{"action":"created","issue":{"url":"https://api.github.com/repos/wujunning2011/AIChip/issues/5","repository_url":"https://api.github.com/repos/wujunning2011/AIChip","labels_url":"https://api.github.com/repos/wujunning2011/AIChip/issues/5/labels{/name}","comments_url":"https://api.github.com/repos/wujunning2011/AIChip/issues/5/comments","events_url":"https://api.github.com/repos/wujunning2011/AIChip/issues/5/events","html_url":"https://github.com/wujunning2011/AIChip/issues/5","id":281962239,"number":5,"title":"学习日志：2017-12","user":{"login":"wujunning2011","id":4930405,"avatar_url":"https://avatars1.githubusercontent.com/u/4930405?v=4","gravatar_id":"","url":"https://api.github.com/users/wujunning2011","html_url":"https://github.com/wujunning2011","followers_url":"https://api.github.com/users/wujunning2011/followers","following_url":"https://api.github.com/users/wujunning2011/following{/other_user}","gists_url":"https://api.github.com/users/wujunning2011/gists{/gist_id}","starred_url":"https://api.github.com/users/wujunning2011/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wujunning2011/subscriptions","organizations_url":"https://api.github.com/users/wujunning2011/orgs","repos_url":"https://api.github.com/users/wujunning2011/repos","events_url":"https://api.github.com/users/wujunning2011/events{/privacy}","received_events_url":"https://api.github.com/users/wujunning2011/received_events","type":"User","site_admin":false},"labels":[{"id":778284876,"url":"https://api.github.com/repos/wujunning2011/AIChip/labels/%E5%AD%A6%E4%B9%A0%E8%AE%B0%E5%BD%95","name":"学习记录","color":"fbca04","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2017-12-14T02:32:24Z","updated_at":"2017-12-25T02:32:54Z","closed_at":null,"author_association":"OWNER","body":"2017-12-14\r\n\r\n论文学习：\r\npaper《In-Datacenter Performance Analysis of a Tensor Processing Unit-2017》\r\n专利《Prefetching Weights for a Neural Network Processor》\r\n\r\n\r\nNVDLAonFPGA\r\n1.安装完成Vivado2017.1，windows版本加入source代码，仿真出错，正在调试；Linux版本借助于脚本，可以进行仿真\r\n2.重新学习vivado的设计流程，文档《Vivado Design Suite Tutorial: Design Flows Overview》，\r\n\r\nNVDLA 代码学习\r\n使用VCS工具，可以将NVDLA所有的测试例进行仿真，学习NVDLA的架构和代码设计\r\n\r\n\r\nNVDLA模拟器VP\r\n安装完成VP，并使用提供的Linux镜像文件可以boot起来，并进行了hello world和BDMA测试例的仿真。\r\n\r\n\r\nNVDLA软件SW Stack\r\n还未进行，了解了一下umd和kmd的说明文档。\r\n"},"comment":{"url":"https://api.github.com/repos/wujunning2011/AIChip/issues/comments/353817447","html_url":"https://github.com/wujunning2011/AIChip/issues/5#issuecomment-353817447","issue_url":"https://api.github.com/repos/wujunning2011/AIChip/issues/5","id":353817447,"user":{"login":"wujunning2011","id":4930405,"avatar_url":"https://avatars1.githubusercontent.com/u/4930405?v=4","gravatar_id":"","url":"https://api.github.com/users/wujunning2011","html_url":"https://github.com/wujunning2011","followers_url":"https://api.github.com/users/wujunning2011/followers","following_url":"https://api.github.com/users/wujunning2011/following{/other_user}","gists_url":"https://api.github.com/users/wujunning2011/gists{/gist_id}","starred_url":"https://api.github.com/users/wujunning2011/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wujunning2011/subscriptions","organizations_url":"https://api.github.com/users/wujunning2011/orgs","repos_url":"https://api.github.com/users/wujunning2011/repos","events_url":"https://api.github.com/users/wujunning2011/events{/privacy}","received_events_url":"https://api.github.com/users/wujunning2011/received_events","type":"User","site_admin":false},"created_at":"2017-12-25T02:32:54Z","updated_at":"2017-12-25T02:32:54Z","author_association":"OWNER","body":"**2017-12-25**\r\n\r\n**论文学习：**\r\n\r\n《ImageNet Classification with Deep Convolutional Neural Networks》学习AlexNet，\r\n\r\n\r\n**NVDLAonFPGA**\r\n\r\n**NVDLA 代码学习**\r\n**01.** \r\nNVDLA的测试例cc_alexnet_conv5_relu5_int16_dtest_cvsram，实现的是AlexNet的第五层卷积层和ReLU层，input为13x13x384，权值为3x3x384x256。所使用的功能部件为SDP，CDMA，CSC，CMACA，CMACB，CACC等。主要完成卷积操作和ReLU。\r\n![image](https://user-images.githubusercontent.com/4930405/34331046-4f7a406a-e95e-11e7-99b1-954f78b1131a.png)\r\n\r\n**NVDLA模拟器VP**\r\n\r\n\r\n**NVDLA软件SW Stack**\r\n重新学习了一遍NVDLA的软件工具链，并做了总结ppt。\r\n![image](https://user-images.githubusercontent.com/4930405/34331127-e5c9329c-e95e-11e7-8583-66291e4562f5.png)\r\n"}}
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