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minor fix (#1007)
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content/docs/pipelines/sdk/gcp/preemptible.md

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@@ -254,7 +254,7 @@ For example:
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flip = FlipCoinOp().set_gpu_limit(1, 'nvidia').apply(gcp.use_preemptible_nodepool())
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if __name__ == '__main__':
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import kfp.compiler as compiler
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compiler.Compiler().compile(flipcoin, __file__ + '.
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compiler.Compiler().compile(flipcoin, __file__ + '.zip')
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## Comparison with Cloud AI Platform Training service
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@@ -311,4 +311,4 @@ running preemptible VMs or GPUs:
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## Next steps
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* Explore further options for [customizing Kubeflow on GCP](/docs/gke/).
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* See how to [build pipelines with the SDK](/docs/pipelines/sdk/).
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* See how to [build pipelines with the SDK](/docs/pipelines/sdk/).

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