import pytest import torch.distributed as dist import colossalai from colossalai.cluster import ProcessGroupMesh from colossalai.testing import spawn def check_process_group_mesh_with_gpc(): from colossalai.legacy.context import ParallelMode from colossalai.legacy.core import global_context as gpc DP_DIM, PP_DIM, TP_DIM = 0, 1, 2 pg_mesh = ProcessGroupMesh(1, 2, 2) # check world size assert gpc.get_world_size(ParallelMode.TENSOR) == pg_mesh.size( TP_DIM ), f"{gpc.get_world_size(ParallelMode.TENSOR)} != {pg_mesh.size(TP_DIM)}" assert gpc.get_world_size(ParallelMode.PIPELINE) == pg_mesh.size(PP_DIM) assert gpc.get_world_size(ParallelMode.DATA) == pg_mesh.size(DP_DIM) # check locak rank (coordinate) assert gpc.get_local_rank(ParallelMode.TENSOR) == pg_mesh.coordinate( TP_DIM ), f"{gpc.get_local_rank(ParallelMode.TENSOR)} != {pg_mesh.coordinate(TP_DIM)}" assert gpc.get_local_rank(ParallelMode.PIPELINE) == pg_mesh.coordinate(PP_DIM) assert gpc.get_local_rank(ParallelMode.DATA) == pg_mesh.coordinate(DP_DIM) # check ranks in group tp_group = pg_mesh.get_group_along_axis(TP_DIM) assert gpc.get_ranks_in_group(ParallelMode.TENSOR) == pg_mesh.get_ranks_in_group(tp_group) pp_group = pg_mesh.get_group_along_axis(PP_DIM) assert gpc.get_ranks_in_group(ParallelMode.PIPELINE) == pg_mesh.get_ranks_in_group(pp_group) dp_group = pg_mesh.get_group_along_axis(DP_DIM) assert gpc.get_ranks_in_group(ParallelMode.DATA) == pg_mesh.get_ranks_in_group(dp_group) # check prev rank coord = pg_mesh.coordinate() if not gpc.is_first_rank(ParallelMode.TENSOR): assert coord[TP_DIM] != 0 prev_coord = coord[:TP_DIM] + (coord[TP_DIM] - 1,) + coord[TP_DIM + 1 :] assert gpc.get_prev_global_rank(ParallelMode.TENSOR) == pg_mesh.ravel(prev_coord, pg_mesh.shape) if not gpc.is_first_rank(ParallelMode.PIPELINE): assert coord[PP_DIM] != 0 prev_coord = coord[:PP_DIM] + (coord[PP_DIM] - 1,) + coord[PP_DIM + 1 :] assert gpc.get_prev_global_rank(ParallelMode.PIPELINE) == pg_mesh.ravel(prev_coord, pg_mesh.shape) # check next rank if not gpc.is_last_rank(ParallelMode.TENSOR): assert coord[TP_DIM] != pg_mesh.size(TP_DIM) - 1 next_coord = coord[:TP_DIM] + (coord[TP_DIM] + 1,) + coord[TP_DIM + 1 :] assert gpc.get_next_global_rank(ParallelMode.TENSOR) == pg_mesh.ravel(next_coord, pg_mesh.shape) if not gpc.is_last_rank(ParallelMode.PIPELINE): assert coord[PP_DIM] != pg_mesh.size(PP_DIM) - 1 next_coord = coord[:PP_DIM] + (coord[PP_DIM] + 1,) + coord[PP_DIM + 1 :] assert gpc.get_next_global_rank(ParallelMode.PIPELINE) == pg_mesh.ravel(next_coord, pg_mesh.shape) def check_process_group_mesh_with_cases(): DP_DIM, PP_DIM, TP_DIM = 0, 1, 2 DP_SIZE, PP_SIZE, TP_SIZE = 1, 2, 2 RANK_TO_COORDINATE = { 0: (0, 0, 0), 1: (0, 0, 1), 2: (0, 1, 0), 3: (0, 1, 1), } TP_RANKS_IN_GROUP = { 0: [0, 1], 1: [0, 1], 2: [2, 3], 3: [2, 3], } PP_RANKS_IN_GROUP = { 0: [0, 2], 1: [1, 3], 2: [0, 2], 3: [1, 3], } DP_RANKS_IN_GROUP = { 0: [0], 1: [1], 2: [2], 3: [3], } pg_mesh = ProcessGroupMesh(DP_SIZE, PP_SIZE, TP_SIZE) rank = dist.get_rank() assert rank == pg_mesh.rank # check world size assert pg_mesh.size(TP_DIM) == 2 assert pg_mesh.size(PP_DIM) == 2 assert pg_mesh.size(DP_DIM) == 1 # check coordinate assert pg_mesh.coordinate(TP_DIM) == RANK_TO_COORDINATE[rank][TP_DIM] assert pg_mesh.coordinate(PP_DIM) == RANK_TO_COORDINATE[rank][PP_DIM] assert pg_mesh.coordinate(DP_DIM) == RANK_TO_COORDINATE[rank][DP_DIM] # check ranks in group tp_group = pg_mesh.get_group_along_axis(TP_DIM) assert pg_mesh.get_ranks_in_group(tp_group) == TP_RANKS_IN_GROUP[rank] pp_group = pg_mesh.get_group_along_axis(PP_DIM) assert pg_mesh.get_ranks_in_group(pp_group) == PP_RANKS_IN_GROUP[rank] dp_group = pg_mesh.get_group_along_axis(DP_DIM) assert pg_mesh.get_ranks_in_group(dp_group) == DP_RANKS_IN_GROUP[rank] # check prev rank if RANK_TO_COORDINATE[rank][TP_DIM] != 0: prev_coord = ( RANK_TO_COORDINATE[rank][:TP_DIM] + (RANK_TO_COORDINATE[rank][TP_DIM] - 1,) + RANK_TO_COORDINATE[rank][TP_DIM + 1 :] ) prev_rank = TP_RANKS_IN_GROUP[rank][TP_RANKS_IN_GROUP[rank].index(rank) - 1] assert pg_mesh.ravel(prev_coord, pg_mesh.shape) == prev_rank if RANK_TO_COORDINATE[rank][PP_DIM] != 0: prev_coord = ( RANK_TO_COORDINATE[rank][:PP_DIM] + (RANK_TO_COORDINATE[rank][PP_DIM] - 1,) + RANK_TO_COORDINATE[rank][PP_DIM + 1 :] ) prev_rank = PP_RANKS_IN_GROUP[rank][PP_RANKS_IN_GROUP[rank].index(rank) - 1] assert pg_mesh.ravel(prev_coord, pg_mesh.shape) == prev_rank # check next rank if RANK_TO_COORDINATE[rank][TP_DIM] != TP_SIZE - 1: next_coord = ( RANK_TO_COORDINATE[rank][:TP_DIM] + (RANK_TO_COORDINATE[rank][TP_DIM] + 1,) + RANK_TO_COORDINATE[rank][TP_DIM + 1 :] ) next_rank = TP_RANKS_IN_GROUP[rank][TP_RANKS_IN_GROUP[rank].index(rank) + 1] assert pg_mesh.ravel(next_coord, pg_mesh.shape) == next_rank if RANK_TO_COORDINATE[rank][PP_DIM] != PP_SIZE - 1: next_coord = ( RANK_TO_COORDINATE[rank][:PP_DIM] + (RANK_TO_COORDINATE[rank][PP_DIM] + 1,) + RANK_TO_COORDINATE[rank][PP_DIM + 1 :] ) next_rank = PP_RANKS_IN_GROUP[rank][PP_RANKS_IN_GROUP[rank].index(rank) + 1] assert pg_mesh.ravel(next_coord, pg_mesh.shape) == next_rank def run_dist(rank, world_size, port): colossalai.launch( config=dict(parallel=dict(data=1, pipeline=2, tensor=dict(mode="1d", size=2))), rank=rank, world_size=world_size, port=port, host="localhost", ) # TODO(ver217): this function should be removed when gpc is removed # check_process_group_mesh_with_gpc() check_process_group_mesh_with_cases() @pytest.mark.dist def test_process_group_mesh(): spawn(run_dist, 4) if __name__ == "__main__": test_process_group_mesh()