Fix torch.jit.script() export for pruned_transducer_stateless2

egs/librispeech/ASR/pruned_transducer_stateless2/export.py

@@ -49,6 +49,7 @@ from pathlib import Path
 
 import k2
 import torch
+from scaling_converter import convert_scaled_to_non_scaled
 from train import add_model_arguments, get_params, get_transducer_model
 
 from icefall.checkpoint import average_checkpoints, find_checkpoints, load_checkpoint
@@ -198,6 +199,7 @@ def main():
     model.eval()
 
     if params.jit:
+        convert_scaled_to_non_scaled(model, inplace=True)
         # We won't use the forward() method of the model in C++, so just ignore
         # it here.
         # Otherwise, one of its arguments is a ragged tensor and is not

egs/librispeech/ASR/pruned_transducer_stateless2/lstmp.py

@@ -0,0 +1 @@
+../lstm_transducer_stateless2/lstmp.py

egs/librispeech/ASR/pruned_transducer_stateless2/scaling_converter.py

@@ -0,0 +1 @@
+../pruned_transducer_stateless3/scaling_converter.py