mirror of
https://github.com/hanzo-ml/katib.git
synced 2026-10-30 14:46:14 +00:00
55550f8df5
* Out-of-the-box support TrainJob Signed-off-by: Ram Lau <[email protected]> * Example for Pytorch Distributed Signed-off-by: Ram Lau <[email protected]> * Update examples/v1beta1/kubeflow-training-operator/trainjob-pytorch.yaml Co-authored-by: Andrey Velichkevich <[email protected]> Signed-off-by: Ram Lau <[email protected]> * Create folder for Trainer as suggested Signed-off-by: Ram Lau <[email protected]> * Movethe exmaple of trainjob to the new folder Signed-off-by: Ram Lau <[email protected]> * Ref the primaryContainerName to that of ClusterTrainingRuntime Signed-off-by: Ram Lau <[email protected]> * tenzen-y steps down from Katib approver role (#2561) Signed-off-by: Yuki Iwai <[email protected]> Signed-off-by: Ram Lau <[email protected]> * Set Default value for TrainJob Success, Failure Condition and PrimaryPodLabels in the trial Template Signed-off-by: Ram Lau <[email protected]> * Enchance Handling for default value of Success, Fail Cond & Pod Label Signed-off-by: Ram Lau <[email protected]> * Bug fix for default value condition Signed-off-by: Ram Lau <[email protected]> * code format by hack/update-gofmt.sh Signed-off-by: Ram Lau <[email protected]> * add TrainJob trial Resources to cert manager config Signed-off-by: Ram Lau <[email protected]> * add trainjob to controller rbac Signed-off-by: Ram Lau <[email protected]> * Grant JobSet permission to Katib controller Signed-off-by: Andrey Velichkevich <[email protected]> * Remove create/delete RBAC for TrainJob Signed-off-by: Andrey Velichkevich <[email protected]> * Fix docker build with libpcre2 Signed-off-by: Andrey Velichkevich <[email protected]> --------- Signed-off-by: Ram Lau <[email protected]> Signed-off-by: Yuki Iwai <[email protected]> Signed-off-by: Andrey Velichkevich <[email protected]> Co-authored-by: Andrey Velichkevich <[email protected]> Co-authored-by: Yuki Iwai <[email protected]>
Efficient Neural Architecture Search (ENAS) Training Container
This is training container for the ENAS algorithm. It uses Keras convolutional neural network and CIFAR-10 dataset to train the model.
To know more about using ENAS in Katib, check this guide.
Katib uses this training container in the ENAS Experiments.