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author | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-12 20:12:33 +0800 |
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committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-12 20:12:33 +0800 |
commit | e83ae0bcb5c763636fd522c2712a3c8aef558f3c (patch) | |
tree | b80da057e4c4574ea95fa9f3d3b2fe8c999e3440 /models/part_net.py | |
parent | f2f7713efa03a877bc96ced37314b4c4a6dc1963 (diff) | |
parent | 2ea916b2a963eae7d47151b41c8c78a578c402e2 (diff) |
Merge branch 'master' into data_parallel
# Conflicts:
# models/auto_encoder.py
# models/model.py
# models/rgb_part_net.py
Diffstat (limited to 'models/part_net.py')
-rw-r--r-- | models/part_net.py | 18 |
1 files changed, 13 insertions, 5 deletions
diff --git a/models/part_net.py b/models/part_net.py index 29cf9cd..f2236bf 100644 --- a/models/part_net.py +++ b/models/part_net.py @@ -111,17 +111,21 @@ class PartNet(nn.Module): def __init__( self, in_channels: int = 128, + embedding_dims: int = 256, + num_parts: int = 16, squeeze_ratio: int = 4, - num_part: int = 16 ): super().__init__() - self.num_part = num_part - self.tfa = TemporalFeatureAggregator( - in_channels, squeeze_ratio, self.num_part - ) + self.num_part = num_parts self.avg_pool = nn.AdaptiveAvgPool2d(1) self.max_pool = nn.AdaptiveMaxPool2d(1) + self.tfa = TemporalFeatureAggregator( + in_channels, squeeze_ratio, self.num_part + ) + self.fc_mat = nn.Parameter( + torch.empty(num_parts, in_channels, embedding_dims) + ) def forward(self, x): n, t, c, h, w = x.size() @@ -138,4 +142,8 @@ class PartNet(nn.Module): # p, n, t, c x = self.tfa(x) + + # p, n, c + x = x @ self.fc_mat + # p, n, d return x |