[autoparallel] add numerical test for node strategies (#1760)

* [autoparallel] add numerical test for node strategies

* polish code

* polish code
This commit is contained in:
YuliangLiu0306
2022-10-27 10:42:54 +08:00
committed by GitHub
parent 25952b67d7
commit b4cc59b61e
10 changed files with 283 additions and 60 deletions

View File

@@ -6,7 +6,6 @@ from functools import reduce
import torch
from colossalai.device.device_mesh import DeviceMesh
from colossalai.tensor.utils import (all_gather_simulator, all_to_all_simulator, shard_simulator)
__all__ = ['_DimSpec', 'ShardingException', 'ShardingSpec']
@@ -23,7 +22,7 @@ class _DimSpec:
This class is used internally in ShardingSpec.
Argument:
shard_list(List[int]): if shard_list is None, the dim spec will be 'R' type.
shard_list(List[int]): if shard_list is None, the dim spec will be 'R' type.
Otherwise, the element in shard_list means the data will be sharded in that dimension.
'''
@@ -62,7 +61,7 @@ class _DimSpec:
def build_difference_2d_dict(self):
'''
Build a difference maping for 2D device mesh case. It will be used to
Build a difference maping for 2D device mesh case. It will be used to
compute the difference between DimSpec pairs.
'''
@@ -159,9 +158,9 @@ class ShardingNotDivisibleError(ShardingSpecException):
class ShardingSpec:
'''
Sharding spec for a tensor, it contains info of the logical device mesh this tensor belong
to, the entire shape of the tensor before sharded, and the sharding sequence looks like
to, the entire shape of the tensor before sharded, and the sharding sequence looks like
[R, R, S0, S1].
Argument:
device_mesh(DeviceMesh): A logical view of a physical mesh.
entire_shape(torch.Size): The entire shape of tensor before sharded.
@@ -260,10 +259,10 @@ class ShardingSpec:
# device_mesh_shape: (4, 4)
sharding_spec_to_compare = ShardingSpec(device_mesh, entire_shape, dim_partition_dict_to_compare)
print(sharding_spec.sharding_sequence_difference(sharding_spec_to_compare))
Output:
25
Argument:
other(ShardingSpec): The ShardingSpec to compared with.