ramdrop

Training on 3DMatch dataset is not working

5

My system configuration: - System: Ubuntu 18.04 - PyTorch 1.9.0 + CUDA 11.1, A100 ``` (torch-points3d-s_H0q_C5-py3.9) (base) torch-points3d$ pip list Package Version --------------------------------- ------------ absl-py 1.0.0 addict 2.4.0 aiohttp 3.7.4.post0...

pycuda._driver.MemoryError: cuMemAlloc failed: out of memory

3

- System: Ubuntu 18.04 - PyTorch 1.9.0 + CUDA 11.1, A100 with 40GB memory. - Hydra 1.0.5 Hello, I run the command and got the output as follows: command: ```...

Hi, thanks for your excellent work. In the original paper you write: 3.4 Overall training objective (b) a smooth-L1 loss between the 2D points output after soft argmax and ground...

**Describe the bug** In README, it says: > Build the images by running `docker build . -t image-name:version` from within the minimal-ml-template directory. However, docker has not been installed on...