From 95c3d5b8548b7dd8b8132fb7a653f537784b23e2 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 14:15:44 +0900
Subject: [PATCH] from local

---
 .../.train_adapter.py.swp                     | Bin 77824 -> 81920 bytes
 .../train_adapter.py                          |  21 +++++++++++++-----
 2 files changed, 15 insertions(+), 6 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index 40c595ef9c86c438b273687c616b1abb191c826d..695b64d9f02218d67476b7c5975b902a4f5543c1 100644
GIT binary patch
delta 683
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zh_VOGqCi^(xey)UiHq6<(;_HnBjmyeBAXGkogwHy6M;()e4KOc<y<&7vuR{9{_x${
z&Axso9*qeR5(yUC6N^jX?Vvi9^MwLR^|)Hwx~_ChwEs);B3G~TwabpN6Zqk0s*-c2
zdpsRdbt+xz4^D`D!W%rtLyRGUKg?|48$3Kk7doM^Ziu|a7}{_Njc7nU_I)DX@g6Uc
z!Yy>;tWPdW4MjD6SBPw370+-VgXlvH8kN{k-cPL}{?pEpn3|X_ckW_m*lV`c`kC~d
z1dCRQ6j56E|9^Z9imc!<CNO|rw86x7t;h!~U>0f2AdU(Y10n_FF^7I!hsG~cWDPT>
z3`;k~HMF7y5t!Jm5&4V-WH5{yxQIqH;BU3a9zJ3ok1&ecxQg?zQLM@-<KU$GZr1d6
zwR&Q>uj5VGSC+Eeov4vrwp6%W<SlifTof&3yI(qt$jEeReA4N1?u{psqtQfih}<kk
VzSK!R7)qw5t{nHptj|{G4grn6eqI0o

delta 281
zcmXBOze@sf9LDj_$GeM$%=?mdq02Q|5<)Ic{g@PT2@F~zXbJoe?3T8c!=W*8bt;FG
zhSu7`#i`*22T`M%q$c0t121@nXLy3Z31T~QQ9P^G{PJE=h$}LjlrHO!na`A(p5-Q0
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Pnse^I4%9@xr}5ST{xvhb

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
index 44bc45337..ef48c720e 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
@@ -913,12 +913,21 @@ def compute_loss(
     if decode:
         model.eval()
         with torch.no_grad():
-            hypos = model.module.decode(
-                x=feature,
-                x_lens=feature_lens,
-                y=y,
-                sp=sp
-            )
+            try:
+                hypos = model.module.decode(
+                    x=feature,
+                    x_lens=feature_lens,
+                    y=y,
+                    sp=sp
+                )
+            except:
+                hypos = model.decode(
+                    x=feature,
+                    x_lens=feature_lens,
+                    y=y,
+                    sp=sp
+                )
+
             logging.info(f'ref: {batch["supervisions"]["text"][0]}')
             logging.info(f'hyp: {" ".join(hypos[0])}')
         model.train()