Eyal Gruss
Eyal Gruss
also the you are missing the args: d_h=1, d_w=1
hey, word2vec is not my work, i just slimmed it down :) and this should be quite obsolete nowadays... anyways, feel free to cite the repo if you wish e.g....
training facades took 10 hours on GTX1080 ~ 180 sec per epoch
@kaihuchen sorry for the obvious question, but did you install "tensorflow-gpu"?
1. changing the last layer from fully connected to a convolution as in the original pix2pix implementation did not give me any speedup 2. i think we should not run...
some benchmarks for the community: image_iterations/sec: 5.2 phillipi K80/torch/cuda8 1.1 yenchenlin K80/tf0.12.1/cuda7.5 1.2 yenchenlin K80/tf0.12.1/cuda8 1.2 yenchenlin K80/tf1.0/cuda8 2.2 yenchenlin 1080/tf0.12.0/cuda8 2.3 yenchenlin_mod K80/tf0.12.1/cuda7.5 2.5 yenchenlin_mod K80/tf0.12.1/cuda8 2.5 yenchenlin_mod K80/tf1.0/cuda8...
gone again
i fixed this on my fork. if interested i can make a PR
its very confusing
i committed changes to implement this and the cuda works, but i didn't get the cpu to work. seems like there is some cuda hardcoding in ddpm.py which gives: `...