From 6e33e607c84514d6510af7b56224ccb601d65b29 Mon Sep 17 00:00:00 2001 From: Sarah Maddox Date: Thu, 29 Nov 2018 05:36:40 +1100 Subject: [PATCH] Clarifies relationship between tf-operator and TFJob. (#315) --- content/docs/guides/components/tftraining.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/content/docs/guides/components/tftraining.md b/content/docs/guides/components/tftraining.md index 9635f77acf..2ae682558c 100644 --- a/content/docs/guides/components/tftraining.md +++ b/content/docs/guides/components/tftraining.md @@ -1,10 +1,10 @@ +++ title = "TensorFlow Training (TFJob)" -linkTitle = "TensorFlow Training" +linkTitle = "TensorFlow Training (TFJob)" description = "" weight = 10 toc = true -bref= "Training using TensorFlow" +bref= "This page describes TFJob for training a machine learning model with TensorFlow." [menu] [menu.docs] parent = "components" @@ -13,8 +13,10 @@ bref= "Training using TensorFlow" ## What is TFJob? -TFJob is a Kubernetes [custom resource](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) that makes it easy to -run TensorFlow training jobs on Kubernetes. +TFJob is a Kubernetes +[custom resource](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) that you can use to run TensorFlow training jobs on Kubernetes. The Kubeflow +implementation of TFJob is in +[`tf-operator`](https://github.com/kubeflow/tf-operator). A TFJob is a resource with a simple YAML representation illustrated below.