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[v1.x] CI fixes to make more stable and upgradable #19895
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February 13, 2021 02:02
…and the second always fails a few times before finally succeeding (and also doesn't support the -P parameter, which causes an error.)
…t nvidia 'gpus' attribute. Switch to using subprocess calls using list parameter (to avoid shell injections). See docker/docker-py#2395
josephevans
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Hey @josephevans , Thanks for submitting the PR
CI supported jobs: [website, edge, centos-gpu, windows-cpu, clang, windows-gpu, unix-gpu, miscellaneous, sanity, unix-cpu, centos-cpu] Note: |
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… interactive mode.
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…d if that fails, then try '--runtime nvidia'.
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LGTM |
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Feb 16, 2021
* Test moving pipelines from p3 to g4. * Remove fallback codecov command - the existing (first) command works and the second always fails a few times before finally succeeding (and also doesn't support the -P parameter, which causes an error.) * Stop using docker python client, since it still doesn't support latest nvidia 'gpus' attribute. Switch to using subprocess calls using list parameter (to avoid shell injections). See docker/docker-py#2395 * Remove old files. * Fix comment * Set default environment variables * Fix GPU syntax. * Use subprocess.run and redirect output to stdout, don't run docker in interactive mode. * Check if codecov works without providing parameters now. * Send docker stderr to sys.stderr * Support both nvidia-docker configurations, first try '--gpus all', and if that fails, then try '--runtime nvidia'. Co-authored-by: Joe Evans <[email protected]>
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Feb 24, 2021
* Test moving pipelines from p3 to g4. * Remove fallback codecov command - the existing (first) command works and the second always fails a few times before finally succeeding (and also doesn't support the -P parameter, which causes an error.) * Stop using docker python client, since it still doesn't support latest nvidia 'gpus' attribute. Switch to using subprocess calls using list parameter (to avoid shell injections). See docker/docker-py#2395 * Remove old files. * Fix comment * Set default environment variables * Fix GPU syntax. * Use subprocess.run and redirect output to stdout, don't run docker in interactive mode. * Check if codecov works without providing parameters now. * Send docker stderr to sys.stderr * Support both nvidia-docker configurations, first try '--gpus all', and if that fails, then try '--runtime nvidia'. Co-authored-by: Joe Evans <[email protected]>
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Mar 2, 2021
* [v1.x] Migrate to use ECR as docker cache instead of dockerhub (#19654) * [v1.x] Update CI build scripts to install python 3.6 from deadsnakes repo (#19788) * Install python3.6 from deadsnakes repo, since 3.5 is EOL'd and get-pip.py no longer works with 3.5. * Set symlink for python3 to point to newly installed 3.6 version. * Setting symlink or using update-alternatives causes add-apt-repository to fail, so instead just set alias in environment to call the correct python version. * Setup symlinks in /usr/local/bin, since it comes first in the path. * Don't use absolute path for python3 executable, just use python3 from path. Co-authored-by: Joe Evans <[email protected]> * Disable unix-gpu-cu110 pipeline for v1.x build since we now build with cuda 11.0 in windows pipelines. (#19828) Co-authored-by: Joe Evans <[email protected]> * [v1.x] For ECR, ensure we sanitize region input from environment variable (#19882) * Set default for cache_intermediate. * Make sure we sanitize region extracted from registry, since we pass it to os.system. Co-authored-by: Joe Evans <[email protected]> * [v1.x] Address CI failures with docker timeouts (v2) (#19890) * Add random sleep only, since retry attempts are already implemented. * Reduce random sleep to 2-10 sec. Co-authored-by: Joe Evans <[email protected]> * [v1.x] CI fixes to make more stable and upgradable (#19895) * Test moving pipelines from p3 to g4. * Remove fallback codecov command - the existing (first) command works and the second always fails a few times before finally succeeding (and also doesn't support the -P parameter, which causes an error.) * Stop using docker python client, since it still doesn't support latest nvidia 'gpus' attribute. Switch to using subprocess calls using list parameter (to avoid shell injections). See docker/docker-py#2395 * Remove old files. * Fix comment * Set default environment variables * Fix GPU syntax. * Use subprocess.run and redirect output to stdout, don't run docker in interactive mode. * Check if codecov works without providing parameters now. * Send docker stderr to sys.stderr * Support both nvidia-docker configurations, first try '--gpus all', and if that fails, then try '--runtime nvidia'. Co-authored-by: Joe Evans <[email protected]> * fix cd * fix cudnn version for cu10.2 buiuld * WAR the dataloader issue with forked processes holding stale references (#19924) * skip some tests * fix ski[ * [v.1x] Attempt to fix v1.x cd by installing new cuda compt package (#19959) * update cude compt for cd * Update Dockerfile.build.ubuntu_gpu_cu102 * Update Dockerfile.build.ubuntu_gpu_cu102 * Update Dockerfile.build.ubuntu_gpu_cu110 * Update runtime_functions.sh * Update Dockerfile.build.ubuntu_gpu_cu110 * Update Dockerfile.build.ubuntu_gpu_cu102 * update command Co-authored-by: Joe Evans <[email protected]> Co-authored-by: Joe Evans <[email protected]> Co-authored-by: Joe Evans <[email protected]> Co-authored-by: Przemyslaw Tredak <[email protected]>
mseth10
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Mar 15, 2021
* [v1.x] Migrate to use ECR as docker cache instead of dockerhub (apache#19654) * [v1.x] Update CI build scripts to install python 3.6 from deadsnakes repo (apache#19788) * Install python3.6 from deadsnakes repo, since 3.5 is EOL'd and get-pip.py no longer works with 3.5. * Set symlink for python3 to point to newly installed 3.6 version. * Setting symlink or using update-alternatives causes add-apt-repository to fail, so instead just set alias in environment to call the correct python version. * Setup symlinks in /usr/local/bin, since it comes first in the path. * Don't use absolute path for python3 executable, just use python3 from path. Co-authored-by: Joe Evans <[email protected]> * Disable unix-gpu-cu110 pipeline for v1.x build since we now build with cuda 11.0 in windows pipelines. (apache#19828) Co-authored-by: Joe Evans <[email protected]> * [v1.x] For ECR, ensure we sanitize region input from environment variable (apache#19882) * Set default for cache_intermediate. * Make sure we sanitize region extracted from registry, since we pass it to os.system. Co-authored-by: Joe Evans <[email protected]> * [v1.x] Address CI failures with docker timeouts (v2) (apache#19890) * Add random sleep only, since retry attempts are already implemented. * Reduce random sleep to 2-10 sec. Co-authored-by: Joe Evans <[email protected]> * [v1.x] CI fixes to make more stable and upgradable (apache#19895) * Test moving pipelines from p3 to g4. * Remove fallback codecov command - the existing (first) command works and the second always fails a few times before finally succeeding (and also doesn't support the -P parameter, which causes an error.) * Stop using docker python client, since it still doesn't support latest nvidia 'gpus' attribute. Switch to using subprocess calls using list parameter (to avoid shell injections). See docker/docker-py#2395 * Remove old files. * Fix comment * Set default environment variables * Fix GPU syntax. * Use subprocess.run and redirect output to stdout, don't run docker in interactive mode. * Check if codecov works without providing parameters now. * Send docker stderr to sys.stderr * Support both nvidia-docker configurations, first try '--gpus all', and if that fails, then try '--runtime nvidia'. Co-authored-by: Joe Evans <[email protected]> * fix cd * fix cudnn version for cu10.2 buiuld * WAR the dataloader issue with forked processes holding stale references (apache#19924) * skip some tests * fix ski[ * [v.1x] Attempt to fix v1.x cd by installing new cuda compt package (apache#19959) * update cude compt for cd * Update Dockerfile.build.ubuntu_gpu_cu102 * Update Dockerfile.build.ubuntu_gpu_cu102 * Update Dockerfile.build.ubuntu_gpu_cu110 * Update runtime_functions.sh * Update Dockerfile.build.ubuntu_gpu_cu110 * Update Dockerfile.build.ubuntu_gpu_cu102 * update command Co-authored-by: Joe Evans <[email protected]> Co-authored-by: Joe Evans <[email protected]> Co-authored-by: Joe Evans <[email protected]> Co-authored-by: Przemyslaw Tredak <[email protected]>
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Description
This PR makes a number of changes to make it more stable:
gpusparameter which newer docker versions use and we don't get timeout issues when using the docker command directly. This will allow us to update our AMIs to use newer docker versions.--gpus allparameter todocker run, if it fails with error code 125 (which means docker run command itself failed,) then we retry using the old--runtime nvidiaparameter.