chore(deps): update dependency kubeflow-training to v1.8.1

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
kubeflow-training (source)	==1.6.0 -> ==1.8.1

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Release Notes

kubeflow/training-operator (kubeflow-training)

v1.8.1

Compare Source

Bug Fixes

• [Bug] Finish CleanupJob early if the job is suspended (#​2243 by @​mszadkow)
• [SDK] Fix trainer error: Update the version of base image and add "num_labels" for downloading pretrained models (#​2230 by @​helenxie-bit)
• Update huggingface_hub Version in the storage initializer to fix ImportError (#​2180 by @​helenxie-bit)

Full Changelog

v1.8.0

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Breaking Changes

• [SDK] Support Python 3.11 and Drop Python 3.7 (#​2105 by @​tenzen-y)
• Support K8s v1.29 and Drop K8s v1.26 (#​2039 by @​tenzen-y)
• Support K8s v1.28 and Drop K8s v1.25 (#​2038 by @​tenzen-y)
• Deprecation Notice for MXJob (#​2058 by @​tenzen-y)
• ⚠️ Breaking Changes: Rename monitoring-port flag to webook-server-port (#​1925 by @​afritzler)

New Features

LLM Fine-Tuning API

• Train/Fine-tune API Proposal for LLMs (#​1945 by @​deepanker13)
• [SDK] Train API for LLM Fine-Tuning (#​1962 by @​deepanker13)
• Modify LLM Trainer to support BERT and Tiny LLaMA (#​2031 by @​andreyvelich)
• Support arm64 for Hugging Face trainer (#​2028 by @​tariq-hasan)
• Add Fine-Tune BERT LLM Example (#​2021 by @​andreyvelich)
• Train api dataset download changes (#​1959 by @​deepanker13)
• Train api init container creation (#​1958 by @​deepanker13)
• [SDK] Add docstring for Train API (#​2075 by @​andreyvelich)

Control Plane Updates

• Upgrade scheduler-plugins to v0.28.9 (#​2065 by @​tenzen-y)
• Implement webhook validations for the PaddleJob (#​2057 by @​tenzen-y)
• Implement webhook validations for the XGBoostJob (#​2052 by @​tenzen-y)
• Implement webhook validation for the TFJob (#​2051 by @​tenzen-y)
• Implement webhook validations for the PyTorchJob (#​2035 by @​tenzen-y)
• Upgrade PyTorchJob examples to PyTorch v2 (#​2024 by @​champon1020)
• Upgrade Go version to v1.22 (#​2046 by @​tenzen-y)

SDK Improvements

• [SDK] Add resources per worker for Create Job API (#​1990 by @​andreyvelich)
• [SDK] Fix Worker and Master templates for PyTorchJob (#​1988 by @​andreyvelich)
• [SDK] Get Kubernetes Events for Job (#​1975 by @​andreyvelich)
• SDK: Upgrade the minimum required Kubernetes version to v1.27.2 (#​2066 by @​tenzen-y)
• [SDK] Add information about TrainingClient logging (#​1973 by @​andreyvelich)
• Training operator SDK unit test (#​1938 by @​deepanker13)
• [SDK] Consolidate Naming for CRUD APIs (#​1907 by @​andreyvelich)

Bug Fixes

• [SDK] Fix Failed condition in wait Job API (#​2160 by @​andreyvelich)
• [SDK] Sync Transformers version for train API (#​2147 by @​andreyvelich)
• [SDK] Changed package name to flake8 to fix pip install (#​2140 by @​tenzen-y)
• [SDK] Fix Incorrect Events in get_job_logs API (#​2138 by @​tenzen-y)
• Fix volcano podgroup update issue (#​2079 by @​ckyuto)
• Fix import for HuggingFace Dataset Provider (#​2085 by @​andreyvelich)
• Updated examples for train API (#​2077 by @​shruti2522)
• Fail job for non-retryable exit codes (#​2071 by @​kellyaa)
• E2E: Replace outdated images with latest ones (#​2083 by @​tenzen-y)
• fix wrong filepath in the simple example command (#​2062 by @​qzoscar)
• fix(example): add installation of python-etcd in Pytorch example (#​2064 by @​champon1020)
• fix: Upgrade controller-gen to v0.14.0 (#​2026 by @​champon1020)
• Fix build workflow config for pytorch-torchrun-example (#​2020 by @​PeterWrighten)
• Fix Distributed Data Samplers in PyTorch Examples (#​2012 by @​andreyvelich)
• Fix URL in python SDK setup.py (#​2011 by @​garymm)
• Fix for Github CI to publish HF trainer image (#​1987 by @​johnugeorge)
• train api jupyternotebook fix (#​1984 by @​deepanker13)
• fix: volcano podgroup should has a non-empty queue name (#​1977 by @​lowang-bh)
• Fix Master Label for PyTorchJob (#​1974 by @​andreyvelich)
• IsMasterRole fix in pytorchjob controller (#​1969 by @​deepanker13)
• [fix] replace ${go env GOPATH} with $(go env GOPATH) to get the prope… (#​1952 by @​double12gzh)
• Fixing issues with providing existing service account (#​1918 by @​rpemsel)

Misc

• Refine the integration tests for the immutable PyTorchJob (#​2130 by @​tenzen-y)
• Update training operator image to latest (#​2089 by @​johnugeorge)
• Update sdk to v1.8.0rc0 (#​2087 by @​johnugeorge)
• Test: Simplify and Identify pod-controller envtest (#​2084 by @​tenzen-y)
• Remove deadcode related to PodDisruptionBudget (#​2073 by @​tenzen-y)
• docs: updating docs for local development (#​2074 by @​franciscojavierarceo)
• PyTorchJob: Always show warnings when using elasticPolicy.nProcPerNode (#​2067 by @​tenzen-y)
• Updated developer docs to include Kind (#​2061 by @​franciscojavierarceo)
• adding fine tune example with s3 as the dataset store (#​2006 by @​deepanker13)
• CI: Use a mode=min in the builder cache (#​2053 by @​tenzen-y)
• Fix: upgrade version of crd-ref-docs, which caused panic with go v1.22 (#​2043 by @​jdcfd)
• Remove Dockerfile.ppc64le of pytorch example (#​2042 by @​champon1020)
• publish torchrun example via Dockerfile (#​2018 by @​PeterWrighten)
• Updated examples/pytorch to disable istio sidecar injection (#​2004 by @​jdcfd)
• [docs] development guide update (#​1995 by @​shashank-iitbhu)
• Add Kubeflow Website links to README (#​1983 by @​andreyvelich)
• publish trainer hugging face image (#​1985 by @​deepanker13)
• Adding Training image needed for train api (#​1963 by @​deepanker13)
• Add test to create PyTorchJob from func (#​1979 by @​andreyvelich)
• Corrected Some Spelling And Grammatical Errors (#​1980 by @​daniel-hutao)
• torchrun example with cpu version pytorch (#​1965 by @​kuizhiqing)
• utils changes needed to add train api (#​1954 by @​deepanker13)
• Adding parallel support for coveralls (#​1956 by @​johnugeorge)
• chore: pkg import only once (#​1950 by @​testwill)
• fix nproc env in elastic mode for pytorchjob (#​1948 by @​kuizhiqing)
• Avoid modifying log level globally (#​1944 by @​droctothorpe)
• Add @​andreyvelich to Approvers (#​1941 by @​andreyvelich)
• Merge v1.7 branch changes to Main (#​1940 by @​johnugeorge)
• Increase the root volume size on the github runner when building container images (#​1931 by @​tenzen-y)
• Check podGroup CRD for the volcano and the scheudler-plugins as default. (#​1929 by @​Syulin7)
• Use a community hosted image in MXJob E2E (#​1928 by @​tenzen-y)
• Build MXJob examples in CI (#​1927 by @​tenzen-y)
• Bump k8s.io/* deps to 1.28 (#​1920 by @​afritzler)
• Replace XGBoost image for E2E with community hosted (#​1922 by @​tenzen-y)
• Creating service account where approriate for MPI Job (#​1917 by @​rpemsel)
• Build XGBoostJob example images in CI (#​1913 by @​tenzen-y)
• Manage kube-delivery image from training-operator and update it (#​1909 by @​rpemsel)
• Adding Yuki to Approvers (#​1901 by @​johnugeorge)
• docs: Remove reference to tf-operator specific design doc (#​1903 by @​terrytangyuan)
• Add Training WG Community Call (#​1900 by @​andreyvelich)
• update full change list in changelog (#​1895 by @​lowang-bh)
• update volcano scheduler to 1.8.0 (#​1894 by @​lowang-bh)
• Changelog updated for 1.7.0 rc0 release (#​1892 by @​johnugeorge)
• Add Stale GitHub Action (#​1893 by @​andreyvelich)
• Refactor core/pod tests (#​1890 by @​tenzen-y)
• Remove klog v1 (#​1886 by @​tenzen-y)

Full Changelog

v1.7.0

Compare Source

Full Changelog

Breaking Changes

• Upgrade Scheduler Plugins version to v0.25.7 https://github.com/kubeflow/training-operator/pull/1824 (tenzen-y)
• Upgrade the kubernetes dependencies to v1.27 https://github.com/kubeflow/training-operator/pull/1834 (tenzen-y)

New Features

• Make scheduler-plugins the default gang scheduler. #​1747 (Syulin7)
• Merge kubeflow/common to training-operator #​1813 (johnugeorge)
• Auto-generate RBAC manifests by the controller-gen #​1815 (Syulin7)
• Implement suspend semantics #​1859 (tenzen-y)
• Set up controllers using goroutines to start the manager quickly #​1869 (tenzen-y)
• Set correct ENV for PytorchJob to support torchrun #​1840 (kuizhiqing)

Bug Fixes

• Fix a bug that XGBoostJob's running condition isn't updated when the job is resumed #​1866 (tenzen-y)
• Set a Running condition when the XGBoostJob is completed and doesn't have a Running condition #​1789 (tenzen-y)
• Avoid to depend on local env when installing the code-generators #​1810 (tenzen-y)

Misc

• Removing reconciler code #​1879 (johnugeorge)
• Make Condition and ReplicaStatus optional #​1862 (tenzen-y)
• Use the same reasons for Condition and Event #​1854 (tenzen-y)
• Fully consolidate tfjob-operator to training-operator #​1850 (tenzen-y)
• Clean up /pkg/common/util/v1 #​1845 (tenzen-y)
• Refactoring tests in common/controller.v1 #​1843 (tenzen-y)
• remove duplicate code of add task spec annotation #​1839 (lowang-bh)
• fetch volcano log when e2e failed #​1837 (lowang-bh)
• Add check pods are not scheduled when testing gang-scheduler integrations in e2e #​1835 (tenzen-y)
• Replace dummy client with fake client #​1818 (tenzen-y)
• Add default Intel MPI env variables to MPIJob #​1804 (tkatila)
• Improve E2E tests for the gang-scheduling #​1801 (tenzen-y)
• xgb yaml container name should be consistent with xgb job default container name #​1794 (Crisescode)
• make timeout configurable from e2e tests #​1787 (nagar-ajay)

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