Hi @VladOS95-cyber! Thanks a lot for working on the model, super excited to see it merged! It’s a state-of-the-art real-time object detection model at the moment 🚀

Before diving into the implementation details, here are some general comments we need to address in the PR:

• Integration Tests
  Let's set up integration tests to ensure output consistency is maintained while refactoring the modeling code. Please use torch.testing.assert_close when comparing tensors (not use self.assertTrue(torch.allclose(...))

• Modeling Code & RT-DETRv2
  Great job keeping using modular! I see it's based on RT-DETR, but RT-DETRv2 was just merged yesterday. It might be helpful, especially since I noticed the v2 attention is used.

• Model Organization
  Each model should have its own folder. We should separate the backbone model and the D-Fine model, following the same structure as RT-DETR. Checked RT-DETR, it's actually 2 models in one folder, so we can leave it as is (in case you didn't change yet)

• Consistent Naming for Classes & Modules

  • Model names and types: DFine and d_fine, DFineResnet and d_fine_resnet.
  • All module names should be prefixed with the model name. For example, instead of ResidualBlock, use DFineResnetResidualBlock.

• Code Paths & Cleanup
  Remove unused conditional statements if no existing configuration requires them. Also, remove the unnecessary config parameters.

  # Instead of:
  if config.use_last_layer_norm:
      self.norm = nn.LayerNorm()
  else:
      self.norm = nn.Identity()

  # If `use_last_layer_norm = True` in all configs, simplify it to:  
  self.norm = nn.LayerNorm()

• Code Style

  • Use clear, descriptive variable names: avoid single-letter (x) or placeholder (tmp) variables.
  • Add comments for non-obvious code.
  • Use type hints for modules (e.g. in __init__ and forward).

• Conversion Script Standard
  Please follow the mllama model format for the conversion script. Define a single key mapping using regex (see rt_detr_v2, ijepa, mllama, superglue models for reference). This is our new standard for all newly added models.

Thanks again! Looking forward to the updates 🚀

Hey @VladOS95-cyber, I made an initial review for modular_d_fine. Looks much better, thanks for the update! See the comment below, and all these also related to backbone file as well