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Benchmark PyTorch and Flux.jl

Platform and Version Info

Ubuntu 14.04 with Tesla K40 GPU.

Tool CUDA Python PyTorch Julia Flux.jl CuArrays.jl
Version 8.0 3.5 0.4.1 1.0.1 0.6.7 0.8.1

Feed Forward Neural Net

mlp

GPU Usage Time Accuracy
PyTorch 287 MB 89 s 0.978
Flux 303 MB 27 s 0.979

Convolutional Neural Net

convnet

GPU Usage Time Accuracy
PyTorch 414 MB 92 s 0.992
Flux 1302 MB 76 s 0.992

Residual Neural Net

resnet

GPU Usage Time Accuracy
PyTorch 769 MB 256 s 0.782
Flux

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benchmark-flux-pytorch's Issues

Any recent comparison?

Hi, is there any recent benchmark comparison for current version of Flux and Pytorch?

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