swin transformer pytorch上的代码
时间: 2023-10-09 16:09:21 浏览: 64
以下是Swin Transformer在PyTorch上的代码示例:
```python
import torch
import torch.nn as nn
from swin_transformer import SwinTransformer
# 定义模型
class CustomModel(nn.Module):
def __init__(self):
super().__init__()
self.swin = SwinTransformer(
img_size=224,
patch_size=4,
in_chans=3,
num_classes=10,
embed_dim=96,
depths=[2, 2, 6, 2],
num_heads=[3, 6, 12, 24],
window_size=7,
mlp_ratio=4.0,
qkv_bias=True,
qk_scale=None,
drop_rate=0.0,
attn_drop_rate=0.0,
drop_path_rate=0.2,
norm_layer=nn.LayerNorm,
ape=False,
patch_norm=True,
use_checkpoint=False
)
def forward(self, x):
x = self.swin(x)
return x
# 初始化模型并进行前向传播
model = CustomModel()
x = torch.randn(1, 3, 224, 224)
output = model(x)
```