What is your question?
Is there a plan to support the tf32 type on hopper
In some scenarios, we hope to have higher precision and a wider range of numerical representation.
I see in the python/CuTeDSL/cutlass/utils/hopper helpers. Py "this directory make trivial tiled mma doesn't support TF32 type, It USES the "python/CuTeDSL/cutlass/express/nvgpu/warpgroup/mma. py" under the encapsulated mma OP. The content here seems not to allow users to develop. I noticed the balckwell has supported, hooper architecture on whether there is a support plan