mirror of https://github.com/hpcaitech/ColossalAI
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
from colossalai.constants import INPUT_GROUP_3D, WEIGHT_GROUP_3D, OUTPUT_GROUP_3D
|
|
from colossalai.context.parallel_mode import ParallelMode
|
|
from colossalai.core import global_context as gpc
|
|
from colossalai.global_variables import tensor_parallel_env as env
|
|
from torch import Tensor
|
|
|
|
|
|
def get_depth_from_env() -> int:
|
|
try:
|
|
depth = env.depth_3d
|
|
assert depth > 0, 'DEPTH must be greater than zero'
|
|
return depth
|
|
|
|
except KeyError as e:
|
|
raise EnvironmentError('DEPTH is not found in the current environment, '
|
|
'please make sure that you have used the correct process group initializer')
|
|
|
|
|
|
def get_parallel_mode_from_env(group):
|
|
assert group in [INPUT_GROUP_3D, WEIGHT_GROUP_3D, OUTPUT_GROUP_3D], \
|
|
f'{group} is not valid for 3D tensor parallelism.'
|
|
return getattr(env, group)
|
|
|
|
|
|
def get_last_group(a, b):
|
|
mapping = {
|
|
ParallelMode.PARALLEL_3D_INPUT: 'A',
|
|
ParallelMode.PARALLEL_3D_WEIGHT: 'B',
|
|
ParallelMode.PARALLEL_3D_OUTPUT: 'C',
|
|
}
|
|
|
|
res = chr(ord('A') + ord('B') + ord('C') - ord(mapping[a]) - ord(mapping[b]))
|
|
|
|
if res == 'A':
|
|
return ParallelMode.PARALLEL_3D_INPUT
|
|
elif res == 'B':
|
|
return ParallelMode.PARALLEL_3D_WEIGHT
|
|
elif res == 'C':
|
|
return ParallelMode.PARALLEL_3D_OUTPUT
|
|
|
|
|
|
def swap_in_out_group():
|
|
env.input_group_3d, env.output_group_3d = env.output_group_3d, env.input_group_3d
|
|
|
|
|
|
def dbg_check_shape(tensor: Tensor, shape: tuple):
|
|
rank = gpc.get_global_rank()
|
|
if rank == 0:
|
|
print(tensor.shape)
|
|
assert tensor.shape == shape, \
|
|
'{} does not match {}'.format(tensor.shape, shape)
|