update report file name

tests/test_app_models/test_funasr.py

@@ -13,7 +13,7 @@ def asr(get_platform):
         return FunAsrOv()
 
 
-def test_inference(asr):
+def test_funasr(asr):
     #TODO: 测试CER
     report = []
     for audio_file, text, duration in read_emilia(count_limit=20):
@@ -21,6 +21,6 @@ def test_inference(asr):
         audio = read_audio(audio_file)
         asr_text, time_cost = asr.transcribe(audio)
         report.append([audio_file,duration, text, asr_text, time_cost])
-    save_csv(REPORTS_DIR/"funasr.csv", ["audio", "duration", "ref", "asr", "time"], report)
+    save_csv(REPORTS_DIR/"test_funasr.csv", ["audio", "duration", "ref", "asr", "time"], report)
     speed=[i[4] for i in report]
     print("Funasr average speed: ", sum(speed)/len(speed))

tests/test_app_models/test_llm.py

@@ -17,7 +17,7 @@ def test_llm_zh(llm):
     for src in read_translation("zh", count_limit=None):
         dst, time_cost = llm.translate(src, src_lang="zh", dst_lang="en")
         report.append([src, dst, time_cost])
-    save_csv(REPORTS_DIR/"translation_zh.csv", ["src", "dst", "time"], report)
+    save_csv(REPORTS_DIR/"test_llm_zh.csv", ["src", "dst", "time"], report)
     speed = [i[2] for i in report]
     print("llm zh average speed: ", sum(speed) / len(speed))
         
@@ -26,6 +26,6 @@ def test_llm_en(llm):
     for src in read_translation("en", count_limit=None):
         dst, time_cost = llm.translate(src, src_lang="en", dst_lang="zh")
         report.append([src, dst, time_cost])
-    save_csv(REPORTS_DIR/"translation_en.csv", ["src", "dst", "time"], report)
+    save_csv(REPORTS_DIR/"test_llm_en.csv", ["src", "dst", "time"], report)
     speed = [i[2] for i in report]
     print("llm en average speed: ", sum(speed) / len(speed))

tests/test_app_models/test_tts.py

@@ -20,7 +20,7 @@ def test_tts_zh(tts):
     for text in read_translation("zh", count_limit=20):
         samples, sr, time_cost = tts.generate(text)
         report.append([text, time_cost])
-    save_csv(REPORTS_DIR / "tts_zh.csv", ["text", "time"], report)
+    save_csv(REPORTS_DIR / "test_tts_zh.csv", ["text", "time"], report)
     speed = [i[1] for i in report]
     print("tts zh average speed: ", sum(speed) / len(speed))
 
@@ -31,6 +31,6 @@ def test_tts_en(tts):
     for text in read_translation("en",count_limit=20):
         samples, sr, time_cost = tts.generate(text, speed=1.4)
         report.append([text, time_cost])
-    save_csv(REPORTS_DIR / "tts_en.csv", ["text", "time"], report)
+    save_csv(REPORTS_DIR / "test_tts_en.csv", ["text", "time"], report)
     speed = [i[1] for i in report]
     print("tts en average speed: ", sum(speed) / len(speed))

tests/test_app_models/test_whisper.py

@@ -12,7 +12,7 @@ def whisper(get_platform):
         from lib.models.intel.whisper import WhisperOv
         return WhisperOv()
 
-def test_inference(whisper):
+def test_whisper(whisper):
     #TODO: 测试CER
     report = []
     for audio_file, text, duration in read_emilia(count_limit=20):
@@ -20,6 +20,6 @@ def test_inference(whisper):
         audio = read_audio(audio_file)
         asr_text, time_cost = whisper.transcribe(audio, "zh")
         report.append([audio_file,duration, text, asr_text, time_cost])
-    save_csv(REPORTS_DIR/"whisper.csv", ["audio", "duration", "ref", "asr", "time"], report)
+    save_csv(REPORTS_DIR/"test_whisper.csv", ["audio", "duration", "ref", "asr", "time"], report)
     speed = [i[4] for i in report]
     print("Whisper average speed: ", sum(speed) / len(speed))