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SivananthamandGitHub
a869657f25
* Fix python linter Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Format e2e tests Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Format hack, docs Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Add py-fmt target Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Update python lint workflow Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Rebase master Signed-off-by: Sivanantham Chinnaiyan <[email protected]> --------- Signed-off-by: Sivanantham Chinnaiyan <[email protected]>
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
#
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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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import kfp.compiler as compiler
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import kfp.dsl as dsl
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from kfp import components
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# kfserving_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/'
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# 'master/components/kubeflow/kfserving/component.yaml')
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kserve_op = components.load_component_from_url(
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"https://raw.githubusercontent.com/kubeflow/pipelines/"
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"master/components/kserve/component.yaml"
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)
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@dsl.pipeline(name="KServe pipeline", description="A pipeline for KServe.")
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def kservePipeline(
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action="apply",
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model_name="tensorflow-sample",
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model_uri="gs://kfserving-examples/models/tensorflow/flowers",
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namespace="anonymous",
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framework="tensorflow",
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):
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kserve_op(
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action=action,
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model_name=model_name,
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model_uri=model_uri,
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namespace=namespace,
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framework=framework,
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)
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if __name__ == "__main__":
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compiler.Compiler().compile(kservePipeline, __file__ + ".tar.gz")
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