完美解决-RuntimeError: CUDA error: device-side assert triggered 2020-08-26 2020-08-26 14:10:42 阅读 3.8K 0 网上的解决方案意思是对的，但并没有给出相应的实际解决方法：

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今天在跑模型的时候突然出现如下报错： RuntimeError: CUDA error: device-side assert trigger 断言部分的报错是： Assertion `srcIndex < srcSelectDimSize` failed on GPU for `torch.cat()` 在这个问题上浪费了超多时间，首先遇到此类CUDA报错，一定要先将CUDA功能关闭 2018-11-20 2020-11-21 是这样的，在跑fasterrcnn的时候，要把原模型21个类别改为自己的类别数目，第一次改过后运行没有报错，第二次再修改就报错了，错误如下 1 block: [0,0,0], thread: [16, 在调试模型时出现RuntimeError: CUDA error: device-side assert triggered的错误，经过查找资料，发现是我的label数据是1-37的，在把label数据调整为0-36后，不再报错. 问题主要是标签数据要从0开始，否则就会报出RuntimeError: CUDA error: device-side assert triggered的错误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 #11366 opened Apr 21, 2021 by abb4s Index out of range in self with fine-tuned DPR Context Encoder 完美解决-RuntimeError: CUDA error: device-side assert triggered 网上的解决方案意思是对的，但并没有给出相应的实际解决方法：问题描述： 100% Best Unlimited Private Proxies: Fast, Cheap and Secure. USA Private Proxy Servers – Buy Now! Menu and widgets Requesting more shared memory per block than the device supports will trigger this error, as will requesting too many threads or blocks. See cudaDeviceProp for more device limitations. cudaErrorInvalidDevice 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 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 . In that scenario, when a device-side assert is triggered, cuda-memcheck will report the source code line number where the assert is, and also the assert itself and the condition that was false.

2019-11-14 2019-09-01 Tony-Y January 9, 2019, 4:44am #3. 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. 2019-11-12 Pytorch stepped on the pit: RuntimeError: cuda runtime error (59): device-side assert triggered at /home/tv/pytorch.

RuntimeError: CUDA error: device-side assert triggered. When I freshly train the Token Classification model (DistilBertForTokenClassification) and run a prediction for a single sentence that I manually type out, it runs We’re getting a RuntimeError: CUDA error: device-side assert triggered when using unet_learner when invoking the unet_learner and can’t figure out why.

RuntimeError: CUDA error: device-side assert triggered. as the "repl_targets" are the targets using the -100 as the index for masked (padded) tokens. RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)` hot 26. Windows:

An error generates specific information Cookie Duration Description; cookielawinfo-checbox-analytics: 11 months: This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". I tried to replace the ‘quant’ dataset output which is generated based on notebook ExtractTTSpectrogram.ipynb with fatchord wavernn data preprocess quant output, based on preprocess.py.

RuntimeError: transform: failed to synchronize: cudaErrorAssert: device-side assert triggered. Tryint to train the bert . data_test[100] (array([ 2, 4681, 6085, 6139

Full stack trace: 33%| | 226/677 [01:38<02:55, 2.58it/s] RuntimeError: CUDA error: device-side assert triggered /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [62,0,0], thread: [96,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" Tony-Y January 9, 2019, 4:44am #3.

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. When I freshly train the Token Classification model (DistilBertForTokenClassification) and run a prediction for a single sentence that I manually type out, it runs We’re getting a RuntimeError: CUDA error: device-side assert triggered when using unet_learner when invoking the unet_learner and can’t figure out why. A Stackoverflow answer says that: In general, when encountering cuda runtine error s, it is advisable to run your program again using the CUDA_LAUNCH_BLOCKING=1 flag to obtain an accurate stack trace 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。 Training network error reporting: RuntimeError: cuda runtime error (710) : Device – side assert triggered the at/pytorch aten/SRC/THC/generic/THCTensorScatterGather x = (x - u) / torch.sqrt(s + self.variance_epsilon) RuntimeError: CUDA error: device-side assert triggered 原则，不要去怀疑底层库的东西，那都是别人测试了很多遍的东西。出现这个错误，一般是embedding不匹配。 RuntimeError: CUDA error: device - side assert triggered.
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the terminate called after throwing an instance of ‘c10: : Error’ I : CUDA Error: device-side assert triggered (insert_events at /pytorch/c10/cuda/CUDACachingAllocator.cpp:569) Reason: The label is out of line Method: Input. CUDA_LAUNCH_BLOCKING=1 python train.py. An error generates specific information Cookie Duration Description; cookielawinfo-checbox-analytics: 11 months: This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".

it is File "", line 110, in , , beam = decoder.generate_beam(encoded, len1, beam_size=beam_size, length_penalty=1.0, early_stopping=1, max_len=200) pytorch runtime error(59):device-side assert triggered at XXX这篇则是关于词表（Embedding层）设置出错导致了这个bug 上一篇：怎么查询一个期刊是否是SCI、EI期刊源？ ----- RuntimeError Traceback (most recent call last) in () 1 loss = torch.nn.functional.cross_entropy(activations, labels) 2 average = loss/4 ----> 3 print(average.item()) RuntimeError: cuda runtime error (59) : device-side assert triggered at /home/tv/pytorch/pytorch/aten/src/THC/generic/THCStorage.cpp:36 RuntimeError: CUDA error: device-side assert triggered.
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是这样的，在跑fasterrcnn的时候，要把原模型21个类别改为自己的类别数目，第一次改过后运行没有报错，第二次再修改就报错了，错误如下 1 block: [0,0,0], thread: [16,

Is there no way to recover from `RuntimeError: CUDA error: device-side assert triggered` within exception-handling, like reloading a module or anything? The thing is: I have huge datasets and I need to create vectors out of them.