Refactor comments and formatting in Qwen3 TTS configuration and modeling files for improved readability.

Signed-off-by: Taichang Zhou <tzhouam@connect.ust.hk>

vllm_omni/model_executor/models/qwen3_tts/configuration_qwen3_tts.py

@@ -504,10 +504,10 @@ class Qwen3TTSConfig(PretrainedConfig):
         self.tts_bos_token_id = tts_bos_token_id
         self.tts_eos_token_id = tts_eos_token_id
 
-        #TODO: remove these dummy values after 
-        self.image_token_id = 0 # dummy image token id
-        self.video_token_id = 0 # dummy video token id
-        self.vision_start_token_id = 0 # dummy vision start token id
+        # TODO: remove these dummy values after
+        self.image_token_id = 0  # dummy image token id
+        self.video_token_id = 0  # dummy video token id
+        self.vision_start_token_id = 0  # dummy vision start token id
         self.vision_config = PretrainedConfig()  # dummy vision config
         self.vision_config.spatial_merge_size = 1
 

vllm_omni/model_executor/models/qwen3_tts/modeling_qwen3_tts.py

@@ -428,6 +428,8 @@ def mel_spectrogram(
     mel_spec = dynamic_range_compression_torch(mel_spec)
 
     return mel_spec
+
+
 def _compute_default_rope_parameters(
     config,
     device,
@@ -443,6 +445,7 @@ def _compute_default_rope_parameters(
     inv_freq = 1.0 / (base ** (torch.arange(0, dim, 2, dtype=torch.int64).to(device=device, dtype=torch.float) / dim))
     return inv_freq, attention_factor
 
+
 class Qwen3TTSPreTrainedModel(PreTrainedModel):
     config_class = Qwen3TTSConfig
     base_model_prefix = "model"