From 39de3adfbc12bc491f6da9eb9ffdc5122a3f623d Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 16:39:15 +0800
Subject: [PATCH] test

---
 funasr/auto/auto_model.py |   13 ++++---------
 1 files changed, 4 insertions(+), 9 deletions(-)

diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index 60aeb16..ba7dcab 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -141,7 +141,7 @@
             kwargs = download_model(**kwargs)
         
         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:
             device = "cpu"
@@ -161,19 +161,18 @@
             vocab_size = len(tokenizer.token_list)
         else:
             vocab_size = -1
-        
         # build frontend
         frontend = kwargs.get("frontend", None)
+
         if frontend is not None:
             frontend_class = tables.frontend_classes.get(frontend)
             frontend = frontend_class(**kwargs["frontend_conf"])
             kwargs["frontend"] = frontend
             kwargs["input_size"] = frontend.output_size()
-        
+
         # build model
         model_class = tables.model_classes.get(kwargs["model"])
         model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size)
-        
         model.to(device)
         
         # init_param
@@ -209,14 +208,12 @@
         kwargs.update(cfg)
         model = self.model if model is None else model
         model.eval()
-        pdb.set_trace()
 
         batch_size = kwargs.get("batch_size", 1)
         # if kwargs.get("device", "cpu") == "cpu":
         #     batch_size = 1
         
         key_list, data_list = prepare_data_iterator(input, input_len=input_len, data_type=kwargs.get("data_type", None), key=key)
-        pdb.set_trace()
 
         speed_stats = {}
         asr_result_list = []
@@ -225,14 +222,12 @@
         pbar = tqdm(colour="blue", total=num_samples, dynamic_ncols=True) if not disable_pbar else None
         time_speech_total = 0.0
         time_escape_total = 0.0
-        pdb.set_trace()
         for beg_idx in range(0, num_samples, batch_size):
-            pdb.set_trace()
             end_idx = min(num_samples, beg_idx + batch_size)
             data_batch = data_list[beg_idx:end_idx]
             key_batch = key_list[beg_idx:end_idx]
             batch = {"data_in": data_batch, "key": key_batch}
-            pdb.set_trace()
+
             if (end_idx - beg_idx) == 1 and kwargs.get("data_type", None) == "fbank": # fbank
                 batch["data_in"] = data_batch[0]
                 batch["data_lengths"] = input_len

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