【扒网络架构】backbone、ccff

backbone

CCFF

还不知道网络连接方式，只是知道了每一层

backbone

1. backbone.backbone.conv1.weight torch.Size([64, 3, 7, 7])
2. backbone.backbone.layer1.0.conv1.weight torch.Size([64, 64, 1, 1])
3. backbone.backbone.layer1.0.conv2.weight torch.Size([64, 64, 3, 3])
4. backbone.backbone.layer1.0.conv3.weight torch.Size([256, 64, 1, 1])
5. backbone.backbone.layer1.0.downsample.0.weight torch.Size([256, 64, 1, 1])
6. backbone.backbone.layer1.1.conv1.weight torch.Size([64, 256, 1, 1])
7. backbone.backbone.layer1.1.conv2.weight torch.Size([64, 64, 3, 3])
8. backbone.backbone.layer1.1.conv3.weight torch.Size([256, 64, 1, 1])
9. backbone.backbone.layer1.2.conv1.weight torch.Size([64, 256, 1, 1])
10. backbone.backbone.layer1.2.conv2.weight torch.Size([64, 64, 3, 3])
11. backbone.backbone.layer1.2.conv3.weight torch.Size([256, 64, 1, 1])
12. backbone.backbone.layer2.0.conv1.weight torch.Size([128, 256, 1, 1])
13. backbone.backbone.layer2.0.conv2.weight torch.Size([128, 128, 3, 3])
14. backbone.backbone.layer2.0.conv3.weight torch.Size([512, 128, 1, 1])
15. backbone.backbone.layer2.0.downsample.0.weight torch.Size([512, 256, 1, 1])
16. backbone.backbone.layer2.1.conv1.weight torch.Size([128, 512, 1, 1])
17. backbone.backbone.layer2.1.conv2.weight torch.Size([128, 128, 3, 3])
18. backbone.backbone.layer2.1.conv3.weight torch.Size([512, 128, 1, 1])
19. backbone.backbone.layer2.2.conv1.weight torch.Size([128, 512, 1, 1])
20. backbone.backbone.layer2.2.conv2.weight torch.Size([128, 128, 3, 3])
21. backbone.backbone.layer2.2.conv3.weight torch.Size([512, 128, 1, 1])
22. backbone.backbone.layer2.3.conv1.weight torch.Size([128, 512, 1, 1])
23. backbone.backbone.layer2.3.conv2.weight torch.Size([128, 128, 3, 3])
24. backbone.backbone.layer2.3.conv3.weight torch.Size([512, 128, 1, 1])
25. backbone.backbone.layer3.0.conv1.weight torch.Size([256, 512, 1, 1])
26. backbone.backbone.layer3.0.conv2.weight torch.Size([256, 256, 3, 3])
27. backbone.backbone.layer3.0.conv3.weight torch.Size([1024, 256, 1, 1])
28. backbone.backbone.layer3.0.downsample.0.weight torch.Size([1024, 512, 1, 1])
29. backbone.backbone.layer3.1.conv1.weight torch.Size([256, 1024, 1, 1])
30. backbone.backbone.layer3.1.conv2.weight torch.Size([256, 256, 3, 3])
31. backbone.backbone.layer3.1.conv3.weight torch.Size([1024, 256, 1, 1])
32. backbone.backbone.layer3.2.conv1.weight torch.Size([256, 1024, 1, 1])
33. backbone.backbone.layer3.2.conv2.weight torch.Size([256, 256, 3, 3])
34. backbone.backbone.layer3.2.conv3.weight torch.Size([1024, 256, 1, 1])
35. backbone.backbone.layer3.3.conv1.weight torch.Size([256, 1024, 1, 1])
36. backbone.backbone.layer3.3.conv2.weight torch.Size([256, 256, 3, 3])
37. backbone.backbone.layer3.3.conv3.weight torch.Size([1024, 256, 1, 1])
38. backbone.backbone.layer3.4.conv1.weight torch.Size([256, 1024, 1, 1])
39. backbone.backbone.layer3.4.conv2.weight torch.Size([256, 256, 3, 3])
40. backbone.backbone.layer3.4.conv3.weight torch.Size([1024, 256, 1, 1])
41. backbone.backbone.layer3.5.conv1.weight torch.Size([256, 1024, 1, 1])
42. backbone.backbone.layer3.5.conv2.weight torch.Size([256, 256, 3, 3])
43. backbone.backbone.layer3.5.conv3.weight torch.Size([1024, 256, 1, 1])
44. backbone.backbone.layer4.0.conv1.weight torch.Size([512, 1024, 1, 1])
45. backbone.backbone.layer4.0.conv2.weight torch.Size([512, 512, 3, 3])
46. backbone.backbone.layer4.0.conv3.weight torch.Size([2048, 512, 1, 1])
47. backbone.backbone.layer4.0.downsample.0.weight torch.Size([2048, 1024, 1, 1])
48. backbone.backbone.layer4.1.conv1.weight torch.Size([512, 2048, 1, 1])
49. backbone.backbone.layer4.1.conv2.weight torch.Size([512, 512, 3, 3])
50. backbone.backbone.layer4.1.conv3.weight torch.Size([2048, 512, 1, 1])
51. backbone.backbone.layer4.2.conv1.weight torch.Size([512, 2048, 1, 1])
52. backbone.backbone.layer4.2.conv2.weight torch.Size([512, 512, 3, 3])
53. backbone.backbone.layer4.2.conv3.weight torch.Size([2048, 512, 1, 1])
54. backbone.backbone.fc.weight torch.Size([1000, 2048])
55. backbone.backbone.fc.bias torch.Size([1000])

ccf

1. ccff.conv1.conv.weight torch.Size([3584, 3584, 1, 1])
2. ccff.conv1.norm.weight torch.Size([3584])
3. ccff.conv1.norm.bias torch.Size([3584])
4. ccff.conv2.conv.weight torch.Size([3584, 3584, 1, 1])
5. ccff.conv2.norm.weight torch.Size([3584])
6. ccff.conv2.norm.bias torch.Size([3584])
7. ccff.bottlenecks.0.conv1.conv.weight torch.Size([3584, 3584, 3, 3])
8. ccff.bottlenecks.0.conv1.norm.weight torch.Size([3584])
9. ccff.bottlenecks.0.conv1.norm.bias torch.Size([3584])
10. ccff.bottlenecks.0.conv2.conv.weight torch.Size([3584, 3584, 1, 1])
11. ccff.bottlenecks.0.conv2.norm.weight torch.Size([3584])
12. ccff.bottlenecks.0.conv2.norm.bias torch.Size([3584])
13. ccff.bottlenecks.1.conv1.conv.weight torch.Size([3584, 3584, 3, 3])
14. ccff.bottlenecks.1.conv1.norm.weight torch.Size([3584])
15. ccff.bottlenecks.1.conv1.norm.bias torch.Size([3584])
16. ccff.bottlenecks.1.conv2.conv.weight torch.Size([3584, 3584, 1, 1])
17. ccff.bottlenecks.1.conv2.norm.weight torch.Size([3584])
18. ccff.bottlenecks.1.conv2.norm.bias torch.Size([3584])
19. ccff.bottlenecks.2.conv1.conv.weight torch.Size([3584, 3584, 3, 3])
20. ccff.bottlenecks.2.conv1.norm.weight torch.Size([3584])
21. ccff.bottlenecks.2.conv1.norm.bias torch.Size([3584])
22. ccff.bottlenecks.2.conv2.conv.weight torch.Size([3584, 3584, 1, 1])
23. ccff.bottlenecks.2.conv2.norm.weight torch.Size([3584])
24. ccff.bottlenecks.2.conv2.norm.bias torch.Size([3584])

input_proj

1. input_proj.weight torch.Size([256, 3584, 1, 1])
2. input_proj.bias torch.Size([256])

encoder

1. encoder.layers.0.norm1.weight torch.Size([256])
2. encoder.layers.0.norm1.bias torch.Size([256])
3. encoder.layers.0.norm2.weight torch.Size([256])
4. encoder.layers.0.norm2.bias torch.Size([256])
5. encoder.layers.0.self_attn.in_proj_weight torch.Size([768, 256])
6. encoder.layers.0.self_attn.in_proj_bias torch.Size([768])
7. encoder.layers.0.self_attn.out_proj.weight torch.Size([256, 256])
8. encoder.layers.0.self_attn.out_proj.bias torch.Size([256])
9. encoder.layers.0.mlp.linear1.weight torch.Size([2048, 256])
10. encoder.layers.0.mlp.linear1.bias torch.Size([2048])
11. encoder.layers.0.mlp.linear2.weight torch.Size([256, 2048])
12. encoder.layers.0.mlp.linear2.bias torch.Size([256])
13. encoder.layers.1.norm1.weight torch.Size([256])
14. encoder.layers.1.norm1.bias torch.Size([256])
15. encoder.layers.1.norm2.weight torch.Size([256])
16. encoder.layers.1.norm2.bias torch.Size([256])
17. encoder.layers.1.self_attn.in_proj_weight torch.Size([768, 256])
18. encoder.layers.1.self_attn.in_proj_bias torch.Size([768])
19. encoder.layers.1.self_attn.out_proj.weight torch.Size([256, 256])
20. encoder.layers.1.self_attn.out_proj.bias torch.Size([256])
21. encoder.layers.1.mlp.linear1.weight torch.Size([2048, 256])
22. encoder.layers.1.mlp.linear1.bias torch.Size([2048])
23. encoder.layers.1.mlp.linear2.weight torch.Size([256, 2048])
24. encoder.layers.1.mlp.linear2.bias torch.Size([256])
25. encoder.layers.2.norm1.weight torch.Size([256])
26. encoder.layers.2.norm1.bias torch.Size([256])
27. encoder.layers.2.norm2.weight torch.Size([256])
28. encoder.layers.2.norm2.bias torch.Size([256])
29. encoder.layers.2.self_attn.in_proj_weight torch.Size([768, 256])
30. encoder.layers.2.self_attn.in_proj_bias torch.Size([768])
31. encoder.layers.2.self_attn.out_proj.weight torch.Size([256, 256])
32. encoder.layers.2.self_attn.out_proj.bias torch.Size([256])
33. encoder.layers.2.mlp.linear1.weight torch.Size([2048, 256])
34. encoder.layers.2.mlp.linear1.bias torch.Size([2048])
35. encoder.layers.2.mlp.linear2.weight torch.Size([256, 2048])
36. encoder.layers.2.mlp.linear2.bias torch.Size([256])
37. encoder.norm.weight torch.Size([256])
38. encoder.norm.bias torch.Size([256])

ope

1. ope.iterative_adaptation.layers.0.norm1.weight torch.Size([256])
2. ope.iterative_adaptation.layers.0.norm1.bias torch.Size([256])
3. ope.iterative_adaptation.layers.0.norm2.weight torch.Size([256])
4. ope.iterative_adaptation.layers.0.norm2.bias torch.Size([256])
5. ope.iterative_adaptation.layers.0.norm3.weight torch.Size([256])
6. ope.iterative_adaptation.layers.0.norm3.bias torch.Size([256])
7. ope.iterative_adaptation.layers.0.self_attn.in_proj_weight torch.Size([768, 256])
8. ope.iterative_adaptation.layers.0.self_attn.in_proj_bias torch.Size([768])
9. ope.iterative_adaptation.layers.0.self_attn.out_proj.weight torch.Size([256, 256])
10. ope.iterative_adaptation.layers.0.self_attn.out_proj.bias torch.Size([256])
11. ope.iterative_adaptation.layers.0.enc_dec_attn.in_proj_weight torch.Size([768, 256])
12. ope.iterative_adaptation.layers.0.enc_dec_attn.in_proj_bias torch.Size([768])
13. ope.iterative_adaptation.layers.0.enc_dec_attn.out_proj.weight torch.Size([256, 256])
14. ope.iterative_adaptation.layers.0.enc_dec_attn.out_proj.bias torch.Size([256])
15. ope.iterative_adaptation.layers.0.mlp.linear1.weight torch.Size([2048, 256])
16. ope.iterative_adaptation.layers.0.mlp.linear1.bias torch.Size([2048])
17. ope.iterative_adaptation.layers.0.mlp.linear2.weight torch.Size([256, 2048])
18. ope.iterative_adaptation.layers.0.mlp.linear2.bias torch.Size([256])
19. ope.iterative_adaptation.layers.1.norm1.weight torch.Size([256])
20. ope.iterative_adaptation.layers.1.norm1.bias torch.Size([256])
21. ope.iterative_adaptation.layers.1.norm2.weight torch.Size([256])
22. ope.iterative_adaptation.layers.1.norm2.bias torch.Size([256])
23. ope.iterative_adaptation.layers.1.norm3.weight torch.Size([256])
24. ope.iterative_adaptation.layers.1.norm3.bias torch.Size([256])
25. ope.iterative_adaptation.layers.1.self_attn.in_proj_weight torch.Size([768, 256])
26. ope.iterative_adaptation.layers.1.self_attn.in_proj_bias torch.Size([768])
27. ope.iterative_adaptation.layers.1.self_attn.out_proj.weight torch.Size([256, 256])
28. ope.iterative_adaptation.layers.1.self_attn.out_proj.bias torch.Size([256])
29. ope.iterative_adaptation.layers.1.enc_dec_attn.in_proj_weight torch.Size([768, 256])
30. ope.iterative_adaptation.layers.1.enc_dec_attn.in_proj_bias torch.Size([768])
31. ope.iterative_adaptation.layers.1.enc_dec_attn.out_proj.weight torch.Size([256, 256])
32. ope.iterative_adaptation.layers.1.enc_dec_attn.out_proj.bias torch.Size([256])
33. ope.iterative_adaptation.layers.1.mlp.linear1.weight torch.Size([2048, 256])
34. ope.iterative_adaptation.layers.1.mlp.linear1.bias torch.Size([2048])
35. ope.iterative_adaptation.layers.1.mlp.linear2.weight torch.Size([256, 2048])
36. ope.iterative_adaptation.layers.1.mlp.linear2.bias torch.Size([256])
37. ope.iterative_adaptation.layers.2.norm1.weight torch.Size([256])
38. ope.iterative_adaptation.layers.2.norm1.bias torch.Size([256])
39. ope.iterative_adaptation.layers.2.norm2.weight torch.Size([256])
40. ope.iterative_adaptation.layers.2.norm2.bias torch.Size([256])
41. ope.iterative_adaptation.layers.2.norm3.weight torch.Size([256])
42. ope.iterative_adaptation.layers.2.norm3.bias torch.Size([256])
43. ope.iterative_adaptation.layers.2.self_attn.in_proj_weight torch.Size([768, 256])
44. ope.iterative_adaptation.layers.2.self_attn.in_proj_bias torch.Size([768])
45. ope.iterative_adaptation.layers.2.self_attn.out_proj.weight torch.Size([256, 256])
46. ope.iterative_adaptation.layers.2.self_attn.out_proj.bias torch.Size([256])
47. ope.iterative_adaptation.layers.2.enc_dec_attn.in_proj_weight torch.Size([768, 256])
48. ope.iterative_adaptation.layers.2.enc_dec_attn.in_proj_bias torch.Size([768])
49. ope.iterative_adaptation.layers.2.enc_dec_attn.out_proj.weight torch.Size([256, 256])
50. ope.iterative_adaptation.layers.2.enc_dec_attn.out_proj.bias torch.Size([256])
51. ope.iterative_adaptation.layers.2.mlp.linear1.weight torch.Size([2048, 256])
52. ope.iterative_adaptation.layers.2.mlp.linear1.bias torch.Size([2048])
53. ope.iterative_adaptation.layers.2.mlp.linear2.weight torch.Size([256, 2048])
54. ope.iterative_adaptation.layers.2.mlp.linear2.bias torch.Size([256])
55. ope.iterative_adaptation.norm.weight torch.Size([256])
56. ope.iterative_adaptation.norm.bias torch.Size([256])

ope.shape_or_objectness

1. ope.shape_or_objectness.0.weight torch.Size([64, 2])
2. ope.shape_or_objectness.0.bias torch.Size([64])
3. ope.shape_or_objectness.2.weight torch.Size([256, 64])
4. ope.shape_or_objectness.2.bias torch.Size([256])
5. ope.shape_or_objectness.4.weight torch.Size([2304, 256])
6. ope.shape_or_objectness.4.bias torch.Size([2304])

回归头

1. regression_head.regressor.0.layer.0.weight torch.Size([128, 256, 3, 3])
2. regression_head.regressor.0.layer.0.bias torch.Size([128])
3. regression_head.regressor.1.layer.0.weight torch.Size([64, 128, 3, 3])
4. regression_head.regressor.1.layer.0.bias torch.Size([64])
5. regression_head.regressor.2.layer.0.weight torch.Size([32, 64, 3, 3])
6. regression_head.regressor.2.layer.0.bias torch.Size([32])
7. regression_head.regressor.3.weight torch.Size([1, 32, 1, 1])
8. regression_head.regressor.3.bias torch.Size([1])

辅助头

1. aux_heads.0.regressor.0.layer.0.weight torch.Size([128, 256, 3, 3])
2. aux_heads.0.regressor.0.layer.0.bias torch.Size([128])
3. aux_heads.0.regressor.1.layer.0.weight torch.Size([64, 128, 3, 3])
4. aux_heads.0.regressor.1.layer.0.bias torch.Size([64])
5. aux_heads.0.regressor.2.layer.0.weight torch.Size([32, 64, 3, 3])
6. aux_heads.0.regressor.2.layer.0.bias torch.Size([32])
7. aux_heads.0.regressor.3.weight torch.Size([1, 32, 1, 1])
8. aux_heads.0.regressor.3.bias torch.Size([1])
9. aux_heads.1.regressor.0.layer.0.weight torch.Size([128, 256, 3, 3])
10. aux_heads.1.regressor.0.layer.0.bias torch.Size([128])
11. aux_heads.1.regressor.1.layer.0.weight torch.Size([64, 128, 3, 3])
12. aux_heads.1.regressor.1.layer.0.bias torch.Size([64])
13. aux_heads.1.regressor.2.layer.0.weight torch.Size([32, 64, 3, 3])
14. aux_heads.1.regressor.2.layer.0.bias torch.Size([32])
15. aux_heads.1.regressor.3.weight torch.Size([1, 32, 1, 1])
16. aux_heads.1.regressor.3.bias torch.Size([1])

Total number of parameters in LOCA: 447974251

Total number of parameters in CCFF: 411099136（这个模块，参数量好大）