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Set check-latest to false when setup python and pip cache in CI #87621
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/87621
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Awesome to see this mystery being solved!
@pytorchbot merge -f 'This only updates the workflow. All lint checks have passed' |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
@pytorchbot revert -m 'Somehow setup-python treats Python 3.10 as Python 3.1 in pr-label.yml. I missed this signal because this is only run at push' -c nosignals |
❌ 🤖 pytorchbot command failed:
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@pytorchbot revert -m 'Somehow setup-python treats Python 3.10 as Python 3.1 in pr-label.yml. I missed this signal because this is only run at push' -c nosignal |
@pytorchbot successfully started a revert job. Check the current status here. |
@huydhn your PR has been successfully reverted. |
…CI (#87621)" This reverts commit 4080b1d. Reverted #87621 on behalf of https://github.com/huydhn due to Somehow setup-python treats Python 3.10 as Python 3.1 in pr-label.yml. I missed this signal because this is only run at push
Somehow 3.10 turns into 3.1 without the quote
@pytorchbot merge -f 'This only updates the workflow. All lint checks have passed. Python version has been wrapped in quote' |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Wow, I bet it was treating 3.10 as a number and then converting that to a string! |
…rch#87621) I missed the fine print in https://github.com/actions/setup-python/blob/main/README.md#caching-packages-dependencies when setting up the cache using setup-python GHA > Restored cache will not be used if the requirements.txt file is not updated for a long time and a newer version of the dependency is available which can lead to an increase in total build time. The latter part is important because it implies that even with the cache, pip will still try to check if a newer version exists and that part can be flaky, i.e. https://github.com/pytorch/pytorch/actions/runs/3313764038/jobs/5472180293 This undesired behavior can be turned off by setting the advance option `check-latest` to false https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#check-latest-version. Per my understanding, this should tell pip install in these workflows to use the local cached copy of the package avoiding the need to query pypi every single time. `check-latest` was added quite recently actions/setup-python#406, so `actionlint-1.6.15` fails to recognize it. Thus, this PR also upgrades `actionlint` to the latest 1.6.21 to pass the linter check. Here is an example error from 1.6.15 from https://github.com/pytorch/pytorch/actions/runs/3315388073/jobs/5475918454: ``` >>> Lint for .github/workflows/lint.yml: Error (ACTIONLINT) [action] input "check-latest" is not defined in action "actions/setup-python@v4". available inputs are "architecture", "cache", "cache-dependency-path", "python-version", "python-version-file", "token" 25 | with: 26 | python-version: 3.8 27 | architecture: x64 >>> 28 | check-latest: false 29 | cache: pip 30 | cache-dependency-path: | 31 | **/.github/requirements-gha-cache.txt ``` Pull Request resolved: pytorch#87621 Approved by: https://github.com/ZainRizvi
…CI (pytorch#87621)" This reverts commit 4080b1d. Reverted pytorch#87621 on behalf of https://github.com/huydhn due to Somehow setup-python treats Python 3.10 as Python 3.1 in pr-label.yml. I missed this signal because this is only run at push
…rch#87621) I missed the fine print in https://github.com/actions/setup-python/blob/main/README.md#caching-packages-dependencies when setting up the cache using setup-python GHA > Restored cache will not be used if the requirements.txt file is not updated for a long time and a newer version of the dependency is available which can lead to an increase in total build time. The latter part is important because it implies that even with the cache, pip will still try to check if a newer version exists and that part can be flaky, i.e. https://github.com/pytorch/pytorch/actions/runs/3313764038/jobs/5472180293 This undesired behavior can be turned off by setting the advance option `check-latest` to false https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#check-latest-version. Per my understanding, this should tell pip install in these workflows to use the local cached copy of the package avoiding the need to query pypi every single time. `check-latest` was added quite recently actions/setup-python#406, so `actionlint-1.6.15` fails to recognize it. Thus, this PR also upgrades `actionlint` to the latest 1.6.21 to pass the linter check. Here is an example error from 1.6.15 from https://github.com/pytorch/pytorch/actions/runs/3315388073/jobs/5475918454: ``` >>> Lint for .github/workflows/lint.yml: Error (ACTIONLINT) [action] input "check-latest" is not defined in action "actions/setup-python@v4". available inputs are "architecture", "cache", "cache-dependency-path", "python-version", "python-version-file", "token" 25 | with: 26 | python-version: 3.8 27 | architecture: x64 >>> 28 | check-latest: false 29 | cache: pip 30 | cache-dependency-path: | 31 | **/.github/requirements-gha-cache.txt ``` Pull Request resolved: pytorch#87621 Approved by: https://github.com/ZainRizvi
…rch#87621) I missed the fine print in https://github.com/actions/setup-python/blob/main/README.md#caching-packages-dependencies when setting up the cache using setup-python GHA > Restored cache will not be used if the requirements.txt file is not updated for a long time and a newer version of the dependency is available which can lead to an increase in total build time. The latter part is important because it implies that even with the cache, pip will still try to check if a newer version exists and that part can be flaky, i.e. https://github.com/pytorch/pytorch/actions/runs/3313764038/jobs/5472180293 This undesired behavior can be turned off by setting the advance option `check-latest` to false https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#check-latest-version. Per my understanding, this should tell pip install in these workflows to use the local cached copy of the package avoiding the need to query pypi every single time. `check-latest` was added quite recently actions/setup-python#406, so `actionlint-1.6.15` fails to recognize it. Thus, this PR also upgrades `actionlint` to the latest 1.6.21 to pass the linter check. Here is an example error from 1.6.15 from https://github.com/pytorch/pytorch/actions/runs/3315388073/jobs/5475918454: ``` >>> Lint for .github/workflows/lint.yml: Error (ACTIONLINT) [action] input "check-latest" is not defined in action "actions/setup-python@v4". available inputs are "architecture", "cache", "cache-dependency-path", "python-version", "python-version-file", "token" 25 | with: 26 | python-version: 3.8 27 | architecture: x64 >>> 28 | check-latest: false 29 | cache: pip 30 | cache-dependency-path: | 31 | **/.github/requirements-gha-cache.txt ``` Pull Request resolved: pytorch#87621 Approved by: https://github.com/ZainRizvi
…CI (pytorch#87621)" This reverts commit 4080b1d. Reverted pytorch#87621 on behalf of https://github.com/huydhn due to Somehow setup-python treats Python 3.10 as Python 3.1 in pr-label.yml. I missed this signal because this is only run at push
…rch#87621) I missed the fine print in https://github.com/actions/setup-python/blob/main/README.md#caching-packages-dependencies when setting up the cache using setup-python GHA > Restored cache will not be used if the requirements.txt file is not updated for a long time and a newer version of the dependency is available which can lead to an increase in total build time. The latter part is important because it implies that even with the cache, pip will still try to check if a newer version exists and that part can be flaky, i.e. https://github.com/pytorch/pytorch/actions/runs/3313764038/jobs/5472180293 This undesired behavior can be turned off by setting the advance option `check-latest` to false https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#check-latest-version. Per my understanding, this should tell pip install in these workflows to use the local cached copy of the package avoiding the need to query pypi every single time. `check-latest` was added quite recently actions/setup-python#406, so `actionlint-1.6.15` fails to recognize it. Thus, this PR also upgrades `actionlint` to the latest 1.6.21 to pass the linter check. Here is an example error from 1.6.15 from https://github.com/pytorch/pytorch/actions/runs/3315388073/jobs/5475918454: ``` >>> Lint for .github/workflows/lint.yml: Error (ACTIONLINT) [action] input "check-latest" is not defined in action "actions/setup-python@v4". available inputs are "architecture", "cache", "cache-dependency-path", "python-version", "python-version-file", "token" 25 | with: 26 | python-version: 3.8 27 | architecture: x64 >>> 28 | check-latest: false 29 | cache: pip 30 | cache-dependency-path: | 31 | **/.github/requirements-gha-cache.txt ``` Pull Request resolved: pytorch#87621 Approved by: https://github.com/ZainRizvi
…rch#87621) I missed the fine print in https://github.com/actions/setup-python/blob/main/README.md#caching-packages-dependencies when setting up the cache using setup-python GHA > Restored cache will not be used if the requirements.txt file is not updated for a long time and a newer version of the dependency is available which can lead to an increase in total build time. The latter part is important because it implies that even with the cache, pip will still try to check if a newer version exists and that part can be flaky, i.e. https://github.com/pytorch/pytorch/actions/runs/3313764038/jobs/5472180293 This undesired behavior can be turned off by setting the advance option `check-latest` to false https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#check-latest-version. Per my understanding, this should tell pip install in these workflows to use the local cached copy of the package avoiding the need to query pypi every single time. `check-latest` was added quite recently actions/setup-python#406, so `actionlint-1.6.15` fails to recognize it. Thus, this PR also upgrades `actionlint` to the latest 1.6.21 to pass the linter check. Here is an example error from 1.6.15 from https://github.com/pytorch/pytorch/actions/runs/3315388073/jobs/5475918454: ``` >>> Lint for .github/workflows/lint.yml: Error (ACTIONLINT) [action] input "check-latest" is not defined in action "actions/setup-python@v4". available inputs are "architecture", "cache", "cache-dependency-path", "python-version", "python-version-file", "token" 25 | with: 26 | python-version: 3.8 27 | architecture: x64 >>> 28 | check-latest: false 29 | cache: pip 30 | cache-dependency-path: | 31 | **/.github/requirements-gha-cache.txt ``` Pull Request resolved: pytorch#87621 Approved by: https://github.com/ZainRizvi
…CI (pytorch#87621)" This reverts commit 4080b1d. Reverted pytorch#87621 on behalf of https://github.com/huydhn due to Somehow setup-python treats Python 3.10 as Python 3.1 in pr-label.yml. I missed this signal because this is only run at push
…rch#87621) I missed the fine print in https://github.com/actions/setup-python/blob/main/README.md#caching-packages-dependencies when setting up the cache using setup-python GHA > Restored cache will not be used if the requirements.txt file is not updated for a long time and a newer version of the dependency is available which can lead to an increase in total build time. The latter part is important because it implies that even with the cache, pip will still try to check if a newer version exists and that part can be flaky, i.e. https://github.com/pytorch/pytorch/actions/runs/3313764038/jobs/5472180293 This undesired behavior can be turned off by setting the advance option `check-latest` to false https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#check-latest-version. Per my understanding, this should tell pip install in these workflows to use the local cached copy of the package avoiding the need to query pypi every single time. `check-latest` was added quite recently actions/setup-python#406, so `actionlint-1.6.15` fails to recognize it. Thus, this PR also upgrades `actionlint` to the latest 1.6.21 to pass the linter check. Here is an example error from 1.6.15 from https://github.com/pytorch/pytorch/actions/runs/3315388073/jobs/5475918454: ``` >>> Lint for .github/workflows/lint.yml: Error (ACTIONLINT) [action] input "check-latest" is not defined in action "actions/setup-python@v4". available inputs are "architecture", "cache", "cache-dependency-path", "python-version", "python-version-file", "token" 25 | with: 26 | python-version: 3.8 27 | architecture: x64 >>> 28 | check-latest: false 29 | cache: pip 30 | cache-dependency-path: | 31 | **/.github/requirements-gha-cache.txt ``` Pull Request resolved: pytorch#87621 Approved by: https://github.com/ZainRizvi
I missed the fine print in https://github.com/actions/setup-python/blob/main/README.md#caching-packages-dependencies when setting up the cache using setup-python GHA
The latter part is important because it implies that even with the cache, pip will still try to check if a newer version exists and that part can be flaky, i.e. https://github.com/pytorch/pytorch/actions/runs/3313764038/jobs/5472180293
This undesired behavior can be turned off by setting the advance option
check-latest
to false https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#check-latest-version. Per my understanding, this should tell pip install in these workflows to use the local cached copy of the package avoiding the need to query pypi every single time.check-latest
was added quite recently actions/setup-python#406, soactionlint-1.6.15
fails to recognize it. Thus, this PR also upgradesactionlint
to the latest 1.6.21 to pass the linter check. Here is an example error from 1.6.15 from https://github.com/pytorch/pytorch/actions/runs/3315388073/jobs/5475918454: