Repository: huggingface/transformers
Pull request: Validate GptOssConfig rope config after it's fully initialized



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`rope_config_validation()` uses `max_position_embeddings`.

Fixes #40461.


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Changed files:
filename: src/transformers/models/gpt_oss/configuration_gpt_oss.py
patch: @@ -98,17 +98,18 @@ def __init__(
             ]
         layer_type_validation(self.layer_types)
 
+        self.attention_bias = True
+        self.max_position_embeddings = max_position_embeddings
+        self.router_aux_loss_coef = router_aux_loss_coef
+        self.output_router_logits = output_router_logits
+        self.use_cache = use_cache
+
         # Validate the correctness of rotary position embeddings parameters
         # BC: if there is a 'type' field, copy it it to 'rope_type'.
         if self.rope_scaling is not None and "type" in self.rope_scaling:
             self.rope_scaling["rope_type"] = self.rope_scaling["type"]
         rope_config_validation(self)
 
-        self.attention_bias = True
-        self.max_position_embeddings = max_position_embeddings
-        self.router_aux_loss_coef = router_aux_loss_coef
-        self.output_router_logits = output_router_logits
-        self.use_cache = use_cache
         super().__init__(
             tie_word_embeddings=tie_word_embeddings,
             **kwargs,