cudanet-neon
============
Ubuntu Core 14.04 + [CUDA 7.0.28](http://www.nvidia.com/object/cuda_home_new.html) + [neon](http://neon.nervanasys.com/) ([cudanet](https://github.com/NervanaSystems/cuda-convnet2/) backend).

Requirements
------------

- Host with corresponding CUDA drivers (v. 346.46) installed for the kernel module.

Usage
-----
The container must have all NVIDIA devices attached to it for CUDA to work properly.
Therefore the command will be as such: `docker run -it --device /dev/nvidiactl:/dev/nvidiactl --device /dev/nvidia-uvm:/dev/nvidia-uvm --device /dev/nvidia0:/dev/nvidia0 kaixhin/cudanet-neon`.
With 4 GPUs this would also have to include `--device /dev/nvidia1:/dev/nvidia1 --device /dev/nvidia2:/dev/nvidia2 --device /dev/nvidia3:/dev/nvidia3`.

Citation
--------
If you find this useful in research please consider [citing this work](https://github.com/Kaixhin/dockerfiles/blob/master/CITATION.md).

cudanet-neon
============
Ubuntu Core 14.04 + [CUDA 7.0.28](http://www.nvidia.com/object/cuda_home_new.html) + [neon](http://neon.nervanasys.com/) ([cudanet](https://github.com/NervanaSystems/cuda-convnet2/) backend).

**NB: Weekly builds have been disabled until https://github.com/NervanaSystems/cuda-convnet2/issues/3 is addressed.**

Requirements
------------

- Host with corresponding CUDA drivers (v. 346.46) installed for the kernel module.

Usage
-----
The container must have all NVIDIA devices attached to it for CUDA to work properly.
Therefore the command will be as such: `docker run -it --device /dev/nvidiactl:/dev/nvidiactl --device /dev/nvidia-uvm:/dev/nvidia-uvm --device /dev/nvidia0:/dev/nvidia0 kaixhin/cudanet-neon`.
With 4 GPUs this would also have to include `--device /dev/nvidia1:/dev/nvidia1 --device /dev/nvidia2:/dev/nvidia2 --device /dev/nvidia3:/dev/nvidia3`.

Citation
--------
If you find this useful in research please consider [citing this work](https://github.com/Kaixhin/dockerfiles/blob/master/CITATION.md).

Update (cudanet) neon build info
Update (cudanet) neon build info
