The SLIDE package contains the source code for reproducing the main experiments in this paper.
The Datasets can be downloaded in Amazon-670K.
We suggest directly get Tensorflow docker image to install [Tensorflow-GPU] (https://www.tensorflow.org/install/docker). For Tensorflow-CPU compiled with AVX2, we recommend using this precompiled build.
config.py controls the parameters of Tensorflow training like learning rate. example_full_softmax.py, example_sampled_softmax.py are example files for Amazon-670K dataset with full softmax and sampled softmax respectively.
Run
python python_examples/example_full_softmax.py
python python_examples/example_sampled_softmax.py
Firstly, CNPY package needs to be installed.
Additionally, Transparent Huge Pages must be enabled. SLIDE requires approximately 900 2MB pages, and 10 1GB pages. (Instructions)
Run
make
./runme Config_amz.csv
Note that Makefile needs to be modified based on the CNPY path. Also the trainData, testData, logFile in Config_amz.csv needs to be changed accordingly too.