From bb21cd357035e2a1d4e3a682d686ebbc278572f1 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 26 Dec 2022 13:42:31 +0900
Subject: [PATCH] from local

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

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 2c58d569726622118241c66e0ea9f4b0074de19d..5a6692769abc4cf5feea571d6487382ce5f5b91e 100644
GIT binary patch
delta 398
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delta 375
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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 f5471e72c..b6dcb8b66 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -1495,7 +1495,7 @@ def run_adapter(rank, world_size, args, wb=None):
     logging.info("About to create model")
     model = get_transducer_model(params)
 
-    num_param = sum([p.numel() for p in model.parameters()])
+    num_param = sum([p.numel() if p.requires_grad else 0 for p in model.parameters()])
     logging.info(f"Number of model parameters: {num_param}")
 
     assert params.save_every_n >= params.average_period