From 4ba1011b42e041ee1d71448eefd7ef2e7bd61bb6 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 31 三月 2023 15:31:26 +0800
Subject: [PATCH] export
---
egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py b/egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py
index b37fc97..2f038a8 100644
--- a/egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py
+++ b/egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py
@@ -37,7 +37,7 @@
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")
- if text_in is not None:
+ if os.path.exists(text_in):
text_proc_file = os.path.join(decoding_path, "1best_recog/token")
compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
@@ -48,5 +48,5 @@
params["required_files"] = ["am.mvn", "decoding.yaml", "configuration.json"]
params["output_dir"] = "./checkpoint"
params["data_dir"] = "./data/test"
- params["decoding_model_name"] = "valid.cer_ctc.ave.pth"
+ params["decoding_model_name"] = "valid.cer_ctc.ave.pb"
modelscope_infer_after_finetune(params)
--
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