mirror of https://github.com/hpcaitech/ColossalAI
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
54 lines
1.6 KiB
54 lines
1.6 KiB
import pytest
|
|
import timm.models as tmm
|
|
import torch
|
|
import torchvision.models as tm
|
|
|
|
from colossalai.fx._compatibility import is_compatible_with_meta
|
|
|
|
if is_compatible_with_meta():
|
|
from colossalai.fx import meta_trace
|
|
|
|
from colossalai.testing import clear_cache_before_run
|
|
|
|
tm_models = [
|
|
tm.vgg11,
|
|
tm.resnet18,
|
|
tm.densenet121,
|
|
tm.mobilenet_v3_small,
|
|
tm.resnext50_32x4d,
|
|
tm.wide_resnet50_2,
|
|
tm.regnet_x_16gf,
|
|
tm.mnasnet0_5,
|
|
tm.efficientnet_b0,
|
|
]
|
|
|
|
tmm_models = [
|
|
tmm.resnest.resnest50d, tmm.beit.beit_base_patch16_224, tmm.cait.cait_s24_224, tmm.efficientnet.efficientnetv2_m,
|
|
tmm.resmlp_12_224, tmm.vision_transformer.vit_base_patch16_224, tmm.deit_base_distilled_patch16_224,
|
|
tmm.convnext.convnext_base, tmm.vgg.vgg11, tmm.dpn.dpn68, tmm.densenet.densenet121, tmm.rexnet.rexnet_100,
|
|
tmm.swin_transformer.swin_base_patch4_window7_224
|
|
]
|
|
|
|
|
|
@pytest.mark.skipif(not is_compatible_with_meta(), reason='torch version is lower than 1.12.0')
|
|
@clear_cache_before_run()
|
|
def test_torchvision_models_trace():
|
|
for m in tm_models:
|
|
model = m()
|
|
data = torch.rand(1000, 3, 224, 224, device='meta')
|
|
graph = meta_trace(model, torch.device('cpu'), data)
|
|
|
|
|
|
@pytest.mark.skipif(not is_compatible_with_meta(), reason='torch version is lower than 1.12.0')
|
|
@clear_cache_before_run()
|
|
def test_timm_models_trace():
|
|
for m in tmm_models:
|
|
model = m()
|
|
data = torch.rand(1000, 3, 224, 224, device='meta')
|
|
graph = meta_trace(model, torch.device('cpu'), data)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
test_torchvision_models_trace()
|
|
test_timm_models_trace()
|