From 4bfcfd7f13e34da6e25a38c77f1c3de7b138696a Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 22 四月 2025 09:53:18 +0800
Subject: [PATCH] Update README_zh.md

---
 funasr/auto/auto_model.py |   16 ++++++++++++----
 1 files changed, 12 insertions(+), 4 deletions(-)

diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index ec4e420..10d2ef6 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -147,7 +147,9 @@
         # if spk_model is not None, build spk model else None
         spk_model = kwargs.get("spk_model", None)
         spk_kwargs = {} if kwargs.get("spk_kwargs", {}) is None else kwargs.get("spk_kwargs", {})
-        cb_kwargs = {} if spk_kwargs.get("cb_kwargs", {}) is None else spk_kwargs.get("cb_kwargs", {})
+        cb_kwargs = (
+            {} if spk_kwargs.get("cb_kwargs", {}) is None else spk_kwargs.get("cb_kwargs", {})
+        )
         if spk_model is not None:
             logging.info("Building SPK model.")
             spk_kwargs["model"] = spk_model
@@ -180,7 +182,10 @@
         set_all_random_seed(kwargs.get("seed", 0))
 
         device = kwargs.get("device", "cuda")
-        if not torch.cuda.is_available() or kwargs.get("ngpu", 1) == 0:
+        if ((device =="cuda" and not torch.cuda.is_available())
+            or (device == "xpu" and not torch.xpu.is_available())
+            or (device == "mps" and not torch.backends.mps.is_available())
+            or kwargs.get("ngpu", 1) == 0):
             device = "cpu"
             kwargs["batch_size"] = 1
         kwargs["device"] = device
@@ -366,8 +371,11 @@
         if pbar:
             # pbar.update(1)
             pbar.set_description(f"rtf_avg: {time_escape_total/time_speech_total:0.3f}")
-        with torch.cuda.device(next(model.parameters()).device):
-            torch.cuda.empty_cache()
+
+        device = next(model.parameters()).device
+        if device.type == "cuda":
+            with torch.cuda.device(device):
+                torch.cuda.empty_cache()
         return asr_result_list
 
     def inference_with_vad(self, input, input_len=None, **cfg):

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