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# 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)) | |