Spaces:
Sleeping
Sleeping
File size: 538 Bytes
d7e58f0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
# Copyright (c) OpenMMLab. All rights reserved.
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))
|