# DCNv2_latest

**Repository Path**: futureflsl/DCNv2_latest

## Basic Information

- **Project Name**: DCNv2_latest
- **Description**: DCNv2 supports decent pytorch such as torch 1.5+
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-12
- **Last Updated**: 2022-07-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## Deformable Convolutional Networks V2 with Pytorch 1.X

### Build
```bash
    ./make.sh         # build
    python testcpu.py    # run examples and gradient check on cpu
    python testcuda.py   # run examples and gradient check on gpu 
```
### Note
Now the master branch is for pytorch 1.x, you can switch back to pytorch 0.4 with,
```bash
git checkout pytorch_0.4
```

### Known Issues:

- [x] Gradient check w.r.t offset (solved)
- [ ] Backward is not reentrant (minor)

This is an adaption of the official [Deformable-ConvNets](https://github.com/msracver/Deformable-ConvNets/tree/master/DCNv2_op).

Update: all gradient check passes with **double** precision. 

Another issue is that it raises `RuntimeError: Backward is not reentrant`. However, the error is very small (`<1e-7` for 
float `<1e-15` for double), 
so it may not be a serious problem (?)

Please post an issue or PR if you have any comments.