今天我在使用 PyTorch 搭建一個簡單的分類器時，我遇到了這樣的問題："RuntimeError: CUDA error: device-side assert triggered"。經過查詢，這應該是我的模型所決定的預測神經元數量跟實際資料的 Label 數量不一致造成的。

2019年6月27日 RuntimeError: CUDA error: device-side assert triggered /opt/conda/conda-bld/ pytorch_1549628766161/wo.

RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/torch/lib/THC/generic/THCStorage.c:36. Hi, First thing is to try to run the code on CPU. CPU code has more checks so it will possibly return a better error message. RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/aten/src/THCUNN/generic/ClassNLLCriterion.cu:110. My labels start from 0. As per what you said earlier, my labels are in the range of 0-14, what can be the issue ? @ptrblck RuntimeError: CUDA error: device-side assert triggered, Programmer Sought, the best programmer technical posts sharing site. 6.

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CUDA error: device- side assert triggered for BERT Multi Class Classification #31247. b_labels  generic/THCTensorMathPointwise.cu line=265 error=59 : device-side assert triggered Traceback (most recent call last): File 'main.py', line 109,  cfg/yolov4-obj.cfg yolov4-obj_last.weights CUDA-version: 11000 (11000), RuntimeError: reduce failed to synchronize: device-side assert triggered hot 9. 20 feb. 2020 — InvalidArgumentError: assertion failed: [0] [Op:Assert] name: jupyter notebook RuntimeError: This event loop is already running · clarifai 2.6.2 requires This is usually caused by a missing library or dependency. open '//data.trie' · error running `xcrun simctl list devices --json`: you may need to run sudo  Podcast: Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and When you run your code with cuda-memcheck, it will tend to run much more slowly, but the runtime error reporting will be enhanced. It is also usually preferable to compile your code with -lineinfo .

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Tryint to train the bert . data_test[100] (array([ 2, 4681, 6085, 6139 THCudaCheck FAIL file=/pytorch/aten/src/THC/generated/../generic/THCTensorMathPointwise.cu line=266 error=59 : device-side assert triggered Traceback (most recent call last): File "examples/bert_pku_seg.py", line 89, in train() File "examples/bert_pku_seg.py", line 48, in train trainer.train(SAVE_DIR) File "/data/home/liuyang/dlab/dlab/process/trainer.py", line 61, in train after_batch_iter_hook=train_step_hook) File "/data/home/liuyang/dlab/dlab/process/common.py", line 49, in data 在进行二分类的时候的确是将标签映射成了，但是在进行4分类的时候，标签却映射成了，因此就会报错：runtimeerror: cuda error:device-side assert triggered我们可以这样打印下相关的输出：from torch.autograd import variable#load_fzdataset是自己定义的读取数据的函数，其返回的是 报错 RuntimeError: cuda runtime error (59) : device-side assert triggered at /py/conda-bld/pytorch_ 这个在跑UCF101时候遇到了，其实报错写的很 本文章向大家介绍完美解决-RuntimeError: CUDA error: device-side assert triggered，主要包括完美解决-RuntimeError: CUDA error: device-side assert triggered使用实例、应用技巧、基本知识点总结和需要注意事项，具有一定的参考价值，需要的朋友可以参考一下。 RuntimeError: CUDA error: device-side assert triggered 该Error是在pytorch框架下出现的，其原因是样本的label种类大于了代码所设置的类别数。 建议将类别数调到与label种类数相等或略大于label类数。 Reduce failed to synchronize: device-side assert triggered .（一个在中文里很难找到解决方案的问题） RuntimeError: transform: failed to synchronize: cudaErrorIllegalAddress: an illegal memory access; RuntimeError:CUDA device-side assert triggered; RuntimeError: CUDA error: device-side assert triggered runtimeerror: cuda error: device-side assert triggered bert reduce failed to synchronize: device-side assert triggered model.to(device) device-side assert triggered reduce failed to synchronize: cudaerrorassert: device-side assert triggered runtimeerror: cuda error: cublas_status_alloc_failed when calling `cublascreate(handle)` assertion `t >= 0 && t < n_classes` failed.

Podcast: Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and

pytorch / By Sadman Jahan. Also, it is not triggered at a fixed place in the code but at a random place each time, when a torch has to be loaded to cuda.

For example, BCELoss requires its input to be  2020年3月29日 今天我在使用PyTorch 搭建一個簡單的分類器時，我遇到了這樣的問題：" RuntimeError: CUDA error: device-side assert triggered"。經過查詢，  由于本人现在是在从事深度学习有关的学习，在学习的过程中往往会遇见一些bug ，现在分享一下我遇见cuda error:device-side assert triggered问题的解决办法，  2021年4月3日 训练模型报错. RuntimeError: cuda runtime error (710) : device-side assert triggered at /pytorch/aten/src/THC/generic/THCTensorMath.cu:29  2020年5月11日 这个错误整了我一天时间，所以特此记录一下，如果大家也碰到希望能够避雷！！ ！这个错误是在运行PyTorch代码出错，我碰到的原因是神经  【踩坑】RuntimeError: CUDA error: device-side assert triggered.
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> Training cuda runtime error (59) : device-side assert triggered. 1 Sep 2019 I am trying to run this python code on my local machine: line=69 error=59 : device-side assert triggered Traceback (most recent call last): File  Am I correct that when this error is thrown, I can basically reload python? Is there no way to recover from `RuntimeError: CUDA error: device-side assert triggered`   23 Sep 2020 “RuntimeError: CUDA error: device-side assert triggered” in Pytorch error messaged suggested, it is raised by an assertion from a CUDA  Ask questionsRuntimeError: CUDA error: device-side assert triggered when custom_loss(pred, y_batch.to(device)) preds.append(outputs.cpu().numpy())  18 Apr 2019 Cuda runtime error (59) : device-side assert triggered at /pytorch/aten/src/THC/ THCCachingHostAllocator.cpp:265.

I was using Transformers for Multilingual Text Classification problem i stated here my friend suggested me to use XLM-Roberta for the task.so i used XLMRobertaTokenizer but when choosing model i choosed bert-base-multilingual-cased to reduce the model size but i was getting this error:-. RuntimeError: CUDA error: device-side assert triggered.
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RuntimeError: CUDA error: device-side assert triggered, Programmer Sought, the best programmer technical posts sharing site.

However, since we have e_space != e_t.unsqueeze(1) , it should guarantee that e_t is not masked and the model can select it. Hence what you have identified might not be the right cause. RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/torch/lib/THC/generic/THCStorage.c:36. Hi, First thing is to try to run the code on CPU. CPU code has more checks so it will possibly return a better error message.