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ColossalAI/tests/test_tensor/test_shape_consistency.py

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import torch
from colossalai.device.device_mesh import DeviceMesh
from colossalai.tensor.shape_consistency import CollectiveCommPattern, ShapeConsistencyManager
from colossalai.tensor.sharding_spec import ShardingSpec
physical_mesh_id = torch.arange(0, 16)
mesh_shape = (4, 4)
# [[0, 1, 2, 3],
# [4, 5, 6, 7],
# [8, 9, 10,11],
# [12,13,14,15]]
device_mesh = DeviceMesh(physical_mesh_id, mesh_shape)
entire_shape = torch.Size((64, 32, 16))
shape_consistency_manager = ShapeConsistencyManager()
def test_one_step_transform():
dim_partition_dict = {0: [0], 1: [1]}
# DistSpec:
# shard_sequence: S0,S1,R
# device_mesh_shape: (4, 4)
sharding_spec = ShardingSpec(device_mesh, entire_shape, dim_partition_dict)
# {DistSpec:
# shard_sequence: R,S1,R
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:allgather, gather_dim:0, logical_process_axis:0), 0), DistSpec:
# shard_sequence: S0,R,R
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:allgather, gather_dim:1, logical_process_axis:1), 0)}
rst_dict = shape_consistency_manager.get_all_all_gather_spec(
sharding_spec, {"forward": 0, "backward": 0, "total": 0}
)
assert "[R, S1, R]" in [
str(all_gather_sharding_spec.sharding_sequence) for all_gather_sharding_spec in rst_dict.keys()
]
assert "[S0, R, R]" in [
str(all_gather_sharding_spec.sharding_sequence) for all_gather_sharding_spec in rst_dict.keys()
]
dim_partition_dict_all2all = {0: [0], 1: [1]}
# DistSpec:
# shard_sequence: S0,S1,R
# device_mesh_shape: (4, 4)
sharding_spec_all2all = ShardingSpec(device_mesh, entire_shape, dim_partition_dict_all2all)
# {DistSpec:
# shard_sequence: S01,R,R
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:all2all, gather_dim:1, shard_dim:0, logical_process_axis: 1), 0), DistSpec:
# shard_sequence: R,S1,S0
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:all2all, gather_dim:0, shard_dim:2, logical_process_axis: 0), 0), DistSpec:
# shard_sequence: S0,R,S1
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:all2all, gather_dim:1, shard_dim:2, logical_process_axis: 1), 0)}
rst_dict_all2all = shape_consistency_manager.get_all_all_to_all_spec(
sharding_spec_all2all, {"forward": 0, "backward": 0, "total": 0}
)
assert "[S01, R, R]" in [
str(all2all_sharding_spec.sharding_sequence) for all2all_sharding_spec in rst_dict_all2all.keys()
]
assert "[R, S1, S0]" in [
str(all2all_sharding_spec.sharding_sequence) for all2all_sharding_spec in rst_dict_all2all.keys()
]
assert "[S0, R, S1]" in [
str(all2all_sharding_spec.sharding_sequence) for all2all_sharding_spec in rst_dict_all2all.keys()
]
dim_partition_shard = {0: [0]}
# DistSpec:
# shard_sequence: S0,R,R
# device_mesh_shape: (4, 4)
sharding_spec_shard = ShardingSpec(device_mesh, entire_shape, dim_partition_shard)
# {DistSpec:
# shard_sequence: S01,R,R
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:shard, shard_dim:0, logical_process_axis:1), 0), DistSpec:
# shard_sequence: S0,S1,R
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:shard, shard_dim:1, logical_process_axis:1), 0), DistSpec:
# shard_sequence: S0,R,S1
# device_mesh_shape: (4, 4): (CommSpec:(comm_pattern:shard, shard_dim:2, logical_process_axis:1), 0)}
rst_dict_shard = shape_consistency_manager.get_all_shard_spec(
sharding_spec_shard, {"forward": 0, "backward": 0, "total": 0}
)
assert "[S01, R, R]" in [
str(shard_sharding_spec.sharding_sequence) for shard_sharding_spec in rst_dict_shard.keys()
]
assert "[S0, S1, R]" in [
str(shard_sharding_spec.sharding_sequence) for shard_sharding_spec in rst_dict_shard.keys()
]
assert "[S0, R, S1]" in [
str(shard_sharding_spec.sharding_sequence) for shard_sharding_spec in rst_dict_shard.keys()
]
def test_shape_consistency():
dim_partition_source = {1: [0, 1]}
dim_partition_target = {0: [0, 1]}
# DistSpec:
# shard_sequence: R,S01,R
# device_mesh_shape: (4, 4)
sharding_spec_source = ShardingSpec(device_mesh, entire_shape, dim_partition_source)
# DistSpec:
# shard_sequence: S01,R,R
# device_mesh_shape: (4, 4)
sharding_spec_target = ShardingSpec(device_mesh, entire_shape, dim_partition_target)
transform_path, comm_action_sequence, total_cost = shape_consistency_manager.shape_consistency(
sharding_spec_source, sharding_spec_target
)
transform_path_str = "->".join([str(sharding_spec.sharding_sequence) for sharding_spec in transform_path])
assert transform_path_str == "[R, S01, R]->[R, S0, R]->[S0, R, R]->[S01, R, R]"
# all-gather(S01) -> S0
assert comm_action_sequence[0].comm_pattern == CollectiveCommPattern.GATHER_FWD_SPLIT_BWD
assert comm_action_sequence[0].gather_dim == 1
assert comm_action_sequence[0].logical_process_axis == 1
# all-to-all(R, S0) -> [S0, R]
assert comm_action_sequence[1].comm_pattern == CollectiveCommPattern.ALL2ALL_FWD_ALL2ALL_BWD
assert comm_action_sequence[1].gather_dim == 1
assert comm_action_sequence[1].shard_dim == 0
assert comm_action_sequence[1].logical_process_axis == 0
# shard(S0) -> [S01]
assert comm_action_sequence[2].comm_pattern == CollectiveCommPattern.SPLIT_FWD_GATHER_BWD
assert comm_action_sequence[2].shard_dim == 0
assert comm_action_sequence[2].logical_process_axis == 1
assert (
shape_consistency_manager.cached_spec_pairs_transform_path[("[R, S01, R]", "[S01, R, R]")][0] == transform_path
)
assert (
shape_consistency_manager.cached_spec_pairs_transform_path[("[R, S01, R]", "[S01, R, R]")][1]
== comm_action_sequence
)
if __name__ == "__main__":
test_one_step_transform()
test_shape_consistency()