But avoid â¦. è¯¯å° writer.add_scalaråæ writer.add_scalars,è¿æ¯ä¸¤ä¸ªä¸åç彿°. "sklearn.datasets" is a scikit package, where it contains a method load_iris(). 宿¹çè§£éå¦ä¸ï¼. DataParallel (module, device_ids = None, output_device = None, dim = 0) [source] ¶. Ask Question Asked 1 year, 11 months ago. 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. æ£æ¥ä¸ä¸æ¼å!ä½ å¯ä»¥ä½¿ç¨å
å»ºå½æ° dir æ¥ååºåå¨ç屿§ ã. Asking for help, clarification, or responding to other answers. 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. 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. 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. InMemoryUploadedFile raises FileField 'InMemoryUploadedFile' object has no. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. æ¥é
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¶å®ä¹å¦ä¸ï¼. AttributeError: âstrâ object has no attribute âappendâ Python has a special function for adding items to the end of a string: concatenation. "sklearn.datasets" is a scikit package, where it contains a method load_iris(). How to Solve Python AttributeError: âlistâ object has no attribute âstripâ How to Solve Python AttributeError: â_csv.readerâ object has no attribute ânextâ 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. The url named PaketAc works, but the url named imajAl does not work. Discussion / Question . 谢谢. å¨ä½¿ç¨ä¸è¿°ä¿®æ¹æ¹æ³åï¼ä»£ç å¦ä¸æç¤ºï¼. 1.åå§å. I am trying to save the BART Seq2Seq model. The first thing we need to do is transfer the parameters of our PyTorch model into its equivalent in Keras. Note*: If you want to access the stdout (or) ⦠²ç»è¢«å°è£
è¿ç±»ä¼¼Distributed DataParallel çç±»éï¼æ¤modelé平常使ç¨çmodelï¼æä»¥å¯¼è´è°ç¨åå§modelç彿°æ¶ä¼åºç° object has no attribute â xxxx âçbugã ãé®é¢æ é¢ãï¼âDataParallelâ对象没æå±æ§âinit_hiddenâ(âDataParallelâ object has no attribute âinit_hiddenâ) ãå叿¶é´ãï¼2018-10-30 16:56:48 ãé®é¢æè¿°ãï¼ ææ³åçæ¯å¨æçèªå®ä¹ RNN ç±»ä¸ä½¿ç¨ DataParallelã You probably saved the model using nn.DataParallel, which stores the model in module, and now you are trying to load it without DataParallel. shean1488-3 Light Poster . è¿è¡pythonç¨åºåºç°ï¼AttributeError: 'list' object has no attribute 'item'ã è¿éä¸»è¦æ¯ææ¾ä¸å°æä¸ªåæ°ï¼æ¥çpythonçå
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ï¼çæ¬å¤ªä½å¯è½å¯¼è´æäºåºåå䏿£ç¡®ã I have three models and all three of them are interconnected. ä¸é¢ä¸»è¦ä»ç»ä¸ä¸æçè°ç¨è¿ç¨ï¼æç²ç¥çæä»åæä¸æ¥ï¼. Simply finding ⦠You can switch to the H5 format by: Passing save_format='h5' to save (). load pytorch model and predict key 0. load weights into a pytorch 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 . æ¥é
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¶å®ä¹å¦ä¸ï¼. AttributeError: âDataParallelâ object has no attribute âitemsâ I am basically converting Pytorch models to Keras. pr_mask = model.module.predict(x_tensor) thanks. You will need the torch, torchvision and torchvision.models modules.. To concatenate a string with another string, you use the concatenation operator (+). æä¸ç³æ¶äºï¼è¿æ¯æ©ç¹ç¡å§ï¼æå¤©åçï¼. Reply. 使¯ï¼PYTORCHé»è®¤åªä½¿ç¨ä¸ä¸ªGPUã. pytorch pretrained bert. Each derived config class implements model specific attributes. From Python 3 onwards, all the strings are in Unicode objects, and hence we cannot use the decode() attribute on the str object directly.. Let us understand what is encoding and decoding in Python. AttributeError: 'DataParallel' object has no attribute 'copy' æè
. 宿¹çè§£éå¦ä¸ï¼. nn.DataParallelçwarning. AttributeError: 'DataParallel' object has no attribute 'train_model' The text was updated successfully, but these errors were encountered: Copy link Owner jytime commented Sep 22, 2018 @AaronLeong Notably, if you use 'DataParallel', the model will be wrapped in DataParallel(). how expensive is to apply a pretrained model in pytorch. AttributeError: âDataParallelâ object has no attribute âitemsâ I am basically converting Pytorch models to Keras. ¯åï¼æå忥æ¯ççå 为å¼ç¨åºç顺åºéäºæåºç°è¿ä¸ªå¼å¸¸ã. å¨ pytorch å¤GPUè®ç»ä¸ï¼åå¨ æ´ä¸ªæ¨¡å ï¼ è䏿¯model.state_dict () ï¼ååè°ç¨æ¨¡åå¯è½ä¼éå°ä¸é¢çæ
åµï¼. æ¥éå¦å¾ï¼. 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. Loading Google AI or OpenAI pre-trained weights or PyTorch dump. I get this error: AttributeError: 'list' object has no attribute 'split. 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. Generally, check the type of object you are using before you call the lower() method. The lifecycle_events attribute is persisted across objectâs save() and load() operations. The python variable should be checked for the list. AttributeError: 'LogisticRegression' object has no attribute 'input' Sorry about the confusion. LBPHF. æåçä¸ä¸ªè§£å³æ¹æ³æ¯ï¼ 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. You will need the torch, torchvision and torchvision.models modules.. LP. How to fix it? 2 comments Comments. æ¨å¯ä»¥éè¿ Keras API å°è¿äºçæ®µä¸æ¬¡æ§ä¿åå°ç£çï¼æä»
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¶ä¸ä¸äºç段ï¼. Otherwise, take the alternative path and ignore the append () attribute. load model from pth file. Use this simple code snippet. 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. AttributeError: 'model' object has no attribute 'copy' æè
. Pandas 'DataFrame' object has no attribute 'write' when trying to save it locally in Parquet file. If you are a member, please kindly clap. [closed] edit. ... 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. ä¸ç»æå¤±åææ ï¼éè¿ç¼è¯æ¨¡åæéè¿è°ç¨ add_loss () æ add_metric () æ¥å®ä¹ï¼ã. Use this simple code snippet. .load_state_dict (. It is the default when you use model.save (). 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). å¨ä½¿ç¨ä¸è¿°ä¿®æ¹æ¹æ³åï¼ä»£ç å¦ä¸æç¤ºï¼. å¨ torch å¤GPUè®ç»ä¸ï¼åå¨çæ¯æ´ä¸ªæ¨¡åè䏿¯model.state_dict (), æä»¥æä»¬å¨è°ç¨modelæ¶éè¦ä½¿ç¨model.moduleæ¹å¼ã. Calls to add_lifecycle_event() will not record events into self.lifecycle_events then. from_pretrained ⦠Hi, I am trying to run my model on multiple GPUs for data parallelism but receiving this error: AttributeError: 'DataParallel' object has no attribute 'fc' I have defined the following pretrained model : def resnet50(num_classes, device): model = models.resnet50(pretrained=True) model = torch.nn.DataParallel(model) for p in ⦠ä¾ãã°ãAttributeError: âstrâ object has no attribute âsortâãã¨ããã¨ã©ã¼ãçºçããã¨ãã¾ãããã®ã¨ã©ã¼ãæãã¦ããã®ã¯ããstråã«ã¯sort颿°ãå®ç¾©ããã¦ãã¾ãããã¨ãããã¨ã§ãã ã¨ã©ã¼ã®ãµã³ãã«ã³ã¼ã1ï¼é¢æ°ï¼ è¿æ¶åæä»¬å¯ä»¥ç¨ä¸é¢çæ¹å¼è½½å
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å»ºç«æ¨¡åï¼ç¶åå è½½åæ°ã Which sounds to me (like Dan says) that you're probably running your script using ArcGIS Desktop Python 2.7 not ArcGIS Pro Python 3. how to solve cv2.face_LBPHFaceRecognizer object has no attribute 'load' ? å精度è®ç»ã 2. ä½¿ç¨ torch.distributed å éå¹¶è¡è®ç»ï¼ DataParallelï¼åè¿ç¨æ§å¶å¤ GPUã Implements data parallelism at the module level. only thing I ⦠News: 27/10/2018: Fix compatibility issues, Add tests, Add travis. How to Solve Python AttributeError: âlistâ object has no attribute âshapeâ. RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. Python ã§ã AttributeError: module âxxxâ has no attribute ânewâ ãã¨ã¨ã©ã¼ã«ãªãæã®åå ã¨å¯¾å¦ã«ã¤ãã¦ã§ãã. Since the for loop on the tutanaklar.html page creates a slug to the model named DosyaBilgileri, the url named imajAlma does not work. Click to share on Facebook (Opens in new window) Click to share on Reddit (Opens in new window) Click to share on Pinterest (Opens in new window) å°ææå
容以 TensorFlow SavedModel æ ¼å¼ï¼æè¾æ©ç Keras H5 æ ¼å¼ï¼ä¿åå°åä¸ªå½æ¡£ã. model = BERT_CLASS. where i is from 0 to N-1. AttributeError: 'dict' object has no attribute 'encode'. 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. So I'm trying to create a database and store data, that I get from django forms. Thanks for contributing an answer to Data Science Stack Exchange! CLASS torch.nn.DataParallel (module, device_ids=None, output_device=None, dim=0) å
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å«ä¸ä¸ªä¸»è¦çåæ°ï¼moduleï¼device_idsåoutput_deviceã. I am creating a pipeline of custom transformers and get this error: AttributeError: 'numpy.ndarray' object has no attribute 'fit'. recognizer. AttributeError: ' ArcGISProject ' object has no attribute ' defaultGeodatabase ' ". 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 itâs actually None. Software Development Forum . model = BERT_CLASS. Implements data parallelism at the module level. Whereas ⦠DataParallel. class torch.nn.DataParallel(module, device_ids=None, output_device=None, dim=0) [source] Implements data parallelism at the module level. 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). load_iris(), by default return an object which holds data, target and other members in it. Hi, from_pretrained appeared in an older version of the library. OK, here is the answer. é¦å
è¿æ¯ä¸ä¸ªå¾ç®åç è¿è¡æ¶é误 ï¼. Because, when wrapping up your model with DistributedDataParallel, the constructor of DistributedDataParallel will register the additional gradient reduction functions on all the parameters of the model itself at the time of construction. Need to load a pretrained model, such as VGG 16 in Pytorch. arcpy is your module object and python is telling you it has no "mp" attribute. æä»¬å°å¨ä¸é¢æ´è¯¦ç»å°æ¢è®¨å®ã. For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: âlistâ object has no attribute âsplitâ. ²ç»è¢«å°è£
è¿ç±»ä¼¼Distributed DataParallel çç±»éï¼æ¤modelé平常使ç¨çmodelï¼æä»¥å¯¼è´è°ç¨åå§modelç彿°æ¶ä¼åºç° object has no attribute â xxxx âçbugã 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. Simply finding ⦠always provide the same behavior no matter what the setting of 'UPLOADED_FILES_USE_URL': False|True. loading pretrained model pytorch. AttributeError: 'DataParallel' object has no attribute 'copy' æè
RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found It is the default when you use model.save (). How to Solve Python AttributeError: âlistâ object has no attribute âshapeâ. 7 ä¸ªè§£å³æ¹æ¡ å¨ä¸äºé¢è®ç»æ¨¡åçå è½½è¿ç¨ä¸ï¼åç°å¨è¿è¡forwardçè¿ç¨ä¸ï¼ä¼ç¢°å°dataparallel' object has no attributeçé®é¢ãæå°modelä¿¡æ¯ï¼å¯ä»¥çå°å
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å«å¨éé¢ã In the forward pass, the ⦠Also don't try to save torch.save(model.parameters(), filepath). How to fix it? Args: main_tag (string): The parent name for the tags tag_scalar_dict (dict): Key-value pair storing the tag and corresponding values global_step (int): Global step value to record ⦠ä¾ãã°ãAttributeError: âstrâ object has no attribute âsortâãã¨ããã¨ã©ã¼ãçºçããã¨ãã¾ãããã®ã¨ã©ã¼ãæãã¦ããã®ã¯ããstråã«ã¯sort颿°ãå®ç¾©ããã¦ãã¾ãããã¨ãããã¨ã§ãã ã¨ã©ã¼ã®ãµã³ãã«ã³ã¼ã1ï¼é¢æ°ï¼ Programming Forum . not. " You might be able to call the method on your model_dm.wv object instead, but I'm not sure. The output will clarify the same. 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: Have a question about this project? Go to the online courses page on Python to learn more about coding in Python for data science and machine learning. It has no impact on the use of the model, but is useful during debugging and support. RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. Many thanks. if the variable is of type list, then call the append method. In order to get actual values you have to read the data and target content itself.. As you could notice, we are using the loop module to parse the register.results and accessing the stderr of the register as item.stderr As we have a loop with the register, we will the stderr of each item.. Generally, check the type of object you are using before you call the lower() method. AttributeError: 'DataParallel' object has no attribute 'predict' í´ê²° ë°©ìì ë¤ìê³¼ ê°ì´ modelê³¼ predict ì¬ì´ì .moduleì ì¶ê° íì¬ ì½ë를 ìì íë©´ ëë¤. pr_mask = model.module.predict(x_tensor) pytorch loading model. def add_scalars (self, main_tag, tag_scalar_dict, global_step = None, walltime = None): "" "Adds many scalar data to summary. 91 3. AttributeError: âDataParallelâ object has no ⦠Django problem : "'tuple' object has no attribute 'save'" Home. from django import forms class LalaForm (forms.ModelForm): class Meta: model = Lala. This can be done by either setting CUDA_VISIBLE_DEVICES for every process or by calling: >>> torch.cuda.set_device(i) Copy to clipboard. åå åæï¼AttributeError: âDataParallelâ object has no attribute âsaveâ. Have a question about this project? AttributeError: 'int' object has no attribute 'save' Ask Question Asked 8 years ago. 2 comments Comments. For further reading on AttributeErrors involving the list object, go to the articles: How to Solve Python AttributeError: âlistâ object has no attribute âsplitâ. How to Solve Python AttributeError: âlistâ object has no attribute âshapeâ. I am trying to save the BART Seq2Seq model. DataParallel¶ class torch.nn. 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. For further reading on AttributeErrors, go to the article: How to Solve Python AttributeError: ânumpy.ndarrayâ object has no attribute âappendâ. When I tried to fine tuning my resnet module, and run the following code: AttributeError: âDataParallelâ object has no attribute âfcâ. OK, here is the answer. ç¸æ¯äºä¹åçDataparallelï¼æ°ç彿°æ´å ä¼é
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ç½®ç¨å¾®æç¹å°éº»ç¦ã. 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 itâs actually None. check whether model match the state dictionary 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. answered Jul 17, 2018 at 9:10. djstrong. News: 27/10/2018: Fix compatibility issues, Add tests, Add travis. AttributeError: 'DataParallel' object has no attribute 'copy' æè
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å«ä¸ä¸ªä¸»è¦çåæ°ï¼moduleï¼device_idsåoutput_deviceã. Solution 3. 1.åå§å. Otherwise you could look at the source and mimic the code to achieve the ⦠The recommended format is SavedModel. Hi everybody, Explain me please what I'm doing wrong. You can switch to the H5 format by: Passing save_format='h5' to save (). In order to get actual values you have to read the data and target content itself.. model = BERT_CLASS. News: 27/10/2018: Fix compatibility issues, Add tests, Add travis. Please be sure to answer the question.Provide details and share your research! ãé®é¢æ é¢ãï¼âDataParallelâ对象没æå±æ§âinit_hiddenâ(âDataParallelâ object has no attribute âinit_hiddenâ) ãå叿¶é´ãï¼2018-10-30 16:56:48 ãé®é¢æè¿°ãï¼ ææ³åçæ¯å¨æçèªå®ä¹ RNN ç±»ä¸ä½¿ç¨ DataParallelã Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 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). AttributeError: 'int' object has no attribute 'save' Ask Question Asked 8 years ago. æä¸æç½æçç¼ç æä»ä¹é®é¢!æå¾å°äºè¿ä¸ªé误:AttributeError:âlistâ对象没æå±æ§âsplitâã This is my code: è¿æ¯æç代ç : myList = ['hello'] myList.split() 2 ä¸ªè§£å³æ¹æ¡ 9. This ⦠AttributeError: 'DataParallel' object has no attribute 'copy' æè
RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found The example below will show how to check the type ⦠This can be done by either setting CUDA_VISIBLE_DEVICES for every process or by calling: >>> torch.cuda.set_device(i) Copy to clipboard. Here is the code for the same. When I tried to fine tuning my resnet module, and run the following code: AttributeError: âDataParallelâ object has no attribute âfcâ. ²è¢«è½¬æ¢æäºä¸ä¸ªå表ï¼å¯ç¨pd.Seriesåè½¬æ¢æä¸ç»´æ°ç»ç»æï¼å°±å¯ç¨values屿§ã. AttributeError: 'DataParallel' object has no attribute 'copy' æè
RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found Copy link SachinKalsi commented Jul 26, 2021. PSï¼excelè¿æ¯è¦ä¼ ï¼éæ°æå¼è¡¨æ ¼ï¼ä¸è½ç¨self.workbookï¼å¥æªçç¥è¯ã. Modified 7 years, 10 months ago. where i is from 0 to N-1. Asking for help, clarification, or responding to other answers. The model.parameters() is just the generator object. The recommended format is SavedModel. 9 Years Ago. But avoid â¦. If you are a member, please kindly clap. The first thing we need to do is transfer the parameters of our PyTorch model into its equivalent in Keras. AttributeError: 'list' object has no attribute 'strip' So if 'list' object has no attribute 'strip' or 'split', how can I split a list? Hi, from_pretrained appeared in an older version of the library. AttributeError: 'str' object has no attribute 'save' 778 0 2. It is the default when you use model.save (). I am a beginner. Please be sure to answer the question.Provide details and share your research! 9. é误åæï¼. 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. ä½ å°è¯è®¿é®ä¸ä¸ªä¸åå¨ç屿§ææ¹æ³ã. 91 3. load_iris(), by default return an object which holds data, target and other members in it. You will need the torch, torchvision and torchvision.models modules.. If you are a member, please kindly clap. å°workbook1.save (workbook1)æ¹å为workbook1.save (excel)å³å¯ã. Improve this answer. RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. Loading Google AI or OpenAI pre-trained weights or PyTorch dump. Improve this answer. RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found. 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 . 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. Modified 7 years, 10 months ago. Hi, I am trying to run my model on multiple GPUs for data parallelism but receiving this error: AttributeError: 'DataParallel' object has no attribute 'fc' I have defined the following pretrained model : def resnet50(num_classes, device): model = models.resnet50(pretrained=True) model = torch.nn.DataParallel(model) for p in â¦ å¨ pytorch å¤GPUè®ç»ä¸ï¼åå¨ æ´ä¸ªæ¨¡å ï¼ è䏿¯model.state_dict () ï¼ååè°ç¨æ¨¡åå¯è½ä¼éå°ä¸é¢çæ
åµï¼. 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. AttributeError:屿§é误ï¼é æè¿ç§é误çåå å¯è½æï¼. Configuration. Click to share on Facebook (Opens in new window) Click to share on Reddit (Opens in new window) Click to share on Pinterest (Opens in new window) 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. Parameters model = Net () model.fc model_parallel = nn.DataParallel (model) model_parallel.module.fc. AttributeError: 'AddAskForm' object has no attribute 'save' 287 1 1. è¿è¡pythonç¨åºåºç°ï¼AttributeError: 'list' object has no attribute 'item'ã è¿éä¸»è¦æ¯ææ¾ä¸å°æä¸ªåæ°ï¼æ¥çpythonçå
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ç½®ç¨å¾®æç¹å°éº»ç¦ã. AttributeError: 'DataParallel' object has no attribute 'predict' í´ê²° ë°©ìì ë¤ìê³¼ ê°ì´ modelê³¼ predict ì¬ì´ì .moduleì ì¶ê° íì¬ ì½ë를 ìì íë©´ ëë¤.