遇到CUDA runtime error code 1,即“an illegal memory access was encountered”错误时,通常意味着你的 CUDA 程序中存在非法的内存访问。这种错误可能由多种原因引起,以下是一些排查和解决问题的步骤: 检查CUDA设备是否正常工作: 确保你的 CUDA 设备(如 GPU)是可用的,并且驱动程序是最新的。你可以使用 nvidia-sm...
Hi! I'm trying to infer instances of my model on several gpu-cards. I use cudaSetDevice function in constructor of every instance. But when TensorRT inference start (even in single thread), I got the following mistake: [reformat.cu::operator()::1606] Error Code 1: Cuda Runtime (invalid...
[04/21/2023-18:11:05] [TRT] [E] 1: [defaultAllocator.cpp::nvinfer1::internal::DefaultAllocator::deallocate::42] Error Code 1: Cuda Runtime (invalid argument) 这个问题困扰我很久无法解决。我是用的环境是显卡驱动12.1 cuda11.7 tensorrt8.6 ...
Description a simple audio classifier model. First extracts Mel spectrogram with torchaudio on GPU. Second do the model inference on the same GPU, but get the wrong result. it is strange that if I extract the Mel spect…
This function will always return 1. [12/06/2022-14:28:27] [TRT] [E] 1: [reformat.cpp::genericReformat::executeCutensor::388] Error Code 1: CuTensor (Internal cuTensor permutate execute failed) [12/06/2022-14:28:27] [TRT] [E] 1: [checkMacros.cpp::nvinfer1::catchCudaError::202]...
[checkMacros.cpp::catchCudaError::272] Error Code 1: Cuda Runtime (CUDA driver is a stub library) i 've tried to search this error on google, however, i have not found some helpful information yet, it referred stub library, which really made me confused, so any h...
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RuntimeError: CUDA error: out of memory CUDAkernel errorsmight be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. 错误提示 很多时候并不是内存不够,因为使用的服务器中有多个GPU,可能该GPU正被别人使用,...
If I use device = torch.device("cuda:1"), I always got RuntimeError: CUDA error: an illegal memory access was encountered error. But when I set a specific gpu by torch.cuda.set_device(1), everything is fine. 之前一直没有尝试是因为,这个解决方案修改起来太麻烦,毕竟我不可能逐个的去修改...
RuntimeError: CUDA error: device-side assert triggered 运行时错误:CUDA设备端断言被触发。 这表明在GPU设备上执行的代码中有断言失败。断言是一种错误检查,如果代码中的某个条件为假,则会引发断言失败。 CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below ...