Repository: huggingface/transformers
Pull request: Fix idefics3 vision embeddings indices dtype

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We detected idefics3 encountered correctness issue in v4.55.2 on vLLM's CI (https://buildkite.com/vllm/ci/builds/27592/steps/canvas?sid=0198c2ab-eb37-4710-9b18-a31547f79ef5)
- `h_indices` and `w_indices` should be in float dtype instead of int, otherwise it will result incorrect `fractional_coords` calculation.


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Changed files:
filename: src/transformers/models/idefics2/modeling_idefics2.py
patch: @@ -152,8 +152,8 @@ def forward(self, pixel_values: torch.FloatTensor, patch_attention_mask: torch.B
             nb_patches_h = p_attn_mask[:, 0].sum()
             nb_patches_w = p_attn_mask[0].sum()
 
-            h_indices = torch.arange(nb_patches_h, device=position_ids.device, dtype=position_ids.dtype)
-            w_indices = torch.arange(nb_patches_w, device=position_ids.device, dtype=position_ids.dtype)
+            h_indices = torch.arange(nb_patches_h, device=position_ids.device, dtype=pixel_values.dtype)
+            w_indices = torch.arange(nb_patches_w, device=position_ids.device, dtype=pixel_values.dtype)
 
             fractional_coords_h = h_indices / nb_patches_h * (1 - 1e-6)
             fractional_coords_w = w_indices / nb_patches_w * (1 - 1e-6)

filename: src/transformers/models/idefics3/modeling_idefics3.py
patch: @@ -151,8 +151,8 @@ def forward(self, pixel_values: torch.FloatTensor, patch_attention_mask: torch.B
             nb_patches_h = p_attn_mask[:, 0].sum()
             nb_patches_w = p_attn_mask[0].sum()
 
-            h_indices = torch.arange(nb_patches_h, device=position_ids.device, dtype=position_ids.dtype)
-            w_indices = torch.arange(nb_patches_w, device=position_ids.device, dtype=position_ids.dtype)
+            h_indices = torch.arange(nb_patches_h, device=position_ids.device, dtype=pixel_values.dtype)
+            w_indices = torch.arange(nb_patches_w, device=position_ids.device, dtype=pixel_values.dtype)
 
             fractional_coords_h = h_indices / nb_patches_h * (1 - 1e-6)
             fractional_coords_w = w_indices / nb_patches_w * (1 - 1e-6)

filename: src/transformers/models/smolvlm/modeling_smolvlm.py
patch: @@ -146,8 +146,8 @@ def forward(self, pixel_values: torch.FloatTensor, patch_attention_mask: torch.B
             nb_patches_h = p_attn_mask[:, 0].sum()
             nb_patches_w = p_attn_mask[0].sum()
 
-            h_indices = torch.arange(nb_patches_h, device=position_ids.device, dtype=position_ids.dtype)
-            w_indices = torch.arange(nb_patches_w, device=position_ids.device, dtype=position_ids.dtype)
+            h_indices = torch.arange(nb_patches_h, device=position_ids.device, dtype=pixel_values.dtype)
+            w_indices = torch.arange(nb_patches_w, device=position_ids.device, dtype=pixel_values.dtype)
 
             fractional_coords_h = h_indices / nb_patches_h * (1 - 1e-6)
             fractional_coords_w = w_indices / nb_patches_w * (1 - 1e-6)