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Ben Clayton aad2e9c0b5 tools/cts: Add `cts validate`, improvements & fixes 
• Add `cts validate` command used to check for expectation collisions.
  Can be used as a presubmit check.
  This is more tightly checked than the previous logic, as this works on just
  the expectations, instead of results.

• Fix an issue where the test result reduction could introduce collisions with
  'Skip' expectations.
  To fix this, the update process first adds 'consumed' results for the skipped
  tests, preventing test tree reduction for that part of the tree.

• Fix a bug in the generation of 'New failures' and 'New flakes' which produced
  more expectations than was necessary.
  The issue here was that the tree roots could contain overlaps, and roots could
  be processed before sub-trees, resulting in inefficient expectations.

• Fix collisions in the expectations file, and update with results from
  the most recent roll.

Change-Id: I7b64553408998fb4416458ce564fc49c8f6d4d07
Reviewed-on: https://dawn-review.googlesource.com/c/dawn/+/101860
Commit-Queue: Ben Clayton <bclayton@google.com>
Kokoro: Kokoro <noreply+kokoro@google.com>
Reviewed-by: Austin Eng <enga@chromium.org>
 		2022-09-17 19:30:29 +00:00
..
scripts Don't use incremental build in webgpu-cts/scripts/list.py 2022-05-10 18:17:54 +00:00
webtests Add generated webtest .html files 2022-06-10 22:00:33 +00:00
BUILD.gn Add test list to deps 2022-08-11 15:16:38 +00:00
README.md Update CTS docs 2022-09-14 17:13:17 +00:00
expectations.txt tools/cts: Add `cts validate`, improvements & fixes 2022-09-17 19:30:29 +00:00
test_page.html Change base directory for CTS runner, part 2 2022-06-24 18:50:19 +00:00
test_runner.js CTS: set noRaceWithRejectOnTimeout 2022-09-13 22:16:42 +00:00
worker_test_globs.txt Move WebGPU worker globs 2022-07-01 01:20:14 +00:00

README.md

Running the WebGPU CTS Locally with Chrome

Running the WebGPU CTS locally with Chrome requires a Chromium checkout.

Follow these instructions for checking out and building Chrome. You'll also need to build the telemetry_gpu_integration_test target.

At the root of a Chromium checkout, run: ./content/test/gpu/run_gpu_integration_test.py webgpu_cts --browser=exact --browser-executable=path/to/your/chrome-executable

If you don't want to build Chrome, you can still run the CTS, by passing the path to an existing Chrome executable to the --browser-executable argument. However, if you would like to use all harness functionality (symbolizing stack dumps, etc.). You will still need to build the telemetry_gpu_integration_test target.

Useful command-line arguments:

  • --help: See more options and argument documentation.
  • -l: List all tests that would be run.
  • --test-filter: Filter tests.
  • --passthrough --show-stdout: Show browser output. See also --browser-logging-verbosity.
  • --extra-browser-args: Pass extra args to the browser executable.
  • --jobs=N: Run with multiple parallel browser instances.
  • --stable-jobs: Assign tests to each job in a stable order. Used on the bots for consistency and ease of reproduction.
  • --enable-dawn-backend-validation: Enable Dawn's backend validation.
  • --use-webgpu-adapter=[default,swiftshader,compat]: Forwarded to the browser to select a particular WebGPU adapter.

Running a local CTS build on Swarming

Often, it's useful to test changes on Chrome's infrastructure if it's difficult to reproduce a bug locally. To do that, we can package our local build as an "isolate" and upload it to Swarming to run there. This is often much faster than uploading your CL to Gerrit and triggering tryjobs.

Note that since you're doing a local build, you need to be on the same type of machine as the job you'd like to trigger in swarming. To run a job on a Windows bot, you need to build the isolate on Windows.

  1. Build the isolate

    vpython3 tools/mb/mb.py isolate out/Release telemetry_gpu_integration_test

  2. Upload the isolate

    ./tools/luci-go/isolate archive -cas-instance chromium-swarm -i out/Release/telemetry_gpu_integration_test.isolate

    This will output a hash like: 95199eb624d8ddb6ffdfe7a2fc41bc08573aebe3d17363a119cb1e9ca45761ae/734

    Save this hash for use in the next command.

  3. Trigger the swarming job.

    The command structure is as follows:

    ./tools/luci-go/swarming trigger -S https://chromium-swarm.appspot.com <dimensions...> -digest <YOUR_ISOLATE_HASH> -- <command> ...

    Say you want to trigger a job on a Linux Intel bot. It's easiest to check an existing task to see the right args you would use. For example: https://chromium-swarm.appspot.com/task?id=5d552b8def31ab11.

    In the table on the left hand side, you can see the bot's Dimensions. In the Raw Output on the right or below the table, you can see the commands run on this bot. Copying those, you would use:

    ./tools/luci-go/swarming trigger -S https://chromium-swarm.appspot.com -d "pool=chromium.tests.gpu" -d "cpu=x86-64" -d "gpu=8086:9bc5-20.0.8" -d "os=Ubuntu-18.04.6" -digest 95199eb624d8ddb6ffdfe7a2fc41bc08573aebe3d17363a119cb1e9ca45761ae/734 -- vpython3 testing/test_env.py testing/scripts/run_gpu_integration_test_as_googletest.py content/test/gpu/run_gpu_integration_test.py --isolated-script-test-output=${ISOLATED_OUTDIR}/output.json webgpu_cts --browser=release --passthrough -v --show-stdout --extra-browser-args="--enable-logging=stderr --js-flags=--expose-gc --force_high_performance_gpu --enable-features=Vulkan" --total-shards=14 --shard-index=0 --jobs=4 --stable-jobs

    The command will output a link to the Swarming task for you to see the results.