From 19f4fae784210e85421ae2f8dcd0fbbd1eb2ad3e Mon Sep 17 00:00:00 2001
From: lingyunfly <121302812+lingyunfly@users.noreply.github.com>
Date: 星期四, 18 五月 2023 14:15:27 +0800
Subject: [PATCH] Update vad_inference_launch.py
---
funasr/tasks/asr.py | 59 +++++++++++++++++++++++++++++------------------------------
1 files changed, 29 insertions(+), 30 deletions(-)
diff --git a/funasr/tasks/asr.py b/funasr/tasks/asr.py
index 0bb0563..8e4f9cc 100644
--- a/funasr/tasks/asr.py
+++ b/funasr/tasks/asr.py
@@ -132,6 +132,8 @@
neatcontextual_paraformer=NeatContextualParaformer,
mfcca=MFCCA,
timestamp_prediction=TimestampPredictor,
+ rnnt=TransducerModel,
+ rnnt_unified=UnifiedTransducerModel,
),
type_check=FunASRModel,
default="asr",
@@ -222,6 +224,15 @@
),
type_check=RNNTDecoder,
default="rnnt",
+)
+
+joint_network_choices = ClassChoices(
+ name="joint_network",
+ classes=dict(
+ joint_network=JointNetwork,
+ ),
+ default="joint_network",
+ optional=True,
)
predictor_choices = ClassChoices(
@@ -353,7 +364,7 @@
help="The keyword arguments for CTC class.",
)
group.add_argument(
- "--joint_net_conf",
+ "--joint_network_conf",
action=NestedDictAction,
default=None,
help="The keyword arguments for joint network class.",
@@ -1444,7 +1455,7 @@
decoder_output_size = decoder.output_size
if getattr(args, "decoder", None) is not None:
- att_decoder_class = decoder_choices.get_class(args.att_decoder)
+ att_decoder_class = decoder_choices.get_class(args.decoder)
att_decoder = att_decoder_class(
vocab_size=vocab_size,
@@ -1462,35 +1473,23 @@
)
# 7. Build model
+ try:
+ model_class = model_choices.get_class(args.model)
+ except AttributeError:
+ model_class = model_choices.get_class("asr")
- if hasattr(encoder, 'unified_model_training') and encoder.unified_model_training:
- model = UnifiedTransducerModel(
- vocab_size=vocab_size,
- token_list=token_list,
- frontend=frontend,
- specaug=specaug,
- normalize=normalize,
- encoder=encoder,
- decoder=decoder,
- att_decoder=att_decoder,
- joint_network=joint_network,
- **args.model_conf,
- )
-
- else:
- model = TransducerModel(
- vocab_size=vocab_size,
- token_list=token_list,
- frontend=frontend,
- specaug=specaug,
- normalize=normalize,
- encoder=encoder,
- decoder=decoder,
- att_decoder=att_decoder,
- joint_network=joint_network,
- **args.model_conf,
- )
-
+ model = model_class(
+ vocab_size=vocab_size,
+ token_list=token_list,
+ frontend=frontend,
+ specaug=specaug,
+ normalize=normalize,
+ encoder=encoder,
+ decoder=decoder,
+ att_decoder=att_decoder,
+ joint_network=joint_network,
+ **args.model_conf,
+ )
# 8. Initialize model
if args.init is not None:
raise NotImplementedError(
--
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