The analogy is Tensorflow 5-10 years ago. It is popular, and there are lots of material on it. You quickly learn from talking to people that due to whims, a collection of reasons, people's love of consensus that no one is recommending it; new people are not learning it. In this case, the Torch analogy is the Burn lib.
(disclosure: I am a contributor)
Before SPIR was a thing in OpenCL, Khronos could not understand why anyone would care about anything else other than C99, or why supporting Fortran on GPUs was at all relevant.
Secondly, from the competition only Intel cares about SYCL with their own sugar on top, OpenAPI.
AMD hasn't cared one second about it.
You may mention Codeplay, which is anyway an Intel owned company since 2022.
As for Vulkan, it doesn't have neither the features, nor the tooling that CUDA enjoys, it is the usual putting up with using LEGOs from different brands, with various pin sizes, that is so common with Khronos.