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Da Zheng b9e4a5b742 [Test] add regression tests for graph partitioning. (#1561)
* add tests.

* 111

* fix

* Update asv.conf.json

* fix.

* benchmark partition with livejournal.

* fix benchmark

* fix.

* fix.

* remove ogb

* Revert "Update asv.conf.json"

This reverts commit dd327a5564f4ef01795e444e79b17265b9c8b391.

* change branch

* depend pandas

* Revert "change branch"

This reverts commit 1d4f93756492a93f2e3cde07229a59a31a8c380b.

* Update README.md

Co-authored-by: VoVAllen <jz1749@nyu.edu>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
2020-05-28 22:28:57 +08:00

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1.2 KiB
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How to add test to regression
=================================
Official link to [asv](https://asv.readthedocs.io/en/stable/writing_benchmarks.html)
## Add test
DGL reuses the ci docker image for the regression test. There are four conda envs, base, mxnet-ci, pytorch-ci, and tensorflow-ci.
The basic use is execute a script, and get the needed results out of the printed results.
- Create a new file in the tests/regression/
- Follow the example `bench_gcn.py` or the [official instruction](https://asv.readthedocs.io/en/stable/writing_benchmarks.html)
- function name starts with `track` will be used to generate the stats, by the return value
- setup function would be execute every time before running track function
- Can use params to pass parameter into `setup` and `track_` functions
## Run locally
The default regression branch in asv is `master`. If you need to run on other branch on your fork, please change the `branches` value in the `asv.conf.json` at the root of your repo.
```bash
bash ./publish.sh <repo> <branch>
```
The running result will be at `./asv_data/`. You can use `python -m http.server` inside the `html` folder to start a server to see the result