Fix HSDP model_rank collision when dp_shard > 1#2
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model_rank was computed as `replicate_rank * replicate_size + shard_rank`, which produces duplicate ranks across different (replicate, shard) pairs. Changed to `replicate_rank * shard_size + shard_rank` so that all dp_replicate × dp_shard combinations yield unique model ranks. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
In
DeviceMeshHandler.get_rank_info(src/l3m/helpers/dist/utils.py), when HSDP is enabled (dp_shard > 1),model_rankwas multiplied byworld_size(which at that point equalsreplicate_mesh.size()), but it should be multiplied byshard_mesh.size():Using
shard_mesh.size()as the stride ensures every(replicate_rank, shard_rank)pair maps to a uniquemodel_rankin[0, dp_replicate * dp_shard).Example
With
dp_replicate=2,dp_shard=3:When
replicate_size == shard_sizethe two expressions coincide, so the bug is only observable for non-square HSDP meshes.Test plan
model_rankvalues are unique and contiguous over[0, dp_replicate * dp_shard)for non-square meshes.dp_shard > dp_replicateand confirm no rank-derived collisions (seeding, checkpoint sharding, logging, etc.).🤖 Generated with Claude Code