llama_with_auto_pp#10648

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Waynezee wants to merge 7 commits intoPaddlePaddle:developfrom

Waynezee:llama_with_auto_pp

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Waynezee commented May 23, 2025

Before submitting

Lint code. If there are lint issues, please format the code first.

# Install and register `pre-commit` in the project folder
pip install pre-commit && pre-commit install

# Process previous code files separately
pre-commit run --file XXXX.py

Add test cases into tests folder. If there are codecov issues, please add tests cases first.

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          llama_with_auto_pp

a8992df

paddle-bot bot commented May 23, 2025

Thanks for your contribution!


          support change n_microbatches in json

d1d8e44

codecov bot commented May 23, 2025 •

edited

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Codecov Report

Attention: Patch coverage is 16.27907% with 288 lines in your changes missing coverage. Please review.

Project coverage is 46.84%. Comparing base (91920a6) to head (d1d8e44).
Report is 54 commits behind head on develop.

❗ Current head d1d8e44 differs from pull request most recent head e42e54c

Please upload reports for the commit e42e54c to get more accurate results.

Files with missing lines	Patch %	Lines
paddlenlp/transformers/llama/modeling_auto_pp.py	21.07%	206 Missing ⚠️
paddlenlp/trainer/auto_trainer.py	0.00%	82 Missing ⚠️

❌ Your patch check has failed because the patch coverage (16.27%) is below the target coverage (80.00%). You can increase the patch coverage or adjust the target coverage.
❌ Your project check has failed because the head coverage (46.84%) is below the target coverage (58.00%). You can increase the head coverage or adjust the target coverage.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop   #10648      +/-   ##
===========================================
- Coverage    46.98%   46.84%   -0.14%     
===========================================
  Files          799      800       +1     
  Lines       132255   132774     +519     
===========================================
+ Hits         62135    62195      +60     
- Misses       70120    70579     +459

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Waynezee added 4 commits

May 23, 2025 19:50


          fix init model


          keep layers which are not in curr rank

41e72a7


          formal llama_with_auto_pp

79052ae


          formal llama_with_auto_pp

5f72a6f

xuxinyi389 reviewed

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paddlenlp/transformers/llama/modeling_auto_pp.py Outdated

+              # output_attentions、use_cache 可以由config控制且有默认值， delete掉
+              # inputs_embeds、past_key_values 动手PP组网没有使用，delete掉，使用默认值
+              # attn_mask_startend_row_indices 自动并行组网没有使用，不考虑

Collaborator

xuxinyi389 Jun 9, 2025

这些注释可以删除掉

xuxinyi389 reviewed

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paddlenlp/transformers/llama/modeling_auto_pp.py Outdated

+                      local_chunk_id = stage_idx // pp_degree
+                      if stage_idx == 0: # 第一个model_chunk输入特殊处理
+                          new_model = _Pipeline_model_chunk(layer_lists[:chunk_size])
+                          def forward0(

Collaborator

xuxinyi389 Jun 9, 2025

规范下命名，可以命名为 forward_with_emb

xuxinyi389 reviewed

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paddlenlp/transformers/llama/modeling_auto_pp.py Outdated

+                          new_model.forward = forward0.__get__(new_model)
+                      else:
+                          new_model = _Pipeline_model_chunk(layer_lists[stage_idx * chunk_size : (stage_idx + 1) * chunk_size])
+                          def forward1(self, *args, **kwargs):

Collaborator

xuxinyi389 Jun 9, 2025

规范下命名，可以命名为 forward_with_decode

xuxinyi389 reviewed

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paddlenlp/transformers/llama/modeling_auto_pp.py

+                  assert mode in ["VPP", "1F1B", "GPipe"]
+                  stages = manual_model_split(model, group.rank, group, mode, pp_degree)
+                  if mode == "VPP":
+                      schedule = ScheduleInterleaved1F1B(stages, n_microbatches = n_microbatches, loss_fn = loss_fn)

Collaborator

xuxinyi389 Jun 9, 2025

后续，Schdules 名称会和动手对齐。ScheduleGPipe应该要替换成ScheduleFThenB，ScheduleInterleaved1F1B 改成 ScheduleVPP


          style

e42e54c

xuxinyi389 reviewed

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paddlenlp/transformers/llama/modeling_auto_pp.py


		return ret

		class _Pipeline_model_chunk(nn.Layer):

Collaborator

xuxinyi389 Jun 12, 2025

命名为 llama_chunk 吧

xuxinyi389 reviewed

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paddlenlp/transformers/llama/modeling_auto_pp.py

+                  def __init__(self, layers):
+                      super(_Pipeline_model_chunk, self).__init__()
+                      self.layers = layers
+                  def forward(self, *args, **kwargs):

Collaborator

xuxinyi389 Jun 12, 2025

把下方注册forward逻辑的代码，在此处重写，使用if else 走不同分支，更容易让用户理解

Waynezee closed this

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