fix vad cpu infer.sh batch=1

egs_modelscope/vad/TEMPLATE/infer.sh

@@ -9,7 +9,7 @@ stop_stage=2
 model="damo/speech_fsmn_vad_zh-cn-16k-common"
 data_dir="./data/test"
 output_dir="./results"
-batch_size=64
+batch_size=1
 gpu_inference=true    # whether to perform gpu decoding
 gpuid_list="0,1"    # set gpus, e.g., gpuid_list="0,1"
 njob=64    # the number of jobs for CPU decoding, if gpu_inference=false, use CPU decoding, please set njob

funasr/bin/vad_inference.py

@@ -274,8 +274,7 @@ def inference_modelscope(
     assert check_argument_types()
     if batch_size > 1:
         raise NotImplementedError("batch decoding is not implemented")
-    if ngpu > 1:
-        raise NotImplementedError("only single GPU decoding is supported")
+
 
     logging.basicConfig(
         level=log_level,
@@ -286,7 +285,7 @@ def inference_modelscope(
         device = "cuda"
     else:
         device = "cpu"
-
+        batch_size = 1
     # 1. Set random-seed
     set_all_random_seed(seed)
 
@@ -376,10 +375,7 @@ def inference_modelscope_online(
         **kwargs,
 ):
     assert check_argument_types()
-    if batch_size > 1:
-        raise NotImplementedError("batch decoding is not implemented")
-    if ngpu > 1:
-        raise NotImplementedError("only single GPU decoding is supported")
+
 
     logging.basicConfig(
         level=log_level,
@@ -390,6 +386,7 @@ def inference_modelscope_online(
         device = "cuda"
     else:
         device = "cpu"
+        batch_size = 1
 
     # 1. Set random-seed
     set_all_random_seed(seed)

funasr/bin/vad_inference_online.py

@@ -156,8 +156,6 @@ def inference_modelscope(
     
     if batch_size > 1:
         raise NotImplementedError("batch decoding is not implemented")
-    if ngpu > 1:
-        raise NotImplementedError("only single GPU decoding is supported")
 
     logging.basicConfig(
         level=log_level,
@@ -168,7 +166,7 @@ def inference_modelscope(
         device = "cuda"
     else:
         device = "cpu"
-
+        batch_size = 1
     # 1. Set random-seed
     set_all_random_seed(seed)