mirror of https://github.com/hpcaitech/ColossalAI
63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
from functools import partial
|
|
|
|
import pytest
|
|
import torch
|
|
import torch.multiprocessing as mp
|
|
from colossalai.core import global_context as gpc
|
|
from colossalai.initialize import launch
|
|
from colossalai.logging import disable_existing_loggers
|
|
from colossalai.utils import free_port
|
|
from colossalai.testing import rerun_if_address_is_in_use
|
|
from checks_2p5d.check_layer_2p5d import *
|
|
from checks_2p5d.check_operation_2p5d import check_AB, check_ABT, check_ATB
|
|
|
|
CONFIG = dict(parallel=dict(
|
|
pipeline=dict(size=1),
|
|
tensor=dict(size=4, mode='2.5d', depth=1),
|
|
),)
|
|
|
|
|
|
def check_operations():
|
|
check_AB()
|
|
check_ABT()
|
|
check_ATB()
|
|
|
|
|
|
def check_layer():
|
|
check_linear()
|
|
check_layernorm()
|
|
check_embed()
|
|
check_patch_embed()
|
|
check_vocab_parallel_embed()
|
|
check_classifier_no_given_weight()
|
|
check_vocab_parallel_classifier_no_given_weight()
|
|
check_classifier_given_embed_weight()
|
|
check_vocab_parallel_classifier_given_embed_weight()
|
|
check_loss()
|
|
check_vocab_parallel_loss()
|
|
|
|
|
|
def check_layer_and_operation(rank, world_size, port):
|
|
disable_existing_loggers()
|
|
launch(config=CONFIG, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
|
|
|
|
torch.backends.cuda.matmul.allow_tf32 = False
|
|
torch.backends.cudnn.allow_tf32 = False
|
|
torch.backends.cudnn.deterministic = True
|
|
check_operations()
|
|
check_layer()
|
|
gpc.destroy()
|
|
torch.cuda.empty_cache()
|
|
|
|
|
|
@pytest.mark.dist
|
|
@rerun_if_address_is_in_use()
|
|
def test_2p5d():
|
|
world_size = 4
|
|
run_func = partial(check_layer_and_operation, world_size=world_size, port=free_port())
|
|
mp.spawn(run_func, nprocs=world_size)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
test_2p5d()
|