fix fp16 for inference.py

inference.py

@@ -357,15 +357,15 @@ def main(args):
         chunk_cond = cond[:, processed_frames:processed_frames + max_source_window]
         is_last_chunk = processed_frames + max_source_window >= cond.size(1)
         cat_condition = torch.cat([prompt_condition, chunk_cond], dim=1)
-        with torch.autocast(device_type=device.type, dtype=torch.float16):
+        with torch.autocast(device_type=device.type, dtype=torch.float16 if fp16 else torch.float32):
             # Voice Conversion
             vc_target = model.cfm.inference(cat_condition,
                                                        torch.LongTensor([cat_condition.size(1)]).to(mel2.device),
                                                        mel2, style2, None, diffusion_steps,
                                                        inference_cfg_rate=inference_cfg_rate)
             vc_target = vc_target[:, :, mel2.size(-1):]
-            vc_wave = vocoder_fn(vc_target).squeeze()
-            vc_wave = vc_wave[None, :]
+        vc_wave = vocoder_fn(vc_target.float()).squeeze()
+        vc_wave = vc_wave[None, :]
         if processed_frames == 0:
             if is_last_chunk:
                 output_wave = vc_wave[0].cpu().numpy()