Update the TFJob image to the latest image and tag 0.3

docs_dev/releasing.md

@@ -169,6 +169,9 @@ to point to the new image.
 Update [workflows.libsonnet](https://github.com/kubeflow/kubeflow/blob/master/testing/workflows/components/workflows.libsonnet#L183) 
 to checkout kubeflow/tf-operator at the tag corresponding to the release.
 
+**Note** We should make extra_repos and their versions a ksonnet parameter and
+set it in prow_config.yaml. We can then set it differently on the release branch.
+
 ## Update PyTorchJob
 Identify the [release](https://github.com/kubeflow/pytorch-operator/releases) of pytorch-operator you want to use.
   * If you need to cut a new PyTorch operator release follow the instructions in [kubeflow/pytorch-operator](https://github.com/kubeflow/pytorch-operator/blob/master/releasing.md)
@@ -271,7 +274,7 @@ If you aren't already working on a release branch (of the form `v${MAJOR}.${MINO
 ## Updating ksonnet prototypes with docker image
 
 Here is the general process for how we update our Docker prototypes to point to
-the correct Docker image.
+the correct Docker image. See sections below for component specific instructions.
 
 1. Build a Docker image using whatever tagging schema you like 
 
@@ -307,6 +310,35 @@ the correct Docker image.
      * IMAGE_PATTERN should be a regex matching the images that you want to add the tag
    * Create a PR checking **into master** the changes in image_tags.yaml
 
+### TFJob Operator
+
+1. Identify the docker image in [gcr.io/kubeflow-images-public/tf_operator](https://gcr.io/kubeflow-images-public/tf_operator)
+
+   * Docker images are pushed by kubeflow/tf-operator postsubmit jobs
+   * You should pick an image corresponding to a green postsubmit at the desired
+     commit
+
+1. Update the entry for **gcr.io/kubeflow-images-public/tf_operator** in [image_tags.yaml](https://github.com/kubeflow/kubeflow/blob/master/releasing/image_tags.yaml#L288)
+
+    * Add a version that specifies the sha of the image you want to use and the release
+      tag you want to add e.g. "vX.Y.Z"
+
+    ```
+
+    ```
+1. Run the following command to apply the new image tag
+
+   ```
+   releasing/run_apply_image_tags.sh .*tf_operator.*:vX.Y.Z
+   ```
+
+   * The command needs to be run by someone with write permissions on 
+     gcr.io/kubeflow-images-public
+
+   * Typically this will be the release czar but you can also consult 
+     [kubeflow-images-public.iam.policy.yaml](https://github.com/kubeflow/testing/blob/master/release-infra/kubeflow-images-public.iam.policy.yaml)
+
+
 ### Release branching policy
 
 A release branch should be substantially _feature complete_ with respect to the intended release.  Code that is committed to `master` may be merged or cherry-picked on to a release branch, but code that is directly committed to the release branch should be solely applicable to that release (and should not be committed back to master).  In general, unless you're committing code that only applies to the release stream (for example, temporary hotfixes, backported security fixes, or image hashes), you should commit to `master` and then merge or cherry-pick to the release branch.

kubeflow/core/prototypes/tf-job-operator.jsonnet

@@ -5,7 +5,7 @@
 // @param name string Name to give to each of the components
 // @optionalParam namespace string null Namespace to use for the components. It is automatically inherited from the environment if not set.
 // @optionalParam cloud string null String identifying the cloud to customize the deployment for.
-// @optionalParam tfJobImage string gcr.io/kubeflow-images-public/tf_operator:v20180822-b576c253 The image for the TfJob controller.
+// @optionalParam tfJobImage string gcr.io/kubeflow-images-public/tf_operator:v0.3.0 The image for the TfJob controller.
 // @optionalParam tfDefaultImage string null The default image to use for TensorFlow.
 // @optionalParam tfJobUiServiceType string ClusterIP The service type for the UI.
 // @optionalParam tfJobVersion string v1alpha2 which version of the TFJob operator to use

kubeflow/core/tests/tf-job_test.jsonnet

@@ -1,15 +1,15 @@
 local tfjob = import "../tf-job-operator.libsonnet";
 local paramsv1alpha1 = {
   name:: "tf-job-operator",
-  tfJobImage:: "gcr.io/kubeflow-images-public/tf_operator:v20180226-403",
+  tfJobImage:: "gcr.io/kubeflow-images-public/tf_operator:v0.3.0",
   tfDefaultImage:: "null",
   deploymentScope:: "cluster",
   deploymentNamespace:: "null",
   tfJobVersion: "v1alpha1",
 };
 local paramsv1alpha2 = {
   name:: "tf-job-operator",
-  tfJobImage:: "gcr.io/kubeflow-images-public/tf_operator:v20180226-403",
+  tfJobImage:: "gcr.io/kubeflow-images-public/tf_operator:v0.3.0",
   tfDefaultImage:: "null",
   deploymentScope:: "cluster",
   deploymentNamespace:: "null",
@@ -66,7 +66,7 @@ std.assertEqual(
                   },
                 },
               ],
-              image: "gcr.io/kubeflow-images-public/tf_operator:v20180226-403",
+              image: "gcr.io/kubeflow-images-public/tf_operator:v0.3.0",
               name: "tf-job-operator",
               volumeMounts: [
                 {
@@ -358,7 +358,7 @@ std.assertEqual(
                   },
                 },
               ],
-              image: "gcr.io/kubeflow-images-public/tf_operator:v20180226-403",
+              image: "gcr.io/kubeflow-images-public/tf_operator:v0.3.0",
               name: "tf-job-operator",
               volumeMounts: [
                 {
@@ -415,7 +415,7 @@ std.assertEqual(
                   },
                 },
               ],
-              image: "gcr.io/kubeflow-images-public/tf_operator:v20180226-403",
+              image: "gcr.io/kubeflow-images-public/tf_operator:v0.3.0",
               name: "tf-job-dashboard",
               ports: [
                 {

releasing/image_tags.yaml

@@ -290,6 +290,9 @@ images:
   - digest: sha256:4f20e349f79059a009ef75aea158ca0c555fcc4a22e7c80a7cb9bff54fbab6c1
     tags:
     - v0.2.0
+  - digest: sha256:9007f398a8da9287e4693f7cb01e711c94d1404e8bf91885837fdd5fe3cca35
+    tags:
+    - v0.3.0
 - name: gcr.io/kubeflow-images-public/pytorch-operator
   versions:
   - digest: sha256:33aa95a3aa0108d5bc631fa3f8a04e646d4eef08a0e8c4695842f92ef0c79027