diff --git a/src/transformers/generation_tf_utils.py b/src/transformers/generation_tf_utils.py
index d5f92b51e..86149db0c 100644
--- a/src/transformers/generation_tf_utils.py
+++ b/src/transformers/generation_tf_utils.py
@@ -1739,9 +1739,7 @@ class TFGenerationMixin:
     ) -> tf.Tensor:
         is_input_ids = len(inputs.shape) == 2 and inputs.dtype in (tf.int32, tf.int64)
         is_pad_token_in_inputs = (pad_token_id is not None) and tf.math.reduce_any(inputs == pad_token_id)
-        is_pad_token_not_equal_to_eos_token_id = (eos_token_id is None) or (
-            (eos_token_id is not None) and (pad_token_id != eos_token_id)
-        )
+        is_pad_token_not_equal_to_eos_token_id = (eos_token_id is None) or (pad_token_id != eos_token_id)
 
         # Check if input is input_ids and padded -> only then is attention_mask defined
         if is_input_ids and is_pad_token_in_inputs and is_pad_token_not_equal_to_eos_token_id:
diff --git a/src/transformers/generation_utils.py b/src/transformers/generation_utils.py
index dcbe6e594..17de17f79 100644
--- a/src/transformers/generation_utils.py
+++ b/src/transformers/generation_utils.py
@@ -495,9 +495,8 @@ class GenerationMixin:
     ) -> torch.LongTensor:
         is_input_ids = len(inputs.shape) == 2 and inputs.dtype in [torch.int, torch.long]
         is_pad_token_in_inputs = (pad_token_id is not None) and (pad_token_id in inputs)
-        is_pad_token_not_equal_to_eos_token_id = (eos_token_id is None) or (
-            (eos_token_id is not None) and (pad_token_id != eos_token_id)
-        )
+        is_pad_token_not_equal_to_eos_token_id = (eos_token_id is None) or (pad_token_id != eos_token_id)
+
         # Check if input is input_ids and padded -> only then is attention_mask defined
         if is_input_ids and is_pad_token_in_inputs and is_pad_token_not_equal_to_eos_token_id:
             return inputs.ne(pad_token_id).long()