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[MD][UT] Enhance interpolation mode test coverage for unified ops

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创建于  
2022-07-15 02:20
  1. 【Document Link】/【文档链接】
    See design slides for Transforms Unification feature, attached to feature issue: https://e.gitee.com/mind_spore/dashboard?issue=I52FD5

  2. 【Issues Section】/【问题文档片段】
    As a follow-up to the Transform Unification feature, it is desirable to enhance the interpolation mode test coverage for the following unified ops (which hence verifies the DOC API):

  • RandomResizedCrop
  • RandomAffine
  • RandomRotation
  • Resize
    ... for which
  • a specific interpolation mode is not support for the op
  • a specific interpolation mode has C++ OpenCV implementation only (like AREA or PILCUBIC)
  • a specific interpolation mode has Python PIL implementation only (like ANTIALIAS)
  1. 【Existing Issues】/【存在的问题】
  1. 【Expected Result】【预期结果】
  • UTs with valid input should run clean with ops successfully executed
  • UTs with invalid input should run clean and produce the proper exception

评论 (4)

cathwong 创建了任务
cathwong 添加了
 
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Please assign maintainer to check this issue.
请为此issue分配处理人。
@cathwong

Please add labels (comp or sig), also you can visit https://gitee.com/mindspore/community/blob/master/sigs/dx/docs/labels.md to find more.
为了让代码尽快被审核,请您为Pull Request打上 组件(comp)或兴趣组(sig) 标签,打上标签的PR可直接推送给责任人进行审核。
更多的标签可以查看https://gitee.com/mindspore/community/blob/master/sigs/dx/docs/labels.md
以组件相关代码提交为例,如果你提交的是data组件代码,你可以这样评论:
//comp/data
当然你也可以邀请data SIG组来审核代码,可以这样写:
//sig/data
另外你还可以给这个PR标记类型,例如是bugfix或者是特性需求:
//kind/bug or //kind/feature
恭喜你,你已经学会了使用命令来打标签,接下来就在下面的评论里打上标签吧!

@Se7en you can't close an issue unless you are the author of it or a collaborator.

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