Repo consistency fix after #33339 (#33873)

* Repo consistency fix after #33339

* [run-slow] omdet_turbo

src/transformers/models/omdet_turbo/modeling_omdet_turbo.py

@@ -418,29 +418,6 @@ def __init__(self, config: OmDetTurboConfig, num_heads: int, n_points: int):
 
         self.disable_custom_kernels = config.disable_custom_kernels
 
-        self._reset_parameters()
-
-    def _reset_parameters(self):
-        nn.init.constant_(self.sampling_offsets.weight.data, 0.0)
-        default_dtype = torch.get_default_dtype()
-        thetas = torch.arange(self.n_heads, dtype=torch.int64).to(default_dtype) * (2.0 * math.pi / self.n_heads)
-        grid_init = torch.stack([thetas.cos(), thetas.sin()], -1)
-        grid_init = (
-            (grid_init / grid_init.abs().max(-1, keepdim=True)[0])
-            .view(self.n_heads, 1, 1, 2)
-            .repeat(1, self.n_levels, self.n_points, 1)
-        )
-        for i in range(self.n_points):
-            grid_init[:, :, i, :] *= i + 1
-        with torch.no_grad():
-            self.sampling_offsets.bias = nn.Parameter(grid_init.view(-1))
-        nn.init.constant_(self.attention_weights.weight.data, 0.0)
-        nn.init.constant_(self.attention_weights.bias.data, 0.0)
-        nn.init.xavier_uniform_(self.value_proj.weight.data)
-        nn.init.constant_(self.value_proj.bias.data, 0.0)
-        nn.init.xavier_uniform_(self.output_proj.weight.data)
-        nn.init.constant_(self.output_proj.bias.data, 0.0)
-
     def with_pos_embed(self, tensor: torch.Tensor, position_embeddings: Optional[Tensor]):
         return tensor if position_embeddings is None else tensor + position_embeddings