diff --git a/nodes/selva_bigvgan_trainer.py b/nodes/selva_bigvgan_trainer.py
index 01853bc..965d3ad 100644
--- a/nodes/selva_bigvgan_trainer.py
+++ b/nodes/selva_bigvgan_trainer.py
@@ -1161,11 +1161,13 @@ def _do_train(vocoder, mel_converter, clips,
 
             if mpd is not None and mrd is not None:
                 # Perceptual feature matching via frozen discriminators
+                # Discriminators are in model dtype (bfloat16); waveforms are float32
+                disc_dtype = next(mpd.parameters()).dtype
                 with torch.no_grad():
-                    fmaps_real_mpd = mpd(target_t)
-                    fmaps_real_mrd = mrd(target_t)
-                fmaps_gen_mpd = mpd(pred_t)
-                fmaps_gen_mrd = mrd(pred_t)
+                    fmaps_real_mpd = mpd(target_t.to(disc_dtype))
+                    fmaps_real_mrd = mrd(target_t.to(disc_dtype))
+                fmaps_gen_mpd = mpd(pred_t.to(disc_dtype))
+                fmaps_gen_mrd = mrd(pred_t.to(disc_dtype))
                 fm_loss = (
                     _feature_matching_loss(fmaps_real_mpd, fmaps_gen_mpd) +
                     _feature_matching_loss(fmaps_real_mrd, fmaps_gen_mrd)