(self, in_channels, out_channels, name)
| 99 | |
| 100 | class InceptionModule(nn.Module): |
| 101 | def __init__(self, in_channels, out_channels, name): |
| 102 | super(InceptionModule, self).__init__() |
| 103 | |
| 104 | self.b0 = Unit3D(in_channels=in_channels, output_channels=out_channels[0], kernel_shape=[1, 1, 1], padding=0, |
| 105 | name=name + '/Branch_0/Conv3d_0a_1x1') |
| 106 | self.b1a = Unit3D(in_channels=in_channels, output_channels=out_channels[1], kernel_shape=[1, 1, 1], padding=0, |
| 107 | name=name + '/Branch_1/Conv3d_0a_1x1') |
| 108 | self.b1b = Unit3D(in_channels=out_channels[1], output_channels=out_channels[2], kernel_shape=[3, 3, 3], |
| 109 | name=name + '/Branch_1/Conv3d_0b_3x3') |
| 110 | self.b2a = Unit3D(in_channels=in_channels, output_channels=out_channels[3], kernel_shape=[1, 1, 1], padding=0, |
| 111 | name=name + '/Branch_2/Conv3d_0a_1x1') |
| 112 | self.b2b = Unit3D(in_channels=out_channels[3], output_channels=out_channels[4], kernel_shape=[3, 3, 3], |
| 113 | name=name + '/Branch_2/Conv3d_0b_3x3') |
| 114 | self.b3a = MaxPool3dSamePadding(kernel_size=[3, 3, 3], |
| 115 | stride=(1, 1, 1), padding=0) |
| 116 | self.b3b = Unit3D(in_channels=in_channels, output_channels=out_channels[5], kernel_shape=[1, 1, 1], padding=0, |
| 117 | name=name + '/Branch_3/Conv3d_0b_1x1') |
| 118 | self.name = name |
| 119 | |
| 120 | def forward(self, x): |
| 121 | b0 = self.b0(x) |
nothing calls this directly
no test coverage detected