On H100 with BF16 mixed precision enabled, Candle's comparison ops (gt,
lt, le, ge) and arithmetic ops require matching dtypes. F32 threshold
constants compared against BF16 state tensors caused every training step
to fail with "dtype mismatch in cmp, lhs: BF16, rhs: F32".
Fixes:
- regime_conditional.rs: ADX/CUSUM thresholds cast to adx.dtype()
- quantile_regression.rs: Huber kappa, zero, and half tensors match
input dtype (both quantile_huber_loss variants)
- rainbow_network.rs: LeakyReLU slope and ELU alpha/one tensors cast
to x.dtype()
- continuous_ppo.rs: Huber delta/half tensors cast to abs_diff.dtype()
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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