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activation in ReparamLargeKernelConv is not used #2

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activation in ReparamLargeKernelConv is not used #2

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5 changes: 0 additions & 5 deletions models/modules/replknet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,6 @@ def __init__(
groups: int,
small_kernel: int,
inference_mode: bool = False,
activation: nn.Module = nn.GELU(),
) -> None:
"""Construct a ReparamLargeKernelConv module.

Expand All @@ -40,15 +39,13 @@ def __init__(
groups: Group number. Default: 1
small_kernel: Kernel size of small kernel conv branch.
inference_mode: If True, instantiates model in inference mode. Default: ``False``
activation: Activation module. Default: ``nn.GELU``
"""
super(ReparamLargeKernelConv, self).__init__()

self.stride = stride
self.groups = groups
self.in_channels = in_channels
self.out_channels = out_channels
self.activation = activation

self.kernel_size = kernel_size
self.small_kernel = small_kernel
Expand Down Expand Up @@ -84,8 +81,6 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
out = self.lkb_origin(x)
if hasattr(self, "small_conv"):
out += self.small_conv(x)

self.activation(out)
return out

def get_kernel_bias(self) -> Tuple[torch.Tensor, torch.Tensor]:
Expand Down