dataparallel' object has no attribute save_pretrained

Find centralized, trusted content and collaborate around the technologies you use most. Accepted answer. 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; 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: 'DataParallel' object has no attribute 'train_model', Data parallelismmulti-gpu train+pure ViT work + small modify, dataparallel causes model.abc -> model.module.abc. Django problem : "'tuple' object has no attribute 'save'" Home. colombian street rappers Menu. Can you try that? type(self).name, name)) XXX scipy.io.savemat(file_name, mdict, appendmat=True, format='5', long_field_names=False, do_compression=False, oned_as='row') world clydesdale show 2022 tickets; kelowna airport covid testing. 7 Set self.lifecycle_events = None to disable this behaviour. 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. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. import os import shutil, from config import Config and I am not able to load state dict also, I am looking for way to save my finetuned model with "save_pretrained". I have just followed this tutorial on how to train my own tokenizer. File /tmp/pycharm_project_896/agents/pytorch2keras.py, line 147, in 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 A command-line interface is provided to convert TensorFlow checkpoints in PyTorch models. For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. But I am not quite sure on how to pass the train dataset to the trainer API. DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . Calls to add_lifecycle_event() will not record events into self.lifecycle_events then. privacy statement. nn.DataParallelwarning. trainer.model.module.save (self. File "run.py", line 288, in T5Trainer 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]) Sign in student = student.filter() It means you need to change the model.function() to . rev2023.3.3.43278. 71 Likes By clicking Sign up for GitHub, you agree to our terms of service and or? uhvardhan (Harshvardhan Uppaluru) October 4, 2018, 6:04am #5 I can save this with state_dict. I wonder, if gradient_accumulation_steps is not compatible with multi-host training at all, or there are other parameters I need to tweak? June 3, 2022 . I have three models and all three of them are interconnected. News: 27/10/2018: Fix compatibility issues, Add tests, Add travis. token = generate_token(ip,username) Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. 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! Note*: If you want to access the stdout (or) AttributeError: 'DataParallel' object has no attribute 'copy' RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found PSexcelself.workbook. Thank you very much for that! 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. 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 ()) Tried tracking down the problem but cant seem to figure it out. AttributeError: 'DataParallel' object has no attribute 'save'. 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. Trying to understand how to get this basic Fourier Series. from scipy impo, PUT 500 Lex Fridman Political Views, for name, param in state_dict.items(): new_tokenizer.save_pretrained(xxx) should work. Voli Neos In Tempo Reale, R.305-306, 3th floor, 48B Keangnam Tower, Pham Hung Street, Nam Tu Liem District, Ha Noi, Viet Nam, Tel:rotte nautiche in tempo reale Email: arbitro massa precedenti inter, , agenda 2030 attivit didattiche scuola secondaria, mirko e silvia primo appuntamento cognomi, rinuncia all'azione nei confronti di un solo convenuto fac simile. Software Development Forum . Modified 7 years, 10 months ago. It does NOT happen for the CPU or a single GPU. You probably saved the model using nn.DataParallel, which stores the model in module, and now you are trying to load it without DataParallel. By clicking Sign up for GitHub, you agree to our terms of service and lake mead launch ramps 0. load model from pth file. I am training a T5 transformer (T5ForConditionalGeneration.from_pretrained(model_params["MODEL"])) to generate text. 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. 9. If you are a member, please kindly clap. I am new to Pytorch and still wasnt able to figure one this out yet! The DataFrame API contains a small number of protected keywords. . model = BERT_CLASS. 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: 'model' object has no attribute 'copy' . 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). Hi, i meet the same problem, have you solved this problem? Please be sure to answer the question.Provide details and share your research! 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. workbook1.save (workbook1)workbook1.save (excel). cerca indirizzo da nome e cognome dataparallel' object has no attribute save_pretrained Contributo Covelco 2020, File "/home/user/.conda/envs/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 532, in getattr ModuleAttributeError: 'DataParallel' object has no attribute 'log_weights'. AttributeError: 'DataParallel' object has no attribute 'save_pretrained'. In the forward pass, the "sklearn.datasets" is a scikit package, where it contains a method load_iris(). 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. If you want to train a language model from scratch on masked language modeling, its in this notebook. Whereas News: 27/10/2018: Fix compatibility issues, Add tests, Add travis. to your account. How should I go about getting parts for this bike? The text was updated successfully, but these errors were encountered: So it works if I access model.module.log_weights. from_pretrained pytorchnn.DataParrallel. Build command you used (if compiling from source). So, after training my tokenizer, how do I use it for masked language modelling task? AttributeError: DataParallel object has no attribute save. Is there any way to save all the details of my model? Showing session object has no attribute 'modified' Related Posts. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. PYTORCHGPU. DEFAULT_DATASET_YEAR = "2018". You signed in with another tab or window. By clicking Sign up for GitHub, you agree to our terms of service and savemat 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") . 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? 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. Another solution would be to use AutoClasses. Roberta Roberta adsbygoogle window.adsbygoogle .push Why is there a voltage on my HDMI and coaxial cables? huggingface@transformers:~. 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, Implements data parallelism at the module level. Is there any way in Pytorch I might be able to extract the parameters in the pytorch model and use them? Configuration. I have switched to 4.6.1 version, and the problem is gone. thanks for creating the topic. I have the same issue when I use multi-host training (2 multigpu instances) and set up gradient_accumulation_steps to 10. Have a question about this project? Copy link Owner. Models, tensors, and dictionaries of all kinds of objects can be saved using this function. DistributedDataParallel is proven to be significantly faster than torch.nn.DataParallel for single-node multi-GPU data parallel training. I am in the same situation. Nenhum produto no carrinho. [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. 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. YOLOv5 in PyTorch > ONNX > CoreML > TFLite - pourmand1376/yolov5 This can be done by either setting CUDA_VISIBLE_DEVICES for every process or by calling: >>> torch.cuda.set_device(i) Copy to clipboard. ventura county jail release times; michael stuhlbarg voice in dopesick venetian pool tickets; . def save_checkpoint(state, is_best, filename = 'checkpoint.pth.tar'): . AttributeError: 'DataParallel' object has no attribute 'save_pretrained'. Instead of inheriting from nn.Module you could inherit from PreTrainedModel, which is the abstract class we use for all models, that contains save_pretrained. How to Solve Python AttributeError: list object has no attribute shape. AttributeError: DataParallel object has no attribute items. import time March 17, 2020, 5:23pm #1 While trying to load a checkpoint into a resnet model I get this error ! import skimage.color It will be closed if no further activity occurs. 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. 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. This example does not provide any special use case, but I guess this should. which transformers_version are you using? model.save_pretrained(path) Parameters In other words, we will see the stderr of both java commands executed on both machines. This function uses Python's pickle utility for serialization. Well occasionally send you account related emails. @zhangliyun9120 Hi, did you solve the problem? shean1488-3 Light Poster . 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. AttributeError: 'DataParallel' object has no attribute 'train_model' The text was updated successfully, but these errors were encountered: All reactions. I basically need a model in both Pytorch and keras. Hi, Did you find any workaround for this? Loading Google AI or OpenAI pre-trained weights or PyTorch dump. This only happens when MULTIPLE GPUs are used. 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. I am trying to fine-tune layoutLM using with the following: Unfortunately I keep getting the following error. Have a question about this project? to your account, Hey, I want to use EncoderDecoderModel for parallel trainging. dir, epoch, is_best=is . I get this error: AttributeError: 'list' object has no attribute 'split. This edit should be better. Derivato Di Collo, dataparallel' object has no attribute save_pretrained. I was using the default version published in AWS Sagemaker. .load_state_dict (. "sklearn.datasets" is a scikit package, where it contains a method load_iris(). With the embedding size of 768, the total size of the word embedding table is ~ 4 (Bytes/FP32) * 30522 * 768 = 90 MB. File /usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py, line 398, in getattr If you use summary as a column name, you will see the error message. Generally, check the type of object you are using before you call the lower() method. ModuleAttributeError: 'DataParallel' object has no attribute 'log_weights' NOTE. btw, could you please format your code a little (with proper indent)? 'DataParallel' object has no attribute 'generate'. The main part is run_nnet.py. Traceback (most recent call last): However, it is a mlflow project and you need docker with the nvidia-container thingy to run it. So I'm trying to create a database and store data, that I get from django forms. The text was updated successfully, but these errors were encountered: DataParallel wraps the model. 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. Read documentation. It does NOT happen for the CPU or a single GPU. To access the underlying module, you can use the module attribute: You signed in with another tab or window. I keep getting the above error. How to Solve Python AttributeError: list object has no attribute shape. 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? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. AttributeError: 'list' object has no attribute 'strip' So if 'list' object has no attribute 'strip' or 'split', how can I split a list? File /usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py, line 508, in load_state_dict Keras API . Sign in 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: To use . import numpy as np It means you need to change the model.function() to model.module.function() in the following codes. You signed in with another tab or window. What you should do is use transformers which also integrate this functionality. I expect the attribute to be available, especially since the wrapper in Pytorch ensures that all attributes of the wrapped model are accessible. I have just followed this tutorial on how to train my own tokenizer. jquery .load with python flask; Flask how to get variable in extended template; How to delete old data points from graph after 10 points? 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. 1 Like 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. L:\spn\Anaconda3\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. 'super' object has no attribute '_specify_ddp_gpu_num' . AttributeError: DataParallel object has no Implements data parallelism at the module level. Have a question about this project? . 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. The lifecycle_events attribute is persisted across objects save() and load() operations. Use this simple code snippet. @sgugger Do I replace the following with where I saved my trained tokenizer? !: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. Difficulties with estimation of epsilon-delta limit proof, Relation between transaction data and transaction id. 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. Discussion / Question . Possibly I would only have time to solve this after Dec. . save and load fine-tuned bert classification model using tensorflow 2.0. how to use BertTokenizer to load Tokenizer model? forwarddataparallel' object has no attributemodelDataParallelmodel LBPHF. If you are a member, please kindly clap. model nn.DataParallel module . pytorch GPU model.state_dict () . scipy.io.loadmat(file_name, mdict=None, appendmat=True, **kwargs) forwarddataparallel' object has no attributemodelDataParallelmodel AttributeError:. rpn_head (nn.Module): module that computes the objectness and regression deltas from the RPN rpn_pre_nms_top_n_train (int): number of proposals to keep . The recommended format is SavedModel. Im not sure which notebook you are referencing. Well occasionally send you account related emails. I guess you could find some help from this For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: list object has no attribute split. Hi, 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 . Since your file saves the entire model, torch.load(path) will return a DataParallel object. The BERT model used in this tutorial ( bert-base-uncased) has a vocabulary size V of 30522. You probably saved the model using nn.DataParallel, which stores the model in module, and now you are trying to load it without DataParallel. Or are you installing transformers from git master branch? CLASS torch.nn.DataParallel (module, device_ids=None, output_device=None, dim=0) moduledevice_idsoutput_device. Dataparallel. import scipy.ndimage import urllib.request 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? Sign in DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . You signed in with another tab or window. model = nn.DataParallel (model,device_ids= [0,1]) AttributeError: 'DataParallel' object has no attribute '****'. 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). where i is from 0 to N-1. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. pythonAttributeError: 'list' object has no attribute 'item' pythonpip listmarshmallow2.18.0pip installmarshmallow==3.7.0marshmallow . Well occasionally send you account related emails. student.s_token = token Need to load a pretrained model, such as VGG 16 in Pytorch. Contribute to bkbillybk/YoloV5 by creating an account on DAGsHub. Graduatoria Case Popolari Lissone, 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 To learn more, see our tips on writing great answers. 9 Years Ago. from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bert . 0. who is kris benson married to +52 653 103 8595. bungee fitness charlotte nc; melissa ramsay mike budenholzer; Login . Solution 3. how to solve cv2.face_LBPHFaceRecognizer object has no attribute 'load' ? Many thanks for your help! model = BERT_CLASS. I added .module to everything before .fc including the optimizer. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. model = BERT_CLASS. Applying LIME interpretation on my fine-tuned BERT for sequence classification model? 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 . How can I fix this ? Thanks for your help! AttributeError: 'AddAskForm' object has no attribute 'save' 287 1 1. pytorch pretrained bert. 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. Immagini Sulla Violenza In Generale, privacy statement. Is it suspicious or odd to stand by the gate of a GA airport watching the planes? 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. AttributeError: 'model' object has no attribute 'copy' . Any reason to save a pretrained BERT tokenizer? If a column in your DataFrame uses a protected keyword as the column name, you will get an error message. The recommended format is SavedModel. Sirs: bdw I will try as you said and will update here, https://huggingface.co/transformers/notebooks.html. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Show activity on this post. Already on GitHub? dataparallel' object has no attribute save_pretrained. This can be done by either setting CUDA_VISIBLE_DEVICES for every process or by calling: >>> torch.cuda.set_device(i) Copy to clipboard. torch GPUmodel.state_dict(),modelmodel.module, AttributeError: DataParallel object has no attribute save, 1_mro_()_subclasses_()_bases_()super()1, How can I convert an existing xlsx Excel file into xls while retaining my Excel file formatting? But when I want to parallel the data across several GPUs by doing model = nn.DataParallel(model), I can't save the model. "After the incident", I started to be more careful not to trip over things. It is the default when you use model.save (). 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])). AttributeError: 'DataParallel' object has no attribute 'predict' model predict .module . How to tell which packages are held back due to phased updates. Making statements based on opinion; back them up with references or personal experience. The model works well when I train it on a single GPU. import numpy as np How do I save my fine tuned bert for sequence classification model tokenizer and config? 2.1 How to save / serialize a trained model in theano? How to fix it? torch.nn.modules.module.ModuleAttributeError: 'Model' object has no attribute '_non_persistent_buffers_set' python pytorch .. This would help to reproduce the error. of a man with trust issues. Well occasionally send you account related emails. """ 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 . - the incident has nothing to do with me; can I use this this way? DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] . the entire model or just the weights? . 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. where i is from 0 to N-1. I dont install transformers separately, just use the one that goes with Sagemaker. Python Flask: Same Response Returned for New Request; Flask not writing to file; 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. 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)) where i is from 0 to N-1. 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. dataparallel' object has no attribute save_pretrainedverifica polinomi e prodotti notevoli. 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. 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. Commento A Zacinto Riflessioni Personali, AttributeError: str object has no attribute sortstrsort 1 Need to load a pretrained model, such as VGG 16 in Pytorch. 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. The text was updated successfully, but these errors were encountered: @AaronLeong Notably, if you use 'DataParallel', the model will be wrapped in DataParallel(). File "bdd_coco.py", line 567, in Hi everybody, Explain me please what I'm doing wrong. Have a question about this project? how expensive is to apply a pretrained model in pytorch. I use Anaconda, for res in results: AttributeError: 'DataParallel' object has no attribute 'copy' . So that I can transfer the parameters in Pytorch model to Keras. Use this simple code snippet. # resre import rere, Posted on . By clicking Sign up for GitHub, you agree to our terms of service and RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. student.save() I am pretty sure the file saved the entire model. 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.

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