clipper-tutorials
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RISECamp Tutorial Final Feedback and Todo
Tutorial Todos
Due
- [ ] Draft by Friday so Dan can make some edits.
- [ ] Test possible collision with Integration (Hari)
Split into 3 notebooks (Simon)
- [x] TOC, Summary, Intro
- [ ] Link to part1 and part2
- [x] Part 1
- [x] Part 2
Poll (Simon)
- [x] waiting on Joey to edit the poll
- [x] Add it to the end of the tutorial (part 1, 2)
Less reading (Simon)
- [x] Abstract paragraphs into optional paragraphs
- [x] Each section should only have 2-4 sentences: here's what you are going to do and why are you going to do it.
- [x] Other, hidden optional sub-section. Drop-down
- [ ] Add a new
util.pyfile to make code shorter. - [x] Dockerfile:
- [x] Make detail description optional
- [x] Add description as comments in actual docker file.
New small section (Rehan)
- [x] pytorch: add a cell after batching: "bring your url"
- [x] at the end, ask them to check grafana to see update
Nit (Rehan)
- [x] Make sure the links open in new tabs, ex the Grafana link. change markdown links-> html links in
display(Markdown()) - [x] Reset fixme
- [x] Reset collapse cell / or just use drop-down
- [x] Add stop_all in part 1 in the beginning
- [x]
make -j16for Darknet - [x] at the end, comment out stop_all
- [ ] Matplotlib will warning in plotting code for legend missing handles. We will fix it.
- [x] Part 1 text: Change ‘word count model’ -> ‘flowercat model’
- [x] Replica image has 4 replicas although we are only doing 3 replicas
- [x] In the overview section, change part 1 to fix minor typos: Part 1 provides a detailed explanation of Clipper, its architecture, and the python API. It uses the deployment of a scikit-learn model that classifies flowers based on their Sepal Length and Sepal Width as example.
Simon
- [ ] Simon enable docker network in a fork using docker
campnet_clipper