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process group order

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zzhhjjj 2024-10-27 04:56:54 +00:00
parent 762127afcd
commit 928ada77b8
1 changed files with 18 additions and 17 deletions
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35
src/distributed/process_group_manager.py
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@ -14,25 +14,26 @@ class ProcessGroupManager:
self.dp_size = dp_size
assert self.world_size == self.tp_size * self.cp_size * self.pp_size * self.dp_size, f"World size ({self.world_size}) != TP ({self.tp_size}) * CP ({self.cp_size}) * PP ({self.pp_size}) * DP ({self.dp_size})"
self.grid = torch.arange(self.world_size).view(self.tp_size, self.cp_size, self.pp_size, self.dp_size) # TP * CP * PP * DP grid
self.grid = torch.arange(self.world_size).view(self.dp_size, self.pp_size, self.cp_size, self.tp_size) # DP * PP * CP * TP grid
# Find the position of the current process in the grid
self.tp_rank, self.cp_rank, self.pp_rank, self.dp_rank = (self.grid == self.global_rank).nonzero().flatten().tolist()
self.dp_rank, self.pp_rank, self.cp_rank, self.tp_rank = (self.grid == self.global_rank).nonzero().flatten().tolist()
# Process group creation
self.tp_group = dist.new_subgroups_by_enumeration([self.grid[:, c, p, d].tolist() for c in range(cp_size) for p in range(pp_size) for d in range(dp_size)])[0]
self.cp_group = dist.new_subgroups_by_enumeration([self.grid[t, :, p, d].tolist() for t in range(tp_size) for p in range(pp_size) for d in range(dp_size)])[0]
self.pp_group = dist.new_subgroups_by_enumeration([self.grid[t, c, :, d].tolist() for t in range(tp_size) for c in range(cp_size) for d in range(dp_size)])[0]
self.dp_group = dist.new_subgroups_by_enumeration([self.grid[t, c, p, :].tolist() for t in range(tp_size) for c in range(cp_size) for p in range(pp_size)])[0]
self.cp_dp_group = dist.new_subgroups_by_enumeration([self.grid[t, :, p, :].flatten().tolist() for t in range(tp_size) for p in range(pp_size)])[0]
self.pp_dp_group = dist.new_subgroups_by_enumeration([self.grid[t, c, :, :].flatten().tolist() for t in range(tp_size) for c in range(cp_size)])[0]
# Process group creation - Update indexing to match new grid order
self.tp_group = dist.new_subgroups_by_enumeration([self.grid[d, p, c, :].tolist() for d in range(dp_size) for p in range(pp_size) for c in range(cp_size)])[0]
self.cp_group = dist.new_subgroups_by_enumeration([self.grid[d, p, :, t].tolist() for d in range(dp_size) for p in range(pp_size) for t in range(tp_size)])[0]
self.pp_group = dist.new_subgroups_by_enumeration([self.grid[d, :, c, t].tolist() for d in range(dp_size) for c in range(cp_size) for t in range(tp_size)])[0]
self.dp_group = dist.new_subgroups_by_enumeration([self.grid[:, p, c, t].tolist() for p in range(pp_size) for c in range(cp_size) for t in range(tp_size)])[0]
self.cp_dp_group = dist.new_subgroups_by_enumeration([self.grid[:, p, :, t].flatten().tolist() for p in range(pp_size) for t in range(tp_size)])[0]
self.pp_dp_group = dist.new_subgroups_by_enumeration([self.grid[:, :, c, t].flatten().tolist() for c in range(cp_size) for t in range(tp_size)])[0]
self.world_group = dist.group.WORLD
self.tp_group_ids = self.grid[:, self.cp_rank, self.pp_rank, self.dp_rank].tolist()
self.cp_group_ids = self.grid[self.tp_rank, :, self.pp_rank, self.dp_rank].tolist()
self.pp_group_ids = self.grid[self.tp_rank, self.cp_rank, :, self.dp_rank].tolist()
self.dp_group_ids = self.grid[self.tp_rank, self.cp_rank, self.pp_rank, :].tolist()
self.cp_dp_group_ids = self.grid[self.tp_rank, :, self.pp_rank, :].tolist()
# Update group IDs with new grid ordering
self.tp_group_ids = self.grid[self.dp_rank, self.pp_rank, self.cp_rank, :].tolist()
self.cp_group_ids = self.grid[self.dp_rank, self.pp_rank, :, self.tp_rank].tolist()
self.pp_group_ids = self.grid[self.dp_rank, :, self.cp_rank, self.tp_rank].tolist()
self.dp_group_ids = self.grid[:, self.pp_rank, self.cp_rank, self.tp_rank].tolist()
self.cp_dp_group_ids = self.grid[:, self.pp_rank, :, self.tp_rank].flatten().tolist()
# Tensor parallelism
self.tp_first_rank = self.tp_group_ids[0]
@ -51,8 +52,8 @@ class ProcessGroupManager:
self.pp_last_rank = self.pp_group_ids[-1]
self.pp_is_first_stage = self.pp_rank == 0
self.pp_is_last_stage = self.pp_rank == self.pp_size - 1
self.pp_next_rank = None if self.pp_rank == self.pp_size - 1 else int(self.grid[self.tp_rank, self.cp_rank, self.pp_rank + 1, self.dp_rank].item())
self.pp_prev_rank = None if self.pp_rank == 0 else int(self.grid[self.tp_rank, self.cp_rank, self.pp_rank - 1, self.dp_rank].item())
self.pp_next_rank = None if self.pp_rank == self.pp_size - 1 else int(self.grid[self.dp_rank, self.pp_rank + 1, self.cp_rank, self.tp_rank].item())
self.pp_prev_rank = None if self.pp_rank == 0 else int(self.grid[self.dp_rank, self.pp_rank - 1, self.cp_rank, self.tp_rank].item())
self.pp_world_size = dist.get_world_size(group=self.pp_group)
# Data parallelism