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""" Conv2d + BN + Act
Hacked together by / Copyright 2020 Ross Wightman
"""
from typing import Any, Dict, Optional, Type
from torch import nn as nn
from .typing import LayerType, PadType
from .blur_pool import create_aa
from .create_conv2d import create_conv2d
from .create_norm_act import get_norm_act_layer
class ConvNormAct(nn.Module):
def __init__(
self,
in_channels: int,
out_channels: int,
kernel_size: int = 1,
stride: int = 1,
padding: PadType = '',
dilation: int = 1,
groups: int = 1,
bias: bool = False,
apply_norm: bool = True,
apply_act: bool = True,
norm_layer: LayerType = nn.BatchNorm2d,
act_layer: Optional[LayerType] = nn.ReLU,
aa_layer: Optional[LayerType] = None,
drop_layer: Optional[Type[nn.Module]] = None,
conv_kwargs: Optional[Dict[str, Any]] = None,
norm_kwargs: Optional[Dict[str, Any]] = None,
act_kwargs: Optional[Dict[str, Any]] = None,
):
super(ConvNormAct, self).__init__()
conv_kwargs = conv_kwargs or {}
norm_kwargs = norm_kwargs or {}
act_kwargs = act_kwargs or {}
use_aa = aa_layer is not None and stride > 1
self.conv = create_conv2d(
in_channels,
out_channels,
kernel_size,
stride=1 if use_aa else stride,
padding=padding,
dilation=dilation,
groups=groups,
bias=bias,
**conv_kwargs,
)
if apply_norm:
# NOTE for backwards compatibility with models that use separate norm and act layer definitions
norm_act_layer = get_norm_act_layer(norm_layer, act_layer)
# NOTE for backwards (weight) compatibility, norm layer name remains `.bn`
if drop_layer:
norm_kwargs['drop_layer'] = drop_layer
self.bn = norm_act_layer(
out_channels,
apply_act=apply_act,
act_kwargs=act_kwargs,
**norm_kwargs,
)
else:
self.bn = nn.Sequential()
if drop_layer:
norm_kwargs['drop_layer'] = drop_layer
self.bn.add_module('drop', drop_layer())
self.aa = create_aa(aa_layer, out_channels, stride=stride, enable=use_aa, noop=None)
@property
def in_channels(self):
return self.conv.in_channels
@property
def out_channels(self):
return self.conv.out_channels
def forward(self, x):
x = self.conv(x)
x = self.bn(x)
aa = getattr(self, 'aa', None)
if aa is not None:
x = self.aa(x)
return x
ConvBnAct = ConvNormAct
ConvNormActAa = ConvNormAct # backwards compat, when they were separate
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