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Fix torch.jit.script() export for pruned_transducer_stateless2 (#1410)
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@ -49,6 +49,7 @@ from pathlib import Path
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import k2
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import torch
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from scaling_converter import convert_scaled_to_non_scaled
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from train import add_model_arguments, get_params, get_transducer_model
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from icefall.checkpoint import average_checkpoints, find_checkpoints, load_checkpoint
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@ -198,6 +199,7 @@ def main():
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model.eval()
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if params.jit:
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convert_scaled_to_non_scaled(model, inplace=True)
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# We won't use the forward() method of the model in C++, so just ignore
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# it here.
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# Otherwise, one of its arguments is a ragged tensor and is not
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egs/librispeech/ASR/pruned_transducer_stateless2/lstmp.py
Symbolic link
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egs/librispeech/ASR/pruned_transducer_stateless2/lstmp.py
Symbolic link
@ -0,0 +1 @@
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../lstm_transducer_stateless2/lstmp.py
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@ -0,0 +1 @@
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../pruned_transducer_stateless3/scaling_converter.py
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