From b3fb4c0acd5f52a313f024b6f69b8f025c6eddfe Mon Sep 17 00:00:00 2001
From: ming030890 <67713085+ming030890@users.noreply.github.com>
Date: 星期二, 05 八月 2025 17:48:10 +0800
Subject: [PATCH] Allow one to set a custom progress callback (#2609)
---
tests/test_auto_model.py | 36 ++++++++++++++++++++++++++++++++++--
1 files changed, 34 insertions(+), 2 deletions(-)
diff --git a/tests/test_auto_model.py b/tests/test_auto_model.py
index 932376b..d17d9ab 100644
--- a/tests/test_auto_model.py
+++ b/tests/test_auto_model.py
@@ -22,7 +22,39 @@
kwargs["spk_kwargs"] = {"cb_kwargs": {"merge_thr": merge_thr}}
model = AutoModel(**kwargs)
self.assertEqual(model.cb_model.model_config['merge_thr'], merge_thr)
- # res = model.generate(input="/test.wav",
+ # res = model.generate(input="/test.wav",
# batch_size_s=300)
+
+ def test_progress_callback_called(self):
+ class DummyModel:
+ def __init__(self):
+ self.param = torch.nn.Parameter(torch.zeros(1))
+
+ def parameters(self):
+ return iter([self.param])
+
+ def eval(self):
+ pass
+
+ def inference(self, data_in=None, **kwargs):
+ results = [{"text": str(d)} for d in data_in]
+ return results, {"batch_data_time": 1}
+
+ am = AutoModel.__new__(AutoModel)
+ am.model = DummyModel()
+ am.kwargs = {"batch_size": 2, "disable_pbar": True}
+
+ progress = []
+
+ res = AutoModel.inference(
+ am,
+ ["a", "b", "c"],
+ progress_callback=lambda idx, total: progress.append((idx, total)),
+ )
+
+ self.assertEqual(len(progress), 2)
+ self.assertEqual(progress, [(2, 3), (3, 3)])
+
+
if __name__ == '__main__':
- unittest.main()
\ No newline at end of file
+ unittest.main()
--
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