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fix amp pooling overflow #9670

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merged 9 commits into from
Jan 30, 2023
Merged

fix amp pooling overflow #9670

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9bc6cfc
fix amp pooling overflow
zylo117 Jan 29, 2023
c55cb1e
Update mmdet/models/backbones/csp_darknet.py
zylo117 Jan 29, 2023
74ba41e
simplified casting
zylo117 Jan 29, 2023
a1ac7c2
Merge branch 'open-mmlab:dev-3.x' into dev-3.x
zylo117 Jan 30, 2023
442e736
reformat code
zylo117 Jan 30, 2023
1c17c12
reformat code
zylo117 Jan 30, 2023
cacf6b2
reformat code
zylo117 Jan 30, 2023
4211fe7
reformat code
zylo117 Jan 30, 2023
08385d8
fix autocast
zylo117 Jan 30, 2023
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6 changes: 5 additions & 1 deletion mmdet/models/backbones/csp_darknet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -115,7 +115,11 @@ def __init__(self,

def forward(self, x):
x = self.conv1(x)
x = torch.cat([x] + [pooling(x) for pooling in self.poolings], dim=1)
if x.dtype == torch.float16:
x = x.float()
x = torch.cat([x] + [pooling(x) for pooling in self.poolings], dim=1).half()
else:
x = torch.cat([x] + [pooling(x) for pooling in self.poolings], dim=1)
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x = self.conv2(x)
return x

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5 changes: 4 additions & 1 deletion mmdet/models/layers/se_layer.py
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Expand Up @@ -152,7 +152,10 @@ def __init__(self, channels: int, init_cfg: OptMultiConfig = None) -> None:

def forward(self, x: Tensor) -> Tensor:
"""Forward function for ChannelAttention."""
out = self.global_avgpool(x)
if x.dtype == torch.float16:
out = self.global_avgpool(x.float()).half()
else:
out = self.global_avgpool(x)
out = self.fc(out)
out = self.act(out)
return x * out