Fix typos (#1508)

* chore: Fix typos

* Update optimum/intel/openvino/modeling_visual_language.py

Co-authored-by: Nikita Savelyev <[email protected]>

---------

Co-authored-by: Ella Charlaix <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>

Author: 3 people

optimum/exporters/openvino/model_patcher.py

@@ -117,7 +117,7 @@ def _update_causal_mask_patched(
 
     dtype, device = input_tensor.dtype, input_tensor.device
     # difference with original modeling
-    # using minimum from dtype with larger bandwith (floa32) may lead to overflow
+    # using minimum from dtype with larger bandwidth (float32) may lead to overflow
     # during execution on platforms with default lower precision (bfloat16, float16)
     min_dtype = torch.finfo(torch.float16).min
 
@@ -2097,7 +2097,7 @@ def _dbrx_update_causal_mask(
 
     dtype, device = input_tensor.dtype, input_tensor.device
     # difference with original modeling
-    # using minimum from dtype with larger bandwith (floa32) may lead to overflow
+    # using minimum from dtype with larger bandwidth (float32) may lead to overflow
     # during execution on platforms with default lower precision (bfloat16, float16)
     min_dtype = torch.finfo(torch.float16).min
     sequence_length = input_tensor.shape[1]

optimum/intel/openvino/modeling_visual_language.py

@@ -916,7 +916,7 @@ def prepare_inputs_for_generation(
                 "image_grid_thw": kwargs.get("image_grid_thw"),
                 "video_grid_thw": kwargs.get("video_grid_thw"),
                 "token_type_ids": kwargs.get("token_type_ids"),
-                "pixel_attetion_mask": kwargs.get("pixle_attetion_mask"),
+                "pixel_attention_mask": kwargs.get("pixel_attention_mask"),
                 "image_attention_mask": kwargs.get("image_attention_mask"),
                 "input_audio_embeds": kwargs.get("input_audio_embeds", kwargs.get("audio_input_features")),
                 "audio_embed_sizes": kwargs.get("audio_embed_sizes"),
@@ -1850,7 +1850,7 @@ def load_image(image, input_size=448, max_num=12):
         inputs.update(tokenizer(text, return_tensors="pt"))
         return inputs
 
-    # internvl has issue with check  _get_non_default_parameters, as wrkaraund overide _prepare_generation_config
+    # internvl has issue with check  _get_non_default_parameters, as wrkaraund override _prepare_generation_config
     def _prepare_generation_config(
         self, generation_config: Optional[GenerationConfig], use_model_defaults: Optional[bool] = None, **kwargs: Dict
     ) -> Tuple[GenerationConfig, Dict]:

optimum/intel/utils/modeling_utils.py

@@ -65,7 +65,7 @@ def get_model_device(model: torch.nn.Module) -> torch.device:
 
 def recursive_to_device(value, device):
     """
-    Recursivley move the tensor element in `value` to `device`
+    Recursively move the tensor element in `value` to `device`
     """
     if isinstance(value, (tuple, list)):
         return type(value)(recursive_to_device(v, device) for v in value)