Sdpa dino v2 (#33403)

* add sdpa to dinov2

* fixup

* add dinov2 to sdpa doc

* update doc order

* [run-slow] dinov2

* common to eager

* [run-slow] dinov2

* update attn implementation in common

* update test_modeling_dinov2 to have mask_ration, num_masks and mask_length similar to vit

* [run-slow] dinov2

---------

Co-authored-by: Avishai Elmakies <avishai.elma@cs.huji.ac.il>

tests/models/dinov2/test_modeling_dinov2.py

@@ -65,6 +65,8 @@ class Dinov2ModelTester:
         type_sequence_label_size=10,
         initializer_range=0.02,
         scope=None,
+        attn_implementation="eager",
+        mask_ratio=0.5,
     ):
         self.parent = parent
         self.batch_size = batch_size
@@ -83,10 +85,14 @@ class Dinov2ModelTester:
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.scope = scope
+        self.attn_implementation = attn_implementation
+        self.mask_ratio = mask_ratio
 
         # in Dinov2, the seq length equals the number of patches + 1 (we add 1 for the [CLS] token)
         num_patches = (image_size // patch_size) ** 2
         self.seq_length = num_patches + 1
+        self.num_masks = int(self.mask_ratio * self.seq_length)
+        self.mask_length = num_patches
 
     def prepare_config_and_inputs(self):
         pixel_values = floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size])
@@ -113,6 +119,7 @@ class Dinov2ModelTester:
             attention_probs_dropout_prob=self.attention_probs_dropout_prob,
             is_decoder=False,
             initializer_range=self.initializer_range,
+            attn_implementation=self.attn_implementation,
         )
 
     def create_and_check_model(self, config, pixel_values, labels):