Mirrors test_distill_dmd.py's subprocess-torchrun pattern but points at
the new YAML entrypoint (fastvideo.train.entrypoint.train). Auto-skipped
when fewer than 2 CUDA devices are visible — the new TrainingMethod
framework's distributed barriers don't tolerate single-GPU bring-up.
On Buildkite the test fires under /test distillation; on GMI we can
run it directly with NUM_GPUS=2 NUM_NODES=1 pytest -v -k anyflow_smoke.
Enderfga
fd98371ad8