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Change the API of kubeflow pipeline from
vineyard.csi.read/writer t…
…o `client.get/put` (#1614) Signed-off-by: Ye Cao <caoye.cao@alibaba-inc.com>
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,10 @@ | ||
| FROM python:3.10 | ||
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| RUN pip3 install --no-cache-dir pandas requests scikit-learn numpy vineyard | ||
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| WORKDIR / | ||
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| ARG APP | ||
| ENV APP ${APP} | ||
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| COPY ${APP} /${APP} |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| REGISTRY := "ghcr.io/v6d-io/v6d/kubeflow-example" | ||
| docker-build: | ||
| docker build prepare-data/ -f Dockerfile \ | ||
| --build-arg APP=prepare-data.py \ | ||
| -t $(REGISTRY)/prepare-data | ||
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| docker build preprocess/ -f Dockerfile \ | ||
| --build-arg APP=preprocess.py \ | ||
| -t $(REGISTRY)/preprocess-data | ||
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| docker build train/ -f Dockerfile \ | ||
| --build-arg APP=train.py \ | ||
| -t $(REGISTRY)/train-data | ||
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| docker build test/ -f Dockerfile \ | ||
| --build-arg APP=test.py \ | ||
| -t $(REGISTRY)/test-data | ||
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| push-images: | ||
| docker push $(REGISTRY)/prepare-data | ||
| docker push $(REGISTRY)/preprocess-data | ||
| docker push $(REGISTRY)/train-data | ||
| docker push $(REGISTRY)/test-data |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,88 @@ | ||
| from kfp import dsl | ||
| from kubernetes.client.models import V1EnvVar | ||
| import kubernetes as k8s | ||
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| def PreProcess(data_multiplier: int, registry: str): | ||
| vineyard_volume = dsl.PipelineVolume( | ||
| volume=k8s.client.V1Volume( | ||
| name="vineyard-socket", | ||
| host_path=k8s.client.V1HostPathVolumeSource( | ||
| path="/var/run/vineyard-kubernetes/vineyard-system/vineyardd-sample" | ||
| ) | ||
| ) | ||
| ) | ||
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| op = dsl.ContainerOp( | ||
| name='Preprocess Data', | ||
| image = f'{registry}/preprocess-data', | ||
| container_kwargs={ | ||
| 'image_pull_policy': "Always", | ||
| 'env': [V1EnvVar('VINEYARD_IPC_SOCKET', '/var/run/vineyard.sock')] | ||
| }, | ||
| pvolumes={ | ||
| "/data": dsl.PipelineVolume(pvc="benchmark-data"), | ||
| "/var/run": vineyard_volume, | ||
| }, | ||
| command = ['python3', 'preprocess.py'], | ||
| arguments=[f'--data_multiplier={data_multiplier}', '--with_vineyard=True'], | ||
| ) | ||
| op.add_pod_label('scheduling.k8s.v6d.io/vineyardd-namespace', 'vineyard-system') | ||
| op.add_pod_label('scheduling.k8s.v6d.io/vineyardd', 'vineyardd-sample') | ||
| op.add_pod_label('scheduling.k8s.v6d.io/job', 'preprocess-data') | ||
| op.add_pod_annotation('scheduling.k8s.v6d.io/required', '') | ||
| return op | ||
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| def Train(comp1, registry: str): | ||
| op = dsl.ContainerOp( | ||
| name='Train Data', | ||
| image=f'{registry}/train-data', | ||
| container_kwargs={ | ||
| 'image_pull_policy': "Always", | ||
| 'env': [V1EnvVar('VINEYARD_IPC_SOCKET', '/var/run/vineyard.sock')] | ||
| }, | ||
| pvolumes={ | ||
| "/data": comp1.pvolumes['/data'], | ||
| "/var/run": comp1.pvolumes['/var/run'], | ||
| }, | ||
| command = ['python3', 'train.py'], | ||
| arguments=['--with_vineyard=True'], | ||
| ) | ||
| op.add_pod_label('scheduling.k8s.v6d.io/vineyardd-namespace', 'vineyard-system') | ||
| op.add_pod_label('scheduling.k8s.v6d.io/vineyardd', 'vineyardd-sample') | ||
| op.add_pod_label('scheduling.k8s.v6d.io/job', 'train-data') | ||
| op.add_pod_annotation('scheduling.k8s.v6d.io/required', 'preprocess-data') | ||
| return op | ||
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| def Test(comp2, registry: str): | ||
| op = dsl.ContainerOp( | ||
| name='Test Data', | ||
| image=f'{registry}/test-data', | ||
| container_kwargs={ | ||
| 'image_pull_policy': "Always", | ||
| 'env': [V1EnvVar('VINEYARD_IPC_SOCKET', '/var/run/vineyard.sock')] | ||
| }, | ||
| pvolumes={ | ||
| "/data": comp2.pvolumes['/data'], | ||
| "/var/run": comp2.pvolumes['/var/run'] | ||
| }, | ||
| command = ['python3', 'test.py'], | ||
| arguments=['--with_vineyard=True'], | ||
| ) | ||
| op.add_pod_label('scheduling.k8s.v6d.io/vineyardd-namespace', 'vineyard-system') | ||
| op.add_pod_label('scheduling.k8s.v6d.io/vineyardd', 'vineyardd-sample') | ||
| op.add_pod_label('scheduling.k8s.v6d.io/job', 'test-data') | ||
| op.add_pod_annotation('scheduling.k8s.v6d.io/required', 'train-data') | ||
| return op | ||
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| @dsl.pipeline( | ||
| name='Machine Learning Pipeline', | ||
| description='An example pipeline that trains and logs a regression model.' | ||
| ) | ||
| def pipeline(data_multiplier: int, registry: str): | ||
| comp1 = PreProcess(data_multiplier=data_multiplier, registry=registry) | ||
| comp2 = Train(comp1, registry=registry) | ||
| comp3 = Test(comp2, registry=registry) | ||
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| if __name__ == '__main__': | ||
| from kfp import compiler | ||
| compiler.Compiler().compile(pipeline, __file__[:-3]+ '.yaml') |
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