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Copy file name to clipboardExpand all lines: examples/v1beta1/kubeflow-pipelines/mpi-job-horovod.py
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# Copyright 2022 The Kubeflow Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Kubeflow Pipeline with Katib component.
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# In this example you will create Katib Experiment using Bayesian optimization algorithm.
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# As a Trial template you will use Kubeflow MPIJob with Horovod MNIST training container.
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# After that, you will compile a Kubeflow Pipeline with your Katib Experiment.
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# Use Kubeflow Pipelines UI to upload the Pipeline and create the Experiment and Run.
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# This Experiment is similar to this: https://github.com/kubeflow/katib/blob/master/examples/v1beta1/kubeflow-training-operator/mpijob-horovod.yaml
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