[Test] Regression test script update (#1313)

* regression test

* script

asv.conf.json

@@ -2,66 +2,59 @@
     // The version of the config file format.  Do not change, unless
     // you know what you are doing.
     "version": 1,
-
     // The name of the project being benchmarked
     "project": "dgl",
-
     // The project's homepage
     "project_url": "https://github.com/dmlc/dgl",
-
     // The URL or local path of the source code repository for the
     // project being benchmarked
     "repo": "https://github.com/dmlc/dgl.git",
-
     // The Python project's subdirectory in your repo.  If missing or
     // the empty string, the project is assumed to be located at the root
     // of the repository.
     // "repo_subdir": "",
-
     // Customizable commands for building, installing, and
     // uninstalling the project. See asv.conf.json documentation.
     //
-     "install_command": ["in-dir={env_dir} python -mpip install --pre dgl-cu101"],
-     "build_command": ["python -c \"print('skip')\""],
-    "uninstall_command": ["return-code=any python -mpip uninstall -y dgl-cu101"],
+    "install_command": [
+        "in-dir={env_dir} python -c \"print('skip')\""
+    ],
+    "build_command": [
+        "python -c \"print('skip')\""
+    ],
+    "uninstall_command": [
+        "return-code=any python -mpip uninstall -y dgl"
+    ],
     // "build_command": [
     //     "python setup.py build",
     //     "PIP_NO_BUILD_ISOLATION=false python -mpip wheel --no-deps --no-index -w {build_cache_dir} {build_dir}"
     // ],
-
     // List of branches to benchmark. If not provided, defaults to "master"
     // (for git) or "default" (for mercurial).
     // "branches": ["master"], // for git
     // "branches": ["default"],    // for mercurial
-
     // The DVCS being used.  If not set, it will be automatically
     // determined from "repo" by looking at the protocol in the URL
     // (if remote), or by looking for special directories, such as
     // ".git" (if local).
     // "dvcs": "git",
-
     // The tool to use to create environments.  May be "conda",
     // "virtualenv" or other value depending on the plugins in use.
     // If missing or the empty string, the tool will be automatically
     // determined by looking for tools on the PATH environment
     // variable.
     // "environment_type": "conda",
-
     // timeout in seconds for installing any dependencies in environment
     // defaults to 10 min
     "install_timeout": 600,
-
     // the base URL to show a commit for the project.
     // "show_commit_url": "http://github.com/owner/project/commit/",
-
     // The Pythons you'd like to test against.  If not provided, defaults
     // to the current version of Python used to run `asv`.
     // "pythons": ["2.7", "3.6"],
-
     // The list of conda channel names to be searched for benchmark
     // dependency packages in the specified order
     // "conda_channels": ["conda-forge", "defaults"],
-
     // The matrix of dependencies to test.  Each key is the name of a
     // package (in PyPI) and the values are version numbers.  An empty
     // list or empty string indicates to just test against the default
@@ -77,7 +70,6 @@
     //     "six": ["", null],        // test with and without six installed
     //     "pip+emcee": [""],   // emcee is only available for install with pip.
     // },
-
     // Combinations of libraries/python versions can be excluded/included
     // from the set to test. Each entry is a dictionary containing additional
     // key-value pairs to include/exclude.
@@ -110,31 +102,24 @@
     //     // additional env if run on windows+conda
     //     {"platform": "win32", "environment_type": "conda", "python": "2.7", "libpython": ""},
     // ],
-
     // The directory (relative to the current directory) that benchmarks are
     // stored in.  If not provided, defaults to "benchmarks"
     "benchmark_dir": "tests/regression",
-
     // The directory (relative to the current directory) to cache the Python
     // environments in.  If not provided, defaults to "env"
     // "env_dir": "env",
-
     // The directory (relative to the current directory) that raw benchmark
     // results are stored in.  If not provided, defaults to "results".
     "results_dir": "regression_results",
-
     // The directory (relative to the current directory) that the html tree
     // should be written to.  If not provided, defaults to "html".
     // "html_dir": "html",
-
     // The number of characters to retain in the commit hashes.
     // "hash_length": 8,
-
     // `asv` will cache results of the recent builds in each
     // environment, making them faster to install next time.  This is
     // the number of builds to keep, per environment.
     // "build_cache_size": 2,
-
     // The commits after which the regression search in `asv publish`
     // should start looking for regressions. Dictionary whose keys are
     // regexps matching to benchmark names, and values corresponding to
@@ -147,7 +132,6 @@
     //    "some_benchmark": "352cdf",  // Consider regressions only after this commit
     //    "another_benchmark": null,   // Skip regression detection altogether
     // },
-
     // The thresholds for relative change in results, after which `asv
     // publish` starts reporting regressions. Dictionary of the same
     // form as in ``regressions_first_commits``, with values

tests/regression/publish.sh

-docker run --name dgl-reg --rm --hostname=reg-machine --runtime=nvidia -v dgl-regression:/root/regression -d -it dgllib/dgl-ci-gpu:conda /bin/bash
-docker cp ./tests/regression/run.sh dgl-reg:/root/regression_run.sh
-docker exec dgl-reg bash /root/regression_run.sh
-docker cp dgl-reg:/root/regression/dgl/html /home/ubuntu/reg_prod/html/
-docker stop dgl-reg
+docker run --name dgl-reg --rm --hostname=reg-machine --runtime=nvidia \
+    -v /home/ubuntu/asv_workspace:/root/regression \
+    -it dgllib/dgl-ci-gpu:conda \
+    /bin/bash /root/regression/dgl/tests/regression/run.sh
\ No newline at end of file
\ No newline at end of file

tests/regression/run.sh

@@ -11,12 +11,7 @@ git submodule update --recursive
 conda activate base
 pip install asv
 
-for backend in pytorch mxnet tensorflow
-do 
-conda activate "${backend}-ci"
-pip uninstall -y dgl-cu101
-pip install --pre dgl-cu101
-done
+source /root/regression/dgl/tests/scripts/build_dgl.sh gpu
 
 conda activate base
 asv machine --yes