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[Shardformer] change qwen2 modeling into gradient checkpointing style #5874

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ver217 merged 1 commit into from
Jul 1, 2024
Merged

[Shardformer] change qwen2 modeling into gradient checkpointing style #5874

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17 changes: 15 additions & 2 deletions colossalai/shardformer/modeling/qwen2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -168,13 +168,27 @@ def qwen2_model_forward(
next_decoder_cache = None

start_idx, end_idx = stage_index[0], stage_index[1]
num_ckpt_layers = 0
if self.gradient_checkpointing and self.training:
num_ckpt_layers = end_idx - start_idx
# TODO: We can replace `gradient_checkpointing_enable` fn and initialize a gradient_checkpointing (List[bool]) for each layer
if shard_config.gradient_checkpoint_config is not None:
num_ckpt_layers = shard_config.gradient_checkpoint_config.get_num_ckpt_layers(
stage=stage_manager.stage,
num_stages=stage_manager.num_stages,
num_layers=end_idx - start_idx,
model_chunk_id=(stage_manager.model_chunk_id if stage_manager.is_interleave else 0),
num_model_chunks=stage_manager.num_model_chunks,
)
assert num_ckpt_layers <= end_idx - start_idx

for idx, decoder_layer in enumerate(self.layers[start_idx:end_idx], start=start_idx):
if output_hidden_states:
all_hidden_states += (hidden_states,)

past_key_value = past_key_values[idx] if past_key_values is not None else None

if self.gradient_checkpointing and self.training:
if idx - start_idx < num_ckpt_layers:
layer_outputs = self._gradient_checkpointing_func(
decoder_layer.__call__,
hidden_states,
Expand All @@ -198,7 +212,6 @@ def qwen2_model_forward(

if use_cache:
next_decoder_cache += (layer_outputs[2 if output_attentions else 1],)

if output_attentions:
all_self_attns += (layer_outputs[1],)

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