def rn32_cf100_exg_d_sep_fixed_eye():
model = ResNet_alt(BasicBlock, [5, 5, 5])
model.layer3[4].conv2 = nn.Sequential(
nn.Conv2d(64,
64,
kernel_size=3,
stride=1,
padding=1,
bias=False,
groups=64),
nn.Conv2d(64,
100,
kernel_size=1,
stride=1,
padding=0,
dilation=1,
groups=1,
bias=False))
model = __fixed_eye(model)
return model
def rn32_cf100_exnull_no_last_relu_fixed_eye():
model = rn32_cf100_exnull_no_last_relu()
model = __fixed_eye(model)
return model
def rn32_cf100_exnull_fixed_eye_no_bias():
model = rn32_cf100_exnull()
model = __no_bias(model)
model = __fixed_eye(model)
return model
def resnet32_cifar64_fixed_eye_no_bias():
model = resnet32_cifar64()
model = __no_bias(model)
model = __fixed_eye(model)
return model
def resnet32_cifar64_fixed_eye():
model = resnet32_cifar64()
model = __fixed_eye(model)
return model
def resnet32_cifar10_fixed_eye():
model = rn32_cf10()
model = __fixed_eye(model)
return model