removed distribute_checkpointed_activations_helper()

megatron/model/transformer.py

@@ -626,23 +626,6 @@ class ParallelTransformer(MegatronModule):
                 return x_
             return custom_forward
 
-        def distribute_checkpointed_activations_helper(layer_number):
-            """Distribute checkpointed activations across the tensor model
-               Parallel ranks if the `distribute-checkpointed-activations
-               is on and either of the following conditions is met:
-                 - it is not the first layer in the in the pipeline stage.
-                   The first layer is used in the pipeline parallelism 
-                   and changing its shape throws error in the backward pass.
-                 - we are at the first pipline stage so the input tensor is
-                   not used in pipeline parallelism. Note that no pipeline
-                   parallelism is a special case of this.
-            """
-            not_first_layer_in_pipeline_stage = (layer_number > 0)
-            is_first_pipeline_stage = (
-                mpu.get_pipeline_model_parallel_rank() == 0)
-            return self.distribute_checkpointed_activations and \
-                (not_first_layer_in_pipeline_stage or is_first_pipeline_stage)
-
         if self.activations_checkpoint_method == 'uniform':
             # Uniformly divide the total number of Transformer layers and checkpoint
             # the input activation of each divided chunk.
@@ -651,7 +634,7 @@ class ParallelTransformer(MegatronModule):
             while l < self.num_layers:
                 hidden_states = mpu.checkpoint(
                     custom(l, l + self.activations_checkpoint_num_layers),
-                    distribute_checkpointed_activations_helper(l),
+                    self.distribute_checkpointed_activations,
                     hidden_states, attention_mask, encoder_output, enc_dec_attn_mask)
                 l += self.activations_checkpoint_num_layers
         elif self.activations_checkpoint_method == 'block':
@@ -662,7 +645,7 @@ class ParallelTransformer(MegatronModule):
                 if l < self.activations_checkpoint_num_layers:
                     hidden_states = mpu.checkpoint(
                         custom(l, l + 1),
-                        distribute_checkpointed_activations_helper(l),
+                        self.distribute_checkpointed_activations,
                         hidden_states, attention_mask, encoder_output, enc_dec_attn_mask)
                 else:
                     hidden_states = custom(l, l + 1)(