Releases: kubeflow/training-operator
v1.8.1 release
This is the Training Operator v1.8.1 release.
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)
New Contributors
- @mszadkow made their first contribution in #2243
- @helenxie-bit made their first contribution in #2180
v1.8.0 release
This is the Training Operator v1.8.0 release.
This release introduces a new Python API for LLMs Fine-Tuning that simplifies the ability to fine-tune foundational models using distributed PyTorch nodes.
Install the Kubeflow Training SDK as follows to try it:
pip install -U "kubeflow-training[huggingface]"
LLMs 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)
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: Renamemonitoring-port
flag towebook-server-port
(#1925 by @afritzler)
New Features
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)
(#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 elas...
v1.8.0-rc.0 release
New features
- Train/Fine-tune API Proposal for LLMs #1945 (deepanker13)
- Adding Training image needed for train api #1963 (deepanker13)
- [SDK] Train API #1962 (deepanker13)
- Train api dataset download changes #1959 (deepanker13)
- Train api init container creation #1958 (deepanker13)
- Publish trainer hugging face image #1985 (deepanker13)
- Support arm64 for Hugging Face trainer #2028 (tariq-hasan)
- Modify LLM Trainer to support BERT and Tiny LLaMA #2031 (andreyvelich)
- Implement webhook validations for the PyTorchJob #2035 (tenzen-y)
- Implement webhook validations for the XGBoostJob #2052 (tenzen-y)
- Implement webhook validation for the TFJob #2051 (tenzen-y)
- Implement webhook warnings for the MXJob #2058 (tenzen-y)
- Implement webhook validations for the PaddleJob #2057 (tenzen-y)
- Fail job for non-retryable exit codes #2071 (kellyaa)
- Adding fine tune example with s3 as the dataset store #2006 (deepanker13)
Bug fixes
- fix nproc env in elastic mode for pytorchjob #1948 (kuizhiqing)
- IsMasterRole fix in pytorchjob controller #1969 (deepanker13)
- fix: volcano podgroup should has a non-empty queue name #1977 (lowang-bh)
- Fix Master Label for PyTorchJob #1974 (andreyvelich)
- [SDK] Fix Worker and Master templates for PyTorchJob #1988 (andreyvelich)
- Fix import for HuggingFace Dataset Provider #2085 (andreyvelich)
- Upgrade controller-gen to v0.14.0 #2026 (champon1020)
- Fix Distributed Data Samplers in PyTorch Examples #2012 (andreyvelich)
- Fix URL in python SDK setup.py #2011 (garymm)
Misc
- Adding parallel support for coveralls #1956 (johnugeorge)
- torchrun example with cpu version pytorch #1965 (kuizhiqing)
- [SDK] Get Kubernetes Events for Job #1975 (andreyvelich)
- Fix Master Label for PyTorchJob #1974 (andreyvelich)
- [SDK] Add information about TrainingClient logging #1973 (andreyvelich)
- PyTorchJob: Always show warnings when using elasticPolicy.nProcPerNode #2067 (tenzen-y)
- SDK: Upgrade the minimum required Kubernetes version to v1.27.2 #2066 (tenzen-y)
- Test: Simplify and Identify pod-controller envtest #2084 (tenzen-y)
- E2E: Replace outdated images with latest ones #2083 (tenzen-y)
- Upgrade scheduler-plugins to v0.28.9 #2065 (tenzen-y)
v1.7.0 release
Breaking Changes
- Make scheduler-plugins the default gang scheduler. #1747 (Syulin7)
- Upgrade the kubernetes dependencies to v1.27 #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)
v1.7.0-rc.0 release
Breaking Changes
- Make scheduler-plugins the default gang scheduler. #1747 (Syulin7)
- Upgrade the kubernetes dependencies to v1.27 #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)
v1.6.0 release
Note: Since scheduler-plugins has changed API from sigs.k8s.io
with the x-k8s.io
, future releases of training operator(v1.7+) will not support scheduler-plugins v0.24.x or lower. Related: #1773
Note: Latest Python SDK 1.6 version does not support earlier training operator versions. The minimum training operator version required is v1.6.0 release. Related: #1702
New Features
- Support for k8s v1.25 in CI #1684 (johnugeorge)
- HPA support for PyTorch Elastic #1701 (johnugeorge)
- Adopting coschduling plugin #1724 (tenzen-y)
- Support for Paddlepaddle #1675 (kuizhiqing)
- Create TFJob and PyTorchJob from Function APIs in the Training SDK #1659 (andreyvelich)
- [SDK] Use Training Client without Kube Config #1740 (andreyvelich)
- [SDK] Create Unify Training Client #1719 (andreyvelich)
Bug fixes
- [SDK] pod has no metadata attr anymore in the get_job_logs() … #1760 (yaobaiwei)
- Add PodGroup as controller watch source #1666 (ggaaooppeenngg)
- fix infinite loop in init-pytorch container #1756 (kidddddddddddddddddddddd)
- Fix the success condition of the job in PyTorchJob's Elastic mode. #1752 (Syulin7)
- Fix XGBoost conditions bug #1737 (tenzen-y)
- To fix scaledown error, upgrade PyTorch version to v1.13.1 in echo example #1733 (tenzen-y)
- fix: support MxNet single host training when update mxJob status #1644 (PeterChg)
- fix: fix mxnet failed to update StartTime and CompletionTime #1643 (PeterChg)
- Fix the default LeaderElectionID and make it an argument #1639 (goyalankit)
- fix: fix wrong parameter for resolveControllerRef #1583 (fighterhit)
- fix: tfjob with restartPolicy=ExitCode not work #1562 (cheimu)
- fix: Mac M1 compatible Dockerfile and bump TF version #1700 (terrytangyuan)
- Fix status lost #1697 (ggaaooppeenngg)
- handle all restart policies #1649 (abin-thomas-by)
- [chore] fix typo #1648 (tenzen-y)
Misc
- Add validation for verifying that the CustomJob (e.g., TFJob) name meets DNS1035 #1748 (tenzen-y)
- Configure controller worker threads #1707 (HeGaoYuan)
- Validation Spec consistency #1705 (HeGaoYuan)
- [SDK] Remove Final Keyword from constants #1676 (andreyvelich)
- Fix Python installation in CI #1759 (tenzen-y)
- Update mpijob_controller.go #1755 (yshalabi)
- Set the default value of CleanPodPolicy to None #1754 (Syulin7)
- Update join Slack link #1750 (Syulin7)
- Update latest operator image #1742 (johnugeorge)
- Run E2E with various Python versions to verify Python SDK #1741 (tenzen-y)
- Add Yuki to reviewer group #1739 (johnugeorge)
- Trim down CRD descriptions #1735 (tenzen-y)
- Add CI to build example images #1731 (tenzen-y)
- Fix predicates of paddlepaddle-controller for scheduling.volcano.sh/v1beta1 PodGroup #1730 (tenzen-y)
- Fix indents on examples for tensorflow #1726 (tenzen-y)
- docs: Update Kubernetes requirement and version matrix #1721 (terrytangyuan)
- chore: Update the use of MultiWorkerMirroredStrategy in TF #1715 (terrytangyuan)
- Removing deprecated Job Labels #1702 (johnugeorge)
- Bump certifi from 2022.9.14 to 2022.12.7 in /py/kubeflow/tf_operator #1699 (dependabot[bot])
- Add myself to reviewer. #1689 (kuizhiqing)
- Upgrade the envtest version #1687 (tenzen-y)
- [chore] Upgrade some actions version #1686 (tenzen-y)
- Upgrade Golangci-lint #1685 (johnugeorge)
- Make a generic logger instead of the nil logger on dependent update #1680 (ggaaooppeenngg)
- Bump protobuf from 3.8.0 to 3.18.3 in /py/kubeflow/tf_operator #1669 (dependabot[bot])
- Removed GOARCH dependency for multiarch support #1674 (pranavpandit1)
- Update deployment.yaml #1668 (OmriShiv)
- Upgrade Go version to v1.19 #1663 (tenzen-y)
- Upgrade kubernetes versoin for test #1667 (tenzen-y)
- Adding support for linux/ppc64le in github actions for training-operator #1692 (amitmukati-2604)
- style: Refine name and signature of 2 replicaName functions #1660 (houz42)
- Update training operator sdk version to 1.5.0 #1651 (johnugeorge)
- Add finalizers to cluster-role #1646 (ArangoGutierrez)
- Update the cmd to support MPI operator in ReadME #1656 (denkensk)
Closed issues:
- The default value for CleanPodPolicy is inconsistent. #1753
- HPA support for PyTorch Elastic #1751
- Bug: allowance of non DNS-1035 compliant PyTorchJob names results in service creation failures and missing state [#1745](https://github.com/kubeflow/t...
v1.6.0-rc.1 release
Note: Since scheduler-plugins has changed API from sigs.k8s.io
with the x-k8s.io
, future releases of training operator(v1.7+) will not support scheduler-plugins v0.24.x or lower
Merged pull requests:
- [SDK] pod has no metadata attr anymore in the get_job_logs() … #1760 (yaobaiwei)
- Fix Python installation in CI #1759 (tenzen-y)
- fix infinite loop in init-pytorch container #1756 (kidddddddddddddddddddddd)
- Update mpijob_controller.go #1755 (yshalabi)
- Set the default value of CleanPodPolicy to None #1754 (Syulin7)
- Fix the success condition of the job in PyTorchJob's Elastic mode. #1752 (Syulin7)
- Update join Slack link #1750 (Syulin7)
- Add validation for verifying that the CustomJob (e.g., TFJob) name meets DNS1035 #1748 (tenzen-y)
- Update latest operator image #1742 (johnugeorge)
- Run E2E with various Python versions to verify Python SDK #1741 (tenzen-y)
- [SDK] Use Training Client without Kube Config #1740 (andreyvelich)
- Add Yuki to reviewer group #1739 (johnugeorge)
- Fix XGBoost conditions bug #1737 (tenzen-y)
- Add E2E test for gang-scheduling #1736 (tenzen-y)
- Trim down CRD descriptions #1735 (tenzen-y)
- To fix scaledown error, upgrade PyTorch version to v1.13.1 in echo example #1733 (tenzen-y)
- Add CI to build example images #1731 (tenzen-y)
- Fix predicates of paddlepaddle-controller for scheduling.volcano.sh/v1beta1 PodGroup #1730 (tenzen-y)
- Fix indents on examples for tensorflow #1726 (tenzen-y)
- Adopting coschduling plugin #1724 (tenzen-y)
- docs: Update Kubernetes requirement and version matrix #1721 (terrytangyuan)
- [SDK] Create Unify Training Client #1719 (andreyvelich)
- chore: Update the use of MultiWorkerMirroredStrategy in TF #1715 (terrytangyuan)
- Configure controller worker threads #1707 (HeGaoYuan)
- Validation Spec consistency #1705 (HeGaoYuan)
- Removing deprecated Job Labels #1702 (johnugeorge)
- HPA support for PyTorch Elastic #1701 (johnugeorge)
- fix: Mac M1 compatible Dockerfile and bump TF version #1700 (terrytangyuan)
- Bump certifi from 2022.9.14 to 2022.12.7 in /py/kubeflow/tf_operator #1699 (dependabot[bot])
- Fix status lost #1697 (ggaaooppeenngg)
- Adding support for linux/ppc64le in github actions for training-operator #1692 (amitmukati-2604)
- Add myself to reviewer. #1689 (kuizhiqing)
- Upgrade the envtest version #1687 (tenzen-y)
- [chore] Upgrade some actions version #1686 (tenzen-y)
- Upgrade Golangci-lint #1685 (johnugeorge)
- Support for k8s v1.25 in CI #1684 (johnugeorge)
- Make a generic logger instead of the nil logger on dependent update #1680 (ggaaooppeenngg)
- [SDK] Remove Final Keyword from constants #1676 (andreyvelich)
- [PaddlePaddle] support paddlejob #1675 (kuizhiqing)
- Removed GOARCH dependency for multiarch support #1674 (pranavpandit1)
- Bump protobuf from 3.8.0 to 3.18.3 in /py/kubeflow/tf_operator #1669 (dependabot[bot])
- Update deployment.yaml #1668 (OmriShiv)
- Upgrade kubernetes versoin for test #1667 (tenzen-y)
- Add PodGroup as controller watch source #1666 (ggaaooppeenngg)
- Upgrade Go version to v1.19 #1663 (tenzen-y)
- style: Refine name and signature of 2 replicaName functions #1660 (houz42)
- Create TFJob and PyTorchJob from Function APIs in the Training SDK #1659 (andreyvelich)
- Update the cmd to support MPI operator in ReadME #1656 (denkensk)
- Update training operator sdk version to 1.5.0 #1651 (johnugeorge)
- handle all restart policies #1649 (abin-thomas-by)
- [chore] fix typo #1648 (tenzen-y)
- Add finalizers to cluster-role #1646 (ArangoGutierrez)
- fix: support MxNet single host training when update mxJob status #1644 (PeterChg)
- fix: fix mxnet failed to update StartTime and CompletionTime #1643 (PeterChg)
- Fix the default LeaderElectionID and make it an argument #1639 (goyalankit)
- fix: fix wrong parameter for resolveControllerRef #1583 (fighterhit)
- fix: tfjob with restartPolicy=ExitCode not work #1562 (cheimu)
Closed issues:
- The default value for CleanPodPolicy is inconsistent. #1753
- HPA support for PyTorch Elastic #1751
- Bug: allowance of non DNS-1035 compliant PyTorchJob names results in service creation failures and missing state #1745
- paddle-operator can not get podgroup status(inqueue) with volcano when enable gang #1729
- *job API(master) cannot compatible with old job [#1725](https://github.com/kubeflow/training-opera...
v1.6.0-rc.0 release
v1.6.0-rc.0 release
v1.5.0 release
New Features
- Add clientset for MPIJob, PytorchJob, MXJob, and XGBoostJob #1610 (tenzen-y)
- Add all generation tools to Makefile #1609 (johnugeorge)
- Adding MPI python sdk #1608 (johnugeorge)
- Adding XGboost Python sdk #1607 (johnugeorge)
- Generating MPI python sdk #1606 (johnugeorge)
- Update k8s dependencies to v0.24.1 #1604 (johnugeorge)
- Migrate test framework to GHA #1603 (johnugeorge)
- Add mpi in update-codegen.sh #1600 (ggaaooppeenngg)
- MXNet SDK with Status check fix #1618 (johnugeorge)
Bug Fixes
- fix: MPIJob worker still running when NotEnoughResources #1621 (hackerboy01)
- fix comments for pytorch-controller #1620 (hackerboy01)
- fix: requeue when expire time is not up yet #1614 (Garrybest)
- Look for fully-qualified job role label in Python sdk #1588 (person142)
- fix torch env typo #1573 (kuizhiqing)
- Restart job on failure for Always,OnFailure Policy #1572 (georgkaleido)
- Increase success threshold #1568 (haoxins)
- update status.startTime for pytorchjob and xgboostjob #1567 (cheimu)
- fix: add mpijobs to kubeflow training role #1565 (henrysecond1)
- fix Pytorjob status inaccuracy when task replica scale down #1593 (PeterChg)
- fix: MPIJob cannot use gang-scheduling when --enable-gang-scheduling is set #1557 (cheimu)
- fix api reader issue #1551 (zw0610)
- fix label and CleanPodPolicy for mpi-controller #1550 (zw0610)
- fix UpdateJobStatusInApiServer when gang-scheduling is enabled #1549 (zw0610)
- fix: add namespace filtering when getting pods/services for jobs #1545 (henrysecond1)
- fix: set mpijob runPolicy.cleanPodPolicy to default none #1554 (cheimu)
Misc
- Update training controller image to latest #1625 (johnugeorge)
- Update SDK version to 1.5.0 #1624 (johnugeorge)
- Upgrade common to v0.4.3 #1623 (johnugeorge)
- Adding GHA for automatic image build and push #1615 (johnugeorge)
- Remove presubmit test depending on optional-test-infra #1596 (aws-kf-ci-bot)
- chore: stop action on first fail #1595 (jasonliu747)
- update img url in design doc #1591 (zw0610)
- Remove uncalled mpi-controller DeletePodsAndServices() #1558 (cheimu)
- Update MPIJob unit tests to use spec.runPolicy.cleanPodPolicy #1556 (cheimu)
- Remove
table-logger
dependency #1544 (person142) - Bump pyyaml from 5.1 to 5.4 in /py/kubeflow/tf_operator #1542 (dependabot[bot])
v1.5.0-rc.0 release
Closed issues:
- MPIJob worker still running when NotEnoughResources with enable-gang-scheduling==true? #1617
- unable to fetch TFJob when I use client.go run tfjob #1612
- Pytorchjob dist-mnist no training logs #1601
- kubectl get tfjob -o yaml, but not status output #1598
- missing image in tf_job_design_doc.md #1590
- Labels in Python client are out of date #1587
- PyTorchJob Pods "Not Ready" After Completing Training #1577
- cannot use "github.com/go-openapi/spec".Schema{...} (type "github.com/go-openapi/spec".Schema) as type "k8s.io/kube-openapi/pkg/validation/spec".Schema in field value #1576
- PyTorchJob: OnFailure Policy won't handle pod failure gracefully #1570
- pytorchjob doesn't have status.startTIme. #1566
- Optional-test-infra Deprecation Notice - Training #1561
- Should we update MPIJob unit test CleanPodPolicy field? #1555
- --enable-gang-scheduling=true doesn't work for MPIJob #1548
- PyTorchJob fails when creating a task with a different namespace but the same name #1543
- Reconcile PyTorchJob error: PyTorchJob.status.replicaStatuses: Invalid value: "null" after enable-gang-scheduling #1538
- Job TTLs not working #1533
- Support PodGroup in scheduler-plugins/coscheduling #1518
- support elastic training #1515
- Modified the configuration of RootLogger #1514
- Add checking import order in CI #1510
- Scale down of pytorchJob cause workers pod to restart #1509
- Support label selector based success/failure conditions #1507
- [feat] Support SuccessPolicy in PyTorchJob #1505
- pytorch elastic scheduler error #1504
- Could you add the example of MPIJob in this repository #1502
- [Feature] Create a Informer/ClientSet for PyTorch Jobs #1499
- [feature] Make init container injection logic availabel to all jobs #1498
- Roadmaps for 1.4 release #1496
- [bug] (MpiJob)Init container KubectlDeliveryImage should remain the ability that it can be specified from container parameters or environment variables. #1494
- Reconcile PyTorch Job error Operation cannot be fulfilled on pytrochjobs.kubeflow.org #1492
- Python PytorchJob: no attribute openapi_types for example code #1481
- PyTorch DistributedDataParallel training with multi nodes #1475
- Installing kubeflow-training breaks import for other kubeflow packages (katib, fairing, etc.) #1471
- Deprecate ksonnet and use python/golang to submit jobs #1468
- Help Wanted in ParameterServerStrategy Example. #1459
- Bug: SomeTimes Coredumped using tfjob #1456
- [question] PyTorchJob MNIST example training speed #1454
- tfjob status not match when EnableDynamicWorker set true #1452
- training-operator set scheduler error #1447
- [sdk]: Replace
TableLogger
component in the SDK for better support withipykernel>=6.x
#1446 - SDK: wait_for_job reports typeError #1445
- Update prometheus monitoring doc #1443
- Master branch should provide a nightly image #1433
- Clean up test folder before testing #1429
- Clean up TF specific docs #1424
- [feature] Support SchedulingPolicy in PyTorchJob #1414
- Hyperlinks in the "Overview" section is incorrect/not found #1411
- add workqueue metric #1407
- Validation fails for MXJob Tune example #1402
- Rate exceeded for aws ecr image #1400
- change layout to follow the standard of kubebuilder? #1397
- [example] kubeflow/tf-dist-mnist-test:1.0 is missing in v1.2-branch examples/v1/dist-mnist #1393
- Update kubeflow/website for 1.4 release #1392
- Cut beta release of tf-operator for 1.4 release #1385
- "invalid memory address or nil pointer dereference" #1382
- some questions about job sync #1379
- Provides a default Grafana dashboard #1376
- [feature] Support different PS/worker types #1369
- Need to copy all (mainly pytorch) framework's example dir to tf-operator/examples #1366
- Add more CRD validations markers to block invalid job on client apply #1363
- Update presubmit and post submit job triggers #1354
- Optimize post submit jobs flow #1353
- Enable leader election in controller manager using controllermanagerconfig #1350
- Support mpi jobs in universal operator #1345
- post-submit job failure in master branch #1343
- Improve observability of universal operator #1340
- Best practice to organize main.go and Dockerfile? #1333
- Should training operator keep clientset in the same repository? #1332
- Test image has incorrect tag? #1329
- Prepare e2e tests for all frameworks #1323
- Reduce e2e replica-restart-policy-tests running time #1319
- Improve logs structure by consolidating libs from controller runtime and controllers #1313
- Enable tests for all frameworks #1311
- [bug] The pod wil be recreated until the expectation expires #1306
- Upgrade CRDs to apiextensions.k8s.io/v1 #1304
- Add role details as new columns to
kubectl get jobs
output for CRD. #1301 - How to handle long pending pods in a TF-job? #1282
- Could you release a new version of Python SDK #1279
- Update swagger.json schema for TFJobSpec to include RunPolicy [#1278](https://github.com/kubeflow...