在ubuntu14.04上,我使用pytorch时发生了cudnn.This问题: File "main.py", line 58python2.7/site-packages/torch/nn/functional.py", line 119, in conv3dRuntimeError: CUDNN_STATUS_INTERN
我得到一个CUDNN_STATUS_INTERNAL_ERROR错误,如下所示。nn/modules/rnn.py", line 105, in flatten_parametersRuntimeError: CUDNN_STATUS_INTERNAL_ERROR
我应该怎样解决这个问题呢?torch.backends.cudnn.version():7102)
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当我尝试运行它时,我得到了以下错误消息: RuntimeError: CuDNNerror: CUDNN_STATUS_SUCCESS 代码使用pytorch 0.4.1。我已经安装了cuda。version.txt时,我得到了答案: CUDA Version 10.0.130 当我运行命令conda list -n <my env name>时,我看到: cudatoolkit ver 9.0
cudnn对于更新版本的cudnn,我需要使用pip install吗?如果是
运行ERROR (theano.gpuarray): CouldFile "/usr/local/lib/python3.5/dist-packages/theano/gpuarray/dnn.py", line 70, in _dnn_lib
raise RuntimeError('Could not f
This is probably because cuDNN failed to initialize, so try looking to see if a warning log message waspython3.7/dist-packages/keras/layers/convolutional.py:238)
Errors may
__version__) -- 1.7.1print(torch.backends.cudnn.enabled)=3, minor=5, total_memory=1998MB, multi_processor_count=1)
print(torch.tensor([1.0, 2.0]).cuda()) --RuntimeError: CUDA error: all CUDA-capable devices are busy or unavailab