Repository: huggingface/transformers
Pull request: fix: access `rope_theta` correctly in `Llama4VisionRotaryEmbedding`

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Fixes #43276

`rope_theta` is no longer accessible via `config.rope_theta` in v5. It has been moved into `config.rope_parameters` dictionary.


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Changed files:
filename: src/transformers/models/llama4/modeling_llama4.py
patch: @@ -1006,7 +1006,7 @@ def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
 
 
 class Llama4VisionRotaryEmbedding(nn.Module):
-    def __init__(self, config):
+    def __init__(self, config: Llama4VisionConfig):
         super().__init__()
         idx = config.image_size // config.patch_size
         img_idx = torch.arange(idx**2, dtype=torch.int32).reshape(idx**2, 1)
@@ -1015,7 +1015,10 @@ def __init__(self, config):
         frequencies_x = img_idx % idx  # get the coordinates of the 2d matrix along x
         frequencies_y = img_idx // idx  # get the coordinates of the 2d matrix along y
         freq_dim = config.hidden_size // config.num_attention_heads // 2
-        rope_freq = 1.0 / (config.rope_theta ** (torch.arange(0, freq_dim, 2)[: (freq_dim // 2)].float() / freq_dim))
+        rope_freq = 1.0 / (
+            config.rope_parameters["rope_theta"]
+            ** (torch.arange(0, freq_dim, 2)[: (freq_dim // 2)].float() / freq_dim)
+        )
         freqs_x = ((frequencies_x + 1)[..., None] * rope_freq[None, None, :]).repeat_interleave(2, dim=-1)
         freqs_y = ((frequencies_y + 1)[..., None] * rope_freq[None, None, :]).repeat_interleave(2, dim=-1)
         freqs = torch.cat([freqs_x, freqs_y], dim=-1).float().contiguous()[..., ::2]