faster-whisper's `model.transcribe()` returns a lazy generator; ctranslate2
dlopens the CUDA runtime on the FIRST encode, which happens while the segments
are iterated in `_join_confident_segments()` — outside the try/except that
implements the CUDA → CPU fallback in `_transcribe_local`. On a host with an
NVIDIA driver but no CUDA runtime (Windows `cublas64_12.dll`, Linux
`libcublas.so.12`) the model loads fine, the error escapes the guard, and every
voice note fails with "Local transcription failed: Library cublas64_12.dll is
not found or cannot be loaded" until the user pins `stt.local.device: cpu`.
Materialize the segments inside the guarded block (first attempt and CPU retry)
so the dlopen failure reaches the existing evict-and-retry-on-CPU path.
Salvaged from #103848 by @Sahilvishnaliya (earliest fix of this class).
Trimmed during salvage: the `_CUDA_LIB_ERROR_MARKERS` additions (`cublas64_`,
`cudnn64_`, `cudart64_`) — the Windows message already matches the existing
"cannot be loaded" marker, proven by the live probe with the reporter's exact
string; the 6-test file was reduced to 2 invariant tests in the existing suite.
Fixes#111929Fixes#105295
Part of #103793 (the CPU fallback now fires; GPU-wheel install is separate)
Co-authored-by: atmaksri <sri.atmakur@gmail.com>
Co-authored-by: KoNit-K <124019182+KoNit-K@users.noreply.github.com>
Co-authored-by: isoenthusiast <287677567+isoenthusiast@users.noreply.github.com>
Sahil Vishnalya
afe9e25c57