nn.LayerNorm([self.planes, 1, 1]),
nn.ReLU(inplace=True), # yapf: disable
nn.Conv2d(self.planes, self.inplanes, kernel_size=1))
else:
self.channel_add_conv = None
if ‘channel_mul’ in fusion_types:
self.channel_mul_conv = nn.Sequential(
nn.Conv2d(self.inplanes, self.planes, kernel_size=1),
nn.LayerNorm([self.planes, 1, 1]),
nn.ReLU(inplace=True), # yapf: disable
nn.Conv2d(self.planes, self.inplanes, kernel_size=1))
else:
self.channel_mul_conv = None
def spatial_pool(self, x):
batch, channel, height, width = x.size()
if self.pooling_type == ‘att’:
input_x = x
[N, C, H * W]
input_x = input_x.view(batch, channel, height * width)
[N, 1, C, H * W]
input_x = input_x.unsqueeze(1)