Uno
Uno
The real "game changer" for me was to run `envs_reset()` at each iteration
I think the problem arises from the fact that the implementation doesn't use  See [Issue 3](https://github.com/Hui-Li/multi-task-learning-example-PyTorch/issues/3)
Has anyone successfully downloaded the SIDD dataset?
You might want to try to run a Docker Container or a VM running Linux on your Mac
You need at least 27GB of GPU memory for the 7B parameter model (around 10GB for the 3B one)
@patricklabatut - any updates on the depth estimation code? I am having a hard time reproducing with the same quality you show in the paper
Hi, great paper and very interesting work Any ETA now on the release of the code? Thanks