def inverse(self, out_bij):
""" irevnet inverse """
out = split(out_bij)
for i in range(len(self.stack)):
out = self.stack[-1-i].inverse(out)
out = merge(out[0],out[1])
x = self.init_psi.inverse(out)
return x
def forward(self, x):
""" irevnet forward """
n = self.in_ch // 2
if self.init_ds != 0:
x = self.init_psi.forward(x)
out = (x[:, :n, :, :], x[:, n:, :, :])
for block in self.stack:
out = block.forward(out)
out = merge(out[0], out[1])
out = F.relu(self.bn1(self.conv1(out)))
out = self.tanh(self.conv2(out))
return out
def forward_features(self, x):
""" irevnet forward, last layer features"""
n = self.in_ch // 2
if self.init_ds != 0:
x = self.init_psi.forward(x)
out = (x[:, :n, :, :], x[:, n:, :, :])
for block in self.stack:
out = block.forward(out)
out_bij = merge(out[0], out[1])
out = F.relu(self.bn1(out_bij))
out = F.avg_pool2d(out, self.ds)
out = out.view(out.size(0), -1)
return out
def forward(self, x):
""" bijective or injective block forward """
if self.pad != 0 and self.stride == 1:
x = merge(x[0], x[1])
x = self.inj_pad.forward(x)
x1, x2 = split(x)
x = (x1, x2)
x1 = x[0]
x2 = x[1]
Fx2 = self.bottleneck_block(x2)
if self.stride == 2:
x1 = self.psi.forward(x1)
x2 = self.psi.forward(x2)
y1 = Fx2 + x1
return (x2, y1)
def forward(self, x):
stratx = x
n = self.inchannel // 2
out = (x[:, :n, :, :], x[:, n:, :, :])
for i in range(len(self.block_list)):
block = self.block_list[i]
out = block.forward(out)
out_bij = merge(out[0], out[1])
out_bij = out_bij + stratx
return out_bij
def inverse(self, x):
""" bijective or injecitve block inverse """
x2, y1 = x[0], x[1]
if self.stride == 2:
x2 = self.psi.inverse(x2)
Fx2 = -self.bottleneck_block(x2)
x1 = Fx2 + y1
if self.stride == 2:
x1 = self.psi.inverse(x1)
if self.pad != 0 and self.stride == 1:
x = merge(x1, x2)
x = self.inj_pad.inverse(x)
x1, x2 = split(x)
x = (x1, x2)
else:
x = (x1, x2)
return x
def inverse(self,x):
out = split(x)
for i in range(len(self.block_list)):
out = self.stack[-1 - i].inverse(out)
out = merge(out[0], out[1])
return out