针对您遇到的错误“failed to create cublas handle: cublas_status_not_initialized”,这是在使用NVIDIA的CUDA库中的cuBLAS组件时常见的错误,通常表示cuBLAS库未能正确初始化。以下是一些可能的解决步骤: 确认CUDA和cuBLAS库已正确安装: 确保您的系统上已经安装了合适版本的CUDA Toolkit。您可以通过在命令行运行nvcc -...
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when callingcublasCreate(handle) 通过nvidia-smi检查显存占用情况,虽然其他程序占用了部分显存,但是剩余显存应该足够运行此程序。通过排查,也不是batch size过大引起的错误。最终判断产生该错误的原因是无法同时运行多个pytorch程序。
torch.utils.data.DataLoader(train_dataset, batch_size=batch_size, shuffle=True, batch num_workers=nw)中的nw在windows中需设为零
return F.linear(input, self.weight, self.bias) RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling cublasCreate(handle) Member JustinLin610 commented Mar 9, 2024 No idea, and btw bf16 is not supported in V100 zwhancs commented May 23, 2024 我也有相同的问题 请问解决了吗...
错误记录: RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)`最后,发现是batch_size的值设置的太了,GPU没那么厉害,只好调小,程序能跑了。 loss 0.135, train ac…
This seems to possibly be an out-of-memory being masked by the CUBLAS_STATUS_NOT_INITIALIZED error. When I have low memory and ask for a new session for detection I hit this error, when I clear the gpu of other processes and free memory then I do not get the cublas error. Since by...
解决conda tensorflow failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED 参考解决方案1:https://stackoverflow.com/questions/38303974/tensorflow-running-error-with-cublas 参考解决方案2:https://github.com/tensorflow/tensorflow/issues/9489
首次运行tensorflow-gpu 1.0 报错 failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED,发现博客:于是找到解决方法。sudorm-rf~/.nv/
Tensorflow: failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED,在终端输入下面指令:sudorm-rf.nv/
Hi, I tried to add some other embeddings in your BertEmbedding source code and then load the pretrained weights 'bert-base-chinese'. When I run the forward method, I got the issue 'RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED ...