From fbb80af5ec8b584cfcfe477c5bf57ca4d4bed9d0 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 25 Jan 2023 17:22:09 +0900
Subject: [PATCH] from local

---
 .../.train_adapter.py.swp                     | Bin 86016 -> 86016 bytes
 .../train_adapter.py                          |   1 +
 2 files changed, 1 insertion(+)

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 9ebe588f2ffbf7931c4343c3562de855e9a672c3..698100a2c807b549042d933e0283d58c289f57a1 100644
GIT binary patch
delta 223
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delta 212
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Q_%=Uzc#dWBnP(=M04Z22=>Px#

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 3cc7972aa..e63fe453e 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
@@ -1026,6 +1026,7 @@ def train_one_epoch(
     
         if batch_idx % params.accum_grads == 0: params.batch_idx_train += 1
         batch_size = len(batch["supervisions"]["text"])
+        print(batch_size)
 
         try:
             with torch.cuda.amp.autocast(enabled=params.use_fp16):