[Auto-Paralllel] shard_dataloader fix

[Xing-lil]

PR Category

Auto Parallel

PR Types

Others

Description

问题1：shard_dataloader对非tensor数据类型的兼容性支持
解决1：增强shard_dataloader的兼容性。当输入数据为非tensor类型时，保持原始数据格式不作转换，直接存入dist_batch_data用于模型训练。

问题2：shard_dataloader迭代器重置机制不完善，部分场景下重置失败，迭代器耗尽。
解决2：将dataloader的重置逻辑统一由__next__方法调用。通过在__iter__和__call__方法中将self.iter置为None，并在调用__next__时进行重置，从而避免迭代器耗尽问题。

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[codecov-commenter]

Codecov Report

❌ Patch coverage is 75.00000% with 1 line in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (develop@e584e37). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
python/paddle/distributed/auto_parallel/api.py	75.00%	1 Missing ⚠️

❌ Your patch status has failed because the patch coverage (75.00%) is below the target coverage (90.00%). You can increase the patch coverage or adjust the target coverage.

Additional details and impacted files

@@            Coverage Diff             @@
##             develop   #75629   +/-   ##
==========================================
  Coverage           ?   75.00%           
==========================================
  Files              ?        1           
  Lines              ?        4           
  Branches           ?        0           
==========================================
  Hits               ?        3           
  Misses             ?        1           
  Partials           ?        0           

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