in py/examine_resnet.py [0:0]
def fuse_resnet_params(m):
resnet.Bottleneck.forward = new_forward
resnet.ResNet.forward = new_resnet_forward
m.fused = True
fuse_bn(m.conv1, m.bn1)
del m.bn1
for seq in [m.layer1, m.layer2, m.layer3, m.layer4]:
seq.fused = True
for bb in seq:
bb.fused = True
fuse_bn(bb.conv1, bb.bn1)
del bb.bn1
fuse_bn(bb.conv2, bb.bn2)
del bb.bn2
if (hasattr(bb, 'conv3')):
fuse_bn(bb.conv3, bb.bn3)
del bb.bn3
if (bb.downsample):
fuse_bn(bb.downsample[0], bb.downsample[1])
del bb.downsample[1]