We are developing the Rust Machine Intelligence Framework Leaf[1] for which we created the portable High-Performance Computation Framework Collenchyma [2], which abstracts over CUDA, OpenCL and commen host CPU. Although we are ready to bring Machine Learning to OpenCL supported devices, the OpenCL ecosystem lacks the fundamental kernels, tooling and library that already exist for the CUDA ecosystem (e.g. cuDNN[3]). But we looking forward to support OpenCL, maybe SPIR-V accelerates the process.<p>[1]: <a href="https:&#x2F;&#x2F;github.com&#x2F;autumnai&#x2F;leaf" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;autumnai&#x2F;leaf</a><p>[2]: <a href="https:&#x2F;&#x2F;github.com&#x2F;autumnai&#x2F;collenchyma" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;autumnai&#x2F;collenchyma</a><p>[3]: <a href="https:&#x2F;&#x2F;developer.nvidia.com&#x2F;cudnn" rel="nofollow">https:&#x2F;&#x2F;developer.nvidia.com&#x2F;cudnn</a>