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fix: revert inference_batch_size for non-Paraformer models

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Conformer, Transformer, and Branchformer models raise
NotImplementedError for batch decoding. Only Paraformer and
e_paraformer support batch_size>1 for inference. Revert the
non-Paraformer recipes back to batch_size=1.
This commit is contained in:
游雁
2026-05-24 01:54:05 +08:00
parent 4f343aa2cc
commit ac7e3ee8a2
4 changed files with 4 additions and 4 deletions
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examples/aishell/branchformer/run.sh
+1 -1
View File
@@ -17,7 +17,7 @@ nj=32
inference_device="cuda" #"cpu"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32
inference_batch_size=1
# data
raw_data=../raw_data
examples/aishell/conformer/run.sh
+1 -1
View File
@@ -17,7 +17,7 @@ nj=32
inference_device="cuda" #"cpu", "cuda:0", "cuda:1"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32
inference_batch_size=1
# data
raw_data=../raw_data
examples/aishell/e_branchformer/run.sh
+1 -1
View File
@@ -17,7 +17,7 @@ nj=32
inference_device="cuda" #"cpu"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32
inference_batch_size=1
# data
raw_data=../raw_data
examples/aishell/transformer/run.sh
+1 -1
View File
@@ -17,7 +17,7 @@ nj=32
inference_device="cuda" #"cpu"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32
inference_batch_size=1
# data
raw_data=../raw_data