Feature Tensor Extraction Data is already within this repo, original gds can be found at https://www.cse.cuhk.edu.hk/~byu/files/benchmarks/gdsiccad.zip
See also the rasterized images https://huggingface.co/datasets/phdyang007/ICCAD12/tree/main
numpy, tensorflow (tested on 1.3 and 1.9), pandas, json, ConfigParser (configparser for python 3), progress
-Currently, FTE source code is applicable on Python 2 only.
python feature.py str<image_folder> str<output_feature_folder> int<block_size> int<block_dim> int<feature_length>
e.g. to test iccad1 of dac17, you need to modify iccad1_config.ini
set model_path=./models/iccad1/bl/model.ckpt
set aug=0 and
make iccad1_test in dlhsd directory
e.g. to train iccad1 of dac17, you need to modify iccad1_config.ini
set save_path=./models/iccad1/bl/model.ckpt
set aug=0 and
python train_dac.py iccad1_config.ini <gpu_id>
use train.py if you want to see some results of the TCAD extension
-20190326: Transferred to Python 3.x (If you want python2 version please find at tag dlhsd-py2)
-20181220: Add script for feature tensor extraction.
-20180827: Add the link of original images of layouts from the ICCAD benchmark (resolution: 1nm).
-20180705: Fix a bug that learning rate does not decay properly which might cause unstable results.