Fix shared weights sync for PipelineLayer

[DrownFish19]

PR types

Bug fixes

PR changes

Others

Description

1. PipelineLayer will create parameters for each layer and call _synchronize_shared_weights() to synchronize the shared parameters.
2. When setting the model state_dict, _synchronize_shared_weights will be called to synchronize the shared parameters. However, self._init_weights will re-initialize the parameters without synchronizing the shared parameters. If the following step does not load a checkpoint, the shared parameters will be different.

[paddle-bot]

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[codecov]

Codecov Report

Attention: 4 lines in your changes are missing coverage. Please review.

Comparison is base (adf9e6f) 57.30% compared to head (2abb57b) 57.30%.
Report is 8 commits behind head on develop.

Files	Patch %	Lines
paddlenlp/transformers/llama/modeling_auto.py	0.00%	2 Missing ⚠️
paddlenlp/trainer/training_args.py	0.00%	1 Missing ⚠️
paddlenlp/transformers/model_utils.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #7772      +/-   ##
===========================================
- Coverage    57.30%   57.30%   -0.01%     
===========================================
  Files          584      584              
  Lines        87688    87690       +2     
===========================================
+ Hits         50252    50253       +1     
- Misses       37436    37437       +1     

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[wawltor]

LGTM