kubeflow pipeline Failed to execute component: unable to get pipeline with PipelineName - kubeflow

Question

Install follow https://github.com/kubeflow/manifests in v1.4.1
KFP version: 1.7.0
KFP SDK version: build version dev_local
k3s Kubernetes 1.19
use demo example to add pipline
kfp 1.8.10
kfp-pipeline-spec 0.1.13
kfp-server-api 1.7.1
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import kfp
import kfp.dsl as dsl
from kfp.v2.dsl import component
from kfp import compiler
#component(
base_image="library/python:3.7"
)
def add(a: float, b: float) -> float:
'''Calculates sum of two arguments'''
return a + b
#dsl.pipeline(
name='v2add',
description='An example pipeline that performs addition calculations.',
# pipeline_root='gs://my-pipeline-root/example-pipeline'
)
def add_pipeline(a: float = 1, b: float = 7):
add_task = add(a, b)
compiler.Compiler(
mode=kfp.dsl.PipelineExecutionMode.V2_COMPATIBLE,
launcher_image='library/gcr.io/ml-pipeline/kfp-launcher:1.8.7'
).compile(pipeline_func=add_pipeline, package_path='pipeline.yaml')
I upload the pipeline.yaml and start a run get error
logs
I1231 10:12:23.830486 1 launcher.go:144] PipelineRoot defaults to "minio://mlpipeline/v2/artifacts".
I1231 10:12:23.830866 1 cache.go:143] Cannot detect ml-pipeline in the same namespace, default to ml-pipeline.kubeflow:8887 as KFP endpoint.
I1231 10:12:23.830880 1 cache.go:120] Connecting to cache endpoint ml-pipeline.kubeflow:8887
F1231 10:12:23.832000 1 main.go:50] Failed to execute component: unable to get pipeline with PipelineName "pipeline/v2add" PipelineRunID "7e2bdeeb-aa6f-4109-a508-63a1be22267c": Failed GetContextByTypeAndName(type="system.Pipeline", name="pipeline/v2add")
pod
kind: Pod
apiVersion: v1
metadata:
name: v2add-rzrht-37236994
namespace: kubeflow-user-example-com
selfLink: /api/v1/namespaces/kubeflow-user-example-com/pods/v2add-rzrht-37236994
uid: 3ceb73e5-80b5-4844-8cc8-8f2bf61319d2
resourceVersion: '28824661'
creationTimestamp: '2021-12-31T10:12:21Z'
labels:
pipeline/runid: 7e2bdeeb-aa6f-4109-a508-63a1be22267c
pipelines.kubeflow.org/cache_enabled: 'true'
pipelines.kubeflow.org/enable_caching: 'true'
pipelines.kubeflow.org/kfp_sdk_version: 1.8.10
pipelines.kubeflow.org/pipeline-sdk-type: kfp
pipelines.kubeflow.org/v2_component: 'true'
workflows.argoproj.io/completed: 'true'
workflows.argoproj.io/workflow: v2add-rzrht
annotations:
pipelines.kubeflow.org/arguments.parameters: '{"a": "1", "b": "7"}'
pipelines.kubeflow.org/component_ref: '{}'
pipelines.kubeflow.org/v2_component: 'true'
sidecar.istio.io/inject: 'false'
workflows.argoproj.io/node-name: v2add-rzrht.add
workflows.argoproj.io/outputs: >-
{"artifacts":[{"name":"add-Output","path":"/tmp/outputs/Output/data"},{"name":"main-logs","s3":{"key":"artifacts/v2add-rzrht/2021/12/31/v2add-rzrht-37236994/main.log"}}]}
workflows.argoproj.io/template: >-
{"name":"add","inputs":{"parameters":[{"name":"a","value":"1"},{"name":"b","value":"7"},{"name":"pipeline-name","value":"pipeline/v2add"},{"name":"pipeline-root","value":""}]},"outputs":{"artifacts":[{"name":"add-Output","path":"/tmp/outputs/Output/data"}]},"metadata":{"annotations":{"pipelines.kubeflow.org/arguments.parameters":"{\"a\":
\"1\", \"b\":
\"7\"}","pipelines.kubeflow.org/component_ref":"{}","pipelines.kubeflow.org/v2_component":"true","sidecar.istio.io/inject":"false"},"labels":{"pipelines.kubeflow.org/cache_enabled":"true","pipelines.kubeflow.org/enable_caching":"true","pipelines.kubeflow.org/kfp_sdk_version":"1.8.10","pipelines.kubeflow.org/pipeline-sdk-type":"kfp","pipelines.kubeflow.org/v2_component":"true"}},"container":{"name":"","image":"library/python:3.7","command":["/kfp-launcher/launch","--mlmd_server_address","$(METADATA_GRPC_SERVICE_HOST)","--mlmd_server_port","$(METADATA_GRPC_SERVICE_PORT)","--runtime_info_json","$(KFP_V2_RUNTIME_INFO)","--container_image","$(KFP_V2_IMAGE)","--task_name","add","--pipeline_name","pipeline/v2add","--run_id","$(KFP_RUN_ID)","--run_resource","workflows.argoproj.io/$(WORKFLOW_ID)","--namespace","$(KFP_NAMESPACE)","--pod_name","$(KFP_POD_NAME)","--pod_uid","$(KFP_POD_UID)","--pipeline_root","","--enable_caching","$(ENABLE_CACHING)","--","a=1","b=7","--"],"args":["sh","-c","\nif
! [ -x \"$(command -v pip)\" ]; then\n python3 -m ensurepip || python3
-m ensurepip --user || apt-get install
python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install
--quiet --no-warn-script-location 'kfp==1.8.10' \u0026\u0026 \"$0\"
\"$#\"\n","sh","-ec","program_path=$(mktemp -d)\nprintf \"%s\" \"$0\"
\u003e \"$program_path/ephemeral_component.py\"\npython3 -m
kfp.v2.components.executor_main
--component_module_path
\"$program_path/ephemeral_component.py\"
\"$#\"\n","\nimport kfp\nfrom kfp.v2 import dsl\nfrom kfp.v2.dsl import
*\nfrom typing import *\n\ndef add(a: float, b: float) -\u003e float:\n
'''Calculates sum of two arguments'''\n return a +
b\n\n","--executor_input","{{$}}","--function_to_execute","add"],"envFrom":[{"configMapRef":{"name":"metadata-grpc-configmap","optional":true}}],"env":[{"name":"KFP_POD_NAME","valueFrom":{"fieldRef":{"fieldPath":"metadata.name"}}},{"name":"KFP_POD_UID","valueFrom":{"fieldRef":{"fieldPath":"metadata.uid"}}},{"name":"KFP_NAMESPACE","valueFrom":{"fieldRef":{"fieldPath":"metadata.namespace"}}},{"name":"WORKFLOW_ID","valueFrom":{"fieldRef":{"fieldPath":"metadata.labels['workflows.argoproj.io/workflow']"}}},{"name":"KFP_RUN_ID","valueFrom":{"fieldRef":{"fieldPath":"metadata.labels['pipeline/runid']"}}},{"name":"ENABLE_CACHING","valueFrom":{"fieldRef":{"fieldPath":"metadata.labels['pipelines.kubeflow.org/enable_caching']"}}},{"name":"KFP_V2_IMAGE","value":"library/python:3.7"},{"name":"KFP_V2_RUNTIME_INFO","value":"{\"inputParameters\":
{\"a\": {\"type\": \"DOUBLE\"}, \"b\": {\"type\": \"DOUBLE\"}},
\"inputArtifacts\": {}, \"outputParameters\": {\"Output\": {\"type\":
\"DOUBLE\", \"path\": \"/tmp/outputs/Output/data\"}}, \"outputArtifacts\":
{}}"}],"resources":{},"volumeMounts":[{"name":"kfp-launcher","mountPath":"/kfp-launcher"}]},"volumes":[{"name":"kfp-launcher"}],"initContainers":[{"name":"kfp-launcher","image":"library/gcr.io/ml-pipeline/kfp-launcher:1.8.7","command":["launcher","--copy","/kfp-launcher/launch"],"resources":{},"mirrorVolumeMounts":true}],"archiveLocation":{"archiveLogs":true,"s3":{"endpoint":"minio-service.kubeflow:9000","bucket":"mlpipeline","insecure":true,"accessKeySecret":{"name":"mlpipeline-minio-artifact","key":"accesskey"},"secretKeySecret":{"name":"mlpipeline-minio-artifact","key":"secretkey"},"key":"artifacts/v2add-rzrht/2021/12/31/v2add-rzrht-37236994"}}}
ownerReferences:
- apiVersion: argoproj.io/v1alpha1
kind: Workflow
name: v2add-rzrht
uid: 9a806b04-d5fa-49eb-9e46-7502bc3e7ac5
controller: true
blockOwnerDeletion: true
managedFields:
- manager: workflow-controller
operation: Update
apiVersion: v1
time: '2021-12-31T10:12:21Z'
fieldsType: FieldsV1
fieldsV1:
'f:metadata':
'f:annotations':
.: {}
'f:pipelines.kubeflow.org/arguments.parameters': {}
'f:pipelines.kubeflow.org/component_ref': {}
'f:pipelines.kubeflow.org/v2_component': {}
'f:sidecar.istio.io/inject': {}
'f:workflows.argoproj.io/node-name': {}
'f:workflows.argoproj.io/template': {}
'f:labels':
.: {}
'f:pipeline/runid': {}
'f:pipelines.kubeflow.org/cache_enabled': {}
'f:pipelines.kubeflow.org/enable_caching': {}
'f:pipelines.kubeflow.org/kfp_sdk_version': {}
'f:pipelines.kubeflow.org/pipeline-sdk-type': {}
'f:pipelines.kubeflow.org/v2_component': {}
'f:workflows.argoproj.io/completed': {}
'f:workflows.argoproj.io/workflow': {}
'f:ownerReferences':
.: {}
'k:{"uid":"9a806b04-d5fa-49eb-9e46-7502bc3e7ac5"}':
.: {}
'f:apiVersion': {}
'f:blockOwnerDeletion': {}
'f:controller': {}
'f:kind': {}
'f:name': {}
'f:uid': {}
'f:spec':
'f:containers':
'k:{"name":"main"}':
.: {}
'f:args': {}
'f:command': {}
'f:env':
.: {}
'k:{"name":"ARGO_CONTAINER_NAME"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"ARGO_INCLUDE_SCRIPT_OUTPUT"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"ENABLE_CACHING"}':
.: {}
'f:name': {}
'f:valueFrom':
.: {}
'f:fieldRef':
.: {}
'f:apiVersion': {}
'f:fieldPath': {}
'k:{"name":"KFP_NAMESPACE"}':
.: {}
'f:name': {}
'f:valueFrom':
.: {}
'f:fieldRef':
.: {}
'f:apiVersion': {}
'f:fieldPath': {}
'k:{"name":"KFP_POD_NAME"}':
.: {}
'f:name': {}
'f:valueFrom':
.: {}
'f:fieldRef':
.: {}
'f:apiVersion': {}
'f:fieldPath': {}
'k:{"name":"KFP_POD_UID"}':
.: {}
'f:name': {}
'f:valueFrom':
.: {}
'f:fieldRef':
.: {}
'f:apiVersion': {}
'f:fieldPath': {}
'k:{"name":"KFP_RUN_ID"}':
.: {}
'f:name': {}
'f:valueFrom':
.: {}
'f:fieldRef':
.: {}
'f:apiVersion': {}
'f:fieldPath': {}
'k:{"name":"KFP_V2_IMAGE"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"KFP_V2_RUNTIME_INFO"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"WORKFLOW_ID"}':
.: {}
'f:name': {}
'f:valueFrom':
.: {}
'f:fieldRef':
.: {}
'f:apiVersion': {}
'f:fieldPath': {}
'f:envFrom': {}
'f:image': {}
'f:imagePullPolicy': {}
'f:name': {}
'f:resources': {}
'f:terminationMessagePath': {}
'f:terminationMessagePolicy': {}
'f:volumeMounts':
.: {}
'k:{"mountPath":"/kfp-launcher"}':
.: {}
'f:mountPath': {}
'f:name': {}
'k:{"name":"wait"}':
.: {}
'f:command': {}
'f:env':
.: {}
'k:{"name":"ARGO_CONTAINER_NAME"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"ARGO_CONTAINER_RUNTIME_EXECUTOR"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"ARGO_INCLUDE_SCRIPT_OUTPUT"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"ARGO_POD_NAME"}':
.: {}
'f:name': {}
'f:valueFrom':
.: {}
'f:fieldRef':
.: {}
'f:apiVersion': {}
'f:fieldPath': {}
'k:{"name":"GODEBUG"}':
.: {}
'f:name': {}
'f:value': {}
'f:image': {}
'f:imagePullPolicy': {}
'f:name': {}
'f:resources':
.: {}
'f:limits':
.: {}
'f:cpu': {}
'f:memory': {}
'f:requests':
.: {}
'f:cpu': {}
'f:memory': {}
'f:terminationMessagePath': {}
'f:terminationMessagePolicy': {}
'f:volumeMounts':
.: {}
'k:{"mountPath":"/argo/podmetadata"}':
.: {}
'f:mountPath': {}
'f:name': {}
'k:{"mountPath":"/argo/secret/mlpipeline-minio-artifact"}':
.: {}
'f:mountPath': {}
'f:name': {}
'f:readOnly': {}
'k:{"mountPath":"/mainctrfs/kfp-launcher"}':
.: {}
'f:mountPath': {}
'f:name': {}
'k:{"mountPath":"/var/run/docker.sock"}':
.: {}
'f:mountPath': {}
'f:name': {}
'f:readOnly': {}
'f:dnsPolicy': {}
'f:enableServiceLinks': {}
'f:initContainers':
.: {}
'k:{"name":"kfp-launcher"}':
.: {}
'f:command': {}
'f:env':
.: {}
'k:{"name":"ARGO_CONTAINER_NAME"}':
.: {}
'f:name': {}
'f:value': {}
'k:{"name":"ARGO_INCLUDE_SCRIPT_OUTPUT"}':
.: {}
'f:name': {}
'f:value': {}
'f:image': {}
'f:imagePullPolicy': {}
'f:name': {}
'f:resources': {}
'f:terminationMessagePath': {}
'f:terminationMessagePolicy': {}
'f:volumeMounts':
.: {}
'k:{"mountPath":"/kfp-launcher"}':
.: {}
'f:mountPath': {}
'f:name': {}
'f:restartPolicy': {}
'f:schedulerName': {}
'f:securityContext': {}
'f:serviceAccount': {}
'f:serviceAccountName': {}
'f:terminationGracePeriodSeconds': {}
'f:volumes':
.: {}
'k:{"name":"docker-sock"}':
.: {}
'f:hostPath':
.: {}
'f:path': {}
'f:type': {}
'f:name': {}
'k:{"name":"kfp-launcher"}':
.: {}
'f:emptyDir': {}
'f:name': {}
'k:{"name":"mlpipeline-minio-artifact"}':
.: {}
'f:name': {}
'f:secret':
.: {}
'f:defaultMode': {}
'f:items': {}
'f:secretName': {}
'k:{"name":"podmetadata"}':
.: {}
'f:downwardAPI':
.: {}
'f:defaultMode': {}
'f:items': {}
'f:name': {}
- manager: k3s
operation: Update
apiVersion: v1
time: '2021-12-31T10:12:24Z'
fieldsType: FieldsV1
fieldsV1:
'f:status':
'f:conditions':
'k:{"type":"ContainersReady"}':
.: {}
'f:lastProbeTime': {}
'f:lastTransitionTime': {}
'f:message': {}
'f:reason': {}
'f:status': {}
'f:type': {}
'k:{"type":"Initialized"}':
.: {}
'f:lastProbeTime': {}
'f:lastTransitionTime': {}
'f:status': {}
'f:type': {}
'k:{"type":"Ready"}':
.: {}
'f:lastProbeTime': {}
'f:lastTransitionTime': {}
'f:message': {}
'f:reason': {}
'f:status': {}
'f:type': {}
'f:containerStatuses': {}
'f:hostIP': {}
'f:initContainerStatuses': {}
'f:phase': {}
'f:podIP': {}
'f:podIPs':
.: {}
'k:{"ip":"10.42.0.101"}':
.: {}
'f:ip': {}
'f:startTime': {}
- manager: argoexec
operation: Update
apiVersion: v1
time: '2021-12-31T10:12:25Z'
fieldsType: FieldsV1
fieldsV1:
'f:metadata':
'f:annotations':
'f:workflows.argoproj.io/outputs': {}
status:
phase: Failed
conditions:
- type: Initialized
status: 'True'
lastProbeTime: null
lastTransitionTime: '2021-12-31T10:12:23Z'
- type: Ready
status: 'False'
lastProbeTime: null
lastTransitionTime: '2021-12-31T10:12:21Z'
reason: ContainersNotReady
message: 'containers with unready status: [wait main]'
- type: ContainersReady
status: 'False'
lastProbeTime: null
lastTransitionTime: '2021-12-31T10:12:21Z'
reason: ContainersNotReady
message: 'containers with unready status: [wait main]'
- type: PodScheduled
status: 'True'
lastProbeTime: null
lastTransitionTime: '2021-12-31T10:12:21Z'
hostIP: 10.19.64.214
podIP: 10.42.0.101
podIPs:
- ip: 10.42.0.101
startTime: '2021-12-31T10:12:21Z'
initContainerStatuses:
- name: kfp-launcher
state:
terminated:
exitCode: 0
reason: Completed
startedAt: '2021-12-31T10:12:22Z'
finishedAt: '2021-12-31T10:12:22Z'
containerID: >-
docker://fbf8b39a3bab8065b54e9a3b25a678e07e0880ef61f9e78abe92f9fa205a73c4
lastState: {}
ready: true
restartCount: 0
image: 'library/gcr.io/ml-pipeline/kfp-launcher:1.8.7'
imageID: >-
docker-pullable://library/gcr.io/ml-pipeline/kfp-launcher#sha256:8b3f14d468a41c319e95ef4047b7823c64480fd1980c3d5b369c8412afbc684f
containerID: >-
docker://fbf8b39a3bab8065b54e9a3b25a678e07e0880ef61f9e78abe92f9fa205a73c4
containerStatuses:
- name: main
state:
terminated:
exitCode: 1
reason: Error
startedAt: '2021-12-31T10:12:23Z'
finishedAt: '2021-12-31T10:12:23Z'
containerID: >-
docker://26faae59907e5a4207960ee9d15d9d350587c5be7db31c3e8f0ec97e72c6d2cf
lastState: {}
ready: false
restartCount: 0
image: 'python:3.7'
imageID: >-
docker-pullable://python#sha256:3908249ce6b2d28284e3610b07bf406c3035bc2e3ce328711a2b42e1c5a75fc1
containerID: >-
docker://26faae59907e5a4207960ee9d15d9d350587c5be7db31c3e8f0ec97e72c6d2cf
started: false
- name: wait
state:
terminated:
exitCode: 1
reason: Error
message: >-
path /tmp/outputs/Output/data does not exist in archive
/tmp/argo/outputs/artifacts/add-Output.tgz
startedAt: '2021-12-31T10:12:23Z'
finishedAt: '2021-12-31T10:12:25Z'
containerID: >-
docker://66b6306eb81ac2abb1fbf2609d7375a00f92891f1c827680a45962cbb1ec3c0a
lastState: {}
ready: false
restartCount: 0
image: 'library/gcr.io/ml-pipeline/argoexec:v3.1.6-patch-license-compliance'
imageID: >-
docker-pullable://library/gcr.io/ml-pipeline/argoexec#sha256:44cf8455a51aa5b961d1a86f65e39adf5ffca9bdcd33a745c3b79f430b7439e0
containerID: >-
docker://66b6306eb81ac2abb1fbf2609d7375a00f92891f1c827680a45962cbb1ec3c0a
started: false
qosClass: Burstable
spec:
volumes:
- name: podmetadata
downwardAPI:
items:
- path: annotations
fieldRef:
apiVersion: v1
fieldPath: metadata.annotations
defaultMode: 420
- name: docker-sock
hostPath:
path: /var/run/docker.sock
type: Socket
- name: kfp-launcher
emptyDir: {}
- name: mlpipeline-minio-artifact
secret:
secretName: mlpipeline-minio-artifact
items:
- key: accesskey
path: accesskey
- key: secretkey
path: secretkey
defaultMode: 420
- name: default-editor-token-8lmfr
secret:
secretName: default-editor-token-8lmfr
defaultMode: 420
initContainers:
- name: kfp-launcher
image: 'library/gcr.io/ml-pipeline/kfp-launcher:1.8.7'
command:
- launcher
- '--copy'
- /kfp-launcher/launch
env:
- name: ARGO_CONTAINER_NAME
value: kfp-launcher
- name: ARGO_INCLUDE_SCRIPT_OUTPUT
value: 'false'
resources: {}
volumeMounts:
- name: kfp-launcher
mountPath: /kfp-launcher
- name: default-editor-token-8lmfr
readOnly: true
mountPath: /var/run/secrets/kubernetes.io/serviceaccount
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
imagePullPolicy: IfNotPresent
containers:
- name: wait
image: 'library/gcr.io/ml-pipeline/argoexec:v3.1.6-patch-license-compliance'
command:
- argoexec
- wait
- '--loglevel'
- info
env:
- name: ARGO_POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: ARGO_CONTAINER_RUNTIME_EXECUTOR
value: docker
- name: GODEBUG
value: x509ignoreCN=0
- name: ARGO_CONTAINER_NAME
value: wait
- name: ARGO_INCLUDE_SCRIPT_OUTPUT
value: 'false'
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 10m
memory: 32Mi
volumeMounts:
- name: podmetadata
mountPath: /argo/podmetadata
- name: docker-sock
readOnly: true
mountPath: /var/run/docker.sock
- name: mlpipeline-minio-artifact
readOnly: true
mountPath: /argo/secret/mlpipeline-minio-artifact
- name: kfp-launcher
mountPath: /mainctrfs/kfp-launcher
- name: default-editor-token-8lmfr
readOnly: true
mountPath: /var/run/secrets/kubernetes.io/serviceaccount
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
imagePullPolicy: IfNotPresent
- name: main
image: 'library/python:3.7'
command:
- /kfp-launcher/launch
- '--mlmd_server_address'
- $(METADATA_GRPC_SERVICE_HOST)
- '--mlmd_server_port'
- $(METADATA_GRPC_SERVICE_PORT)
- '--runtime_info_json'
- $(KFP_V2_RUNTIME_INFO)
- '--container_image'
- $(KFP_V2_IMAGE)
- '--task_name'
- add
- '--pipeline_name'
- pipeline/v2add
- '--run_id'
- $(KFP_RUN_ID)
- '--run_resource'
- workflows.argoproj.io/$(WORKFLOW_ID)
- '--namespace'
- $(KFP_NAMESPACE)
- '--pod_name'
- $(KFP_POD_NAME)
- '--pod_uid'
- $(KFP_POD_UID)
- '--pipeline_root'
- ''
- '--enable_caching'
- $(ENABLE_CACHING)
- '--'
- a=1
- b=7
- '--'
args:
- sh
- '-c'
- >
if ! [ -x "$(command -v pip)" ]; then
python3 -m ensurepip || python3 -m ensurepip --user || apt-get install python3-pip
fi
PIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet
--no-warn-script-location 'kfp==1.8.10' && "$0" "$#"
- sh
- '-ec'
- >
program_path=$(mktemp -d)
printf "%s" "$0" > "$program_path/ephemeral_component.py"
python3 -m kfp.v2.components.executor_main
--component_module_path
"$program_path/ephemeral_component.py" "$#"
- |+
import kfp
from kfp.v2 import dsl
from kfp.v2.dsl import *
from typing import *
def add(a: float, b: float) -> float:
'''Calculates sum of two arguments'''
return a + b
- '--executor_input'
- '{{$}}'
- '--function_to_execute'
- add
envFrom:
- configMapRef:
name: metadata-grpc-configmap
optional: true
env:
- name: KFP_POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: KFP_POD_UID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.uid
- name: KFP_NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
- name: WORKFLOW_ID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: 'metadata.labels[''workflows.argoproj.io/workflow'']'
- name: KFP_RUN_ID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: 'metadata.labels[''pipeline/runid'']'
- name: ENABLE_CACHING
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: 'metadata.labels[''pipelines.kubeflow.org/enable_caching'']'
- name: KFP_V2_IMAGE
value: 'library/python:3.7'
- name: KFP_V2_RUNTIME_INFO
value: >-
{"inputParameters": {"a": {"type": "DOUBLE"}, "b": {"type":
"DOUBLE"}}, "inputArtifacts": {}, "outputParameters": {"Output":
{"type": "DOUBLE", "path": "/tmp/outputs/Output/data"}},
"outputArtifacts": {}}
- name: ARGO_CONTAINER_NAME
value: main
- name: ARGO_INCLUDE_SCRIPT_OUTPUT
value: 'false'
resources: {}
volumeMounts:
- name: kfp-launcher
mountPath: /kfp-launcher
- name: default-editor-token-8lmfr
readOnly: true
mountPath: /var/run/secrets/kubernetes.io/serviceaccount
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
imagePullPolicy: IfNotPresent
restartPolicy: Never
terminationGracePeriodSeconds: 30
dnsPolicy: ClusterFirst
serviceAccountName: default-editor
serviceAccount: default-editor
nodeName: iz1bb01rvtheuakv3h25ntz
securityContext: {}
schedulerName: default-scheduler
tolerations:
- key: node.kubernetes.io/not-ready
operator: Exists
effect: NoExecute
tolerationSeconds: 300
- key: node.kubernetes.io/unreachable
operator: Exists
effect: NoExecute
tolerationSeconds: 300
priority: 0
enableServiceLinks: true
preemptionPolicy: PreemptLowerPriority
I don't know why it can't find the PipelineName?