kaixhin/cuda-torch-mega repository overview

⁠docker-torch-mega

Available from the Docker Hub as kaixhin/cuda-torch-mega.

Ubuntu Core 14.04 + CUDA⁠ + cuDNN v5⁠ + Torch7⁠ (including iTorch). Includes the following additional packages:

• alewrap⁠
• autograd⁠
• classic⁠
• dataset⁠
• distlearn⁠
• dpnn⁠
• ffmpeg⁠
• gvnn⁠
• imagine-nn⁠
• ipc⁠
• loadcaffe⁠
• logroll⁠
• luaposix⁠
• LuaSocket⁠
• Moses⁠
• nccl⁠
• nninit⁠
• nnquery⁠
• OptNet⁠
• parallel⁠
• rlenvs⁠
• rnn⁠
• signal⁠
• tds⁠
• torchnet⁠
• torchx⁠
• twrl⁠
• xitari⁠

⁠Requirements

• NVIDIA Docker⁠ - see requirements⁠ for more details.

⁠Usage

Use NVIDIA Docker: nvidia-docker run -it kaixhin/cuda-torch-mega.

For more information on CUDA on Docker, see this readme⁠.

To use Jupyter/iTorch open up the appropriate port. For example, use nvidia-docker run -it -p 8888:8888 kaixhin/cuda-torch-mega. Then run jupyter notebook --ip="0.0.0.0" --no-browser to open a notebook on localhost:8888.