From 9be8a443d74d68f179de88fff13b4e8424579d7b Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 10 三月 2023 18:24:39 +0800
Subject: [PATCH] Merge pull request #207 from alibaba-damo-academy/dev_dzh
---
egs/callhome/diarization/sond/unit_test.py | 97 ++++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 97 insertions(+), 0 deletions(-)
diff --git a/egs/callhome/diarization/sond/unit_test.py b/egs/callhome/diarization/sond/unit_test.py
new file mode 100644
index 0000000..519ac56
--- /dev/null
+++ b/egs/callhome/diarization/sond/unit_test.py
@@ -0,0 +1,97 @@
+from funasr.bin.diar_inference_launch import inference_launch
+import os
+
+
+def test_fbank_cpu_infer():
+ diar_config_path = "sond_fbank.yaml"
+ diar_model_path = "sond.pth"
+ output_dir = "./outputs"
+ data_path_and_name_and_type = [
+ ("data/unit_test/test_feats.scp", "speech", "kaldi_ark"),
+ ("data/unit_test/test_profile.scp", "profile", "kaldi_ark"),
+ ]
+ pipeline = inference_launch(
+ mode="sond",
+ diar_train_config=diar_config_path,
+ diar_model_file=diar_model_path,
+ output_dir=output_dir,
+ num_workers=0,
+ log_level="INFO",
+ )
+ results = pipeline(data_path_and_name_and_type)
+ print(results)
+
+
+def test_fbank_gpu_infer():
+ diar_config_path = "sond_fbank.yaml"
+ diar_model_path = "sond.pth"
+ output_dir = "./outputs"
+ data_path_and_name_and_type = [
+ ("data/unit_test/test_feats.scp", "speech", "kaldi_ark"),
+ ("data/unit_test/test_profile.scp", "profile", "kaldi_ark"),
+ ]
+ pipeline = inference_launch(
+ mode="sond",
+ diar_train_config=diar_config_path,
+ diar_model_file=diar_model_path,
+ output_dir=output_dir,
+ ngpu=1,
+ num_workers=1,
+ log_level="INFO",
+ )
+ results = pipeline(data_path_and_name_and_type)
+ print(results)
+
+
+def test_wav_gpu_infer():
+ diar_config_path = "config.yaml"
+ diar_model_path = "sond.pth"
+ output_dir = "./outputs"
+ data_path_and_name_and_type = [
+ ("data/unit_test/test_wav.scp", "speech", "sound"),
+ ("data/unit_test/test_profile.scp", "profile", "kaldi_ark"),
+ ]
+ pipeline = inference_launch(
+ mode="sond",
+ diar_train_config=diar_config_path,
+ diar_model_file=diar_model_path,
+ output_dir=output_dir,
+ ngpu=1,
+ num_workers=1,
+ log_level="WARNING",
+ )
+ results = pipeline(data_path_and_name_and_type)
+ print(results)
+
+
+def test_without_profile_gpu_infer():
+ diar_config_path = "config.yaml"
+ diar_model_path = "sond.pth"
+ output_dir = "./outputs"
+ raw_inputs = [[
+ "data/unit_test/raw_inputs/record.wav",
+ "data/unit_test/raw_inputs/spk1.wav",
+ "data/unit_test/raw_inputs/spk2.wav",
+ "data/unit_test/raw_inputs/spk3.wav",
+ "data/unit_test/raw_inputs/spk4.wav"
+ ]]
+ pipeline = inference_launch(
+ mode="sond_demo",
+ diar_train_config=diar_config_path,
+ diar_model_file=diar_model_path,
+ output_dir=output_dir,
+ ngpu=1,
+ num_workers=1,
+ log_level="WARNING",
+ param_dict={},
+ )
+ results = pipeline(raw_inputs=raw_inputs)
+ print(results)
+
+
+if __name__ == '__main__':
+ os.environ["CUDA_VISIBLE_DEVICES"] = "7"
+ test_fbank_cpu_infer()
+ # test_fbank_gpu_infer()
+ # test_wav_gpu_infer()
+ # test_without_profile_gpu_infer()
--
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