un 'experimental' the better target sequence preparation

vall_e/models/ar_nar.py

@@ -127,8 +127,11 @@ class AR_NAR(Base):
 				targ_list = [r[..., l] for r, l in zip(resps_list, quant_levels)] # ensures we only have 1 RVQ-bin (our target)
 				resps_list = [r if l == 0 else r[..., :l] for r, l in zip(resps_list, quant_levels)] # r[..., 0] is technically correct, but only r[:, 0] gets passed through the embedding
 				
+				"""
 				if cfg.experimental:
 					proms_list = [ r if l == 0 else trim(r, 75 * 3) for r, l in zip(proms_list, quant_levels) ] # trim input prompt to 3 seconds
+				"""
+				
 				# append stop tokens for AR
 				for i in range(batch_size):
 					if quant_levels[i] > 0: