Inheritance diagram for GBlock:

Public Member Functions
	__init__ (self, in_channels, out_channels, which_conv=SNConv2d, which_bn=bn, activation=None, upsample=None, channel_ratio=4)
	Constructor.

	forward (self, x, y)
	forward

Public Attributes
	in_channels
	input channels

	out_channels = in_channels, out_channels
	input channels

	hidden_channels = self.in_channels // channel_ratio
	hidden channels

	which_conv
	which convolution

	which_bn = which_conv, which_bn
	which convolution

	activation = activation
	activation

	conv1
	conv1

	conv2 = self.which_conv(self.hidden_channels, self.hidden_channels)
	conv2

	conv3 = self.which_conv(self.hidden_channels, self.hidden_channels)
	conv3

	conv4
	conv4

	bn1 = self.which_bn(self.in_channels)
	bn1

	bn2 = self.which_bn(self.hidden_channels)
	bn2

	bn3 = self.which_bn(self.hidden_channels)
	bn3

	bn4 = self.which_bn(self.hidden_channels)
	bn4

	upsample = upsample
	upsample layers

Detailed Description

GBlock

Definition at line 990 of file ieagan.py.

Constructor & Destructor Documentation

◆ init()

__init__	(	self,
		in_channels,
		out_channels,
		which_conv = SNConv2d,
		which_bn = bn,
		activation = None,
		upsample = None,
		channel_ratio = 4 )

Constructor.

Definition at line 994 of file ieagan.py.

    ):
        super(GBlock, self).__init__()
 
        self.in_channels, self.out_channels = in_channels, out_channels
        
        self.hidden_channels = self.in_channels // channel_ratio
        
        self.which_conv, self.which_bn = which_conv, which_bn
        
        self.activation = activation
        # Conv layers
        
        self.conv1 = self.which_conv(
            self.in_channels, self.hidden_channels, kernel_size=1, padding=0
        )
        
        self.conv2 = self.which_conv(self.hidden_channels, self.hidden_channels)
        
        self.conv3 = self.which_conv(self.hidden_channels, self.hidden_channels)
        
        self.conv4 = self.which_conv(
            self.hidden_channels, self.out_channels, kernel_size=1, padding=0
        )
        # Batchnorm layers
        
        self.bn1 = self.which_bn(self.in_channels)
        
        self.bn2 = self.which_bn(self.hidden_channels)
        
        self.bn3 = self.which_bn(self.hidden_channels)
        
        self.bn4 = self.which_bn(self.hidden_channels)
        
        self.upsample = upsample

Member Function Documentation

◆ forward()

forward	(	self,
		x,
		y )

forward

Definition at line 1040 of file ieagan.py.

    def forward(self, x, y):
        # Project down to channel ratio
        h = self.conv1(self.activation(self.bn1(x, y)))
        # Apply next BN-ReLU
        h = self.activation(self.bn2(h, y))
        # Drop channels in x if necessary
        if self.in_channels != self.out_channels:
            x = x[:, : self.out_channels]
        # Upsample both h and x at this point
        if self.upsample:
            h = self.upsample(h)
            x = self.upsample(x)
        # 3x3 convs
        h = self.conv2(h)
        h = self.conv3(self.activation(self.bn3(h, y)))
        # Final 1x1 conv
        h = self.conv4(self.activation(self.bn4(h, y)))
        return h + x
 
 

Member Data Documentation

◆ activation

activation = activation

activation

Definition at line 1013 of file ieagan.py.

◆ bn1

bn1 = self.which_bn(self.in_channels)

bn1

Definition at line 1029 of file ieagan.py.

◆ bn2

bn2 = self.which_bn(self.hidden_channels)

bn2

Definition at line 1031 of file ieagan.py.

◆ bn3

bn3 = self.which_bn(self.hidden_channels)

bn3

Definition at line 1033 of file ieagan.py.

◆ bn4

bn4 = self.which_bn(self.hidden_channels)

bn4

Definition at line 1035 of file ieagan.py.

◆ conv1

conv1

Initial value:

=  self.which_conv(
            self.in_channels, self.hidden_channels, kernel_size=1, padding=0
        )

conv1

Definition at line 1016 of file ieagan.py.

◆ conv2

conv2 = self.which_conv(self.hidden_channels, self.hidden_channels)

conv2

Definition at line 1020 of file ieagan.py.

◆ conv3

conv3 = self.which_conv(self.hidden_channels, self.hidden_channels)

conv3

Definition at line 1022 of file ieagan.py.

◆ conv4

conv4

Initial value:

=  self.which_conv(
            self.hidden_channels, self.out_channels, kernel_size=1, padding=0
        )

conv4

Definition at line 1024 of file ieagan.py.

◆ hidden_channels

hidden_channels = self.in_channels // channel_ratio

hidden channels

Definition at line 1009 of file ieagan.py.

◆ in_channels

in_channels

input channels

Definition at line 1007 of file ieagan.py.

◆ out_channels

out_channels = in_channels, out_channels

input channels

Definition at line 1007 of file ieagan.py.

◆ upsample

upsample = upsample

upsample layers

Definition at line 1037 of file ieagan.py.

◆ which_bn

which_bn = which_conv, which_bn

which convolution

Definition at line 1011 of file ieagan.py.

◆ which_conv

which_conv