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The article pretty clearly says ROCm OpenCL. As I understand, support is not all or nothing, so it's possible it works without being officially supported. However, I think you're correct we'll have to see what Phoronix and others report about the level of support and see what works.

https://www.phoronix.com/scan.php?page=article&item=amd-rx68...

> " While Radeon Open eCosystem (ROCm) support wasn't a focus for the initial Radeon RX 5000 "Navi" graphics cards by AMD engineers, that is fortunately changing for both the RX 5000/6000 series moving forward. "

Rocm seems to be supported, works with PlaidML, I wonder if PyTorch works ? That's the main framework I really need ..

Apparently not

https://github.com/RadeonOpenCompute/ROCm#hardware-and-softw...

The best way to get Pytorch working is to use the rocm provided docker images: https://hub.docker.com/r/rocm/pytorch. Unfortunately it doesn't seem like the latest GPUs are supported (yet?)

In addition to what the sibling comment said, OpenCL runs on the ROCm stack for RDNA1/2. That means all the low-level plumbing, drivers and software should be in place.