Knet v0.9.1 Release Notes

Compatibility

• Library discovery now done using CUDAapi.
• GPU direct peer access support (@cangumeli).
• Removed gpu-architecture compiler flags from build.jl to support machines with heterogenous gpu types.
• Added JuliaBox compatibility to Jupyter notebooks.

General

• Fixed default dropout behavior which was not applying dropout to input to obey the pdrop argument.
• Added support for mean(f::Function,x::KnetArray).
• Added vcat support for scalar arguments.
• Fixed batchnorm cpu backward pass (@CarloLucibello)

Documentation and Examples

• Grid image display support for notebooks (@ilkerkesen).
• Convolutional VAE example (@CarloLucibello).
• Reinforcement learning examples (@ozanarkancan).
• dl-tutorial collects updated notebooks @denizyuret uses in class.