## Introduction
This directory contains our pytorch implementation of Tensorized Transformer. The code is based on the code( https://github.com/kimiyoung/transformer-xl). Note that our state-of-the-art results reported in the paper were obtained by training the model on a GPU.
## Prerequisite
- Pytorch 1.0.0
## Data Prepration(Language Modeling)
PTB, Wiki-Text-103, One-Billion.
## Training and Evaluation
if run Language Modeling Test in the case of one core, then
bash run_(ptb/wt1o3).sh
if run Language Modeling Test in the case of multiple core, then
first set the hyperparameter core_nums in the transformer_upload.py file to 2, then run the bash file.
