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* Refactor Katib Examples * Fix links * Use Kind image Use kubectl wait * Update examples/v1beta1/kind-cluster/README.md Co-authored-by: Yuki Iwai <[email protected]> * Update examples/v1beta1/kind-cluster/README.md Co-authored-by: Yuki Iwai <[email protected]> * Increase timeout * Update docs/images-location.md Co-authored-by: Elias Koromilas <[email protected]> * Update examples/v1beta1/README.md Co-authored-by: Elias Koromilas <[email protected]> * Remove json * Add example links to training containers * Fix link * Update links to training-operator * Rename Trial settings to template * Rename Trial training containers to Trial images * Move NAS examples to Trial images * Add NAS links to README * Change TARGET DIR * Update examples/v1beta1/trial-images/mxnet-mnist/Dockerfile Co-authored-by: Yuki Iwai <[email protected]> * Update examples/v1beta1/trial-images/pytorch-mnist/Dockerfile Co-authored-by: Yuki Iwai <[email protected]> Co-authored-by: Yuki Iwai <[email protected]> Co-authored-by: Elias Koromilas <[email protected]>
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Differentiable Architecture Search (DARTS) Training Container
This is training container for the DARTS algorithm. It uses PyTorch convolutional neural network and CIFAR-10 dataset to train the model.
To know more about using DARTS in Katib, check this guide.
Katib uses this training container in the DARTS Experiments.