Interpolation module.
| 118 | |
| 119 | |
| 120 | class Interpolate(nn.Module): |
| 121 | """Interpolation module. |
| 122 | """ |
| 123 | |
| 124 | def __init__(self, scale_factor, mode, align_corners=False): |
| 125 | """Init. |
| 126 | |
| 127 | Args: |
| 128 | scale_factor (float): scaling |
| 129 | mode (str): interpolation mode |
| 130 | """ |
| 131 | super(Interpolate, self).__init__() |
| 132 | |
| 133 | self.interp = nn.functional.interpolate |
| 134 | self.scale_factor = scale_factor |
| 135 | self.mode = mode |
| 136 | self.align_corners = align_corners |
| 137 | |
| 138 | def forward(self, x): |
| 139 | """Forward pass. |
| 140 | |
| 141 | Args: |
| 142 | x (tensor): input |
| 143 | |
| 144 | Returns: |
| 145 | tensor: interpolated data |
| 146 | """ |
| 147 | |
| 148 | x = self.interp( |
| 149 | x, scale_factor=self.scale_factor, mode=self.mode, align_corners=self.align_corners |
| 150 | ) |
| 151 | |
| 152 | return x |
| 153 | |
| 154 | |
| 155 | class ResidualConvUnit(nn.Module): |