Flute
2025-10-01 fa9a6cdb1eade68c258eed7297f5a8a8a5329ac6
funasr/bin/train.py
@@ -221,10 +221,10 @@
            )
            trainer.start_step = 0
            # device = next(model.parameters()).device
            # if device.type == 'cuda':
            #     with torch.cuda.device():
            #         torch.cuda.empty_cache()
            device = next(model.parameters()).device
            if device.type == "cuda":
                with torch.cuda.device(device):
                    torch.cuda.empty_cache()
            time_escaped = (time.perf_counter() - time_slice_i) / 3600.0
            logging.info(