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| author | Jordan Gong <jordan.gong@protonmail.com> | 2020-12-23 19:21:29 +0800 |
|---|---|---|
| committer | Jordan Gong <jordan.gong@protonmail.com> | 2020-12-23 19:21:29 +0800 |
| commit | fa745aa38edce88f5d92e7f7242a111c3d892161 (patch) | |
| tree | 2decfb5ef1327b8def2bf5b2f5a06593cc3b8f46 | |
| parent | 96f345d25237c7e616ea5f524a2fc2d340ed8aff (diff) | |
Remove redundant Leaky ReLU in FocalConv2d
| -rw-r--r-- | models/layers.py | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/models/layers.py b/models/layers.py index e737df2..a0e35f0 100644 --- a/models/layers.py +++ b/models/layers.py @@ -2,7 +2,6 @@ from typing import Union, Tuple import torch import torch.nn as nn -import torch.nn.functional as F class FocalConv2d(nn.Module): @@ -24,4 +23,4 @@ class FocalConv2d(nn.Module): split_size = h // 2 ** self.halving z = x.split(split_size, dim=2) z = torch.cat([self.conv(_) for _ in z], dim=2) - return F.leaky_relu(z, inplace=True) + return z |