Summary of Changes

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This pull request introduces foundational support for Megatron FSDP, a technique designed to optimize memory usage and scalability in large-scale distributed training. It provides new configuration options that allow users to enable FSDP, choose between Megatron's implementation or PyTorch's FSDP2, and specify different sharding strategies for data parallelism. These changes are reflected in both the core argument definition and the user-facing documentation.

Highlights

• Megatron FSDP Support: Introduced support for Megatron Fully Sharded Data Parallel (FSDP) to enhance distributed training capabilities.
• New Command-Line Parameters: Added three new command-line arguments: use_megatron_fsdp to enable Megatron FSDP, use_torch_fsdp2 for PyTorch's FSDP2 implementation, and data_parallel_sharding_strategy to define how data parallelism sharding is applied.
• Argument Class Integration: Integrated the new FSDP-related parameters into the MegatronArguments class within swift/megatron/argument/megatron_args.py.
• Documentation Updates: Updated both Chinese and English documentation files (docs/source/Megatron-SWIFT/Command-line-parameters.md and docs/source_en/Megatron-SWIFT/Command-line-parameters.md) to reflect the newly added FSDP command-line parameters.

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