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).
数据集
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,