removing debug log

egs/speech_llm/ASR_LLM/whisper_llm_zh/decode.py

@@ -134,7 +134,7 @@ def add_model_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--encoder-projector-ds-rate",
         type=int,
-        default=4,
+        default=1,
         help="Downsample rate for the encoder projector.",
     )
 
@@ -290,11 +290,6 @@ def decode_one_batch(
     {"role": "user", "content": f"{DEFAULT_SPEECH_TOKEN}请转写音频为文字"},
     {"role": "assistant", "content": ""},
     ]] * len(feature)
-    # messages = [[
-    # {"role": "system", "content": "你是一个能处理音频的助手。"},
-    # {"role": "user", "content": f"请转写音频为文字 {DEFAULT_SPEECH_TOKEN}"},
-    # {"role": "assistant", "content": ""},
-    # ]] * len(feature)
 
     input_ids, attention_mask = preprocess(
         messages, tokenizer, max_len=128
@@ -302,13 +297,7 @@ def decode_one_batch(
 
     generated_ids = model.decode(feature, input_ids.to(device, dtype=torch.long), attention_mask.to(device))
     hyps = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
-    hyps = tokenizer.batch_decode(generated_ids, skip_special_tokens=False)
-
-    print(hyps)
-    texts = batch["supervisions"]["text"]
-    for i, text in enumerate(texts):
-        print(f"ref: {text}")
-        print(f"hyp: {hyps[i]}")
+    
     return {"beam-search": hyps}