Re-Format

Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>

Author: quic-akuruvil

QEfficient/base/modeling_qeff.py

@@ -400,7 +400,7 @@ def _compile(
 
         if mdp_ts_json_path := compiler_options.pop("mdp_load_partition_config", None):
             command.append(f"-mdp-load-partition-config={mdp_ts_json_path}")
-      
+
         for key, value in compiler_options.items():
             option = "-" + key.replace("_", "-")
             if isinstance(value, bool):

QEfficient/transformers/models/gemma3/modeling_gemma3.py

@@ -687,7 +687,7 @@ def get_npi_file(self, model_name: str, **compiler_options):
                 f"For Model {self.pretrained_model_name_or_path} default NPI file is not supported/added. Please use one of the following: google/gemma-3-4b-it, google/gemma-3-27b-it"
             )
         return compiler_options
-    
+
     def get_specializations(
         self,
         batch_size: int,

QEfficient/transformers/models/modeling_auto.py

@@ -1178,7 +1178,7 @@ def compile(
             self.export(
                 use_onnx_subfunctions=use_onnx_subfunctions,
             )
-            
+
         # TODO this hould be removed once the continous batching is supported for all the models.
         compiler_options.pop("continuous_batching", None)
         compiler_options.pop("kv_cache_batch_size", None)
@@ -1197,11 +1197,11 @@ def compile(
                 use_onnx_subfunctions=use_onnx_subfunctions,
                 **compiler_options,
             )
-            
-         # Custom NPI file options
+
+        # Custom NPI file options
         if hasattr(self.model, "get_npi_file"):
             compiler_options = self.model.get_npi_file(self.model.name_or_path)
-            
+
         if not skip_lang:
             custom_io_lang = {}
             # Inputs
@@ -1802,7 +1802,7 @@ def compile(
             img_size=img_size,
             **compiler_options,
         )
-        
+
         if hasattr(self.model, "get_npi_file"):
             compiler_options = self.model.get_npi_file(self.model.name_or_path)
 

QEfficient/utils/constants.py

@@ -29,10 +29,20 @@
 
 # Gemma3 Constant
 DEFAULT_GEMMA3_4B_NODE_PRECISION_INFO = str(
-    Path(__file__).resolve().parent.parent / "transformers" / "models" / "gemma3" / "configs" / "fp32_nodes_gemma3_4b.yaml"
+    Path(__file__).resolve().parent.parent
+    / "transformers"
+    / "models"
+    / "gemma3"
+    / "configs"
+    / "fp32_nodes_gemma3_4b.yaml"
 )
 DEFAULT_GEMMA3_27B_NODE_PRECISION_INFO = str(
-    Path(__file__).resolve().parent.parent / "transformers" / "models" / "gemma3" / "configs" / "fp32_nodes_gemma3_27b.yaml"
+    Path(__file__).resolve().parent.parent
+    / "transformers"
+    / "models"
+    / "gemma3"
+    / "configs"
+    / "fp32_nodes_gemma3_27b.yaml"
 )
 # Compiler defaults
 DEFAULT_AIC_NUM_CORES = 16