remove duplicate

Author: kashif

tests/models/transformers/test_models_transformer_qwenimage.py

@@ -145,23 +145,6 @@ def test_infers_text_seq_len_from_mask(self):
         self.assertIsNone(per_sample_len_none)
         self.assertIsNone(normalized_mask_none)
 
-    def test_deprecated_txt_seq_lens_warning(self):
-        """Test that passing the deprecated txt_seq_lens parameter raises a FutureWarning."""
-        init_dict, inputs = self.prepare_init_args_and_inputs_for_common()
-        model = self.model_class(**init_dict).to(torch_device)
-        model.eval()
-
-        # Add the deprecated txt_seq_lens parameter
-        inputs["txt_seq_lens"] = [inputs["encoder_hidden_states"].shape[1]]
-
-        with self.assertWarns(FutureWarning) as warning:
-            with torch.no_grad():
-                _ = model(**inputs)
-
-        # Verify the warning message mentions the deprecated parameter
-        self.assertIn("txt_seq_lens", str(warning.warning))
-        self.assertIn("deprecated", str(warning.warning).lower())
-
     def test_non_contiguous_attention_mask(self):
         """Test that non-contiguous masks work correctly (e.g., [1, 0, 1, 0, 1, 0, 0])"""
         init_dict, inputs = self.prepare_init_args_and_inputs_for_common()