From 5052ca8bf03c178d9ae73cb68785cd4afb0144d2 Mon Sep 17 00:00:00 2001
From: 辰冢 <49506152+BruceLee569@users.noreply.github.com>
Date: 星期三, 12 二月 2025 16:13:08 +0800
Subject: [PATCH] Hotwords file needs to specify default utf-8 encoding. (#2379)

---
 funasr/bin/train_ds.py |   14 ++++++++++----
 1 files changed, 10 insertions(+), 4 deletions(-)

diff --git a/funasr/bin/train_ds.py b/funasr/bin/train_ds.py
index 6c0f174..b28752b 100644
--- a/funasr/bin/train_ds.py
+++ b/funasr/bin/train_ds.py
@@ -27,7 +27,7 @@
 from funasr.train_utils.trainer_ds import Trainer
 from funasr.schedulers import scheduler_classes
 from funasr.train_utils.initialize import initialize
-from funasr.download.download_from_hub import download_model
+from funasr.download.download_model_from_hub import download_model
 from funasr.models.lora.utils import mark_only_lora_as_trainable
 from funasr.train_utils.set_all_random_seed import set_all_random_seed
 from funasr.train_utils.load_pretrained_model import load_pretrained_model
@@ -81,7 +81,10 @@
         deepspeed.init_distributed(dist_backend=kwargs.get("backend", "nccl"))
     elif use_ddp or use_fsdp:
         logging.info(f"use_ddp: {use_ddp}, use_fsdp: {use_fsdp}")
-        dist.init_process_group(backend=kwargs.get("backend", "nccl"), init_method="env://")
+        dist.init_process_group(
+            backend=kwargs.get("backend", "nccl"),
+            init_method="env://",
+        )
         torch.cuda.set_device(local_rank)
 
     # rank = dist.get_rank()
@@ -131,7 +134,7 @@
         **kwargs.get("train_conf"),
     )
 
-    model = trainer.warp_model(model)
+    model = trainer.warp_model(model, **kwargs)
 
     kwargs["device"] = int(os.environ.get("LOCAL_RANK", 0))
     trainer.device = int(os.environ.get("LOCAL_RANK", 0))
@@ -181,7 +184,10 @@
             )
             trainer.start_step = 0
 
-            torch.cuda.empty_cache()
+            # device = next(model.parameters()).device
+            # if device.type == 'cuda':
+            #     with torch.cuda.device():
+            #         torch.cuda.empty_cache()
 
             time_escaped = (time.perf_counter() - time_slice_i) / 3600.0
             logging.info(

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