chore: add license
This is a simple implementation of Conditional Generative Adversarial Networks (CGAN) using Jittor. The code is derived from the official code.
You might want to make use of .env to use specific GCC version which matches the CUDA version. For example,
.env
$ cat .env export MAX_GCC_VERSION=11 export cc_path="g++-11" $ source .env $ python CGAN.py
A Jittor implementation of Conditional GAN (CGAN).
版权所有:中国计算机学会技术支持:开源发展技术委员会 京ICP备13000930号-9 京公网安备 11010802032778号
Jittor-CGAN
This is a simple implementation of Conditional Generative Adversarial Networks (CGAN) using Jittor. The code is derived from the official code.
You might want to make use of
.envto use specific GCC version which matches the CUDA version. For example,