As a possible improvement, I would suggest to add a multi-GPU implementation.
贡献者指南
技术栈
python
领域
machine learningperformance
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
4
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
3-5 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
unclear
前置要求
Basic knowledge of TensorFlowUnderstanding of GPU computingFamiliarity with distributed training
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
15
研究方向
Investigate TensorFlow's distributed strategy API for multi GPU training. Review existing implementations of multi GPU DCGAN in other repositories. Consider the feasibility of modifying the current single GPU code to support multiple GPUs.
Multi-GPU version · carpedm20/DCGAN-tensorflow#127 | Good First Issue
