Merge pull request #235 from opendatahub-io/kfp_included

no longer use pull secret and use stage
opendatahub-io · Dec 11, 2024 · a7de1b0 · a7de1b0
2 parents 116ead6 + 28b0611
commit a7de1b0
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Showing 5 changed files with 9 additions and 25 deletions.
diff --git a/importer-pipeline.yaml b/importer-pipeline.yaml
@@ -32,7 +32,7 @@ deploymentSpec:
         env:
         - name: REGISTRY_AUTH_FILE
           value: /mnt/containers/.dockerconfigjson
-        image: quay.io/redhat-et/ilab:1.3
+        image: registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1
 pipelineInfo:
   description: Helper pipeline to the InstructLab pipeline which allows users to seed/import
     a new base model

diff --git a/pipeline.py b/pipeline.py
@@ -10,7 +10,6 @@
     DeletePVC,
     mount_pvc,
     set_image_pull_policy,
-    set_image_pull_secrets,
     use_config_map_as_env,
     use_secret_as_env,
     use_secret_as_volume,
@@ -23,7 +22,6 @@
 MOCKED_STAGES = ["sdg", "train", "eval"]
 PIPELINE_FILE_NAME = "pipeline.yaml"
 IMPORTER_PIPELINE_FILE_NAME = "importer-pipeline.yaml"
-IMAGE_PULL_SECRET = "redhat-et-ilab-botty-pull-secret"
 STANDALONE_TEMPLATE_FILE_NAME = "standalone.tpl"
 GENERATED_STANDALONE_FILE_NAME = "standalone.py"
 DEFAULT_REPO_URL = "https://github.com/instructlab/taxonomy.git"
@@ -213,8 +211,6 @@ def pipeline(
             mount_path="/data",
         )
 
-        set_image_pull_secrets(sdg_task, [IMAGE_PULL_SECRET])
-
         # uncomment if updating image with same tag
         # set_image_pull_policy(sdg_task, "Always")
 
@@ -252,8 +248,6 @@ def pipeline(
         data_processing_task.set_caching_options(False)
         data_processing_task.set_env_variable("XDG_CACHE_HOME", "/tmp")
 
-        set_image_pull_secrets(data_processing_task, [IMAGE_PULL_SECRET])
-
         # Upload "skills_processed_data" and "knowledge_processed_data" artifacts to S3 without blocking the rest of the workflow
         skills_processed_data_to_artifact_task = skills_processed_data_to_artifact_op()
         skills_processed_data_to_artifact_task.after(data_processing_task)
@@ -353,7 +347,6 @@ def pipeline(
             JUDGE_CONFIG_MAP,
             dict(endpoint="JUDGE_ENDPOINT", model="JUDGE_NAME"),
         )
-        set_image_pull_secrets(run_mt_bench_task, [IMAGE_PULL_SECRET])
         use_secret_as_env(run_mt_bench_task, JUDGE_SECRET, {"api_key": "JUDGE_API_KEY"})
 
         # uncomment if updating image with same tag
@@ -392,7 +385,6 @@ def pipeline(
 
         final_eval_task.set_env_variable("HOME", "/tmp")
         final_eval_task.set_env_variable("HF_HOME", "/tmp")
-        set_image_pull_secrets(final_eval_task, [IMAGE_PULL_SECRET])
 
         # uncomment if updating image with same tag
         # set_image_pull_policy(final_eval_task, "Always")

diff --git a/pipeline.yaml b/pipeline.yaml
@@ -648,7 +648,7 @@ deploymentSpec:
         env:
         - name: XDG_CACHE_HOME
           value: /tmp
-        image: quay.io/redhat-et/ilab:1.3
+        image: registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1
     exec-deletepvc:
       container:
         image: argostub/deletepvc
@@ -747,7 +747,7 @@ deploymentSpec:
           \       path_to_data = \"/input_data/knowledge/data.jsonl\"\n    elif phase_num\
           \ == 2:\n        path_to_model = list_phase1_final_model()\n        path_to_data\
           \ = \"/input_data/skills/data.jsonl\"\n    else:\n        raise RuntimeError(f\"\
-          Unsupported value of {phase_num=}\")\n\n    image = \"quay.io/redhat-et/ilab:1.3\"\
+          Unsupported value of {phase_num=}\")\n\n    image = \"registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1\"\
           \n\n    manifest = inspect.cleandoc(\n        f\"\"\"\n        apiVersion:\
           \ kubeflow.org/v1\n        kind: PyTorchJob\n        metadata:\n       \
           \   name: {name}\n        spec:\n          nprocPerNode: \\\"{nproc_per_node}\\\
@@ -951,7 +951,7 @@ deploymentSpec:
           \       path_to_data = \"/input_data/knowledge/data.jsonl\"\n    elif phase_num\
           \ == 2:\n        path_to_model = list_phase1_final_model()\n        path_to_data\
           \ = \"/input_data/skills/data.jsonl\"\n    else:\n        raise RuntimeError(f\"\
-          Unsupported value of {phase_num=}\")\n\n    image = \"quay.io/redhat-et/ilab:1.3\"\
+          Unsupported value of {phase_num=}\")\n\n    image = \"registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1\"\
           \n\n    manifest = inspect.cleandoc(\n        f\"\"\"\n        apiVersion:\
           \ kubeflow.org/v1\n        kind: PyTorchJob\n        metadata:\n       \
           \   name: {name}\n        spec:\n          nprocPerNode: \\\"{nproc_per_node}\\\
@@ -1373,7 +1373,7 @@ deploymentSpec:
           value: /tmp
         - name: HF_HOME
           value: /tmp
-        image: quay.io/redhat-et/ilab:1.3
+        image: registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1
         resources:
           accelerator:
             count: '1'
@@ -1509,7 +1509,7 @@ deploymentSpec:
           value: /tmp
         - name: HF_HOME
           value: /tmp
-        image: quay.io/redhat-et/ilab:1.3
+        image: registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1
         resources:
           accelerator:
             count: '1'
@@ -1619,7 +1619,7 @@ deploymentSpec:
           value: /tmp
         - name: HF_HOME
           value: /tmp
-        image: quay.io/redhat-et/ilab:1.3
+        image: registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1
     exec-sdg-to-artifact-op:
       container:
         args:
@@ -2241,8 +2241,6 @@ platforms:
     deploymentSpec:
       executors:
         exec-data-processing-op:
-          imagePullSecret:
-          - secretName: redhat-et-ilab-botty-pull-secret
           pvcMount:
           - mountPath: /model
             taskOutputParameter:
@@ -2296,8 +2294,6 @@ platforms:
               envVar: JUDGE_ENDPOINT
             - configMapKey: model
               envVar: JUDGE_NAME
-          imagePullSecret:
-          - secretName: redhat-et-ilab-botty-pull-secret
           pvcMount:
           - mountPath: /output
             taskOutputParameter:
@@ -2324,8 +2320,6 @@ platforms:
               envVar: JUDGE_ENDPOINT
             - configMapKey: model
               envVar: JUDGE_NAME
-          imagePullSecret:
-          - secretName: redhat-et-ilab-botty-pull-secret
           pvcMount:
           - mountPath: /output
             taskOutputParameter:
@@ -2344,8 +2338,6 @@ platforms:
               envVar: endpoint
             - configMapKey: model
               envVar: model
-          imagePullSecret:
-          - secretName: redhat-et-ilab-botty-pull-secret
           pvcMount:
           - mountPath: /data
             taskOutputParameter:

diff --git a/training/components.py b/training/components.py
@@ -167,7 +167,7 @@ def list_phase1_final_model():
     else:
         raise RuntimeError(f"Unsupported value of {phase_num=}")
 
-    image = "quay.io/redhat-et/ilab:1.3"
+    image = "registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1"
 
     manifest = inspect.cleandoc(
         f"""

diff --git a/utils/consts.py b/utils/consts.py
@@ -1,4 +1,4 @@
 PYTHON_IMAGE = "quay.io/modh/odh-generic-data-science-notebook:v3-2024b-20241111"
 TOOLBOX_IMAGE = "registry.access.redhat.com/ubi9/toolbox"
 OC_IMAGE = "registry.redhat.io/openshift4/ose-cli"
-RHELAI_IMAGE = "quay.io/redhat-et/ilab:1.3"
+RHELAI_IMAGE = "registry.stage.redhat.io/rhelai1/instructlab-nvidia-rhel9:1.3.1"