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Timing showed s3gen.inference (HiFiGAN vocoder) taking 22s and ref audio processing ~18s - both dominated by Conv1d ops hitting MIOpen fallback. With benchmark=False (default), PyTorch passes ptr=0 size=0 workspace to MIOpen causing GemmFwdRest to fail and fall back to a slow path every call. With benchmark=True, PyTorch evaluates convolution algorithms with proper workspace allocation and caches the best result via MIOPEN_USER_DB_PATH. First inference will be slower while benchmarking; subsequent calls use cache. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>