From d80ac2fd2df4e7fb8a28acfa512bb11472b5cc99 Mon Sep 17 00:00:00 2001
From: liugz18 <57401541+liugz18@users.noreply.github.com>
Date: 星期四, 18 七月 2024 21:34:55 +0800
Subject: [PATCH] Rename 'res' in line 514 to avoid with naming conflict with line 365

---
 funasr/auto/auto_frontend.py |   67 +++++++++++++++++++--------------
 1 files changed, 39 insertions(+), 28 deletions(-)

diff --git a/funasr/auto/auto_frontend.py b/funasr/auto/auto_frontend.py
index b802b83..562d5f8 100644
--- a/funasr/auto/auto_frontend.py
+++ b/funasr/auto/auto_frontend.py
@@ -19,7 +19,7 @@
 from funasr.download.file import download_from_url
 from funasr.auto.auto_model import prepare_data_iterator
 from funasr.utils.timestamp_tools import timestamp_sentence
-from funasr.download.download_from_hub import download_model
+from funasr.download.download_model_from_hub import download_model
 from funasr.utils.vad_utils import slice_padding_audio_samples
 from funasr.train_utils.set_all_random_seed import set_all_random_seed
 from funasr.train_utils.load_pretrained_model import load_pretrained_model
@@ -33,7 +33,7 @@
         if "model_conf" not in kwargs:
             logging.info("download models from model hub: {}".format(kwargs.get("hub", "ms")))
             kwargs = download_model(**kwargs)
-        
+
         # build frontend
         frontend = kwargs.get("frontend", None)
         if frontend is not None:
@@ -45,25 +45,23 @@
             del kwargs["frontend"]
         self.kwargs = kwargs
 
-    
     def __call__(self, input, input_len=None, kwargs=None, **cfg):
-        
+
         kwargs = self.kwargs if kwargs is None else kwargs
         kwargs.update(cfg)
 
-
         key_list, data_list = prepare_data_iterator(input, input_len=input_len)
         batch_size = kwargs.get("batch_size", 1)
-        device = kwargs.get("device", "cpu")
+        device = kwargs.get("device", "cuda")
         if device == "cpu":
             batch_size = 1
-        
+
         meta_data = {}
-        
+
         result_list = []
         num_samples = len(data_list)
-        pbar = tqdm(colour="blue", total=num_samples + 1, dynamic_ncols=True)
-        
+        # pbar = tqdm(colour="blue", total=num_samples + 1, dynamic_ncols=True)
+
         time0 = time.perf_counter()
         for beg_idx in range(0, num_samples, batch_size):
             end_idx = min(num_samples, beg_idx + batch_size)
@@ -72,27 +70,40 @@
 
             # extract fbank feats
             time1 = time.perf_counter()
-            audio_sample_list = load_audio_text_image_video(data_batch, fs=self.frontend.fs, audio_fs=kwargs.get("fs", 16000))
+            audio_sample_list = load_audio_text_image_video(
+                data_batch, fs=self.frontend.fs, audio_fs=kwargs.get("fs", 16000)
+            )
             time2 = time.perf_counter()
             meta_data["load_data"] = f"{time2 - time1:0.3f}"
-            speech, speech_lengths = extract_fbank(audio_sample_list, data_type=kwargs.get("data_type", "sound"),
-                                                   frontend=self.frontend, **kwargs)
+            speech, speech_lengths = extract_fbank(
+                audio_sample_list,
+                data_type=kwargs.get("data_type", "sound"),
+                frontend=self.frontend,
+                **kwargs,
+            )
             time3 = time.perf_counter()
             meta_data["extract_feat"] = f"{time3 - time2:0.3f}"
-            meta_data["batch_data_time"] = speech_lengths.sum().item() * self.frontend.frame_shift * self.frontend.lfr_n / 1000
-            
-            speech.to(device=device), speech_lengths.to(device=device)
-            batch = {"input": speech, "input_len": speech_lengths, "key": key_batch}
-            result_list.append(batch)
-            
-            pbar.update(1)
-            description = (
-                f"{meta_data}, "
+            meta_data["batch_data_time"] = (
+                speech_lengths.sum().item() * self.frontend.frame_shift * self.frontend.lfr_n / 1000
             )
-            pbar.set_description(description)
-        
-        time_end = time.perf_counter()
-        pbar.set_description(f"time escaped total: {time_end - time0:0.3f}")
-        
-        return result_list
 
+            if kwargs.get("return_pt", True):
+                speech, speech_lengths = speech.to(device=device), speech_lengths.to(device=device)
+            else:
+                speech, speech_lengths = speech.numpy(), speech_lengths.numpy()
+            batch = {
+                "input": speech,
+                "input_len": speech_lengths,
+                "key": key_batch,
+                "data_type": "fbank",
+            }
+            result_list.append(batch)
+
+            # pbar.update(1)
+            # description = f"{meta_data}, "
+            # pbar.set_description(description)
+
+        time_end = time.perf_counter()
+        # pbar.set_description(f"time escaped total: {time_end - time0:0.3f}")
+
+        return result_list

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