Internal changes.

PiperOrigin-RevId: 624328298

mediapipe/tasks/python/genai/converter/llm_converter.py

@@ -38,6 +38,12 @@ class ConversionConfig(object):
       activation overflow issue when running in 16-bit floating point mode. To
       solve this, we need to scale down the weights of certain layers. See
       go/llm-on-device-fp16 for more detailed explanation.
+    lora_rank: An integer representing the rank of LoRA. If not provided, then
+      the converter assumes there is no LoRA weights. Note that only the GPU
+      backend supports LoRA.
+    lora_output_tflite_file: A string indicating the name of the generated
+      tflite file for the LoRA weight. Only applicable when the lora_rank is not
+      zero.
   """
 
   def __init__(
@@ -55,6 +61,8 @@ def __init__(
       vocab_model_file: str = '',
       output_tflite_file: Optional[str] = None,
       fp16_scale: Optional[float] = None,
+      lora_rank: Optional[int] = None,
+      lora_output_tflite_file: Optional[str] = None,
   ):
     self.input_ckpt = input_ckpt
     self.ckpt_format = ckpt_format
@@ -142,10 +150,14 @@ def combined_weight_bins_to_tflite(
     weight_path: str,
     output_tflite_file: str,
     vocab_model_file: str,
+    lora_rank: Optional[int] = None,
+    lora_weight_path: Optional[str] = None,
+    lora_output_tflite_file: Optional[str] = None,
 ):
   """Combines weight files to tflite file."""
-  # TODO: Figure out whether to clean up the weight files after this.
   if backend == 'cpu':
+    if lora_rank is not None:
+      logging.fatal('LoRA is not supported for CPU backend.')
     model_ckpt_util.GenerateCpuTfLite(
         model_type,
         weight_path,
@@ -160,6 +172,9 @@ def combined_weight_bins_to_tflite(
         vocab_model_file,
         True,
         output_tflite_file,
+        0 if lora_rank is None else lora_rank,
+        '' if lora_weight_path is None else lora_weight_path,
+        '' if lora_output_tflite_file is None else lora_output_tflite_file,
     )
   else:
     raise ValueError('Unsupported backend: %s' % backend)
@@ -251,4 +266,7 @@ def convert_checkpoint(config: ConversionConfig) -> None:
       weight_path=config.output_dir,
       output_tflite_file=config.output_tflite_file,
       vocab_model_file=vocab_model_path,
+      lora_rank=config.lora_rank,
+      lora_weight_path=config.output_dir,
+      lora_output_tflite_file=config.lora_output_tflite_file,
   )