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fix: remove remaining MXNet dependency. (#2456)
Signed-off-by: Electronic-Waste <[email protected]>
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README.md

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@@ -18,8 +18,7 @@ Katib supports
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Katib is the project which is agnostic to machine learning (ML) frameworks.
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It can tune hyperparameters of applications written in any language of the
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users’ choice and natively supports many ML frameworks, such as
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[TensorFlow](https://www.tensorflow.org/), [Apache MXNet](https://mxnet.apache.org/),
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[PyTorch](https://pytorch.org/), [XGBoost](https://xgboost.readthedocs.io/en/latest/), and others.
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[TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [XGBoost](https://xgboost.readthedocs.io/en/latest/), and others.
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Katib can perform training jobs using any Kubernetes
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[Custom Resources](https://www.kubeflow.org/docs/components/katib/trial-template/)

docs/images-location.md

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@@ -271,17 +271,6 @@ The following table shows images for training containers which are used in the
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<a href="https://github.com/kubeflow/katib/blob/master/examples/v1beta1/trial-images/tf-mnist-with-summaries/Dockerfile">Dockerfile</a>
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</td>
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</tr>
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<tr align="center">
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<td>
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<code>docker.io/bytepsimage/mxnet</code>
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</td>
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<td>
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Distributed BytePS example for MXJob
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</td>
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<td>
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<a href="https://github.com/bytedance/byteps/blob/v0.2.5/docker/Dockerfile">Dockerfile</a>
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</td>
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</tr>
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<tr align="center">
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<td>
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<code>docker.io/kubeflowkatib/xgboost-lightgbm</code>

examples/v1beta1/README.md

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@@ -122,8 +122,6 @@ Check the following examples for the various distributed operators:
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- [PyTorchJob MNIST](./kubeflow-training-operator/pytorchjob-mnist.yaml)
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- [MXJob BytePS](./kubeflow-training-operator/mxjob-byteps.yaml)
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- [XGBoostJob LightGBM](./kubeflow-training-operator/xgboostjob-lightgbm.yaml)
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- [MPIJob Horovod](./kubeflow-training-operator/mpijob-horovod.yaml)

examples/v1beta1/kubeflow-pipelines/early-stopping.ipynb

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"In this notebook you will:\n",
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"- Create Katib Experiment using random algorithm.\n",
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"- Use median stopping rule as an early stopping algorithm.\n",
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"- Use Kubernetes Job with mxnet mnist training container as a Trial template.\n",
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"- Use Kubernetes Job with pytorch mnist training container as a Trial template.\n",
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"- Create Pipeline to get the optimal hyperparameters.\n",
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"\n",
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"Reference documentation:\n",

examples/v1beta1/kubeflow-training-operator/mxjob-byteps.yaml

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hack/gen-python-sdk/post_gen.py

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@@ -59,9 +59,6 @@ def _rewrite_helper(input_file, output_file, rewrite_rules):
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lines.append(
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"from kubeflow.katib.constants.constants import BASE_IMAGE_PYTORCH\n"
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)
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lines.append(
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"from kubeflow.katib.constants.constants import BASE_IMAGE_MXNET\n"
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)
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# Add Kubernetes models to proper deserialization of Katib models.
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if output_file == "sdk/python/v1beta1/kubeflow/katib/models/__init__.py":

manifests/v1beta1/components/controller/rbac.yaml

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@@ -97,7 +97,6 @@ rules:
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- pytorchjobs
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- mpijobs
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- xgboostjobs
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- mxjobs
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verbs:
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- "get"
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- "list"

manifests/v1beta1/installs/katib-cert-manager/katib-config.yaml

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- PyTorchJob.v1.kubeflow.org
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- MPIJob.v1.kubeflow.org
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- XGBoostJob.v1.kubeflow.org
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- MXJob.v1.kubeflow.org
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runtime:
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metricsCollectors:
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- kind: StdOut

manifests/v1beta1/installs/katib-external-db/katib-config.yaml

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- PyTorchJob.v1.kubeflow.org
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- MPIJob.v1.kubeflow.org
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- XGBoostJob.v1.kubeflow.org
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- MXJob.v1.kubeflow.org
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runtime:
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metricsCollectors:
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- kind: StdOut

manifests/v1beta1/installs/katib-leader-election/katib-config.yaml

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- PyTorchJob.v1.kubeflow.org
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- MPIJob.v1.kubeflow.org
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- XGBoostJob.v1.kubeflow.org
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- MXJob.v1.kubeflow.org
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runtime:
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metricsCollectors:
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- kind: StdOut

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