RuntimeError: GET was unable to find an engine to execute this computation

[ptrblck]

@tbergeron

I assume, the version of PyTorch should be compatible with the version of the drivers installed on the host machine. I double checked all versions and made sure they were compatible in between each others. I’m probably missing out on something

That’s right. You would need to use a properly installed NVIDIA driver, but don’t need a locally installed CUDA toolkit or cuDNN, since these are shipped as dependencies in the PyTorch binaries.
Your locally installed CUDA toolkit (including cuDNN) would be used if you build PyTorch from source or custom CUDA extensions.

@tbergeron

So basically it means that my version of PyTorch is wrong and I’d need a version that’s compatible with the drivers only?

No, it means that your locally installed CUDA toolkit and cuDNN conflicts with the PyTorch binaries. Either rebuild PyTorch from source if you explicitly want to use this CUDA toolkit and cuDNN, or delete them (or remove them from the LD_LIBRARY_PATH).