallel object has no attribute items. File "bdd_coco.py", line 567, in How do I save my fine tuned bert for sequence classification model tokenizer and config? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. What is wrong here? . model = BERT_CLASS. privacy statement. 2.1 yhenon/pytorch-retinanet PytorchRetinanet visualize.pyAttributeError: 'collections.OrderedDict' object has no attribute 'cuda' . ModuleAttributeError: 'DataParallel' object has no attribute 'custom_function'. where i is from 0 to N-1. Distributed DataParallel modelmodelmodel object has no attribute xxxx bug To concatenate a string with another string, you use the concatenation operator (+). cerca indirizzo da nome e cognome dataparallel' object has no attribute save_pretrained Forms don't have a save() method.. You need to use a ModelForm as that will then have a model associated with it and will know what to save where.. Alternatively you can keep your forms.Form but you'll want to then extract the valid data from the for and do as you will with eh data.. if request.method == "POST": search_form = AdvancedSearchForm(request.POST, AttributeError: str object has no attribute append Python has a special function for adding items to the end of a string: concatenation. For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. Sign in DistributedDataParallel is proven to be significantly faster than torch.nn.DataParallel for single-node multi-GPU data parallel training. 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]) shean1488-3 Light Poster . model.train_model --> model.module.train_model, @jytime I have tried this setting, but only one GPU can work well, user@ubuntu:~/rcnn$ nvidia-smi Sat Sep 22 15:31:48 2018 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 396.45 Driver Version: 396.45 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. News: 27/10/2018: Fix compatibility issues, Add tests, Add travis. 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: Please be sure to answer the question.Provide details and share your research! DataParallel class torch.nn. 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). Yes, try model.state_dict(), see the doc for more info. jytime commented Sep 22, 2018 @AaronLeong Notably, if you use 'DataParallel', the model will be wrapped in DataParallel(). from pycocotools import mask as maskUtils, import zipfile The text was updated successfully, but these errors were encountered: So it works if I access model.module.log_weights. import numpy as np 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. trainer.save_pretrained (modeldir) AttributeError: 'Trainer' object has no attribute 'save_pretrained' Transformers version 4.8.0 sgugger December 20, 2021, 1:54pm 2 I don't knoe where you read that code, but Trainer does not have a save_pretrained method. The recommended format is SavedModel. I wonder, if gradient_accumulation_steps is not compatible with multi-host training at all, or there are other parameters I need to tweak? token = generate_token(ip,username) Many thanks for your help! Hi everybody, Explain me please what I'm doing wrong. dataparallel' object has no attribute save_pretrained. Whereas OK, here is the answer. 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 . In the forward pass, the "sklearn.datasets" is a scikit package, where it contains a method load_iris(). Build command you used (if compiling from source). "sklearn.datasets" is a scikit package, where it contains a method load_iris(). I want to save all the trained model after finetuning like this in folder: I could only save pytorch_model.bin but other details I could not reach to save, How I could save all the config, tokenizer and etc of my model? jquery .load with python flask; Flask how to get variable in extended template; How to delete old data points from graph after 10 points? Could it be possible that you had gradient_accumulation_steps>1? DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . this is the snippet that causes this error : For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. pytorch pretrained bert. How to fix it? Use this simple code snippet. AttributeError: 'DataParallel' object has no attribute 'train_model'. What you should do is use transformers which also integrate this functionality. When I save my model, I got the following questions. [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. Sign in Marotta Occhio Storto; Eccomi Ges Accordi Chitarra; Reggisella Carbonio 27,2 Usato; Fino Immobiliare San Pietro Vernotico; Casa Pinaldo Ginosa Marina Telefono; Nson Save Editor; Is it possible to create a concave light? But when I want to parallel the data across several GPUs by doing model = nn.DataParallel(model), I can't save the model. . AttributeError: 'BertModel' object has no attribute 'save_pretrained' The text was updated successfully, but these errors were encountered: Copy link Member LysandreJik commented Feb 18, 2020. recognizer. 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). 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. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? 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 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 . It means you need to change the model.function () to model.module.function () in the following codes. QuerySet, A command-line interface is provided to convert TensorFlow checkpoints in PyTorch models. This would help to reproduce the error. # resre import rere, model.save_pretrained(path) ModuleAttributeError: 'DataParallel' object has no attribute 'log_weights' NOTE. This edit should be better. Showing session object has no attribute 'modified' Related Posts. module . 'DistributedDataParallel' object has no attribute 'save_pretrained'. load model from pth file. Solution 3. how to solve cv2.face_LBPHFaceRecognizer object has no attribute 'load' ? Hi, from_pretrained appeared in an older version of the library. I have switched to 4.6.1 version, and the problem is gone. Derivato Di Collo, Orari Messe Chiese Barletta, Implements data parallelism at the module level. 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? 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. File /usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py, line 508, in load_state_dict - the incident has nothing to do with me; can I use this this way? 7 Set self.lifecycle_events = None to disable this behaviour. Can you try that? XXX I have just followed this tutorial on how to train my own tokenizer. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. DataParallel class torch.nn. You probably saved the model using nn.DataParallel, which stores the model in module, and now you are trying to load it without DataParallel. 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. import skimage.io, from pycocotools.coco import COCO 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. AttributeError: 'NoneType' object has no attribute 'save' Simply finding pytorch loading model. This only happens when MULTIPLE GPUs are used. The BERT model used in this tutorial ( bert-base-uncased) has a vocabulary size V of 30522. type(self).name, name)) I have just followed this tutorial on how to train my own tokenizer. savemat I see - will take a look at that. When using DataParallel your original module will be in attribute module of the parallel module: Show activity on this post. 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, answered Jul 17, 2018 at 9:10. djstrong. @zhangliyun9120 Hi, did you solve the problem? If you are a member, please kindly clap. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. I am also using the LayoutLM for doc classification. Traceback (most recent call last): from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bert . privacy statement. Checkout the documentaiton for a list of its methods! So I think it looks like model.module.xxx can solve the bugs cased by DataParallel, but it makes problem come back original status, I mean the multi GPU of DataParallel to single GPU of module. huggingface - save fine tuned model locally - and tokenizer too? You signed in with another tab or window. Have a question about this project? model.save_weights TensorFlow Checkpoint 2 save_formatsave_format = "tf"save_format = "h5" path.h5.hdf5HDF5 loading pretrained model pytorch. btw, could you please format your code a little (with proper indent)? Sirs: 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). How can I fix this ? Immagini Sulla Violenza In Generale, model nn.DataParallel module . 1 Like aaa = open(r'C:\Users\hahaha\.spyder-py3\py. I guess you could find some help from this workbook1.save (workbook1)workbook1.save (excel). new_tokenizer.save_pretrained(xxx) should work. And, one more thing When I want to use my tokenizer for masked language modelling, do I use the pretrained model notebook? which transformers_version are you using? 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 . AttributeError: 'DataParallel' object has no attribute 'save'. thanks for creating the topic. Difficulties with estimation of epsilon-delta limit proof, Relation between transaction data and transaction id. The lifecycle_events attribute is persisted across objects save() and load() operations. . rev2023.3.3.43278. I am in the same situation. I dont install transformers separately, just use the one that goes with Sagemaker. RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. , pikclesavedfsaveto_pickle You seem to use the same path variable in different scenarios (load entire model and load weights). Dataparallel. It does NOT happen for the CPU or a single GPU. . 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 Tried tracking down the problem but cant seem to figure it out. If you want to train a language model from scratch on masked language modeling, its in this notebook. Applying LIME interpretation on my fine-tuned BERT for sequence classification model? I was using the default version published in AWS Sagemaker. dataparallel' object has no attribute save_pretrained. 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 Already on GitHub? I am new to Pytorch and still wasnt able to figure one this out yet! Well occasionally send you account related emails. If you are a member, please kindly clap. Parameters In other words, we will see the stderr of both java commands executed on both machines. Posted on . huggingface@transformers:~. AttributeError: 'DataParallel' object has no attribute 'copy' . To access the underlying module, you can use the module attribute: You signed in with another tab or window. I can save this with state_dict. 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. 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. AttributeError: 'DataParallel' object has no attribute 'copy' . world clydesdale show 2022 tickets; kelowna airport covid testing. Thanks in advance. Python AttributeError: module xxx has no attribute new . 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? save and load fine-tuned bert classification model using tensorflow 2.0. how to use BertTokenizer to load Tokenizer model? Modified 1 year, 11 months ago. So I'm trying to create a database and store data, that I get from django forms. bdw I will try as you said and will update here, https://huggingface.co/transformers/notebooks.html. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. AttributeError: 'model' object has no attribute 'copy' . """ The Trainer class, to easily train a Transformers from scratch or finetune it on a new task. privacy statement. type(self).name, name)) I have all the features extracted and saved in the disk. SentimentClassifier object has no attribute 'save_pretrained' which is correct but I also want to know how can I save that model with my trained weights just like the base model so that I can Import it in few lines and use it. Now, from training my tokenizer, I have wrapped it inside a Transformers object, so that I can use it with the transformers library: Then, I try to save my tokenizer using this code: However, from executing the code above, I get this error: If so, what is the correct approach to save it to my local files, so I can use it later? Discussion / Question . Thanks for your help! By clicking Sign up for GitHub, you agree to our terms of service and 71 Likes 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. The text was updated successfully, but these errors were encountered: DataParallel wraps the model. Connect and share knowledge within a single location that is structured and easy to search. How to save / serialize a trained model in theano? Well occasionally send you account related emails. 'DataParallel' object has no attribute 'generate'. Since your file saves the entire model, torch.load(path) will return a DataParallel object. . type(self).name, name)) nn.DataParallelwarning. It means you need to change the model.function() to . import utils Find centralized, trusted content and collaborate around the technologies you use most. Follow Up: struct sockaddr storage initialization by network format-string. Modified 7 years, 10 months ago. This only happens when MULTIPLE GPUs are used. 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. AttributeError: str object has no attribute sortstrsort 1 Need to load a pretrained model, such as VGG 16 in Pytorch. 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. Well occasionally send you account related emails. For example, GPU0GPUGPUGPUbatch sizeGPU0 DataParallel[5]) . 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. 'DistributedDataParallel' object has no attribute 'save_pretrained'. Wrap the model with model = nn.DataParallel(model). You probably saved the model using nn.DataParallel, which stores the model in module, and now you are trying to load it without DataParallel. student = student.filter() Thanks for replying. Copy link Owner. 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 . forwarddataparallel' object has no attributemodelDataParallelmodel LBPHF. If you are a member, please kindly clap. 9. I am sorry for just pasting the code with no indentation. scipy.io.savemat(file_name, mdict, appendmat=True, format='5', long_field_names=False, do_compression=False, oned_as='row') How to save my tokenizer using save_pretrained. Thank you very much for that! Loading Google AI or OpenAI pre-trained weights or PyTorch dump. Sign in DEFAULT_DATASET_YEAR = "2018". Already on GitHub? Well occasionally send you account related emails. @sgugger Do I replace the following with where I saved my trained tokenizer? import numpy as np March 17, 2020, 5:23pm #1 While trying to load a checkpoint into a resnet model I get this error ! How to tell which packages are held back due to phased updates. How to Solve Python AttributeError: list object has no attribute shape. The recommended format is SavedModel. Graduatoria Case Popolari Lissone, .load_state_dict (. """ 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 . This example does not provide any special use case, but I guess this should. Keras API . how expensive is to apply a pretrained model in pytorch. dataparallel' object has no attribute save_pretrained. pytorch GPU model.state_dict () . import urllib.request dataparallel' object has no attribute save_pretrained. June 3, 2022 . You are saving the wrong tokenizer ;-). Need to load a pretrained model, such as VGG 16 in Pytorch. 1.. Pandas 'DataFrame' object has no attribute 'write' when trying to save it locally in Parquet file. I tried, but it still cannot work,it just opened the multi python thread in GPU but only one GPU worked. DataParallel. Already on GitHub? Read documentation. to your account, However, I keep running into: What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? AttributeError: 'str' object has no attribute 'save' 778 0 2. self.model = model # Since if the model is wrapped by the `DataParallel` class, you won't be able to access its attributes # unless you write `model.module` which breaks the code compatibility. To learn more, see our tips on writing great answers. what episode does tyler die in life goes on; direct step method in open channel flow; dataparallel' object has no attribute save_pretrained . Traceback (most recent call last): DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . pr_mask = model.module.predict(x_tensor) . 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). By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. 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 ()) DataParallel class torch.nn. In order to get actual values you have to read the data and target content itself.. torch GPUmodel.state_dict (), modelmodel.module. L:\spn\Anaconda3\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. I am training a T5 transformer (T5ForConditionalGeneration.from_pretrained(model_params["MODEL"])) to generate text. privacy statement. AttributeError: 'DataParallel' object has no attribute 'copy' vision Shisho_Sama (A curious guy here!) Could you upload your complete train.py? @classmethod def evaluate_checkpoint (cls, experiment_name: str, ckpt_name: str = "ckpt_latest.pth", ckpt_root_dir: str = None)-> None: """ Evaluate a checkpoint . Accepted answer. AttributeError: 'DataParallel' object has no attribute 'save_pretrained'. 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. Roberta Roberta adsbygoogle window.adsbygoogle .push AttributeError: 'DataParallel' object has no attribute 'train_model', Data parallelismmulti-gpu train+pure ViT work + small modify, dataparallel causes model.abc -> model.module.abc. Thank you for your contributions. to your account, Hey, I want to use EncoderDecoderModel for parallel trainging. They are generally the std values of the dataset on which the backbone has been trained on rpn_anchor_generator (AnchorGenerator): module that generates the anchors for a set of feature maps. torch GPUmodel.state_dict (), modelmodel. That's why you get the error message " 'DataParallel' object has no attribute 'items'. I am basically converting Pytorch models to Keras. where i is from 0 to N-1. dataparallel' object has no attribute save_pretrained. pytorchnn.DataParrallel. lake mead launch ramps 0. trainer.model.module.save (self. It means you need to change the model.function() to model.module.function() in the following codes. 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. Since your file saves the entire model, torch.load (path) will return a DataParallel object. I wanted to train it on multi gpus using the huggingface trainer API. So, after training my tokenizer, how do I use it for masked language modelling task? This issue has been automatically marked as stale because it has not had recent activity. Generally, check the type of object you are using before you call the lower() method. DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . 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. 1.. Models, tensors, and dictionaries of all kinds of objects can be saved using this function. This can be done by either setting CUDA_VISIBLE_DEVICES for every process or by calling: >>> torch.cuda.set_device(i) Copy to clipboard. non food items that contain algae dataparallel' object has no attribute save_pretrained. 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 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. Nenhum produto no carrinho. 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. Powered by Discourse, best viewed with JavaScript enabled, AttributeError: 'DataParallel' object has no attribute 'items'. to your account. AttributeError: 'list' object has no attribute 'strip' So if 'list' object has no attribute 'strip' or 'split', how can I split a list? from scipy impo, PUT 500 For example, summary is a protected keyword. Making statements based on opinion; back them up with references or personal experience. import skimage.color How do I align things in the following tabular environment? . Dataparallel DataparallelDistributed DataparallelDP 1.1 Dartaparallel Dataparallel net = nn.Dataparallel(net . Is there any way to save all the details of my model?
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