From 41551bacf19135eeea43391fde6a6690f9486a11 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 16:26:56 +0900
Subject: [PATCH] from local

---
 .../.model.py.swp                             | Bin 28672 -> 28672 bytes
 .../.prompt_tuning.py.swp                     | Bin 94208 -> 94208 bytes
 .../prompt_tuning.py                          |   2 --
 3 files changed, 2 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp
index 6ea46cdcb81d00ad88e125531f6031fb9f46c633..d2c1d08265eb4b2e910149ad9aa937aba0dc89aa 100644
GIT binary patch
delta 33
ncmZp8z}WDBQ7p+I%+puFQqO<^2m}}y=5w2-h^*Qu_9`C$o-GMK

delta 33
ncmZp8z}WDBQ7p+I%+puFQqO<^2m}}yCUBdkyjZzW>{UJhqKXOw

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp
index 85f1188a3968c8c5261b13fcd8816e105ff2eb93..9b9b096ffe965dba6c3ad1142563f55c60b87875 100644
GIT binary patch
delta 329
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V*-W^!?S?B^HBPd`i7yA$qd&`%JbM5D

delta 344
zcmWO2F)ssg0EY4R)VVs*xJ3s`6O%-^wsYeP2$9q%Vo)bJ+K5=LNjnG@1}7o4nMe$+
ze?-`AVi8FPk&~L3jAHQ&zvNlpx0%?@#BTeZ6_~vD@;tm_NrjZ85h;kh<g~FjBt=+6
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diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
index afaec6557..472a284b4 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
@@ -995,7 +995,6 @@ def train_one_epoch(
     world_size: int = 1,
     rank: int = 0,
     wb = None,
-    prompt = None,
 ) -> None:
     """Train the model for one epoch.
 
@@ -1057,7 +1056,6 @@ def train_one_epoch(
                     batch=batch,
                     is_training=True,
                     decode = True if batch_idx % params.decode_interval == 0 else False,
-                    prompt=prompt,
                 )
 
             try: loss_info.reduce(loss.device)