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【Hackathon No.69】eval_paddle #88
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文件可以放在 rfc/eval 目录下 (目前没有,需要新建)
20200331_eval_docs.md
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考虑对开发者来讲,更愿意使用python原生控制流,飞桨也做了支持,并通过解释方式执行,这就是动态图。但整体上,这两种编程范式是相对兼容统一的。飞桨将持续发布更完善的动态图功能,同时保持更强劲的性能。 | ||
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# 三、业内方案调研 |
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这里不是写其他框架的文档设计,而是框架本身现状
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已修改更新
20200331_eval_docs.md
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2、如何使用动态图进行模型训练 | ||
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3、如何基于动态图进行多卡训练 |
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这个任务是单机训练功能的评估,所以不涉及到多卡训练
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已修改更新
20200331_eval_docs.md
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3、如何基于动态图进行多卡训练 | ||
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4、如何部署动态图模型 |
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同理,也不考虑部署相关的功能,可以就动态图单机训练的功能进行对比调研
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嗯嗯,已修改更新
20200331_eval_docs.md
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3、如何基于动态图进行多卡训练 | ||
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4、如何部署动态图模型 |
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同理,也不考虑部署相关的功能,可以就动态图单机训练的功能进行对比调研
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嗯嗯,已修改更新
你的PR有最新反馈,请及时修改。 |
20200331_eval_docs.md
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考虑对开发者来讲,更愿意使用python原生控制流,飞桨也做了支持,并通过解释方式执行,这就是动态图。但整体上,这两种编程范式是相对兼容统一的。飞桨将持续发布更完善的动态图功能,同时保持更强劲的性能。 | ||
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# 三、业内方案调研 |
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这里不是写其他框架的文档设计,而是框架本身现状;三和四可以合成一个内容
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好的,已修改更新
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左侧的文件目录,前两个都可以删除,最后的那个,可以移动到 rfcs/eval 中
rfcs/APIs/20200331_eval_docs.md
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文档层面:教程文档是否完善,是否具有较好的指导性 | ||
意见建议:非常欢迎提供更多的建设性意见和建议 | ||
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评估报告设计思路包括如下几部分: |
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已修改
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1、如何开启动态图模式 | ||
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2、利用paddle动态图训练并测试MNIST数据集(同时将体验以下功能): |
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这五部分还需要再加强深度。RFC可以先合入,后续在PR中沟通
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好的
深度体验飞桨动态图单机训练功能,并产出一份评估报告