|
from model.conv.CondConv import *
|
|
import torch
|
|
from torch import nn
|
|
from torch.nn import functional as F
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
input=torch.randn(2,32,64,64)
|
|
m=CondConv(in_planes=32,out_planes=64,kernel_size=3,stride=1,padding=1,bias=False)
|
|
out=m(input)
|
|
print(out.shape)
|