Pytorch 1.6

[drapado]

I changed the Pytorch-1.0 branch to make it work with Pytorch 1.6.0 and CUDA 10.2 (on python 3.6.11).

To install you'll need to:

1. Download the code with these changes
2. Open a terminal and go to the densefusion directory
3. Run the following commands:

   pip install opencv-python scipy pyyaml
   cd lib/knn
   python setup.py install
   cd dist
   unzip knn_pytorch-0.1-py3.6-linux-x86_64.egg 
   cp knn_pytorch/knn_pytorch.py ../knn_pytorch.py
   cp knn_pytorch/knn_pytorch.cpython-36m-x86_64-linux-gnu.so ../knn_pytorch.cpython-36m-x86_64-linux-gnu.so
   cd ../../..

   The changes are:

4. Line 38 on lib/knn/src/knn.h: From this: dist_dev, idx_dev + b * k * query_nb, THCState_getCurrentStream(state)); to this: dist_dev, idx_dev + b * k * query_nb, at::cuda::getCurrentCUDAStream()); since THCState_getCurrentStream(state) is deprecated (see here and here)
5. Adapted class KNearestNeighbor from /lib/knn/init.py and /lib/loss.py accordingly to solve the issue Legacy autograd function with non-static forward method is deprecated following the documentation

[drapado]

Close because I found an error, will re-upload soon

[opr-sergey]

@drapado you resolved error, i have same problem