From 51908aa976956a95a9d3b69600545a7a49097584 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Sat, 10 Dec 2022 14:56:47 +0900
Subject: [PATCH] from local

---
 .../.train.py.swp                             | Bin 110592 -> 110592 bytes
 .../train.py                                  |   1 +
 2 files changed, 1 insertion(+)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
index b559e71f506ab15f3063a58c822bd8572fad758d..1064bbe39a6887ae181502c5c283be7be5ea264e 100644
GIT binary patch
delta 335
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BL(>2N

delta 300
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diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
index ea57db442..2604a0fe2 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -838,6 +838,7 @@ def compute_loss(
         info["frames"] = (feature_lens // params.subsampling_factor).sum().item()
 
     # Note: We use reduction=sum while computing the loss.
+    info["utterances"] = feature.size(0)
     info["loss"] = loss.detach().cpu().item()
     info["simple_loss"] = simple_loss.detach().cpu().item()
     info["pruned_loss"] = pruned_loss.detach().cpu().item()