I used onnx2keras tag v0.0.5, tensorflow-gpu 1.14.0 cuda 10.0.when i run ,i got the error 'tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version'.If i used twnsorflow-gpu==1.13.1 is ok.
But if i used pytorch2keras is ok on tensorflow 1.14.0.why?what is different?
I used onnx2keras tag v0.0.5, tensorflow-gpu 1.14.0 cuda 10.0.when i run ,i got the error 'tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version'.If i used twnsorflow-gpu==1.13.1 is ok. But if i used pytorch2keras is ok on tensorflow 1.14.0.why?what is different?