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Commit bc4b7aab authored by Zhihuang Xie's avatar Zhihuang Xie
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Merge branch 'hop4_hop3_complexity' into 'VTM-11.0_nnvc' 

Hop4 hop3 complexity

See merge request jvet-ahg-nnvc/VVCSoftware_VTM!237
parents 1949f421 aa2d9ede
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training/training_scripts/NN_Filtering/HOP4/model/model.json
+ 1
− 1
View file @ bc4b7aab
......@@ -35,7 +35,7 @@
"D4" : 16,
"D5" : 16,
"D6" : 48,
"N" : 24,
"N" : 23,
"C" : 64,
"C1" : 192,
"C21" : 32,
......
training/training_scripts/NN_Filtering/HOP4/model/model.py
+ 6
− 5
View file @ bc4b7aab
......@@ -170,15 +170,15 @@ class Attn(nn.Module):
self.conv1_1 = nn.Conv2d(c, c, kernel_size=1, bias=False)
self.conv1_2 = nn.Conv2d(c, c, kernel_size=1, bias=False)
self.conv1_3 = nn.Conv2d(c, c, kernel_size=1, bias=False)
group = 8
self.conv3_1 = nn.Conv2d(
c, c, kernel_size=(3, 3), padding=(1, 1), groups=c, bias=False
c, c, kernel_size=(3, 3), padding=(1, 1), groups=group, bias=False
)
self.conv3_2 = nn.Conv2d(
c, c, kernel_size=(3, 3), padding=(1, 1), groups=c, bias=False
c, c, kernel_size=(3, 3), padding=(1, 1), groups=group, bias=False
)
self.conv3_3 = nn.Conv2d(
c, c, kernel_size=(3, 3), padding=(1, 1), groups=c, bias=False
c, c, kernel_size=(3, 3), padding=(1, 1), groups=group, bias=False
)
self.conv2 = nn.Conv2d(c, c, kernel_size=1, bias=False)
......@@ -373,11 +373,12 @@ class SADLNet(nn.Sequential):
patch_size = (
(patch_size, patch_size) if isinstance(patch_size, int) else patch_size
)
global model_for_export
return [
torch.rand(
batch_size, conv.in_channels, *patch_size, device=conv[0].weight.device
)
for conv in self[0].branches
for conv in model_for_export[0].branches
]
def to_onnx(
......
training/training_scripts/NN_Filtering/HOP4/quantize/quantize_bits_per_layer.txt
+ 1
− 1
View file @ bc4b7aab
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