mirror of https://github.com/open-mmlab/mmcv.git
16 lines
490 B
Python
16 lines
490 B
Python
import torch
|
|
import torch.nn as nn
|
|
|
|
from mmcv.cnn import ConvModule, fuse_conv_bn
|
|
|
|
|
|
def test_fuse_conv_bn():
|
|
inputs = torch.rand((1, 3, 5, 5))
|
|
modules = nn.ModuleList()
|
|
modules.append(nn.BatchNorm2d(3))
|
|
modules.append(ConvModule(3, 5, 3, norm_cfg=dict(type='BN')))
|
|
modules.append(ConvModule(5, 5, 3, norm_cfg=dict(type='BN')))
|
|
modules = nn.Sequential(*modules)
|
|
fused_modules = fuse_conv_bn(modules)
|
|
assert torch.equal(modules(inputs), fused_modules(inputs))
|