From 6b840d51437d3b23854bd9bed84cfb0d8976d079 Mon Sep 17 00:00:00 2001
From: wucong.lyb <wucong.lyb@alibaba-inc.com>
Date: 星期二, 04 七月 2023 17:17:06 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/main'

---
 funasr/build_utils/build_asr_model.py |   68 ++++++++++++++++++++++++++++++----
 1 files changed, 60 insertions(+), 8 deletions(-)

diff --git a/funasr/build_utils/build_asr_model.py b/funasr/build_utils/build_asr_model.py
index a76b204..6606d30 100644
--- a/funasr/build_utils/build_asr_model.py
+++ b/funasr/build_utils/build_asr_model.py
@@ -26,6 +26,7 @@
 from funasr.models.e2e_asr_mfcca import MFCCA
 
 from funasr.models.e2e_asr_transducer import TransducerModel, UnifiedTransducerModel
+from funasr.models.e2e_asr_bat import BATModel
 
 from funasr.models.e2e_sa_asr import SAASRModel
 from funasr.models.e2e_asr_paraformer import Paraformer, ParaformerOnline, ParaformerBert, BiCifParaformer, ContextualParaformer
@@ -46,7 +47,7 @@
 from funasr.models.frontend.wav_frontend import WavFrontend
 from funasr.models.frontend.windowing import SlidingWindow
 from funasr.models.joint_net.joint_network import JointNetwork
-from funasr.models.predictor.cif import CifPredictor, CifPredictorV2, CifPredictorV3
+from funasr.models.predictor.cif import CifPredictor, CifPredictorV2, CifPredictorV3, BATPredictor
 from funasr.models.specaug.specaug import SpecAug
 from funasr.models.specaug.specaug import SpecAugLFR
 from funasr.modules.subsampling import Conv1dSubsampling
@@ -99,7 +100,7 @@
         rnnt=TransducerModel,
         rnnt_unified=UnifiedTransducerModel,
         sa_asr=SAASRModel,
-
+        bat=BATModel,
     ),
     default="asr",
 )
@@ -188,6 +189,7 @@
         ctc_predictor=None,
         cif_predictor_v2=CifPredictorV2,
         cif_predictor_v3=CifPredictorV3,
+        bat_predictor=BATPredictor,
     ),
     default="cif_predictor",
     optional=True,
@@ -313,12 +315,15 @@
     encoder = encoder_class(input_size=input_size, **args.encoder_conf)
 
     # decoder
-    decoder_class = decoder_choices.get_class(args.decoder)
-    decoder = decoder_class(
-        vocab_size=vocab_size,
-        encoder_output_size=encoder.output_size(),
-        **args.decoder_conf,
-    )
+    if hasattr(args, "decoder") and args.decoder is not None:
+        decoder_class = decoder_choices.get_class(args.decoder)
+        decoder = decoder_class(
+            vocab_size=vocab_size,
+            encoder_output_size=encoder.output_size(),
+            **args.decoder_conf,
+        )
+    else:
+        decoder = None
 
     # ctc
     ctc = CTC(
@@ -463,6 +468,53 @@
             joint_network=joint_network,
             **args.model_conf,
         )
+    elif args.model == "bat":
+        # 5. Decoder
+        encoder_output_size = encoder.output_size()
+
+        rnnt_decoder_class = rnnt_decoder_choices.get_class(args.rnnt_decoder)
+        decoder = rnnt_decoder_class(
+            vocab_size,
+            **args.rnnt_decoder_conf,
+        )
+        decoder_output_size = decoder.output_size
+
+        if getattr(args, "decoder", None) is not None:
+            att_decoder_class = decoder_choices.get_class(args.decoder)
+
+            att_decoder = att_decoder_class(
+                vocab_size=vocab_size,
+                encoder_output_size=encoder_output_size,
+                **args.decoder_conf,
+            )
+        else:
+            att_decoder = None
+        # 6. Joint Network
+        joint_network = JointNetwork(
+            vocab_size,
+            encoder_output_size,
+            decoder_output_size,
+            **args.joint_network_conf,
+        )
+
+        predictor_class = predictor_choices.get_class(args.predictor)
+        predictor = predictor_class(**args.predictor_conf)
+
+        model_class = model_choices.get_class(args.model)
+        # 7. Build model
+        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,
+            predictor=predictor,
+            **args.model_conf,
+        )
     elif args.model == "sa_asr":
         asr_encoder_class = asr_encoder_choices.get_class(args.asr_encoder)
         asr_encoder = asr_encoder_class(input_size=input_size, **args.asr_encoder_conf)

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