From c20c871e9f963151fa410dd616c6b23d001ecdd2 Mon Sep 17 00:00:00 2001
From: Xian Shi <40013335+R1ckShi@users.noreply.github.com>
Date: 星期二, 04 七月 2023 19:57:04 +0800
Subject: [PATCH] Merge pull request #673 from alibaba-damo-academy/dev_clas

---
 funasr/bin/asr_inference_launch.py |   13 +++----------
 1 files changed, 3 insertions(+), 10 deletions(-)

diff --git a/funasr/bin/asr_inference_launch.py b/funasr/bin/asr_inference_launch.py
index 026874e..a752f29 100644
--- a/funasr/bin/asr_inference_launch.py
+++ b/funasr/bin/asr_inference_launch.py
@@ -21,7 +21,6 @@
 import torchaudio
 import soundfile
 import yaml
-from typeguard import check_argument_types
 
 from funasr.bin.asr_infer import Speech2Text
 from funasr.bin.asr_infer import Speech2TextMFCCA
@@ -80,7 +79,6 @@
         param_dict: dict = None,
         **kwargs,
 ):
-    assert check_argument_types()
     ncpu = kwargs.get("ncpu", 1)
     torch.set_num_threads(ncpu)
     if batch_size > 1:
@@ -240,7 +238,6 @@
         param_dict: dict = None,
         **kwargs,
 ):
-    assert check_argument_types()
     ncpu = kwargs.get("ncpu", 1)
     torch.set_num_threads(ncpu)
 
@@ -293,7 +290,7 @@
         penalty=penalty,
         nbest=nbest,
         hotword_list_or_file=hotword_list_or_file,
-        clas_sacle=clas_scale,
+        clas_scale=clas_scale,
     )
 
     speech2text = Speech2TextParaformer(**speech2text_kwargs)
@@ -483,7 +480,6 @@
         param_dict: dict = None,
         **kwargs,
 ):
-    assert check_argument_types()
     ncpu = kwargs.get("ncpu", 1)
     torch.set_num_threads(ncpu)
 
@@ -751,7 +747,6 @@
         param_dict: dict = None,
         **kwargs,
 ):
-    assert check_argument_types()
 
     if word_lm_train_config is not None:
         raise NotImplementedError("Word LM is not implemented")
@@ -959,7 +954,6 @@
         param_dict: dict = None,
         **kwargs,
 ):
-    assert check_argument_types()
     ncpu = kwargs.get("ncpu", 1)
     torch.set_num_threads(ncpu)
     if batch_size > 1:
@@ -1128,7 +1122,6 @@
         param_dict: dict = None,
         **kwargs,
 ):
-    assert check_argument_types()
     ncpu = kwargs.get("ncpu", 1)
     torch.set_num_threads(ncpu)
     if batch_size > 1:
@@ -1316,7 +1309,6 @@
         right_context: Number of frames in right context AFTER subsampling.
         display_partial_hypotheses: Whether to display partial hypotheses.
     """
-    assert check_argument_types()
 
     if batch_size > 1:
         raise NotImplementedError("batch decoding is not implemented")
@@ -1466,7 +1458,6 @@
         param_dict: dict = None,
         **kwargs,
 ):
-    assert check_argument_types()
     if batch_size > 1:
         raise NotImplementedError("batch decoding is not implemented")
     if word_lm_train_config is not None:
@@ -1615,6 +1606,8 @@
         return inference_mfcca(**kwargs)
     elif mode == "rnnt":
         return inference_transducer(**kwargs)
+    elif mode == "bat":
+        return inference_transducer(**kwargs)
     elif mode == "sa_asr":
         return inference_sa_asr(**kwargs)
     else:

--
Gitblit v1.9.1