make style

Signed-off-by: Issam Arabi <issam@cs.toronto.edu>

Author: issamarabi

optimum/bettertransformer/models/encoder_models.py

@@ -1251,16 +1251,8 @@ def __init__(self, detr_layer, config):
         self.norm_first = True
 
         self.original_layers_mapping = {
-            "in_proj_weight": [
-                "self_attn.q_proj.weight",
-                "self_attn.k_proj.weight",
-                "self_attn.v_proj.weight"
-                ],
-            "in_proj_bias": [
-                "self_attn.q_proj.bias",
-                "self_attn.k_proj.bias",
-                "self_attn.v_proj.bias"
-                ],
+            "in_proj_weight": ["self_attn.q_proj.weight", "self_attn.k_proj.weight", "self_attn.v_proj.weight"],
+            "in_proj_bias": ["self_attn.q_proj.bias", "self_attn.k_proj.bias", "self_attn.v_proj.bias"],
             "out_proj_weight": "self_attn.out_proj.weight",
             "out_proj_bias": "self_attn.out_proj.bias",
             "linear1_weight": "fc1.weight",
@@ -1272,7 +1264,7 @@ def __init__(self, detr_layer, config):
             "norm2_weight": "final_layer_norm.weight",
             "norm2_bias": "final_layer_norm.bias",
         }
-        
+
         self.validate_bettertransformer()
 
     def forward(self, hidden_states, attention_mask, output_attentions: bool, *_, **__):
@@ -1303,15 +1295,15 @@ def forward(self, hidden_states, attention_mask, output_attentions: bool, *_, **
                 self.linear2_bias,
                 attention_mask,
             )
-            
+
             if hidden_states.is_nested and self.is_last_layer:
                 hidden_states = hidden_states.to_padded_tensor(0.0)
-                
+
         else:
             raise NotImplementedError(
                 "Training and Autocast are not implemented for BetterTransformer + Detr. Please open an issue."
             )
-        
+
         return (hidden_states,)
 
 

tests/bettertransformer/test_vision.py

@@ -27,7 +27,18 @@ class BetterTransformersVisionTest(BetterTransformersTestMixin, unittest.TestCas
     r"""
     Testing suite for Vision Models - tests all the tests defined in `BetterTransformersTestMixin`
     """
-    SUPPORTED_ARCH = ["blip-2", "clip", "clip_text_model", "deit", "detr", "vilt", "vit", "vit_mae", "vit_msn", "yolos"]
+    SUPPORTED_ARCH = [
+        "blip-2",
+        "clip",
+        "clip_text_model",
+        "deit",
+        "detr",
+        "vilt",
+        "vit",
+        "vit_mae",
+        "vit_msn",
+        "yolos",
+    ]
 
     def prepare_inputs_for_class(self, model_id, model_type, batch_size=3, **preprocessor_kwargs):
         if model_type == "vilt":
@@ -56,7 +67,7 @@ def prepare_inputs_for_class(self, model_id, model_type, batch_size=3, **preproc
 
             if model_type == "blip-2":
                 inputs["decoder_input_ids"] = inputs["input_ids"]
-        
+
         elif model_type == "detr":
             # Assuming detr just needs an image
             url = "http://images.cocodataset.org/val2017/000000039769.jpg"