Method
__init__
(
self,
out_dim,
mask_downsampler,
fuser,
position_encoding,
in_dim=256, # in_dim of pix_feats
)
Source from the content-addressed store, hash-verified
| 138 | class MemoryEncoder(nn.Module): |
| 139 | |
| 140 | def __init__( |
| 141 | self, |
| 142 | out_dim, |
| 143 | mask_downsampler, |
| 144 | fuser, |
| 145 | position_encoding, |
| 146 | in_dim=256, # in_dim of pix_feats |
| 147 | ): |
| 148 | super().__init__() |
| 149 | |
| 150 | self.mask_downsampler = mask_downsampler |
| 151 | |
| 152 | self.pix_feat_proj = nn.Conv2d(in_dim, in_dim, kernel_size=1) |
| 153 | self.fuser = fuser |
| 154 | self.position_encoding = position_encoding |
| 155 | self.out_proj = nn.Identity() |
| 156 | if out_dim != in_dim: |
| 157 | self.out_proj = nn.Conv2d(in_dim, out_dim, kernel_size=1) |
| 158 | |
| 159 | # save out_dim to avoid accessing model weights (breaks zero3) |
| 160 | self.out_dim = out_dim |
| 161 | |
| 162 | def forward( |
| 163 | self, |
Callers
nothing calls this directly
Tested by
no test coverage detected