The parallel namespace joins the accessor migration: 106 config-leaf reads
(enable_dp_lm_head, enable_dp_attention, pp_async_batch_depth, dp_size,
ep_join_rank_offset, dwdp_size, ...) flip from get_server_args()/
self.server_args to get_parallel(), which serves config leaves from the
published parallel bag via __getattr__.
- ParallelContext.__getattr__ is restructured to stay dynamo-traceable
(object.__getattribute__ graph-breaks): gate helpers such as
enable_moe_dense_fully_dp() run inside compiled model forwards. A
fullgraph regression test pins the pattern.
- The five live-shadowed topology sizes (tp/pp/dcp/attn_cp/moe_dp_size)
keep their server_args reads: the live @property wins on the accessor,
and conditionally-initialized groups would fail loud at unconditional
call sites.
- Elastic-EP scale writers (ep_size/dp_size x4 in model_runner) reroute
to get_context().override together with their remaining instance
readers (expert_location gpus-per-node paths); the ServerArgs.override
ratchet drops 39 -> 35.
- The expert placement helpers (compute_logical_to_rank_dispatch_
physical_map, _compute_logical_to_all_physical_map,
_prefer_same_node_experts) now read everything from the bags and drop
their server_args parameter; their unit tests publish the config they
need instead of stubbing it.
Cheng Wan
47d8b5b749