[Generate] Fix gradient_checkpointing and use_cache bug for BLOOM (#21956)

Step 1 - Change use_cache fix

src/transformers/models/bloom/modeling_bloom.py

@@ -732,6 +732,13 @@ class BloomModel(BloomPreTrainedModel):
         all_self_attentions = () if output_attentions else None
         all_hidden_states = () if output_hidden_states else None
 
+        if self.gradient_checkpointing and self.training:
+            if use_cache:
+                logger.warning_once(
+                    "`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..."
+                )
+                use_cache = False
+
         # Compute alibi tensor: check build_alibi_tensor documentation
         seq_length_with_past = seq_length
         past_key_values_length = 0
@@ -756,11 +763,6 @@ class BloomModel(BloomPreTrainedModel):
                 all_hidden_states = all_hidden_states + (hidden_states,)
 
             if self.gradient_checkpointing and self.training:
-                if use_cache:
-                    logger.warning_once(
-                        "`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..."
-                    )
-                    use_cache = False
 
                 def create_custom_forward(module):
                     def custom_forward(*inputs):