fix torch 2.x compatible issue

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13045011

* fix torch 2.x compatible issue

* fix torch 2.x compatible issue

* fix complex-valued input tensor matching the output from stft with return_complex=True.

* skip plugin test temporarily for modify torch version

* fix test_speech_signal_process.py compatible issue

* fix lint issue

* upgrade funasr to 0.6.5

modelscope/models/cv/face_detection/scrfd/mmdet_patch/core/post_processing/bbox_nms.py

@@ -54,7 +54,7 @@ def multiclass_nms(multi_bboxes,
     if score_factors is not None:
         scores = scores * score_factors[:, None]
 
-    labels = torch.arange(num_classes, dtype=torch.long)
+    labels = torch.arange(num_classes, dtype=torch.long, device=scores.device)
     labels = labels.view(1, -1).expand_as(scores)
 
     bboxes = bboxes.reshape(-1, 4)

modelscope/pipelines/audio/ans_dfsmn_pipeline.py

@@ -70,7 +70,8 @@ class ANSDFSMNPipeline(Pipeline):
                 HOP_LENGTH,
                 STFT_WIN_LEN,
                 center=False,
-                window=window)
+                window=window,
+                return_complex=False)
 
         def istft(x, slen):
             return librosa.istft(

modelscope/pipelines/audio/linear_aec_pipeline.py

@@ -82,18 +82,19 @@ class LinearAECPipeline(Pipeline):
         window = torch.hamming_window(winlen, periodic=False)
 
         def stft(x):
-            return torch.stft(
-                x,
-                n_fft,
-                hop_length,
-                winlen,
-                center=False,
-                window=window.to(x.device),
-                return_complex=False)
+            return torch.view_as_real(
+                torch.stft(
+                    x,
+                    n_fft,
+                    hop_length,
+                    winlen,
+                    center=False,
+                    window=window.to(x.device),
+                    return_complex=True))
 
         def istft(x, slen):
             return torch.istft(
-                x,
+                torch.view_as_complex(x),
                 n_fft,
                 hop_length,
                 winlen,

requirements/audio/audio_asr.txt

@@ -1 +1 @@
-funasr>=0.6.0
+funasr>=0.6.5

tests/cli/test_plugins_cmd.py

@@ -4,6 +4,7 @@ import unittest
 from modelscope.utils.plugins import PluginsManager
 
 
+@unittest.skipUnless(False, reason='For it modify torch version')
 class PluginsCMDTest(unittest.TestCase):
 
     def setUp(self):