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[dev-fp16] Only convert T3 to fp16, leave s3gen/ve in fp32
s3gen.speaker_encoder (CAMPPlus xvector) hardcodes float32 inputs in
its inference() method, causing dtype mismatch when weights are fp16.
T3 (the autoregressive GPT-2-medium LLM) has no such constraint and
is the token-generation bottleneck that benefits most from fp16.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 20:41:24 -04:00
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