This example does not provide any special use case, but I guess this should. Roberta Roberta adsbygoogle window.adsbygoogle .push scipy.io.loadmat(file_name, mdict=None, appendmat=True, **kwargs) AttributeError: 'DataParallel' object has no attribute 'train_model It does NOT happen for the CPU or a single GPU. 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") where i is from 0 to N-1. So that I can transfer the parameters in Pytorch model to Keras. But when I want to parallel the data across several GPUs by doing model = nn.DataParallel(model), I can't save the model. def save_checkpoint(state, is_best, filename = 'checkpoint.pth.tar'): . # resre import rere, class torch.nn.DataParallel(module, device_ids=None, output_device=None, dim=0) [source] Implements data parallelism at the module level. It means you need to change the model.function() to . I am new to Pytorch and still wasnt able to figure one this out yet! Hi, Did you find any workaround for this? 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. cerca indirizzo da nome e cognome dataparallel' object has no attribute save_pretrained bdw I will try as you said and will update here, https://huggingface.co/transformers/notebooks.html. AttributeError: DataParallel object has no attribute items. which transformers_version are you using? 91 3. model nn.DataParallel module . . 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. This only happens when MULTIPLE GPUs are used. Modified 1 year, 11 months ago. 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. Thanks for replying. 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. But how can I load it again with from_pretrained method ? Hi, from_pretrained appeared in an older version of the library. What is wrong here? 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
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