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[BugFix]Fix ppmobileseg #3443

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Merged
juncaipeng merged 1 commit into from
Aug 10, 2023
Merged

[BugFix]Fix ppmobileseg #3443

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28 changes: 9 additions & 19 deletions paddleseg/models/backbones/strideformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -103,15 +103,11 @@ def __init__(self,
self.inj_type = inj_type
if self.inj_type == "AAM":
self.inj_module = InjectionMultiSumallmultiallsum(
in_channels=out_feat_chs,
activations=act_layer,
out_channels=out_channels)
in_channels=out_feat_chs, out_channels=out_channels)
self.feat_channels = [out_channels, ]
elif self.inj_type == "AAMSx8":
self.inj_module = InjectionMultiSumallmultiallsumSimpx8(
in_channels=out_feat_chs,
activations=act_layer,
out_channels=out_channels)
in_channels=out_feat_chs, out_channels=out_channels)
self.feat_channels = [out_channels, ]
elif self.inj_type == 'origin':
for i in range(len(dims)):
Expand Down Expand Up @@ -641,11 +637,11 @@ def forward(self, x):


class Fusion_block(nn.Layer):
def __init__(self, inp, oup, embed_dim, activations=None) -> None:
def __init__(self, inp, oup, embed_dim) -> None:
super(Fusion_block, self).__init__()
self.local_embedding = ConvBNAct(inp, embed_dim, kernel_size=1)
self.global_act = ConvBNAct(oup, embed_dim, kernel_size=1)
self.act = activations()
self.act = nn.Sigmoid()

def forward(self, x_l, x_g):
'''
Expand All @@ -669,10 +665,7 @@ def forward(self, x_l, x_g):


class InjectionMultiSumallmultiallsum(nn.Layer):
def __init__(self,
in_channels=(64, 128, 256, 384),
activations=None,
out_channels=256):
def __init__(self, in_channels=(64, 128, 256, 384), out_channels=256):
super(InjectionMultiSumallmultiallsum, self).__init__()
self.embedding_list = nn.LayerList()
self.act_embedding_list = nn.LayerList()
Expand All @@ -684,7 +677,7 @@ def __init__(self,
self.act_embedding_list.append(
ConvBNAct(
in_channels[i], out_channels, kernel_size=1))
self.act_list.append(activations())
self.act_list.append(nn.Sigmoid())

def forward(self, inputs): # x_x8, x_x16, x_x32, x_x64
low_feat1 = F.interpolate(inputs[0], scale_factor=0.5, mode="bilinear")
Expand Down Expand Up @@ -713,10 +706,7 @@ def forward(self, inputs): # x_x8, x_x16, x_x32, x_x64


class InjectionMultiSumallmultiallsumSimpx8(nn.Layer):
def __init__(self,
in_channels=(64, 128, 256, 384),
activations=None,
out_channels=256):
def __init__(self, in_channels=(64, 128, 256, 384), out_channels=256):
super(InjectionMultiSumallmultiallsumSimpx8, self).__init__()
self.embedding_list = nn.LayerList()
self.act_embedding_list = nn.LayerList()
Expand All @@ -730,7 +720,7 @@ def __init__(self,
self.act_embedding_list.append(
ConvBNAct(
in_channels[i], out_channels, kernel_size=1))
self.act_list.append(activations())
self.act_list.append(nn.Sigmoid())

def forward(self, inputs):
# x_x8, x_x16, x_x32
Expand Down Expand Up @@ -815,4 +805,4 @@ def MobileSeg_Tiny(**kwargs):
act_layer=nn.ReLU6,
**kwargs)

return model
return model