(
self,
in_channels=3 + 1,
inter_channels=48,
out_channels=96,
act_layer="GELU",
norm_layer="BN",
)
| 13 | """ |
| 14 | |
| 15 | def __init__( |
| 16 | self, |
| 17 | in_channels=3 + 1, |
| 18 | inter_channels=48, |
| 19 | out_channels=96, |
| 20 | act_layer="GELU", |
| 21 | norm_layer="BN", |
| 22 | ): |
| 23 | super().__init__() |
| 24 | self.conv1 = nn.Conv2d( |
| 25 | in_channels, inter_channels, kernel_size=3, stride=1, padding=1 |
| 26 | ) |
| 27 | self.norm1 = build_norm_layer( |
| 28 | inter_channels, norm_layer, "channels_first", "channels_first" |
| 29 | ) |
| 30 | self.act = build_act_layer(act_layer) |
| 31 | self.conv2 = nn.Conv2d( |
| 32 | inter_channels, out_channels, kernel_size=3, stride=1, padding=1 |
| 33 | ) |
| 34 | self.norm2 = build_norm_layer( |
| 35 | out_channels, norm_layer, "channels_first", "channels_first" |
| 36 | ) |
| 37 | |
| 38 | def forward(self, x): |
| 39 | x = self.conv1(x) |
nothing calls this directly
no test coverage detected