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nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py

@@ -275,7 +275,7 @@ def __init__(self, cfg: DictConfig, trainer: Trainer):
             self.num_microbatches_in_previous_step = -1
             self.microbatch_count = 0
             self.is_prev_microbatch_training = True
-            
+
         # configuration used for inference
         self._inference_config = None
 
@@ -900,8 +900,9 @@ def fwd_output_and_loss_func(dataloader_iter, model, checkpoint_activations_all_
                             # compute fp8 weights first time a model chunk processes a microbatch
                             pp_size = parallel_state.get_pipeline_model_parallel_world_size()
                             forwards_per_step = vp_size * get_num_microbatches()
-                            is_first_microbatch = (self.microbatch_count % forwards_per_step < vp_size*pp_size) and \
-                                (self.microbatch_count % pp_size == 0)
+                            is_first_microbatch = (self.microbatch_count % forwards_per_step < vp_size * pp_size) and (
+                                self.microbatch_count % pp_size == 0
+                            )
                         else:
                             is_first_microbatch = self.microbatch_count % get_num_microbatches() == 0
                     forward_args['is_first_microbatch'] = is_first_microbatch