14 lines
381 B
Python
14 lines
381 B
Python
|
|
||
|
|
from model.backbone.HATNet import HATNet
|
||
|
|
import torch
|
||
|
|
from torch import nn
|
||
|
|
from torch.nn import functional as F
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
input=torch.randn(1,3,224,224)
|
||
|
|
hat = HATNet(dims=[48, 96, 240, 384], head_dim=48, expansions=[8, 8, 4, 4],
|
||
|
|
grid_sizes=[8, 7, 7, 1], ds_ratios=[8, 4, 2, 1], depths=[2, 2, 6, 3])
|
||
|
|
output=hat(input)
|
||
|
|
print(output.shape)
|
||
|
|
|