Kubernetes pro velká data a strojové učení - proč AzureML nebo Apache Spark používá projekt Volcano?
Pokud ze světa infrastruktury a kontejnerů jako já nakouknete přes řeku k borcům od zpracování dat a strojového učení nejde se nevšimnout, že si tam hrají s virtuálkama, nad které si dávají Spark, Hadoop a podobné nástroje, které jim mají umožňit nahazovat jednotlivé úkoly nad takto spravovanou infrastrukturou. Mezitím svět aplikací vyhlásil vítěze kontejnerových válek a Kubernetes už je dnes tak normální, že je z něj nuda, která na anarchstický večírek už rozhodně nepatří. Jsou dataři zabetonovaní ve svém nebo tenhle Kubernetes zásadně ovlivňuje i jejich oblast? Evidentně ano, protože například projekty Apache Spark nebo AzureML dnes umí efektivně využívat Kubernetes jako podklad pro to, co dělají. Jen je museli trochu vylepšit. Jak to dělají a proč? Vyzkoušejme.
Nehrab se v tom, jdi do managed
Kubernetes začíná být něco jako myčka nádobí. Někomu nadšeně říkat, že už jí taky máte asi neohromí. Jasně - jsou situace, kdy jsou lidé bez ní, třeba na horské chatě, z nějakého přesvědčení, z neochoty udělat změnu, v chudých poměrech nebo extrémních podmínkách. Nicméně začíná platit, že to má prakticky každý a vymýšlet svoje vlastní postupy na mytí nádobí asi nemá smysl a vlastně už ani snažit se postavit standardní myčku z komponent vlastními silami. Prostě sáhnete třeba do Azure a bum, je tam a jmenuje se Azure Kubernetes Service. Nicméně cílem je se najíst a k tomu je potřeba čisté nádobí, ne ladit jak mám mít myčku velkou, jaký program podle typu znečištění zvolit, jaké přípravky používat. Ještě lepší je se tedy soustředit na “core byznys” (tedy se najíst) a mytí mít celé jako službu, tedy použít Azure Container Apps. Pod kapotou je myčka (AKS) a pár dalších komponent (networking, škálovadlo, aplikační platforma, monitoring), ale to mi je celkem jedno - já se soustředím na to důležité, jídlo.
Stejným způsobem bych nahlížel na platformu pro trénování a využívání modelů strojového učení nebo pro přípravu, analýzu a úpravu dat. AzureML stejně jako Synapse mi připraví managed prostředky a já se soustředím na jídlo. Nicméně mohou být situace, kdy by nějaká znalost podkladové technologie a Kubernetes mohl být užitečný a to je v případě, že musím z nějakého důvodu mít hybridní řešení přes víc cloudů nebo přes cloud a on-prem nebo něco mít na edge apod. V takový moment dává smysl dát do všech těchto míst nějakou standardní myčku (Kubernetes) a nechat můj řídící systém, tedy v mém případě Azure ML, využívat myčky v jakémkoli prostředí jakéhokoli výrobce.
Volcano jako nadstavba nad Kubernetes - proč ji potřebujeme
Kubernetes je v základu skvěle připravený na provozování mikroslužeb i stavových workloadů díky vlastnostem jako jsou Deployment, Statefulset, Horizontal Pod Autoscaler, ale jeho nabídka pro “run to completion” typy úloh je poměrně omezená. Ano, má koncept Job, ale to je víceméně všechno - není moc dobře vyladěn na dávkové spracování typické pro spouštění úloh patřící různým datovým procesům ať už je to zpracování dat nebo trénování. Je to znát zejména pokud má cluster sloužit pro víc jak jeden tým a model, což je ale obvykle žádoucí pro schopnost lépe využít zdroje. V památných kontejnerových válkách byla jedna ze stran reprezentována Apache Mesos (posléze DC/OS od Mesosphere), což byl dvou-úrovňový scheduler optimalizovaný na souběžný běh mikroslužeb i Big Data úloh (tenkrát hlavně Hadoop). Byl inspirovaný klasickým Google Borg schedulerem a v roce 2010 ho proslavilo použití v Twitteru, nicméně od roku 2015 je značně na ústupu. Vyhrála cesta jednodušší, přístupnější pro vývojáře a taková, která se poučila z mnoha chyb předchůdců a udělala například networking konečně správně - Kubernetes.
Co přidává projekt Volcano nad běžný Kubernetes? Tak například plánování Jobů v Kubernetu je “férové” napříč vlastně vším, ale to je problém. Tak například potřebujete přiřadit Jobu nějaké SLA postavené na maximální době čekání ve frontě. Představte si, že máte Joby, které mají pro vás stejnou prioritu, ale jedny jsou malé (co do nároků na zdroje) a druhé velké. Jdete na to férově, tak kouknete na první balík a fajn, pouštíte. Pak zkusíme třeba nějaký velký ale ouha, nevejde se nám do clusteru. Nevadí, pojďme na jiný a hele, tenhle malý by se vešel. Ve finále tak větší Job má daleko menší šanci se dostat ke slovu. Potřebujeme spíše, aby pokud už tam čeká moc dlouho dostal vyšší prioritu. Ale jen za takových okolností, protože nechceme dát obecně větší prioritu většímu Jobu, to zas nikdy nespustíme ty malé. A teď si představme, že Joby se nejlépe dělají paraleleně, což je typické pro mnoho úloh v datové oblasti. Čím víc instancí, tím líp. Příliš málo je ale problém. Potřebujeme tedy říct, že Job má mít minimum 5 replik, ale pokud bude místo, tak klidně 10. HPA pro dlouho běžící workloady něco podobného dělá, ale tady mluvíme o Jobech a navíc potřebujeme i schopnost preemption těch, co jsou “navíc”, tedy musíme situaci přebalancovat. Celé to vede na to, že pro plánovač potřebujeme spouštět na základě kombinace fair-share, ale i podle namespace, vytvořit koncept front a nasazování v rámci fronty a taky vyřešit cross-queue scheduling. A do toho obvykle ještě vletí potřeba hierarchického frontování.
Při nasazování je v datové oblasti často důležitá topologie. Musíme vzít v úvahu například NUMA, tedy aby core přidelený Podu využíval paměť, která je přímo napojená na tento socket (dvou-socketové systémy mají dva procesory a dvě paměťové banky, ale jeden virtuální paměťový prostor - jenže pokud proces v socket 1 přistupuje k paměťové bance u socket 2, tak to jde přes inter-procesorovou sběrnici a je to pomalejší). Často je u úlohy nějaká hlava a k tomu workery a výkonnostně dává smysl, aby oboje bylo na stejném node, takže scheduler by měl efektivně využít přidělené nody, ale k nějakému počtu workerů na node vždy přihodit i hlavu.
Volcano přímo podporuje některé datové frameworky, tak například je optimalizované pro Spark, kdy chápe co se po něm chce (v kombinaci se Spark Operator) a nedovolí, aby například vznikl Spark driver Pod řešící Spark Job, který se ale skládá s vícero task rolí a pro executor Pod už nezbyde místo, takže to celé bylo zbytečné. Volcano si rezervuje prostor tak, aby Spark dobře běžel, tedy má znalosti Sparku jako takového. Podobně je přímo připraven na TensorFlow (strojové učení) nebo MPI (High Performance Computing).
Nedávno Apache Spark oznámil, že od verze 3.3 je Volcano jejich výchozí scheduler na Kubernetu. Azure Machine Learning zas před časem oznámilo, že na Kubernetes clusterech už umí nejen inferencing, ale i training, a to i na clusterech mimo Azure - díky napojení přes Azure Arc můžete Azure ML využívat tak, že jednotlivé úlohy běží na vašem vlastním clusteru kdekoli.
Nakoukněme co pod kapotou Azure ML s Kubernetes dělá
Nejdřív si vytvořím AzureML workspace, AKS cluster a zapnu audit logování, ať se můžeme podívat, jak do toho AzureML buší. Následně použijeme extension k přidání AzureML komponent do clusteru - v mém příkladu je to AKS, ale funguje to i s libovolným clusterem v on-prem nebo jiném cloudu (například OpenShift, Rancher, Tanzu, AKS on Azure Stack HCI, GKE, EKS) přes Azure Arc.
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# Create Resource Group
az group create -n azureml -l westeurope
# Create Azure ML Workspace
az ml workspace create -n azureml -g azureml -l westeurope
# Create Log Analytics Workspace
az monitor log-analytics workspace create -n tomaskubicaaml12 -g azureml
# Create AKS
az aks create -n azuremlaks -c 3 -x -g azureml
# Enable audit logging (so we can see what AzureML is doing exactly)
az monitor diagnostic-settings create -n logs \
--resource $(az aks show -n azuremlaks -g azureml --query id -o tsv) \
--workspace $(az monitor log-analytics workspace show -n tomaskubicaaml12 -g azureml --query id -o tsv) \
--logs '[
{
"category": "kube-audit-admin",
"enabled": true,
"retentionPolicy": {
"enabled": false,
"days": 0
}
}
]'
# Deploy AzureML extension
az k8s-extension create -n tomaskubicaaml \
--extension-type Microsoft.AzureML.Kubernetes \
--config enableTraining=True enableInference=True inferenceRouterServiceType=LoadBalancer allowInsecureConnections=True inferenceLoadBalancerHA=False \
--cluster-type managedClusters \
--cluster-name azuremlaks \
-g azureml \
--scope cluster
# Get AKS credentials
az aks get-credentials -n azuremlaks -g azureml
Podívejme co extension nasadila.
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# What resources got AzureML extension deployed?
kubectl get pods -n azureml
NAME READY STATUS RESTARTS AGE
aml-operator-6676d6c959-8kmcj 1/1 Running 0 2m23s
amlarc-identity-controller-95d7cb964-d2lbj 1/1 Running 0 2m23s
amlarc-identity-proxy-597b94d56-j4mqx 1/1 Running 0 2m22s
azureml-fe-v2-b8c86749f-4gfbw 3/3 Running 0 2m23s
azureml-ingress-nginx-controller-5996df8ddd-rtkzl 1/1 Running 0 2m22s
cluster-status-reporter-55f9f744dd-jc5fp 1/1 Running 0 2m22s
fluent-bit-dfhwl 1/1 Running 0 2m23s
fluent-bit-gnpz5 1/1 Running 0 2m23s
fluent-bit-vq72l 1/1 Running 0 2m23s
gateway-7b58dc99cd-c6c4s 1/1 Running 0 2m22s
healthcheck 0/1 Completed 0 3m15s
inference-operator-controller-manager-56d97d6445-8spg9 1/1 Running 1 (2m13s ago) 2m23s
metrics-controller-manager-794b997d78-872lm 1/1 Running 0 2m23s
prometheus-prom-prometheus-0 2/2 Running 0 2m10s
relayserver-6995b6594d-2f4km 1/1 Running 0 2m23s
relayserver-6995b6594d-t5zrj 1/1 Running 0 2m23s
tomaskubicaaml-kube-state-metrics-785d98c5d5-dfbqc 1/1 Running 0 2m23s
tomaskubicaaml-prometheus-operator-6c978c7968-prsvl 1/1 Running 0 2m22s
volcano-admission-74f559c556-5l9np 1/1 Running 0 2m23s
volcano-controllers-56894dd996-fl5qx 1/1 Running 0 2m23s
volcano-scheduler-774bd78f4-cgsm4 1/1 Running 0 2m23s
Vidím tam Volcano a monitoring nástroje a agenty (Prometheus, FluentBit). Dále je tam Azure ML operátor, který bude asi hlavní způsob přijímání požadavků z Azure ML a bude nahazovat Volcano zdroje, ale taky hotové modely přes Inference Operator. Další komponenta je síťařina - Ingress kontroler, primárně pro inferencing (vystavení modelů přes API). Zajímavá je gateway, což je evidentně API pro příjem zadání z Azure ML a Relay Server, což funguje v kombinaci s Azure Relay Service a tzv. Hybrid Connections. Díky tomu může AzureML komunikovat s clusterem aniž by se do něj muselo na firewallu otvírat nějaké inbound spojení.
Počítám, že máme pár nových Custom Resource Definition.
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# What Custom Resource Definitions are now in cluster?
kubectl get crds
NAME CREATED AT
alertmanagerconfigs.monitoring.coreos.com 2022-07-12T05:51:00Z
alertmanagers.monitoring.coreos.com 2022-07-12T05:51:00Z
amljobs.amlarc.azureml.com 2022-07-12T05:52:54Z
commands.bus.volcano.sh 2022-07-12T05:52:54Z
extensionconfigs.clusterconfig.azure.com 2022-07-12T05:49:29Z
identities.amlarc.azureml.com 2022-07-12T05:52:54Z
instancetypes.amlarc.azureml.com 2022-07-12T05:52:54Z
jobs.batch.volcano.sh 2022-07-12T05:52:54Z
metrics.amlarc.azureml.com 2022-07-12T05:52:54Z
numatopologies.nodeinfo.volcano.sh 2022-07-12T05:52:54Z
onlinedeployments.amlarc.azureml.com 2022-07-12T05:52:54Z
onlineendpoints.amlarc.azureml.com 2022-07-12T05:52:54Z
podgroups.scheduling.volcano.sh 2022-07-12T05:52:54Z
podmonitors.monitoring.coreos.com 2022-07-12T05:51:00Z
probes.monitoring.coreos.com 2022-07-12T05:51:00Z
prometheuses.monitoring.coreos.com 2022-07-12T05:51:01Z
prometheusrules.monitoring.coreos.com 2022-07-12T05:51:00Z
queues.scheduling.volcano.sh 2022-07-12T05:52:54Z
servicemonitors.monitoring.coreos.com 2022-07-12T05:51:00Z
thanosrulers.monitoring.coreos.com 2022-07-12T05:51:00Z
volumesnapshotclasses.snapshot.storage.k8s.io 2022-07-12T05:37:46Z
volumesnapshotcontents.snapshot.storage.k8s.io 2022-07-12T05:37:46Z
volumesnapshots.snapshot.storage.k8s.io 2022-07-12T05:37:46Z
AML Job, Volcano Job, Pod Groups, Queues … vypadá to dobře.
Skvělé - připojím cluster.
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# Create namespace for azureml workloads
kubectl create ns azureml-workloads
# Attach this cluster to Azure ML workspace
az ml compute attach -n k8s-compute \
-g azureml \
--workspace-name azureml \
--type Kubernetes \
--resource-id $(az aks show -n azuremlaks -g azureml --query id -o tsv) \
--identity-type SystemAssigned \
--namespace azureml-workloads
V Azure ML teď půjdu do pipeline a vyberu si nějaký zabudovaný příklad.
Compute namířím na připojený cluster.
A pipeline spustím.
Co se dělo? Udělal jsem si v Log Analytics query, kterým se podívám na pár zajímavých Create událostí v Kubernetu.
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# Query audit logs
az monitor log-analytics query -w $(az monitor log-analytics workspace show -n tomaskubicaaml12 -g azureml --query customerId -o tsv) \
-o table --analytics-query 'AzureDiagnostics
| where Category == "kube-audit-admin"
| where log_s has "\"verb\":\"create\""
| project TimeGenerated, parse_json(log_s)
| project TimeGenerated, verb = log_s.verb, resource = log_s.objectRef.resource, name = log_s.objectRef.name
| where resource !in ("subjectaccessreviews","storageclasses", "tokenreviews", "selfsubjectaccessreviews")
| sort by TimeGenerated' > audit-logs.txt
TableName TimeGenerated Name Resource Verb
------------- -------------------- ----------------------------------------------------------------------- ------------------------------- ------
PrimaryResult 2022-07-12T06:37:52Z generic-garbage-collector serviceaccounts create
PrimaryResult 2022-07-12T06:37:52Z resourcequota-controller serviceaccounts create
PrimaryResult 2022-07-12T06:35:40Z amljobcontroller serviceaccounts create
PrimaryResult 2022-07-12T06:35:40Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0 pods create
PrimaryResult 2022-07-12T06:35:39Z amljobcontroller serviceaccounts create
PrimaryResult 2022-07-12T06:35:38Z None endpointslices create
PrimaryResult 2022-07-12T06:35:38Z amlarcjob-8b2821ccdc9c9fb818502c0e69b96572 metrics create
PrimaryResult 2022-07-12T06:35:38Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572 jobs create
PrimaryResult 2022-07-12T06:35:38Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572 networkpolicies create
PrimaryResult 2022-07-12T06:35:38Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572 services create
PrimaryResult 2022-07-12T06:35:38Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh secrets create
PrimaryResult 2022-07-12T06:35:38Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572 endpoints create
PrimaryResult 2022-07-12T06:35:38Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc configmaps create
PrimaryResult 2022-07-12T06:35:38Z azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572 podgroups create
PrimaryResult 2022-07-12T06:35:37Z prometheus-prom-prometheus-0 pods create
PrimaryResult 2022-07-12T06:35:37Z prom-prometheus serviceaccounts create
PrimaryResult 2022-07-12T06:35:37Z prometheus-prom-prometheus-0.1701017457cc70da events create
PrimaryResult 2022-07-12T06:35:37Z azureml-workloads-72888029582f8ccfc5724be3e41a13da-worker-0 pods create
PrimaryResult 2022-07-12T06:35:37Z prometheus-prom-prometheus-0 pods create
PrimaryResult 2022-07-12T06:35:36Z 8b2821ccdc9c9fb818502c0e69b96572-imagepull-0-secrets secrets create
PrimaryResult 2022-07-12T06:35:36Z 8b2821ccdc9c9fb818502c0e69b96572-lifecycle configmaps create
PrimaryResult 2022-07-12T06:35:36Z 8b2821ccdc9c9fb818502c0e69b96572-ssh-keys secrets create
PrimaryResult 2022-07-12T06:35:36Z 8b2821ccdc9c9fb818502c0e69b96572 configmaps create
PrimaryResult 2022-07-12T06:35:36Z 8b2821ccdc9c9fb818502c0e69b96572-runtoken-secrets secrets create
PrimaryResult 2022-07-12T06:35:36Z 1cfc74aae33346e9b77672f82ab26790-viennaglobal.azurecr.io secrets create
PrimaryResult 2022-07-12T06:35:35Z azureml-workloads-72888029582f8ccfc5724be3e41a13da jobs create
PrimaryResult 2022-07-12T06:35:35Z None endpointslices create
PrimaryResult 2022-07-12T06:35:35Z azureml-workloads-72888029582f8ccfc5724be3e41a13da endpoints create
PrimaryResult 2022-07-12T06:35:35Z azureml-workloads-72888029582f8ccfc5724be3e41a13da-ssh secrets create
PrimaryResult 2022-07-12T06:35:35Z prometheus-prom-prometheus-5df95b4d54 controllerrevisions create
PrimaryResult 2022-07-12T06:35:35Z azureml-workloads-72888029582f8ccfc5724be3e41a13da networkpolicies create
PrimaryResult 2022-07-12T06:35:35Z metrics-token secrets create
PrimaryResult 2022-07-12T06:35:35Z azureml-workloads-72888029582f8ccfc5724be3e41a13da-svc configmaps create
PrimaryResult 2022-07-12T06:35:35Z amlarcjob-72888029582f8ccfc5724be3e41a13da metrics create
PrimaryResult 2022-07-12T06:35:35Z azureml-workloads-72888029582f8ccfc5724be3e41a13da podgroups create
PrimaryResult 2022-07-12T06:35:35Z azureml-workloads-72888029582f8ccfc5724be3e41a13da services create
PrimaryResult 2022-07-12T06:35:33Z 72888029582f8ccfc5724be3e41a13da-runtoken-secrets secrets create
PrimaryResult 2022-07-12T06:35:33Z 72888029582f8ccfc5724be3e41a13da-imagepull-0-secrets secrets create
PrimaryResult 2022-07-12T06:35:33Z 72f05b4a9d3446e49a93eb6b8e6254c2-viennaglobal.azurecr.io secrets create
PrimaryResult 2022-07-12T06:35:33Z 72888029582f8ccfc5724be3e41a13da-ssh-keys secrets create
PrimaryResult 2022-07-12T06:35:33Z 72888029582f8ccfc5724be3e41a13da configmaps create
PrimaryResult 2022-07-12T06:35:33Z 72888029582f8ccfc5724be3e41a13da-lifecycle configmaps create
PrimaryResult 2022-07-12T06:35:16Z default serviceaccounts create
PrimaryResult 2022-07-12T06:35:16Z crbs-stable-356aea83-deployment-6bb9657b9f-gn847.1701016f8cd53f8d events create
PrimaryResult 2022-07-12T06:35:16Z crbs-stable-356aea83-deployment-6bb9657b9f-gn847 pods create
PrimaryResult 2022-07-12T06:35:16Z amljobcontroller-token-hvhwv secrets create
PrimaryResult 2022-07-12T06:35:16Z 72888029582f8ccfc5724be3e41a13da amljobs create
PrimaryResult 2022-07-12T06:35:16Z amljobcontroller serviceaccounts create
Zajímavé. Vytváří se objekty tříd amljob, následně to AML operátor nahazuje do Volcano a přidává podgroups a následně z nich nahazuje Pody pro jednotlivé kroky mojí pipeline.
Koukám na definici amljob.
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apiVersion: amlarc.azureml.com/v1alpha1
kind: AmlJob
metadata:
creationTimestamp: "2022-07-12T06:35:16Z"
generation: 1
name: 72888029582f8ccfc5724be3e41a13da
namespace: azureml-workloads
resourceVersion: "25364"
uid: b41d8fe4-2d5d-45f4-9fb0-d0b5d10461ce
spec:
job:
jobId: 72888029582f8ccfc5724be3e41a13da
name: 72888029582f8ccfc5724be3e41a13da
options:
commonRuntimeJobSpec:
...
Je tam toho strašně moc - commonRuntimeJobSpec je base64, tak ho rozkóduju:
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{
"version": "2",
"spec": {
"name": "927f61e0-8999-4082-a685-d0c0a02b466e",
"execution": {
"container": {
"image": {
"fully_qualified_name": "mcr.microsoft.com/azureml/curated/designer:42",
"registry_url": "mcr.microsoft.com"
},
"shm_size": "2g",
"cap_add": [],
"ulimit": [],
"device": [],
"env": [],
"volume": []
},
"environment_variables": {
"EXAMPLE_ENV_VAR": "EXAMPLE_VALUE",
"AZUREML_PARAMETER_Node_Count": "1",
"AZUREML_PARAMETER_Solution_method": "Ordinary Least Squares",
"AZUREML_PARAMETER_Create_trainer_mode": "SingleParameter",
"AZUREML_PARAMETER_Learning_rate": "0.1",
"AZUREML_PARAMETER_Number_of_epochs_over_which_algorithm_iterates_through_examples": "10",
"AZUREML_PARAMETER_L2_regularization_term_weight": "0.001",
"AZUREML_PARAMETER_Range_for_learning_rate": "0.025; 0.05; 0.1; 0.2",
"AZUREML_PARAMETER_Range_for_number_of_epochs_over_which_algorithm_iterates_through_examples": "1; 10; 100",
"AZUREML_PARAMETER_Range_for_L2_regularization_term_weight": "0.001; 0.01; 0.1",
"AZUREML_PARAMETER_Should_input_instances_be_normalized": "True",
"AZUREML_PARAMETER_Decrease_learning_rate_as_iterations_progress": "True",
"AZUREML_PARAMETER_L2_regularization_weight": "0.001",
"AZUREML_PARAMETER_Include_intercept_term": "True",
"AZUREML_PARAMETER_Random_number_seed": "",
"MLFLOW_EXPERIMENT_ID": "e4360b71-5ba4-4789-8e0c-ab040462cc06",
"MLFLOW_EXPERIMENT_NAME": "tomasexperiment",
"MLFLOW_RUN_ID": "927f61e0-8999-4082-a685-d0c0a02b466e",
"MLFLOW_TRACKING_URI": "azureml://westeurope.api.azureml.ms/mlflow/v1.0/subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml",
"MLFLOW_TRACKING_TOKEN": "eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw",
"DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED": "true",
"DATASET_RSLEX_UPLOAD": "true",
"AZUREML_DATASET_FILE_OUTPUTS": "Untrained_model"
},
"phases": [
{
"coordinated_start": false,
"nodes": [
0
],
"commands": {
"command": {
"executable": {
"type": "Spawn",
"success_return_code": {
"zero": {}
},
"program": "/azureml-envs/azureml_64165a26e38451d868d732a63dec2783/bin/python",
"args": [
"-u",
"-c",
"\nimport json\nimport os\nimport os.path\nimport runpy\nimport sys\nimport traceback\n\nclass NoopContextManager:\n def __enter__(self):\n pass\n\n def __exit__(self, *args, **kwargs):\n pass\n\nclass ErrorHandlerContextManager:\n def __init__(self, inner_cm):\n self.inner_cm = inner_cm\n\n def __enter__(self):\n return ErrorHandlerContextManager.do_op_and_write_error(lambda: self.inner_cm.__enter__(), 'UserExecution.context_manager.enter')\n\n def __exit__(self, exc_type, exc_value, traceback):\n if exc_value:\n write_error('UserExecution.script', 'UserError', exc_value, 'NonCompliant')\n return ErrorHandlerContextManager.do_op_and_write_error(lambda: self.inner_cm.__exit__(exc_type, exc_value, traceback), 'UserExecution.context_manager.exit')\n\n @staticmethod\n def do_op_and_write_error(op, error_code):\n try:\n return op()\n except Exception as e:\n write_error(error_code, 'SystemError', e, 'Compliant')\n raise\n\ndef write_error(code, category, error, compliant):\n try:\n error_path = os.environ.get('_AZUREML_CR_ERROR_JSON_FILE')\n dir = os.path.dirname(error_path)\n os.makedirs(dir, exist_ok=True)\n with open(error_path, 'x') as f:\n f.write(json.dumps(to_cr_error(code, category, error, compliant)))\n except:\n pass\n\ndef to_cr_error(code, category, error, compliant):\n known_errors = [\n 'BaseException', 'SystemExit', 'KeyboardInterrupt', 'GeneratorExit', 'Exception', 'StopIteration', 'StopAsyncIteration',\n 'ArithmeticError', 'FloatingPointError', 'OverflowError', 'ZeroDivisionError', 'AssertionError', 'AttributeError',\n 'BufferError', 'EOFError', 'ImportError', 'ModuleNotFoundError', 'LookupError', 'IndexError', 'KeyError', 'MemoryError',\n 'NameError', 'UnboundLocalError', 'OSError', 'BlockingIOError', 'ChildProcessError', 'ConnectionError', 'BrokenPipeError',\n 'ConnectionAbortedError', 'ConnectionRefusedError', 'ConnectionResetError', 'FileExistsError', 'FileNotFoundError',\n 'InterruptedError', 'IsADirectoryError', 'NotADirectoryError', 'PermissionError', 'ProcessLookupError', 'TimeoutError',\n 'ReferenceError', 'RuntimeError', 'NotImplementedError', 'RecursionError', 'SyntaxError', 'IndentationError', 'TabError',\n 'SystemError', 'TypeError', 'ValueError', 'UnicodeError', 'UnicodeDecodeError', 'UnicodeEncodeError', 'UnicodeTranslateError',\n 'Warning', 'DeprecationWarning', 'PendingDeprecationWarning', 'RuntimeWarning', 'SyntaxWarning', 'UserWarning',\n 'FutureWarning', 'ImportWarning', 'UnicodeWarning', 'BytesWarning', 'EncodingWarning', 'ResourceWarning', 'IOError',\n 'EnvironmentError'\n ]\n exc_type, exc_val, exc_traceback = sys.exc_info()\n stack_trace = ''.join(strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback))\n exception_type = type(error).__name__\n known_error = exception_type in known_errors\n exception_type_compliance = 'Compliant' if known_error else compliant\n\n cr_error = {\n 'code': code,\n 'category': category,\n 'message': { compliant: str(error) },\n 'details': [\n {\n 'name': 'StackTrace',\n 'value': { compliant: stack_trace }\n },\n {\n 'name': 'ExceptionType',\n 'value': { exception_type_compliance: exception_type }\n },\n ]\n }\n\n try:\n from azureml.exceptions import AzureMLException, UserErrorException\n if isinstance(error, UserErrorException):\n cr_error['category'] = 'UserError'\n if isinstance(error, AzureMLException):\n cr_error['details'][1]['value'] = { 'Compliant': exception_type }\n except:\n pass\n\n return cr_error\n\n# Copied from context manager injector\ndef strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback):\n \"\"\"\n The actual traceback that gets printed when the exception is in the user code is:\n\n Traceback(most recent call last) :\n File 'azureml-setup/context_manager_injector.py', line 161, in <module>\n execute_with_context(cm_objects, options.invocation)\n File 'azureml-setup/context_manager_injector.py', line 91, in execute_with_context\n runpy.run_path(sys.argv[0], globals(), run_name= '__main__')\n File '<USERPROFILE>\\AppData\\Local\\Continuum\\Miniconda3\\envs\\cli_dev\\lib\\runpy.py', line 263, in run_path\n pkg_name = pkg_name, script_name = fname)\n File '<USERPROFILE>\\AppData\\Local\\Continuum\\Miniconda3\\envs\\cli_dev\\lib\\runpy.py', line 96, in _run_module_code\n mod_name, mod_spec, pkg_name, script_name)\n File '<USERPROFILE>\\AppData\\Local\\Continuum\\Miniconda3\\envs\\cli_dev\\lib\\runpy.py', line 85, in _run_code\n exec(code, run_globals)\n File 'bad_import.py', line 5, in <module>\n import thisdoesnotexist\n ModuleNotFoundError: No module named 'thisdoesnotexist'\n\n however we strip the first 5 layers to give the user a traceback that only contains the user code as part of it\n \"\"\"\n traceback_as_list = traceback.format_exception(exc_type, exc_val, exc_traceback)\n reversed_traceback_list = reversed(traceback_as_list)\n reversed_trimmed_stack = []\n # currently the innermost runpy stack occurs inside runpy.py in _run_code and inside the exec(code, run_globals) function\n # if that changes then the regular stack will be printed\n keywords_in_innermost_runpy_stack_frame = ['runpy.py', '_run_code', 'exec(code, run_globals)']\n error_is_in_user_code = False\n for stack_frame in reversed_traceback_list:\n if all([keyword in stack_frame for keyword in keywords_in_innermost_runpy_stack_frame]):\n error_is_in_user_code = True\n break\n reversed_trimmed_stack.append(stack_frame)\n if error_is_in_user_code:\n # Find the first index of 'Traceback (most recent call last):' in reversed list and append the cause exceptions\n # This will handle users using 'from with raise' when raising exception\n reversed_traceback_as_list = traceback_as_list[::-1]\n traceback_indexes = [idx for idx,stack_frame in enumerate(reversed_traceback_as_list)\n if 'Traceback (most recent call last):' in stack_frame]\n if len(traceback_indexes) > 0:\n reversed_trimmed_stack.extend(reversed_traceback_as_list[traceback_indexes[0]:])\n\n return list(reversed(reversed_trimmed_stack))\n\ndef set_tags_for_mlflow_run():\n # Prepare MLflow integration if supported\n try:\n from azureml.core.run import Run\n from azureml.mlflow import _setup_remote\n run = Run.get_context() \n _setup_remote(run)\n except Exception:\n return\n\ndef main():\n # This used to be done in a context_managers.py and context_manager_injector.py where it will add current working\n # directory and the script's directory to sys.path respectively.\n # We want to make sure the script's directory is added to the start of sys.path so that it is searched\n # first and the current working directory is added to the end so that it is searched last.\n sys.path.insert(0, os.path.dirname(os.path.abspath(sys.argv[1])))\n sys.path.append(os.getcwd())\n\n try:\n # The Run import below is only needed to avoid circular dependency import issue\n # in the context manager's exit calls\n from azureml.core import Run\n from azureml._history.utils.context_managers import SendRunKillSignal\n\n # Only do this check if AzureML is used\n if sys.version_info.major != 3 or sys.version_info.minor < 5:\n raise RuntimeError(f'Python version {str(sys.version_info)} is not supported. Please use python>=3.5')\n\n # The SendRunKillSignal context manager is misleadingly named. It is actually used to flush metrics of\n # all the RunHistoryFacade instances. The way it does that is the RunHistoryFacade's constructor registers\n # a clean up handler that calls flush on the metrics client it has, the handler itself is registered to\n # a class variable of the RunHistoryFacade class. The SendRunKillSignal context manager's exit method\n # calls the RunHistoryFacade._kill class method which goes and calls the all of the registered exit handlers\n # which in turn flushes the metrics. The code below is copied from the run history context manager code.\n send_kill_signal = not os.environ.get('AZUREML_DISABLE_RUN_KILL_SIGNAL')\n kill_signal_timeout = float(os.environ.get('AZUREML_RUN_KILL_SIGNAL_TIMEOUT_SEC', '300'))\n context = SendRunKillSignal(send_kill_signal, kill_signal_timeout)\n except ImportError:\n context = NoopContextManager()\n except RuntimeError:\n raise\n except Exception as e:\n print(f'Warning: Failed to setup Azure Machine Learning system code due to `{e}`. Your job will proceed but if you notice any issues, please contact Azure Support with this exception message.', file=sys.stderr)\n context = NoopContextManager()\n \n set_tags_for_mlflow_run()\n\n context = ErrorHandlerContextManager(context)\n with context:\n # when we invoke with `python -c program args`, sys.argv[0] will be -c, args will be the rest (i.e. sys.argv[1:])\n expanded_argv = []\n for arg in sys.argv[1:]:\n arg = os.path.expandvars(arg)\n expanded_argv.append(arg)\n sys.argv = expanded_argv\n runpy.run_path(sys.argv[0], globals(), run_name='__main__')\n\nif __name__ == '__main__':\n try:\n main()\n except SystemExit as ex:\n # Copied from context manager injector\n exc_type, exc_val, exc_traceback = sys.exc_info()\n print(''.join(strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback)), file=sys.stderr)\n if ex.code is not None:\n sys.exit(ex.code)\n except Exception as ex:\n # Copied from context manager injector\n exc_type, exc_val, exc_traceback = sys.exc_info()\n print(''.join(strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback)), file=sys.stderr)\n sys.exit(1)\n",
"urldecode_invoker.py",
"python",
"-m",
"azureml.studio.modulehost.module_invoker",
"--module-name=azureml.studio.modules.ml.initialize_models.regressor.linear_regressor.linear_regressor",
"--untrained-model",
"$AZURE_ML_OUTPUT_Untrained_model",
"--solution-method=%22Ordinary+Least+Squares%22",
"--l2-regularization-weight=0.001",
"--include-intercept-term=True"
]
},
"stdout": "user_logs/std_log.txt"
}
}
}
]
},
"lifecycler": {
"name": "lifecycler",
"version": "stable",
"config": {
"enable_termination_signal_handling": true
}
},
"capabilities": [
{
"name": "data-capability",
"version": "stable",
"config": [
{
"to": "azuremldatastore://workspaceblobstore/azureml/927f61e0-8999-4082-a685-d0c0a02b466e/Untrained_model",
"name": "Untrained_model",
"mode": "mount",
"environment_names": [
"Untrained_model",
"AZURE_ML_OUTPUT_Untrained_model"
],
"options": {
"is_single_file": false,
"register_dataset": {
"properties": {
"azureml.pipelineRunId": "f4a6c5eb-1feb-49ff-9429-4ec15b15393c",
"azureml.pipelineRun.moduleNodeId": "4b199015",
"azureml.pipelineRun.outputPortName": "Untrained_model"
}
}
}
}
]
},
{
"name": "cs-capability",
"version": "stable",
"config": {
"context_managers": [],
"snapshot": "[{\"Id\":\"e5d61572-7dea-47b3-9538-221a88fcd381\",\"PathStack\":[\".\"],\"SnapshotEntityId\":null,\"SnapshotAssetId\":null}]"
}
},
{
"name": "hosttools-capability",
"version": "stable",
"config": {
"dirs": [
{
"relative_path": "user_logs",
"environment_name": "AZUREML_CR_HT_CAP_user_logs_PATH",
"streamable": true
},
{
"relative_path": "azureml-logs",
"environment_name": "AZUREML_CR_HT_CAP_azureml_logs_PATH",
"streamable": true
},
{
"relative_path": "outputs",
"environment_name": "AZUREML_CR_HT_CAP_outputs_PATH",
"streamable": false
},
{
"relative_path": "logs",
"environment_name": "AZUREML_CR_HT_CAP_logs_PATH",
"streamable": true
}
],
"metrics": {
"enabled": true,
"polling_interval_sec": 30,
"send_to_history_interval_sec": 60
},
"use_block_blob_in_blob_streamer": true,
"log_filtering_policy": null
}
}
],
"azureml_context": {
"subscription_id": "a0f4a733-4fce-4d49-b8a8-d30541fc1b45",
"resource_group": "azureml",
"workspace_name": "azureml",
"workspace_id": "10400c14-9477-41ad-a935-e963d851654b",
"service_endpoint": "https://westeurope.api.azureml.ms",
"discovery_endpoint": "https://westeurope.api.azureml.ms/discovery",
"experiment_name": "tomasexperiment",
"experiment_id": "e4360b71-5ba4-4789-8e0c-ab040462cc06",
"root_run_id": "f4a6c5eb-1feb-49ff-9429-4ec15b15393c",
"run_id": "927f61e0-8999-4082-a685-d0c0a02b466e",
"run_token": "eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw",
"run_history_service_endpoint": "https://westeurope.api.azureml.ms",
"data_container_id": "dcid.927f61e0-8999-4082-a685-d0c0a02b466e",
"run_uuid": "72f05b4a-9d34-46e4-9a93-eb6b8e6254c2"
},
"compute_context": {
"cluster_name": "k8s-compute",
"node_id": {
"Literal": ""
}
},
"observability_config": {
"collector": {
"exporter": {
"appinsights": {
"instrumentation_key": "fca5a4c9-adb4-44ae-bece-69e2cc91ff66"
}
}
},
"logger": {
"appinsights": {
"instrumentation_key": "fca5a4c9-adb4-44ae-bece-69e2cc91ff66",
"level": "info",
"enabled": true
},
"file": {
"extension": "log",
"level": "info",
"enabled": true
}
}
},
"bootstrapper_config": {
"version": "stable",
"config": {
"capabilities_registry": {
"registry": {
"url": "viennaglobal.azurecr.io",
"username": "vienna-global-reader",
"password": "5889T4YAGWD=L2G=bmvy3pfwGRVoGUN6"
},
"regional_tag_prefix": true
},
"resource_constraints": {
"cpu_shares": 6144,
"reserved_mem_mb": 650,
"sys_cpu_shares": 1024,
"sys_reserved_mem_mb": 500
},
"disk_thresholds": {
"disk_free_before_job_mb": 1500,
"disk_free_after_job_mb": 5000
},
"image_cache_config": {
"cache_size_mb": 2000,
"purge_after_job_completion": false
},
"enable_pre_job_cleanup": false
}
}
}
}
Zajímavé - tohle je předpřipravený job (a kontejner a tak podobně). Pokud si budu dělat svoje vlastní kroky, mohu je postavit na managed image nebo si klidně udělat svůj vlastní a v něm jednotlivé kroky a skripty spouštět. Velmi univerzální, velmi mocné, líbí se mi to.
Volcano Job je poměrně jednoduchý, protože to spouštím jen jako jednu instanci.
1
2
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apiVersion: scheduling.volcano.sh/v1beta1
kind: PodGroup
metadata:
annotations:
volcano.sh/task-topology-affinity: worker
creationTimestamp: "2022-07-12T06:35:35Z"
generation: 3
labels:
jobId: 72888029582f8ccfc5724be3e41a13da
name: azureml-workloads-72888029582f8ccfc5724be3e41a13da
namespace: azureml-workloads
ownerReferences:
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reason: tasks in gang are ready to be scheduled
status: "True"
transitionID: 76ebd086-ee6c-404a-a50e-6965afc88ab8
type: Scheduled
phase: Running
Dobré je, že i na bezpečnost se myslelo a kromě různých ověřovacích klíčů mi to nahodilo i síťovou izolaci.
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apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
creationTimestamp: "2022-07-12T06:35:38Z"
generation: 1
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572
namespace: azureml-workloads
ownerReferences:
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blockOwnerDeletion: true
controller: true
kind: Job
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572
uid: deddaa33-8044-438c-9095-46a604ae5b61
resourceVersion: "25661"
uid: 166af83e-5d7d-4d75-b88b-4b8eb373e82b
spec:
ingress:
- from:
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matchLabels:
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volcano.sh/job-namespace: azureml-workloads
podSelector:
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volcano.sh/job-namespace: azureml-workloads
policyTypes:
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Výsledný Pod je docela složitý, ale dává smysl.
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labels:
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jobScale: regular
jobsource: aml
mainContainers: 1cfc74aae33346e9b77672f82ab26790-lifecycler
ml.azure.com/billing-category: azureml-training
ml.azure.com/compute: k8s-compute
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containers:
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value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: EXIT_FILE
value: /pod-lifecycle/$(POD_UID).exit
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
key: VC_WORKER_HOSTS
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VC_WORKER_NUM
valueFrom:
configMapKeyRef:
key: VC_WORKER_NUM
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: mcr.microsoft.com/azureml/amlarc/docker/training-identity-sidecar:1.1.6
imagePullPolicy: Always
lifecycle:
postStart:
exec:
command:
- /bin/bash
- /training-identity-sidecar/ready.sh
livenessProbe:
exec:
command:
- /bin/bash
- -c
- /pod-lifecycle/lifecycle_script.sh training-identity-sidecar
failureThreshold: 3
initialDelaySeconds: 3
periodSeconds: 10
successThreshold: 1
timeoutSeconds: 1
name: training-identity-sidecar
resources: {}
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: FallbackToLogsOnError
volumeMounts:
- mountPath: /tmp/runtoken
name: runtoken
- mountPath: /pod-lifecycle
name: lifecycle-cm
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- mountPath: /root/.ssh
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
- env:
- name: AMLARC_NUM_GPU_PER_WORKER
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AML_JOB_ID
value: 8b2821ccdc9c9fb818502c0e69b96572
- name: POD_UID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.uid
- name: AMLARC_NUM_PS
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AMLARC_ROLE_INDEX_REGEX
value: '[a-zA-Z0-9\-]*-([a-zA-Z[]*)-([0-9[]*)'
- name: AZUREML_OBO_CANARY_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.LgInzjMVeUO-1vcr-hrK4KeYNvWlAI3rTwaTimQ9OmJcCYopbWYWg8_aVwUKvKa3goqoZJgs2UEUwgv19r_cyL-BR8v-4opIRJh68ZLUBJYPuVRK_qRQdM7OkJdU2PZugiBFYGSicG40xE1I80LjdnEcrJHRVQ0-UFNJvaWtu-HHpV_aKedQNClO4jZb9Dfoax63ZHw4C4e2f9GV7JTQ1v18SlXlyEHR8iSRg9p-cDnmiktBkctYs2VMIU_k57hNtq5fJS5zBetjlA9wYIHzOAER2CefogBWSXxBhGKTRlDX-ovIz3j9JE2H5BuNNhm2yEcucrB8oROVgGF2zcb-vQ
- name: AZUREML_OBO_ENABLED
value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: AZUREML_CR_LIFECYCLER_CONFIG
value: {"phases":[{"coordinated_start":false,"nodes":[0],"commands":{"command":{"executable":{"type":"Spawn","program":"/azureml-envs/azureml_64165a26e38451d868d732a63dec2783/bin/python","args":["-u","-c","\nimport json\nimport os\nimport os.path\nimport runpy\nimport sys\nimport traceback\n\nclass NoopContextManager:\n    def __enter__(self):\n        pass\n\n    def __exit__(self, *args, **kwargs):\n        pass\n\nclass ErrorHandlerContextManager:\n    def __init__(self, inner_cm):\n        self.inner_cm = inner_cm\n\n    def __enter__(self):\n        return ErrorHandlerContextManager.do_op_and_write_error(lambda: self.inner_cm.__enter__(), 'UserExecution.context_manager.enter')\n\n    def __exit__(self, exc_type, exc_value, traceback):\n        if exc_value:\n            write_error('UserExecution.script', 'UserError', exc_value, 'NonCompliant')\n        return ErrorHandlerContextManager.do_op_and_write_error(lambda: self.inner_cm.__exit__(exc_type, exc_value, traceback), 'UserExecution.context_manager.exit')\n\n    @staticmethod\n    def do_op_and_write_error(op, error_code):\n        try:\n            return op()\n        except Exception as e:\n            write_error(error_code, 'SystemError', e, 'Compliant')\n            raise\n\ndef write_error(code, category, error, compliant):\n    try:\n        error_path = os.environ.get('_AZUREML_CR_ERROR_JSON_FILE')\n        dir = os.path.dirname(error_path)\n        os.makedirs(dir, exist_ok=True)\n        with open(error_path, 'x') as f:\n            f.write(json.dumps(to_cr_error(code, category, error, compliant)))\n    except:\n        pass\n\ndef to_cr_error(code, category, error, compliant):\n    known_errors = [\n        'BaseException', 'SystemExit', 'KeyboardInterrupt', 'GeneratorExit', 'Exception', 'StopIteration', 'StopAsyncIteration',\n        'ArithmeticError', 'FloatingPointError', 'OverflowError', 'ZeroDivisionError', 'AssertionError', 'AttributeError',\n        'BufferError', 'EOFError', 'ImportError', 'ModuleNotFoundError', 'LookupError', 'IndexError', 'KeyError', 'MemoryError',\n        'NameError', 'UnboundLocalError', 'OSError', 'BlockingIOError', 'ChildProcessError', 'ConnectionError', 'BrokenPipeError',\n        'ConnectionAbortedError', 'ConnectionRefusedError', 'ConnectionResetError', 'FileExistsError', 'FileNotFoundError',\n        'InterruptedError', 'IsADirectoryError', 'NotADirectoryError', 'PermissionError', 'ProcessLookupError', 'TimeoutError',\n        'ReferenceError', 'RuntimeError', 'NotImplementedError', 'RecursionError', 'SyntaxError', 'IndentationError', 'TabError',\n        'SystemError', 'TypeError', 'ValueError', 'UnicodeError', 'UnicodeDecodeError', 'UnicodeEncodeError', 'UnicodeTranslateError',\n        'Warning', 'DeprecationWarning', 'PendingDeprecationWarning', 'RuntimeWarning', 'SyntaxWarning', 'UserWarning',\n        'FutureWarning', 'ImportWarning', 'UnicodeWarning', 'BytesWarning', 'EncodingWarning', 'ResourceWarning', 'IOError',\n        'EnvironmentError'\n    ]\n    exc_type, exc_val, exc_traceback = sys.exc_info()\n    stack_trace = ''.join(strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback))\n    exception_type = type(error).__name__\n    known_error = exception_type in known_errors\n    exception_type_compliance = 'Compliant' if known_error else compliant\n\n    cr_error = {\n        'code': code,\n        'category': category,\n        'message': { compliant: str(error) },\n        'details': [\n            {\n                'name': 'StackTrace',\n                'value': { compliant: stack_trace }\n            },\n            {\n                'name': 'ExceptionType',\n                'value': { exception_type_compliance: exception_type }\n            },\n        ]\n    }\n\n    try:\n        from azureml.exceptions import AzureMLException, UserErrorException\n        if isinstance(error, UserErrorException):\n            cr_error['category'] = 'UserError'\n        if isinstance(error, AzureMLException):\n            cr_error['details'][1]['value'] = { 'Compliant': exception_type }\n    except:\n        pass\n\n    return cr_error\n\n# Copied from context manager injector\ndef strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback):\n    \"\"\"\n        The actual traceback that gets printed when the exception is in the user code is:\n\n        Traceback(most recent call last) :\n            File 'azureml-setup/context_manager_injector.py', line 161, in <module>\n                execute_with_context(cm_objects, options.invocation)\n            File 'azureml-setup/context_manager_injector.py', line 91, in execute_with_context\n                runpy.run_path(sys.argv[0], globals(), run_name= '__main__')\n            File '<USERPROFILE>\\AppData\\Local\\Continuum\\Miniconda3\\envs\\cli_dev\\lib\\runpy.py', line 263, in run_path\n                pkg_name = pkg_name, script_name = fname)\n            File '<USERPROFILE>\\AppData\\Local\\Continuum\\Miniconda3\\envs\\cli_dev\\lib\\runpy.py', line 96, in _run_module_code\n                mod_name, mod_spec, pkg_name, script_name)\n            File '<USERPROFILE>\\AppData\\Local\\Continuum\\Miniconda3\\envs\\cli_dev\\lib\\runpy.py', line 85, in _run_code\n                exec(code, run_globals)\n            File 'bad_import.py', line 5, in <module>\n                import thisdoesnotexist\n        ModuleNotFoundError: No module named 'thisdoesnotexist'\n\n        however we strip the first 5 layers to give the user a traceback that only contains the user code as part of it\n    \"\"\"\n    traceback_as_list = traceback.format_exception(exc_type, exc_val, exc_traceback)\n    reversed_traceback_list = reversed(traceback_as_list)\n    reversed_trimmed_stack = []\n    # currently the innermost runpy stack occurs inside runpy.py in _run_code and inside the exec(code, run_globals) function\n    # if that changes then the regular stack will be printed\n    keywords_in_innermost_runpy_stack_frame = ['runpy.py', '_run_code', 'exec(code, run_globals)']\n    error_is_in_user_code = False\n    for stack_frame in reversed_traceback_list:\n        if all([keyword in stack_frame for keyword in keywords_in_innermost_runpy_stack_frame]):\n            error_is_in_user_code = True\n            break\n        reversed_trimmed_stack.append(stack_frame)\n    if error_is_in_user_code:\n        # Find the first index of 'Traceback (most recent call last):' in reversed list and append the cause exceptions\n        # This will handle users using 'from with raise' when raising exception\n        reversed_traceback_as_list = traceback_as_list[::-1]\n        traceback_indexes = [idx for idx,stack_frame in enumerate(reversed_traceback_as_list)\n                             if 'Traceback (most recent call last):' in stack_frame]\n        if len(traceback_indexes) > 0:\n            reversed_trimmed_stack.extend(reversed_traceback_as_list[traceback_indexes[0]:])\n\n    return list(reversed(reversed_trimmed_stack))\n\ndef set_tags_for_mlflow_run():\n    # Prepare MLflow integration if supported\n    try:\n        from azureml.core.run import Run\n        from azureml.mlflow import _setup_remote\n        run = Run.get_context() \n        _setup_remote(run)\n    except Exception:\n        return\n\ndef main():\n    # This used to be done in a context_managers.py and context_manager_injector.py where it will add current working\n    # directory and the script's directory to sys.path respectively.\n    # We want to make sure the script's directory is added to the start of sys.path so that it is searched\n    # first and the current working directory is added to the end so that it is searched last.\n    sys.path.insert(0, os.path.dirname(os.path.abspath(sys.argv[1])))\n    sys.path.append(os.getcwd())\n\n    try:\n        # The Run import below is only needed to avoid circular dependency import issue\n        # in the context manager's exit calls\n        from azureml.core import Run\n        from azureml._history.utils.context_managers import SendRunKillSignal\n\n        # Only do this check if AzureML is used\n        if sys.version_info.major != 3 or sys.version_info.minor < 5:\n            raise RuntimeError(f'Python version {str(sys.version_info)} is not supported. Please use python>=3.5')\n\n        # The SendRunKillSignal context manager is misleadingly named. It is actually used to flush metrics of\n        # all the RunHistoryFacade instances. The way it does that is the RunHistoryFacade's constructor registers\n        # a clean up handler that calls flush on the metrics client it has, the handler itself is registered to\n        # a class variable of the RunHistoryFacade class. The SendRunKillSignal context manager's exit method\n        # calls the RunHistoryFacade._kill class method which goes and calls the all of the registered exit handlers\n        # which in turn flushes the metrics. The code below is copied from the run history context manager code.\n        send_kill_signal = not os.environ.get('AZUREML_DISABLE_RUN_KILL_SIGNAL')\n        kill_signal_timeout = float(os.environ.get('AZUREML_RUN_KILL_SIGNAL_TIMEOUT_SEC', '300'))\n        context = SendRunKillSignal(send_kill_signal, kill_signal_timeout)\n    except ImportError:\n        context = NoopContextManager()\n    except RuntimeError:\n        raise\n    except Exception as e:\n        print(f'Warning: Failed to setup Azure Machine Learning system code due to `{e}`. Your job will proceed but if you notice any issues, please contact Azure Support with this exception message.', file=sys.stderr)\n        context = NoopContextManager()\n        \n    set_tags_for_mlflow_run()\n\n    context = ErrorHandlerContextManager(context)\n    with context:\n        # when we invoke with `python -c program args`, sys.argv[0] will be -c, args will be the rest (i.e. sys.argv[1:])\n        expanded_argv = []\n        for arg in sys.argv[1:]:\n            arg = os.path.expandvars(arg)\n            expanded_argv.append(arg)\n        sys.argv = expanded_argv\n        runpy.run_path(sys.argv[0], globals(), run_name='__main__')\n\nif __name__ == '__main__':\n    try:\n        main()\n    except SystemExit as ex:\n        # Copied from context manager injector\n        exc_type, exc_val, exc_traceback = sys.exc_info()\n        print(''.join(strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback)), file=sys.stderr)\n        if ex.code is not None:\n            sys.exit(ex.code)\n    except Exception as ex:\n        # Copied from context manager injector\n        exc_type, exc_val, exc_traceback = sys.exc_info()\n        print(''.join(strip_stack_of_azureml_layers(exc_type, exc_val, exc_traceback)), file=sys.stderr)\n        sys.exit(1)\n","urldecode_invoker.py","python","-m","azureml.studio.modulehost.module_invoker","--module-name=azureml.studio.modules.datatransform.manipulation.select_columns.select_columns","--results-dataset","$AZURE_ML_OUTPUT_Results_dataset","--dataset=$AZUREML_DATAREFERENCE_Dataset","--select-columns=%257B%2522isFilter%2522%253Atrue%252C%2522rules%2522%253A%255B%257B%2522exclude%2522%253Afalse%252C%2522ruleType%2522%253A%2522AllColumns%2522%257D%252C%257B%2522exclude%2522%253Atrue%252C%2522ruleType%2522%253A%2522ColumnNames%2522%252C%2522columns%2522%253A%255B%2522normalized-losses%2522%255D%257D%255D%257D"],"success_return_code":{"zero":{"additional_codes":[]}}},"stderr":null,"stdout":"user_logs/std_log.txt"}}}],"execution_environment":[{"name":"AZUREML_ARM_PROJECT_NAME","value":"tomasexperiment"},{"name":"AZUREML_ARM_RESOURCEGROUP","value":"azureml"},{"name":"AZUREML_ARM_SUBSCRIPTION","value":"a0f4a733-4fce-4d49-b8a8-d30541fc1b45"},{"name":"AZUREML_ARM_WORKSPACE_NAME","value":"azureml"},{"name":"AZUREML_CR_AZUREML_CONTEXT","value":"{\"subscription_id\":\"a0f4a733-4fce-4d49-b8a8-d30541fc1b45\",\"resource_group\":\"azureml\",\"workspace_name\":\"azureml\",\"workspace_id\":\"10400c14-9477-41ad-a935-e963d851654b\",\"service_endpoint\":\"https://westeurope.api.azureml.ms\",\"discovery_endpoint\":\"https://westeurope.api.azureml.ms/discovery\",\"experiment_name\":\"tomasexperiment\",\"experiment_id\":\"e4360b71-5ba4-4789-8e0c-ab040462cc06\",\"root_run_id\":\"f4a6c5eb-1feb-49ff-9429-4ec15b15393c\",\"run_id\":\"89a01da5-907f-42a6-96e4-8d2e6a22c869\",\"run_token\":\"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.eyJyb2xlIjoiQ29udHJpYnV0b3IiLCJzY29wZSI6Ii9zdWJzY3JpcHRpb25zL2EwZjRhNzMzLTRmY2UtNGQ0OS1iOGE4LWQzMDU0MWZjMWI0NS9yZXNvdXJjZUdyb3Vwcy9henVyZW1sL3Byb3ZpZGVycy9NaWNyb3NvZnQuTWFjaGluZUxlYXJuaW5nU2VydmljZXMvd29ya3NwYWNlcy9henVyZW1sIiwiYWNjb3VudGlkIjoiMDAwMDAwMDAtMDAwMC0wMDAwLTAwMDAtMDAwMDAwMDAwMDAwIiwid29ya3NwYWNlSWQiOiIxMDQwMGMxNC05NDc3LTQxYWQtYTkzNS1lOTYzZDg1MTY1NGIiLCJwcm9qZWN0aWQiOiIwMDAwMDAwMC0wMDAwLTAwMDAtMDAwMC0wMDAwMDAwMDAwMDAiLCJkaXNjb3ZlcnkiOiJ1cmk6Ly9kaXNjb3Zlcnl1cmkvIiwidGlkIjoiNzJmOTg4YmYtODZmMS00MWFmLTkxYWItMmQ3Y2QwMTFkYjQ3Iiwib2lkIjoiNzQyNGZiNGMtNWU5Zi00NWNkLTlmN2QtNDUzZDQ1NjU1ZTc1IiwicHVpZCI6IjEwMDNCRkZEOURDM0I2OUYiLCJpc3MiOiJhenVyZW1sIiwiYXBwaWQiOiJUb21hcyBLdWJpY2EiLCJleHAiOjE2NTk0Mjg4NTIsImF1ZCI6ImF6dXJlbWwifQ.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw\",\"run_history_service_endpoint\":\"https://westeurope.api.azureml.ms\",\"data_container_id\":\"dcid.89a01da5-907f-42a6-96e4-8d2e6a22c869\",\"run_uuid\":\"1cfc74aa-e333-46e9-b776-72f82ab26790\"}"},{"name":"AZUREML_CR_COMPUTE_CONTEXT","value":"{\"cluster_name\":\"k8s-compute\",\"node_id\":{\"EnvironmentVariable\":\"POD_NAME\"},\"vm_id\":null,\"run_attempt_count\":1,\"gpu_count\":0,\"vm_size\":null,\"readable_cluster_name\":null,\"vm_priority\":null,\"use_vnet_or_private_link\":false}"},{"name":"AZUREML_CR_CORRELATION_ID","value":"89a01da5-907f-42a6-96e4-8d2e6a22c869"},{"name":"AZUREML_CR_DISTRIBUTED_CONFIG","value":"{\"rank\":\"VK_TASK_INDEX\",\"host_list\":[\"azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local\"],\"remote_grpc\":{\"Tcp\":{\"lifecycler_port\":13333,\"executor_port\":13334}}}"},{"name":"AZUREML_CR_TELEMETRY_CONFIG","value":"{\"collector\":{\"receiver\":null,\"exporter\":{\"appinsights\":{\"instrumentation_key\":\"fca5a4c9-adb4-44ae-bece-69e2cc91ff66\"},\"jaeger\":null,\"timeout_millis\":null,\"level\":null}},\"logger\":{\"console\":null,\"appinsights\":{\"instrumentation_key\":\"fca5a4c9-adb4-44ae-bece-69e2cc91ff66\",\"level\":\"info\",\"enabled\":true},\"file\":{\"extension\":\"log\",\"level\":\"info\",\"enabled\":true}},\"node_rank\":\"VK_TASK_INDEX\",\"node_id\":null,\"disable_sensitive_scrub\":null}"},{"name":"AZUREML_DATASET_FILE_OUTPUTS","value":"Results_dataset"},{"name":"AZUREML_DISCOVERY_SERVICE_ENDPOINT","value":"https://westeurope.api.azureml.ms/discovery"},{"name":"AZUREML_EXPERIMENT_ID","value":"e4360b71-5ba4-4789-8e0c-ab040462cc06"},{"name":"AZUREML_EXPERIMENT_SCOPE","value":"/subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml/experiments/tomasexperiment"},{"name":"AZUREML_PARAMETER_Node_Count","value":"1"},{"name":"AZUREML_PARAMETER_Select_Columns","value":"%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22AllColumns%22%7D%2C%7B%22exclude%22%3Atrue%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22normalized-losses%22%5D%7D%5D%7D"},{"name":"AZUREML_ROOT_RUN_ID","value":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c"},{"name":"AZUREML_RUN_HISTORY_SERVICE_ENDPOINT","value":"https://westeurope.api.azureml.ms"},{"name":"AZUREML_RUN_ID","value":"89a01da5-907f-42a6-96e4-8d2e6a22c869"},{"name":"AZUREML_RUN_TOKEN","value":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw"},{"name":"AZUREML_SERVICE_ENDPOINT","value":"https://westeurope.api.azureml.ms"},{"name":"AZUREML_WORKSPACE_ID","value":"10400c14-9477-41ad-a935-e963d851654b"},{"name":"AZUREML_WORKSPACE_SCOPE","value":"/subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml"},{"name":"DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED","value":"true"},{"name":"DATASET_RSLEX_UPLOAD","value":"true"},{"name":"EXAMPLE_ENV_VAR","value":"EXAMPLE_VALUE"},{"name":"MLFLOW_EXPERIMENT_ID","value":"e4360b71-5ba4-4789-8e0c-ab040462cc06"},{"name":"MLFLOW_EXPERIMENT_NAME","value":"tomasexperiment"},{"name":"MLFLOW_RUN_ID","value":"89a01da5-907f-42a6-96e4-8d2e6a22c869"},{"name":"MLFLOW_TRACKING_TOKEN","value":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw"},{"name":"MLFLOW_TRACKING_URI","value":"azureml://westeurope.api.azureml.ms/mlflow/v1.0/subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml"}],"executor_address":"0.0.0.0:13334","lifecycler_address":"0.0.0.0:13333","error_file":"/tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd/termination-log","distributed_config":{"rank":"VK_TASK_INDEX","host_list":["azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local"],"remote_grpc":{"Tcp":{"lifecycler_port":13333,"executor_port":13334}}},"lifecycler_config":{"enable_termination_signal_handling":true}}
- name: AZUREML_ARM_WORKSPACE_NAME
value: azureml
- name: AZUREML_ARM_SUBSCRIPTION
value: a0f4a733-4fce-4d49-b8a8-d30541fc1b45
- name: AZUREML_ARM_PROJECT_NAME
value: tomasexperiment
- name: AZUREML_DISCOVERY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms/discovery
- name: AZUREML_RUN_HISTORY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_WORKSPACE_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml
- name: AZUREML_CR_AZUREML_CONTEXT
value: '{"subscription_id":"a0f4a733-4fce-4d49-b8a8-d30541fc1b45","resource_group":"azureml","workspace_name":"azureml","workspace_id":"10400c14-9477-41ad-a935-e963d851654b","service_endpoint":"https://westeurope.api.azureml.ms","discovery_endpoint":"https://westeurope.api.azureml.ms/discovery","experiment_name":"tomasexperiment","experiment_id":"e4360b71-5ba4-4789-8e0c-ab040462cc06","root_run_id":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c","run_id":"89a01da5-907f-42a6-96e4-8d2e6a22c869","run_token":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw","run_history_service_endpoint":"https://westeurope.api.azureml.ms","data_container_id":"dcid.89a01da5-907f-42a6-96e4-8d2e6a22c869","run_uuid":"1cfc74aa-e333-46e9-b776-72f82ab26790"}'
- name: AZUREML_WORKSPACE_ID
value: 10400c14-9477-41ad-a935-e963d851654b
- name: AZUREML_EXPERIMENT_ID
value: e4360b71-5ba4-4789-8e0c-ab040462cc06
- name: AZUREML_RUN_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_EXPERIMENT_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml/experiments/tomasexperiment
- name: AZUREML_ROOT_RUN_ID
value: f4a6c5eb-1feb-49ff-9429-4ec15b15393c
- name: AZUREML_RUN_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.eyJyb2xlIjoiQ29udHJpYnV0b3IiLCJzY29wZSI6Ii9zdWJzY3JpcHRpb25zL2EwZjRhNzMzLTRmY2UtNGQ0OS1iOGE4LWQzMDU0MWZjMWI0NS9yZXNvdXJjZUdyb3Vwcy9henVyZW1sL3Byb3ZpZGVycy9NaWNyb3NvZnQuTWFjaGluZUxlYXJuaW5nU2VydmljZXMvd29ya3NwYWNlcy9henVyZW1sIiwiYWNjb3VudGlkIjoiMDAwMDAwMDAtMDAwMC0wMDAwLTAwMDAtMDAwMDAwMDAwMDAwIiwid29ya3NwYWNlSWQiOiIxMDQwMGMxNC05NDc3LTQxYWQtYTkzNS1lOTYzZDg1MTY1NGIiLCJwcm9qZWN0aWQiOiIwMDAwMDAwMC0wMDAwLTAwMDAtMDAwMC0wMDAwMDAwMDAwMDAiLCJkaXNjb3ZlcnkiOiJ1cmk6Ly9kaXNjb3Zlcnl1cmkvIiwidGlkIjoiNzJmOTg4YmYtODZmMS00MWFmLTkxYWItMmQ3Y2QwMTFkYjQ3Iiwib2lkIjoiNzQyNGZiNGMtNWU5Zi00NWNkLTlmN2QtNDUzZDQ1NjU1ZTc1IiwicHVpZCI6IjEwMDNCRkZEOURDM0I2OUYiLCJpc3MiOiJhenVyZW1sIiwiYXBwaWQiOiJUb21hcyBLdWJpY2EiLCJleHAiOjE2NTk0Mjg4NTIsImF1ZCI6ImF6dXJlbWwifQ.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw
- name: AZUREML_ARM_RESOURCEGROUP
value: azureml
- name: AZUREML_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_CR_COMPUTE_CONTEXT
value: '{"cluster_name":"k8s-compute","node_id":{"EnvironmentVariable":"POD_NAME"},"vm_id":null,"run_attempt_count":1,"gpu_count":0,"vm_size":null,"readable_cluster_name":null,"vm_priority":null,"use_vnet_or_private_link":false}'
- name: AZUREML_CR_DISTRIBUTED_CONFIG
value: '{"rank":"VK_TASK_INDEX","host_list":["azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local"[],"remote_grpc":{"Tcp":{"lifecycler_port":13333,"executor_port":13334}}}'
- name: AZUREML_CR_TELEMETRY_CONFIG
value: '{"collector":{"receiver":null,"exporter":{"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66"},"jaeger":null,"timeout_millis":null,"level":null}},"logger":{"console":null,"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66","level":"info","enabled":true},"file":{"extension":"log","level":"info","enabled":true}},"node_rank":"VK_TASK_INDEX","node_id":null,"disable_sensitive_scrub":null}'
- name: AZUREML_CR_GRPC_ADDRESS_BASE
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
- name: AZUREML_CR_DATA_CAPABILITY_ADDRESS
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- name: AZUREML_CR_DATA_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
- name: AZUREML_CR_DATA_CAPABILITY_HOST
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- name: AZUREML_CR_CS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/cs-capability:0
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value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
- name: AZUREML_CR_CS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-cs-capability
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/hosttools-capability:0
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_PATH
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value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
- name: AZUREML_DATASET_FILE_OUTPUTS
value: Results_dataset
- name: AZUREML_PARAMETER_Select_Columns
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- name: DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED
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- name: AZUREML_PARAMETER_Node_Count
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- name: DATASET_RSLEX_UPLOAD
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- name: AZUREML_CR_CORRELATION_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_CR_LIFECYCLER_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
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valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
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fieldPath: metadata.namespace
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valueFrom:
fieldRef:
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fieldPath: status.podIP
- name: NODE_NAME
valueFrom:
fieldRef:
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fieldPath: spec.nodeName
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
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name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
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valueFrom:
configMapKeyRef:
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name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: viennaglobal.azurecr.io/cap/lifecycler/installed:westeurope-stable
imagePullPolicy: Always
name: 1cfc74aae33346e9b77672f82ab26790-lifecycler
resources: {}
securityContext:
privileged: true
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: FallbackToLogsOnError
volumeMounts:
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mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-a3ec5951
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-b678f70c
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-77bc0027
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mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-ddcb583f
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mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-e3108668
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-72150f7f
- mountPath: /etc/podinfo
name: podinfo
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
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name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
- env:
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- name: AMLARC_NUM_WORKER
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- name: AML_JOB_ID
value: 8b2821ccdc9c9fb818502c0e69b96572
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valueFrom:
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fieldPath: metadata.uid
- name: AMLARC_NUM_PS
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- name: AMLARC_ROLE_INDEX_REGEX
value: '[a-zA-Z0-9\-]*-([a-zA-Z[]*)-([0-9[]*)'
- name: AZUREML_OBO_CANARY_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.LgInzjMVeUO-1vcr-hrK4KeYNvWlAI3rTwaTimQ9OmJcCYopbWYWg8_aVwUKvKa3goqoZJgs2UEUwgv19r_cyL-BR8v-4opIRJh68ZLUBJYPuVRK_qRQdM7OkJdU2PZugiBFYGSicG40xE1I80LjdnEcrJHRVQ0-UFNJvaWtu-HHpV_aKedQNClO4jZb9Dfoax63ZHw4C4e2f9GV7JTQ1v18SlXlyEHR8iSRg9p-cDnmiktBkctYs2VMIU_k57hNtq5fJS5zBetjlA9wYIHzOAER2CefogBWSXxBhGKTRlDX-ovIz3j9JE2H5BuNNhm2yEcucrB8oROVgGF2zcb-vQ
- name: AZUREML_OBO_ENABLED
value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: AZUREML_CR_DATA_CAPABILITY_CONFIG
value: '[{"environment_names":["AZUREML_DATAREFERENCE_Dataset","AZURE_ML_INPUT_Dataset"[],"from":"azuremldatareference://azureml_globaldatasets/GenericCSV/Automobile_price_data_(Raw)","mode":"mount","name":"Dataset","options":{"cache_size_buffer_mb":500,"force_folder":true}},{"environment_names":["Results_dataset","AZURE_ML_OUTPUT_Results_dataset"[],"mode":"mount","name":"Results_dataset","options":{"is_single_file":false,"register_dataset":{"properties":{"azureml.pipelineRun.moduleNodeId":"47566002","azureml.pipelineRun.outputPortName":"Results_dataset","azureml.pipelineRunId":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c"}}},"to":"azuremldatastore://workspaceblobstore/azureml/89a01da5-907f-42a6-96e4-8d2e6a22c869/Results_dataset"}]'
- name: AZUREML_ARM_WORKSPACE_NAME
value: azureml
- name: AZUREML_ARM_SUBSCRIPTION
value: a0f4a733-4fce-4d49-b8a8-d30541fc1b45
- name: AZUREML_ARM_PROJECT_NAME
value: tomasexperiment
- name: AZUREML_DISCOVERY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms/discovery
- name: AZUREML_RUN_HISTORY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_WORKSPACE_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml
- name: AZUREML_CR_AZUREML_CONTEXT
value: '{"subscription_id":"a0f4a733-4fce-4d49-b8a8-d30541fc1b45","resource_group":"azureml","workspace_name":"azureml","workspace_id":"10400c14-9477-41ad-a935-e963d851654b","service_endpoint":"https://westeurope.api.azureml.ms","discovery_endpoint":"https://westeurope.api.azureml.ms/discovery","experiment_name":"tomasexperiment","experiment_id":"e4360b71-5ba4-4789-8e0c-ab040462cc06","root_run_id":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c","run_id":"89a01da5-907f-42a6-96e4-8d2e6a22c869","run_token":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw","run_history_service_endpoint":"https://westeurope.api.azureml.ms","data_container_id":"dcid.89a01da5-907f-42a6-96e4-8d2e6a22c869","run_uuid":"1cfc74aa-e333-46e9-b776-72f82ab26790"}'
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value: e4360b71-5ba4-4789-8e0c-ab040462cc06
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value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_EXPERIMENT_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml/experiments/tomasexperiment
- name: AZUREML_ROOT_RUN_ID
value: f4a6c5eb-1feb-49ff-9429-4ec15b15393c
- name: AZUREML_RUN_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw
- name: AZUREML_ARM_RESOURCEGROUP
value: azureml
- name: AZUREML_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_CR_COMPUTE_CONTEXT
value: '{"cluster_name":"k8s-compute","node_id":{"EnvironmentVariable":"POD_NAME"},"vm_id":null,"run_attempt_count":1,"gpu_count":0,"vm_size":null,"readable_cluster_name":null,"vm_priority":null,"use_vnet_or_private_link":false}'
- name: AZUREML_CR_DISTRIBUTED_CONFIG
value: '{"rank":"VK_TASK_INDEX","host_list":["azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local"[],"remote_grpc":{"Tcp":{"lifecycler_port":13333,"executor_port":13334}}}'
- name: AZUREML_CR_TELEMETRY_CONFIG
value: '{"collector":{"receiver":null,"exporter":{"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66"},"jaeger":null,"timeout_millis":null,"level":null}},"logger":{"console":null,"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66","level":"info","enabled":true},"file":{"extension":"log","level":"info","enabled":true}},"node_rank":"VK_TASK_INDEX","node_id":null,"disable_sensitive_scrub":null}'
- name: AZUREML_CR_GRPC_ADDRESS_BASE
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
- name: AZUREML_CR_DATA_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/data-capability:0
- name: AZUREML_CR_DATA_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
- name: AZUREML_CR_DATA_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-data-capability
- name: AZUREML_CR_CS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/cs-capability:0
- name: AZUREML_CR_CS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
- name: AZUREML_CR_CS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-cs-capability
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/hosttools-capability:0
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-hosttools-capability
- name: AZUREML_CR_EXECUTION_WORKING_DIR_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
- name: AZUREML_DATASET_FILE_OUTPUTS
value: Results_dataset
- name: AZUREML_PARAMETER_Select_Columns
value: '%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22AllColumns%22%7D%2C%7B%22exclude%22%3Atrue%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22normalized-losses%22%5D%7D%5D%7D'
- name: DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED
value: "true"
- name: AZUREML_PARAMETER_Node_Count
value: "1"
- name: DATASET_RSLEX_UPLOAD
value: "true"
- name: AZUREML_CR_CORRELATION_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_CR_LIFECYCLER_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
- name: POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
- name: POD_IP
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: status.podIP
- name: NODE_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: spec.nodeName
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
key: VC_WORKER_HOSTS
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VC_WORKER_NUM
valueFrom:
configMapKeyRef:
key: VC_WORKER_NUM
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: viennaglobal.azurecr.io/cap/data-capability/installed:westeurope-stable
imagePullPolicy: Always
name: 1cfc74aae33346e9b77672f82ab26790-data-capability
resources: {}
securityContext:
privileged: true
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: FallbackToLogsOnError
volumeMounts:
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-a3ec5951
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-b678f70c
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-77bc0027
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-ddcb583f
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-e3108668
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-72150f7f
- mountPath: /etc/podinfo
name: podinfo
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- mountPath: /root/.ssh
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
- env:
- name: AMLARC_NUM_GPU_PER_WORKER
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AML_JOB_ID
value: 8b2821ccdc9c9fb818502c0e69b96572
- name: POD_UID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.uid
- name: AMLARC_NUM_PS
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AMLARC_ROLE_INDEX_REGEX
value: '[a-zA-Z0-9\-]*-([a-zA-Z[]*)-([0-9[]*)'
- name: AZUREML_OBO_CANARY_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.LgInzjMVeUO-1vcr-hrK4KeYNvWlAI3rTwaTimQ9OmJcCYopbWYWg8_aVwUKvKa3goqoZJgs2UEUwgv19r_cyL-BR8v-4opIRJh68ZLUBJYPuVRK_qRQdM7OkJdU2PZugiBFYGSicG40xE1I80LjdnEcrJHRVQ0-UFNJvaWtu-HHpV_aKedQNClO4jZb9Dfoax63ZHw4C4e2f9GV7JTQ1v18SlXlyEHR8iSRg9p-cDnmiktBkctYs2VMIU_k57hNtq5fJS5zBetjlA9wYIHzOAER2CefogBWSXxBhGKTRlDX-ovIz3j9JE2H5BuNNhm2yEcucrB8oROVgGF2zcb-vQ
- name: AZUREML_OBO_ENABLED
value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: AZUREML_CR_CS_CAPABILITY_CONFIG
value: '{"context_managers":[],"snapshot":"[{\"Id\":\"fc4a4324-6587-4219-91b9-109298ed4ad9\",\"PathStack\":[\".\"],\"SnapshotEntityId\":null,\"SnapshotAssetId\":null}]"}'
- name: AZUREML_ARM_WORKSPACE_NAME
value: azureml
- name: AZUREML_ARM_SUBSCRIPTION
value: a0f4a733-4fce-4d49-b8a8-d30541fc1b45
- name: AZUREML_ARM_PROJECT_NAME
value: tomasexperiment
- name: AZUREML_DISCOVERY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms/discovery
- name: AZUREML_RUN_HISTORY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_WORKSPACE_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml
- name: AZUREML_CR_AZUREML_CONTEXT
value: '{"subscription_id":"a0f4a733-4fce-4d49-b8a8-d30541fc1b45","resource_group":"azureml","workspace_name":"azureml","workspace_id":"10400c14-9477-41ad-a935-e963d851654b","service_endpoint":"https://westeurope.api.azureml.ms","discovery_endpoint":"https://westeurope.api.azureml.ms/discovery","experiment_name":"tomasexperiment","experiment_id":"e4360b71-5ba4-4789-8e0c-ab040462cc06","root_run_id":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c","run_id":"89a01da5-907f-42a6-96e4-8d2e6a22c869","run_token":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw","run_history_service_endpoint":"https://westeurope.api.azureml.ms","data_container_id":"dcid.89a01da5-907f-42a6-96e4-8d2e6a22c869","run_uuid":"1cfc74aa-e333-46e9-b776-72f82ab26790"}'
- name: AZUREML_WORKSPACE_ID
value: 10400c14-9477-41ad-a935-e963d851654b
- name: AZUREML_EXPERIMENT_ID
value: e4360b71-5ba4-4789-8e0c-ab040462cc06
- name: AZUREML_RUN_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_EXPERIMENT_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml/experiments/tomasexperiment
- name: AZUREML_ROOT_RUN_ID
value: f4a6c5eb-1feb-49ff-9429-4ec15b15393c
- name: AZUREML_RUN_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw
- name: AZUREML_ARM_RESOURCEGROUP
value: azureml
- name: AZUREML_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_CR_COMPUTE_CONTEXT
value: '{"cluster_name":"k8s-compute","node_id":{"EnvironmentVariable":"POD_NAME"},"vm_id":null,"run_attempt_count":1,"gpu_count":0,"vm_size":null,"readable_cluster_name":null,"vm_priority":null,"use_vnet_or_private_link":false}'
- name: AZUREML_CR_DISTRIBUTED_CONFIG
value: '{"rank":"VK_TASK_INDEX","host_list":["azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local"[],"remote_grpc":{"Tcp":{"lifecycler_port":13333,"executor_port":13334}}}'
- name: AZUREML_CR_TELEMETRY_CONFIG
value: '{"collector":{"receiver":null,"exporter":{"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66"},"jaeger":null,"timeout_millis":null,"level":null}},"logger":{"console":null,"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66","level":"info","enabled":true},"file":{"extension":"log","level":"info","enabled":true}},"node_rank":"VK_TASK_INDEX","node_id":null,"disable_sensitive_scrub":null}'
- name: AZUREML_CR_GRPC_ADDRESS_BASE
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
- name: AZUREML_CR_DATA_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/data-capability:0
- name: AZUREML_CR_DATA_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
- name: AZUREML_CR_DATA_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-data-capability
- name: AZUREML_CR_CS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/cs-capability:0
- name: AZUREML_CR_CS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
- name: AZUREML_CR_CS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-cs-capability
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/hosttools-capability:0
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-hosttools-capability
- name: AZUREML_CR_EXECUTION_WORKING_DIR_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
- name: AZUREML_DATASET_FILE_OUTPUTS
value: Results_dataset
- name: AZUREML_PARAMETER_Select_Columns
value: '%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22AllColumns%22%7D%2C%7B%22exclude%22%3Atrue%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22normalized-losses%22%5D%7D%5D%7D'
- name: DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED
value: "true"
- name: AZUREML_PARAMETER_Node_Count
value: "1"
- name: DATASET_RSLEX_UPLOAD
value: "true"
- name: AZUREML_CR_CORRELATION_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_CR_LIFECYCLER_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
- name: POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
- name: POD_IP
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: status.podIP
- name: NODE_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: spec.nodeName
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
key: VC_WORKER_HOSTS
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VC_WORKER_NUM
valueFrom:
configMapKeyRef:
key: VC_WORKER_NUM
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: viennaglobal.azurecr.io/cap/cs-capability/installed:westeurope-stable
imagePullPolicy: Always
name: 1cfc74aae33346e9b77672f82ab26790-cs-capability
resources: {}
securityContext:
privileged: true
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: FallbackToLogsOnError
volumeMounts:
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-a3ec5951
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-b678f70c
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-77bc0027
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-ddcb583f
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-e3108668
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-72150f7f
- mountPath: /etc/podinfo
name: podinfo
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- mountPath: /root/.ssh
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
- env:
- name: AMLARC_NUM_GPU_PER_WORKER
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AML_JOB_ID
value: 8b2821ccdc9c9fb818502c0e69b96572
- name: POD_UID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.uid
- name: AMLARC_NUM_PS
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AMLARC_ROLE_INDEX_REGEX
value: '[a-zA-Z0-9\-]*-([a-zA-Z[]*)-([0-9[]*)'
- name: AZUREML_OBO_CANARY_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.LgInzjMVeUO-1vcr-hrK4KeYNvWlAI3rTwaTimQ9OmJcCYopbWYWg8_aVwUKvKa3goqoZJgs2UEUwgv19r_cyL-BR8v-4opIRJh68ZLUBJYPuVRK_qRQdM7OkJdU2PZugiBFYGSicG40xE1I80LjdnEcrJHRVQ0-UFNJvaWtu-HHpV_aKedQNClO4jZb9Dfoax63ZHw4C4e2f9GV7JTQ1v18SlXlyEHR8iSRg9p-cDnmiktBkctYs2VMIU_k57hNtq5fJS5zBetjlA9wYIHzOAER2CefogBWSXxBhGKTRlDX-ovIz3j9JE2H5BuNNhm2yEcucrB8oROVgGF2zcb-vQ
- name: AZUREML_OBO_ENABLED
value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_CONFIG
value: '{"dirs":[{"environment_name":"AZUREML_CR_HT_CAP_user_logs_PATH","relative_path":"user_logs","streamable":true},{"environment_name":"AZUREML_CR_HT_CAP_azureml_logs_PATH","relative_path":"azureml-logs","streamable":true},{"environment_name":"AZUREML_CR_HT_CAP_outputs_PATH","relative_path":"outputs","streamable":false},{"environment_name":"AZUREML_CR_HT_CAP_logs_PATH","relative_path":"logs","streamable":true}],"log_filtering_policy":null,"metrics":{"enabled":true,"polling_interval_sec":30,"send_to_history_interval_sec":60},"use_block_blob_in_blob_streamer":true}'
- name: AZUREML_ARM_WORKSPACE_NAME
value: azureml
- name: AZUREML_ARM_SUBSCRIPTION
value: a0f4a733-4fce-4d49-b8a8-d30541fc1b45
- name: AZUREML_ARM_PROJECT_NAME
value: tomasexperiment
- name: AZUREML_DISCOVERY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms/discovery
- name: AZUREML_RUN_HISTORY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_WORKSPACE_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml
- name: AZUREML_CR_AZUREML_CONTEXT
value: '{"subscription_id":"a0f4a733-4fce-4d49-b8a8-d30541fc1b45","resource_group":"azureml","workspace_name":"azureml","workspace_id":"10400c14-9477-41ad-a935-e963d851654b","service_endpoint":"https://westeurope.api.azureml.ms","discovery_endpoint":"https://westeurope.api.azureml.ms/discovery","experiment_name":"tomasexperiment","experiment_id":"e4360b71-5ba4-4789-8e0c-ab040462cc06","root_run_id":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c","run_id":"89a01da5-907f-42a6-96e4-8d2e6a22c869","run_token":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw","run_history_service_endpoint":"https://westeurope.api.azureml.ms","data_container_id":"dcid.89a01da5-907f-42a6-96e4-8d2e6a22c869","run_uuid":"1cfc74aa-e333-46e9-b776-72f82ab26790"}'
- name: AZUREML_WORKSPACE_ID
value: 10400c14-9477-41ad-a935-e963d851654b
- name: AZUREML_EXPERIMENT_ID
value: e4360b71-5ba4-4789-8e0c-ab040462cc06
- name: AZUREML_RUN_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_EXPERIMENT_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml/experiments/tomasexperiment
- name: AZUREML_ROOT_RUN_ID
value: f4a6c5eb-1feb-49ff-9429-4ec15b15393c
- name: AZUREML_RUN_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw
- name: AZUREML_ARM_RESOURCEGROUP
value: azureml
- name: AZUREML_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_CR_COMPUTE_CONTEXT
value: '{"cluster_name":"k8s-compute","node_id":{"EnvironmentVariable":"POD_NAME"},"vm_id":null,"run_attempt_count":1,"gpu_count":0,"vm_size":null,"readable_cluster_name":null,"vm_priority":null,"use_vnet_or_private_link":false}'
- name: AZUREML_CR_DISTRIBUTED_CONFIG
value: '{"rank":"VK_TASK_INDEX","host_list":["azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local"[],"remote_grpc":{"Tcp":{"lifecycler_port":13333,"executor_port":13334}}}'
- name: AZUREML_CR_TELEMETRY_CONFIG
value: '{"collector":{"receiver":null,"exporter":{"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66"},"jaeger":null,"timeout_millis":null,"level":null}},"logger":{"console":null,"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66","level":"info","enabled":true},"file":{"extension":"log","level":"info","enabled":true}},"node_rank":"VK_TASK_INDEX","node_id":null,"disable_sensitive_scrub":null}'
- name: AZUREML_CR_GRPC_ADDRESS_BASE
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
- name: AZUREML_CR_DATA_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/data-capability:0
- name: AZUREML_CR_DATA_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
- name: AZUREML_CR_DATA_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-data-capability
- name: AZUREML_CR_CS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/cs-capability:0
- name: AZUREML_CR_CS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
- name: AZUREML_CR_CS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-cs-capability
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/hosttools-capability:0
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-hosttools-capability
- name: AZUREML_CR_EXECUTION_WORKING_DIR_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
- name: AZUREML_DATASET_FILE_OUTPUTS
value: Results_dataset
- name: AZUREML_PARAMETER_Select_Columns
value: '%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22AllColumns%22%7D%2C%7B%22exclude%22%3Atrue%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22normalized-losses%22%5D%7D%5D%7D'
- name: DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED
value: "true"
- name: AZUREML_PARAMETER_Node_Count
value: "1"
- name: DATASET_RSLEX_UPLOAD
value: "true"
- name: AZUREML_CR_CORRELATION_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_CR_LIFECYCLER_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
- name: POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
- name: POD_IP
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: status.podIP
- name: NODE_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: spec.nodeName
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
key: VC_WORKER_HOSTS
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VC_WORKER_NUM
valueFrom:
configMapKeyRef:
key: VC_WORKER_NUM
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: viennaglobal.azurecr.io/cap/hosttools-capability/installed:westeurope-stable
imagePullPolicy: Always
name: 1cfc74aae33346e9b77672f82ab26790-hosttools-capability
resources: {}
securityContext:
privileged: true
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: FallbackToLogsOnError
volumeMounts:
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-a3ec5951
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-b678f70c
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-77bc0027
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-ddcb583f
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-e3108668
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
mountPropagation: Bidirectional
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-72150f7f
- mountPath: /etc/podinfo
name: podinfo
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- mountPath: /root/.ssh
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
- command:
- bash
- -c
- set -o pipefail; bash /amlarc-scripts/bootstrap_common_runtime.sh 2>&1; /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd/execution-wrapper
env:
- name: AMLARC_NUM_GPU_PER_WORKER
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AML_JOB_ID
value: 8b2821ccdc9c9fb818502c0e69b96572
- name: POD_UID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.uid
- name: AMLARC_NUM_PS
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AMLARC_ROLE_INDEX_REGEX
value: '[a-zA-Z0-9\-]*-([a-zA-Z[]*)-([0-9[]*)'
- name: AZUREML_OBO_CANARY_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.LgInzjMVeUO-1vcr-hrK4KeYNvWlAI3rTwaTimQ9OmJcCYopbWYWg8_aVwUKvKa3goqoZJgs2UEUwgv19r_cyL-BR8v-4opIRJh68ZLUBJYPuVRK_qRQdM7OkJdU2PZugiBFYGSicG40xE1I80LjdnEcrJHRVQ0-UFNJvaWtu-HHpV_aKedQNClO4jZb9Dfoax63ZHw4C4e2f9GV7JTQ1v18SlXlyEHR8iSRg9p-cDnmiktBkctYs2VMIU_k57hNtq5fJS5zBetjlA9wYIHzOAER2CefogBWSXxBhGKTRlDX-ovIz3j9JE2H5BuNNhm2yEcucrB8oROVgGF2zcb-vQ
- name: AZUREML_OBO_ENABLED
value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: AMLUSER_GROUPS
- name: HOST_LIST
value: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local
- name: AZUREML_CR_EXECUTOR_CONFIG
value: 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
- name: MLFLOW_RUN_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: MLFLOW_TRACKING_URI
value: azureml://westeurope.api.azureml.ms/mlflow/v1.0/subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml
- name: MLFLOW_EXPERIMENT_NAME
value: tomasexperiment
- name: EXAMPLE_ENV_VAR
value: EXAMPLE_VALUE
- name: MLFLOW_TRACKING_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw
- name: MLFLOW_EXPERIMENT_ID
value: e4360b71-5ba4-4789-8e0c-ab040462cc06
- name: AZUREML_ARM_WORKSPACE_NAME
value: azureml
- name: AZUREML_ARM_SUBSCRIPTION
value: a0f4a733-4fce-4d49-b8a8-d30541fc1b45
- name: AZUREML_ARM_PROJECT_NAME
value: tomasexperiment
- name: AZUREML_DISCOVERY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms/discovery
- name: AZUREML_RUN_HISTORY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_WORKSPACE_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml
- name: AZUREML_CR_AZUREML_CONTEXT
value: '{"subscription_id":"a0f4a733-4fce-4d49-b8a8-d30541fc1b45","resource_group":"azureml","workspace_name":"azureml","workspace_id":"10400c14-9477-41ad-a935-e963d851654b","service_endpoint":"https://westeurope.api.azureml.ms","discovery_endpoint":"https://westeurope.api.azureml.ms/discovery","experiment_name":"tomasexperiment","experiment_id":"e4360b71-5ba4-4789-8e0c-ab040462cc06","root_run_id":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c","run_id":"89a01da5-907f-42a6-96e4-8d2e6a22c869","run_token":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw","run_history_service_endpoint":"https://westeurope.api.azureml.ms","data_container_id":"dcid.89a01da5-907f-42a6-96e4-8d2e6a22c869","run_uuid":"1cfc74aa-e333-46e9-b776-72f82ab26790"}'
- name: AZUREML_WORKSPACE_ID
value: 10400c14-9477-41ad-a935-e963d851654b
- name: AZUREML_EXPERIMENT_ID
value: e4360b71-5ba4-4789-8e0c-ab040462cc06
- name: AZUREML_RUN_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_EXPERIMENT_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml/experiments/tomasexperiment
- name: AZUREML_ROOT_RUN_ID
value: f4a6c5eb-1feb-49ff-9429-4ec15b15393c
- name: AZUREML_RUN_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw
- name: AZUREML_ARM_RESOURCEGROUP
value: azureml
- name: AZUREML_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_CR_COMPUTE_CONTEXT
value: '{"cluster_name":"k8s-compute","node_id":{"EnvironmentVariable":"POD_NAME"},"vm_id":null,"run_attempt_count":1,"gpu_count":0,"vm_size":null,"readable_cluster_name":null,"vm_priority":null,"use_vnet_or_private_link":false}'
- name: AZUREML_CR_DISTRIBUTED_CONFIG
value: '{"rank":"VK_TASK_INDEX","host_list":["azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local"[],"remote_grpc":{"Tcp":{"lifecycler_port":13333,"executor_port":13334}}}'
- name: AZUREML_CR_TELEMETRY_CONFIG
value: '{"collector":{"receiver":null,"exporter":{"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66"},"jaeger":null,"timeout_millis":null,"level":null}},"logger":{"console":null,"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66","level":"info","enabled":true},"file":{"extension":"log","level":"info","enabled":true}},"node_rank":"VK_TASK_INDEX","node_id":null,"disable_sensitive_scrub":null}'
- name: AZUREML_CR_GRPC_ADDRESS_BASE
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
- name: AZUREML_CR_DATA_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/data-capability:0
- name: AZUREML_CR_DATA_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
- name: AZUREML_CR_DATA_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-data-capability
- name: AZUREML_CR_CS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/cs-capability:0
- name: AZUREML_CR_CS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
- name: AZUREML_CR_CS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-cs-capability
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/hosttools-capability:0
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-hosttools-capability
- name: AZUREML_CR_EXECUTION_WORKING_DIR_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
- name: AZUREML_DATASET_FILE_OUTPUTS
value: Results_dataset
- name: AZUREML_PARAMETER_Select_Columns
value: '%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22AllColumns%22%7D%2C%7B%22exclude%22%3Atrue%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22normalized-losses%22%5D%7D%5D%7D'
- name: DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED
value: "true"
- name: AZUREML_PARAMETER_Node_Count
value: "1"
- name: DATASET_RSLEX_UPLOAD
value: "true"
- name: AZUREML_CR_CORRELATION_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_CR_LIFECYCLER_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
- name: POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
- name: POD_IP
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: status.podIP
- name: NODE_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: spec.nodeName
- name: NVIDIA_VISIBLE_DEVICES
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
key: VC_WORKER_HOSTS
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VC_WORKER_NUM
valueFrom:
configMapKeyRef:
key: VC_WORKER_NUM
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: mcr.microsoft.com/azureml/curated/designer:42
imagePullPolicy: Always
name: 1cfc74aae33346e9b77672f82ab26790-execution-wrapper
resources:
limits:
cpu: 600m
memory: "1610612736"
requests:
cpu: 600m
memory: "1610612736"
securityContext:
capabilities:
add:
- SYS_ADMIN
- IPC_LOCK
- SYS_PTRACE
- SYS_CHROOT
- AUDIT_WRITE
privileged: false
runAsUser: 0
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: FallbackToLogsOnError
volumeMounts:
- mountPath: /amlarc-hosts
name: amlarc-hosts
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-a3ec5951
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-b678f70c
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-77bc0027
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-ddcb583f
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-e3108668
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-72150f7f
- mountPath: /etc/podinfo
name: podinfo
- mountPath: /dev/shm
name: 1cfc74aae33346e9b77672f82ab26790-execution-wrapper-shm
- mountPath: /amlarc-runtime
name: amlarc-runtime
- mountPath: /amlarc-scripts
name: amlarc-scripts
readOnly: true
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- mountPath: /root/.ssh
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
dnsPolicy: ClusterFirst
enableServiceLinks: true
hostAliases:
- hostnames:
- 1cfc74aae33346e9b77672f82ab26790-data-capability
- 1cfc74aae33346e9b77672f82ab26790-cs-capability
- 1cfc74aae33346e9b77672f82ab26790-hosttools-capability
- 1cfc74aae33346e9b77672f82ab26790-lifecycler
- 1cfc74aae33346e9b77672f82ab26790-execution-wrapper
ip: 127.0.0.1
hostname: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0
imagePullSecrets:
- name: 1cfc74aae33346e9b77672f82ab26790-viennaglobal.azurecr.io
- name: 8b2821ccdc9c9fb818502c0e69b96572-imagepull-0-secrets
initContainers:
- args:
- cp $AZUREML_CR_EXECUTION_WRAPPER_BIN_PATH/* /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd;
ls -al /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
command:
- /bin/sh
- -c
env:
- name: AMLARC_NUM_GPU_PER_WORKER
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AML_JOB_ID
value: 8b2821ccdc9c9fb818502c0e69b96572
- name: POD_UID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.uid
- name: AMLARC_NUM_PS
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AMLARC_ROLE_INDEX_REGEX
value: '[a-zA-Z0-9\-]*-([a-zA-Z[]*)-([0-9[]*)'
- name: AZUREML_OBO_CANARY_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.LgInzjMVeUO-1vcr-hrK4KeYNvWlAI3rTwaTimQ9OmJcCYopbWYWg8_aVwUKvKa3goqoZJgs2UEUwgv19r_cyL-BR8v-4opIRJh68ZLUBJYPuVRK_qRQdM7OkJdU2PZugiBFYGSicG40xE1I80LjdnEcrJHRVQ0-UFNJvaWtu-HHpV_aKedQNClO4jZb9Dfoax63ZHw4C4e2f9GV7JTQ1v18SlXlyEHR8iSRg9p-cDnmiktBkctYs2VMIU_k57hNtq5fJS5zBetjlA9wYIHzOAER2CefogBWSXxBhGKTRlDX-ovIz3j9JE2H5BuNNhm2yEcucrB8oROVgGF2zcb-vQ
- name: AZUREML_OBO_ENABLED
value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: AZUREML_ARM_WORKSPACE_NAME
value: azureml
- name: AZUREML_ARM_SUBSCRIPTION
value: a0f4a733-4fce-4d49-b8a8-d30541fc1b45
- name: AZUREML_ARM_PROJECT_NAME
value: tomasexperiment
- name: AZUREML_DISCOVERY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms/discovery
- name: AZUREML_RUN_HISTORY_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_WORKSPACE_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml
- name: AZUREML_CR_AZUREML_CONTEXT
value: '{"subscription_id":"a0f4a733-4fce-4d49-b8a8-d30541fc1b45","resource_group":"azureml","workspace_name":"azureml","workspace_id":"10400c14-9477-41ad-a935-e963d851654b","service_endpoint":"https://westeurope.api.azureml.ms","discovery_endpoint":"https://westeurope.api.azureml.ms/discovery","experiment_name":"tomasexperiment","experiment_id":"e4360b71-5ba4-4789-8e0c-ab040462cc06","root_run_id":"f4a6c5eb-1feb-49ff-9429-4ec15b15393c","run_id":"89a01da5-907f-42a6-96e4-8d2e6a22c869","run_token":"eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw","run_history_service_endpoint":"https://westeurope.api.azureml.ms","data_container_id":"dcid.89a01da5-907f-42a6-96e4-8d2e6a22c869","run_uuid":"1cfc74aa-e333-46e9-b776-72f82ab26790"}'
- name: AZUREML_WORKSPACE_ID
value: 10400c14-9477-41ad-a935-e963d851654b
- name: AZUREML_EXPERIMENT_ID
value: e4360b71-5ba4-4789-8e0c-ab040462cc06
- name: AZUREML_RUN_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_EXPERIMENT_SCOPE
value: /subscriptions/a0f4a733-4fce-4d49-b8a8-d30541fc1b45/resourceGroups/azureml/providers/Microsoft.MachineLearningServices/workspaces/azureml/experiments/tomasexperiment
- name: AZUREML_ROOT_RUN_ID
value: f4a6c5eb-1feb-49ff-9429-4ec15b15393c
- name: AZUREML_RUN_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.cHnnpoI_EHjKn-u6Y-Xz_BrsiZtKs537uzH2HM9f4NrF2VJVt11HqcfAcVomHUZl6iTe5W-CJRhEotAOaHeyT-nrM3atWE3mbZEJ26-nBidbQ68o2-HfPcIr92aPjqjcnnMbcByztBfIFXiQjCpE4j7QzFNhewqM9jA74s9dMJ83jnIrAkEzULCsmKNsEv7Ng9seKE-dRySPyHZ2Qlqs62Qe_ewXrHW8oufa1gzeUVdJqxeysyoMhL9V2JyuwQ88Gr5OXQ3JUN0otE7Yut6ch6eIwDECMKbfFm-frPQrbQI7wwE8RqrFNEutaB9moCTvsMwHBceE0gTZSYyYYCYZpw
- name: AZUREML_ARM_RESOURCEGROUP
value: azureml
- name: AZUREML_SERVICE_ENDPOINT
value: https://westeurope.api.azureml.ms
- name: AZUREML_CR_COMPUTE_CONTEXT
value: '{"cluster_name":"k8s-compute","node_id":{"EnvironmentVariable":"POD_NAME"},"vm_id":null,"run_attempt_count":1,"gpu_count":0,"vm_size":null,"readable_cluster_name":null,"vm_priority":null,"use_vnet_or_private_link":false}'
- name: AZUREML_CR_DISTRIBUTED_CONFIG
value: '{"rank":"VK_TASK_INDEX","host_list":["azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-worker-0.azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572.azureml-workloads.svc.cluster.local"[],"remote_grpc":{"Tcp":{"lifecycler_port":13333,"executor_port":13334}}}'
- name: AZUREML_CR_TELEMETRY_CONFIG
value: '{"collector":{"receiver":null,"exporter":{"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66"},"jaeger":null,"timeout_millis":null,"level":null}},"logger":{"console":null,"appinsights":{"instrumentation_key":"fca5a4c9-adb4-44ae-bece-69e2cc91ff66","level":"info","enabled":true},"file":{"extension":"log","level":"info","enabled":true}},"node_rank":"VK_TASK_INDEX","node_id":null,"disable_sensitive_scrub":null}'
- name: AZUREML_CR_GRPC_ADDRESS_BASE
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
- name: AZUREML_CR_DATA_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/data-capability:0
- name: AZUREML_CR_DATA_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
- name: AZUREML_CR_DATA_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-data-capability
- name: AZUREML_CR_CS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/cs-capability:0
- name: AZUREML_CR_CS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
- name: AZUREML_CR_CS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-cs-capability
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_ADDRESS
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc/hosttools-capability:0
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
- name: AZUREML_CR_HOSTTOOLS_CAPABILITY_HOST
value: 1cfc74aae33346e9b77672f82ab26790-hosttools-capability
- name: AZUREML_CR_EXECUTION_WORKING_DIR_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
- name: AZUREML_DATASET_FILE_OUTPUTS
value: Results_dataset
- name: AZUREML_PARAMETER_Select_Columns
value: '%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22AllColumns%22%7D%2C%7B%22exclude%22%3Atrue%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22normalized-losses%22%5D%7D%5D%7D'
- name: DATASET_MOUNT_BLOCK_BASED_CACHE_ENABLED
value: "true"
- name: AZUREML_PARAMETER_Node_Count
value: "1"
- name: DATASET_RSLEX_UPLOAD
value: "true"
- name: AZUREML_CR_CORRELATION_ID
value: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- name: AZUREML_CR_LIFECYCLER_PATH
value: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
key: VC_WORKER_HOSTS
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VC_WORKER_NUM
valueFrom:
configMapKeyRef:
key: VC_WORKER_NUM
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: viennaglobal.azurecr.io/exe/execution-wrapper/installed:westeurope-stable
imagePullPolicy: Always
name: 1cfc74aae33346e9b77672f82ab26790-execution-wrapper-init
resources: {}
securityContext:
privileged: false
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/.grpc
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-a3ec5951
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/data-capability/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-b678f70c
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/cs-capability/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-77bc0027
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/hosttools-capability/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-ddcb583f
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/exe/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-e3108668
- mountPath: /tmp/azureml/cr/j/1cfc74aae33346e9b77672f82ab26790/cap/lifecycler/wd
mountPropagation: HostToContainer
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-72150f7f
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- mountPath: /root/.ssh
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
- command:
- sh
- /amlarc-init/init.sh
env:
- name: AMLARC_NUM_GPU_PER_WORKER
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AML_JOB_ID
value: 8b2821ccdc9c9fb818502c0e69b96572
- name: POD_UID
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.uid
- name: AMLARC_NUM_PS
value: "0"
- name: AMLARC_NUM_WORKER
value: "1"
- name: AMLARC_ROLE_INDEX_REGEX
value: '[a-zA-Z0-9\-]*-([a-zA-Z[]*)-([0-9[]*)'
- name: AZUREML_OBO_CANARY_TOKEN
value: eyJhbGciOiJSUzI1NiIsImtpZCI6IkUyQTBFNTU2RTNDNDZFQjg3QTA4RTJFMTBEMDFBQ0JDQ0UyN0QyRTMiLCJ0eXAiOiJKV1QifQ.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.LgInzjMVeUO-1vcr-hrK4KeYNvWlAI3rTwaTimQ9OmJcCYopbWYWg8_aVwUKvKa3goqoZJgs2UEUwgv19r_cyL-BR8v-4opIRJh68ZLUBJYPuVRK_qRQdM7OkJdU2PZugiBFYGSicG40xE1I80LjdnEcrJHRVQ0-UFNJvaWtu-HHpV_aKedQNClO4jZb9Dfoax63ZHw4C4e2f9GV7JTQ1v18SlXlyEHR8iSRg9p-cDnmiktBkctYs2VMIU_k57hNtq5fJS5zBetjlA9wYIHzOAER2CefogBWSXxBhGKTRlDX-ovIz3j9JE2H5BuNNhm2yEcucrB8oROVgGF2zcb-vQ
- name: AZUREML_OBO_ENABLED
value: "True"
- name: OBO_ENDPOINT
value: http://127.0.0.1:12342/token
- name: MSI_ENDPOINT
value: http://127.0.0.1:12342/token
- name: VC_WORKER_HOSTS
valueFrom:
configMapKeyRef:
key: VC_WORKER_HOSTS
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VC_WORKER_NUM
valueFrom:
configMapKeyRef:
key: VC_WORKER_NUM
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: VK_TASK_INDEX
value: "0"
- name: VC_TASK_INDEX
value: "0"
image: mcr.microsoft.com/azureml/amlarc/docker/init-container:1.1.6
imagePullPolicy: Always
name: init
resources: {}
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /amlarc-runtime
name: amlarc-runtime
- mountPath: /amlarc-scripts
name: amlarc-scripts
- mountPath: /etc/volcano
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- mountPath: /root/.ssh
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
subPath: .ssh
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: kube-api-access-vpq6k
readOnly: true
nodeName: aks-nodepool1-12594117-vmss000001
preemptionPolicy: PreemptLowerPriority
priority: 0
restartPolicy: Never
schedulerName: volcano
securityContext: {}
serviceAccount: amljobcontroller
serviceAccountName: amljobcontroller
subdomain: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572
terminationGracePeriodSeconds: 30
tolerations:
- effect: NoExecute
key: node.kubernetes.io/not-ready
operator: Exists
tolerationSeconds: 300
- effect: NoExecute
key: node.kubernetes.io/unreachable
operator: Exists
tolerationSeconds: 300
- effect: NoSchedule
key: node.kubernetes.io/memory-pressure
operator: Exists
volumes:
- configMap:
defaultMode: 420
items:
- key: hostfile
path: hostfile
- key: cluster_spec
path: cluster_spec
name: 8b2821ccdc9c9fb818502c0e69b96572
name: amlarc-hosts
- emptyDir: {}
name: 89a01da5-907f-42a6-96e4-8d2e6a22c869
- downwardAPI:
defaultMode: 420
items:
- fieldRef:
apiVersion: v1
fieldPath: metadata.labels
path: labels
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apiVersion: v1
fieldPath: metadata.annotations
path: annotations
name: podinfo
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medium: Memory
sizeLimit: "2147483648"
name: 1cfc74aae33346e9b77672f82ab26790-execution-wrapper-shm
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name: 89a01da5-907f-42a6-96e4-8d2e6a22c869--tmp-azureml-cr-j-72150f7f
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- emptyDir: {}
name: amlarc-scripts
- emptyDir: {}
name: amlarc-runtime
- configMap:
defaultMode: 511
name: 8b2821ccdc9c9fb818502c0e69b96572-lifecycle
name: lifecycle-cm
- name: runtoken
secret:
defaultMode: 420
secretName: 8b2821ccdc9c9fb818502c0e69b96572-runtoken-secrets
- configMap:
defaultMode: 420
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-svc
- name: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
secret:
defaultMode: 384
items:
- key: id_rsa
path: .ssh/id_rsa
- key: id_rsa.pub
path: .ssh/id_rsa.pub
- key: authorized_keys
path: .ssh/authorized_keys
- key: config
path: .ssh/config
secretName: azureml-workloads-8b2821ccdc9c9fb818502c0e69b96572-ssh
- name: kube-api-access-vpq6k
projected:
defaultMode: 420
sources:
- serviceAccountToken:
expirationSeconds: 3607
path: token
- configMap:
items:
- key: ca.crt
path: ca.crt
name: kube-root-ca.crt
- downwardAPI:
items:
- fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
path: namespace
status:
conditions:
- lastProbeTime: null
lastTransitionTime: "2022-07-12T06:35:57Z"
status: "True"
type: Initialized
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lastTransitionTime: "2022-07-12T06:35:40Z"
message: 'containers with unready status: [training-identity-sidecar 1cfc74aae33346e9b77672f82ab26790-lifecycler
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1cfc74aae33346e9b77672f82ab26790-hosttools-capability 1cfc74aae33346e9b77672f82ab26790-execution-wrapper]'
reason: ContainersNotReady
status: "False"
type: Ready
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lastTransitionTime: "2022-07-12T06:35:40Z"
message: 'containers with unready status: [training-identity-sidecar 1cfc74aae33346e9b77672f82ab26790-lifecycler
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reason: ContainersNotReady
status: "False"
type: ContainersReady
- lastProbeTime: null
lastTransitionTime: "2022-07-12T06:35:40Z"
status: "True"
type: PodScheduled
containerStatuses:
- image: viennaglobal.azurecr.io/cap/cs-capability/installed:westeurope-stable
imageID: ""
lastState: {}
name: 1cfc74aae33346e9b77672f82ab26790-cs-capability
ready: false
restartCount: 0
started: false
state:
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- image: viennaglobal.azurecr.io/cap/data-capability/installed:westeurope-stable
imageID: ""
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name: 1cfc74aae33346e9b77672f82ab26790-data-capability
ready: false
restartCount: 0
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state:
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- image: mcr.microsoft.com/azureml/curated/designer:42
imageID: ""
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ready: false
restartCount: 0
started: false
state:
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imageID: ""
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ready: false
restartCount: 0
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state:
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ready: false
restartCount: 0
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state:
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imageID: ""
lastState: {}
name: training-identity-sidecar
ready: false
restartCount: 0
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state:
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reason: PodInitializing
hostIP: 10.224.0.5
initContainerStatuses:
- containerID: containerd://e52fd60f40ac5987160bf63098ba14b0efa68a49c62b9a7241d36bf4959f5ca6
image: viennaglobal.azurecr.io/exe/execution-wrapper/installed:westeurope-stable
imageID: viennaglobal.azurecr.io/exe/execution-wrapper/installed@sha256:08e6b8d3cc056f2ab0a379b6c16bc672faa9a1435e33dbd05d0d949bee3a8ff4
lastState: {}
name: 1cfc74aae33346e9b77672f82ab26790-execution-wrapper-init
ready: true
restartCount: 0
state:
terminated:
containerID: containerd://e52fd60f40ac5987160bf63098ba14b0efa68a49c62b9a7241d36bf4959f5ca6
exitCode: 0
finishedAt: "2022-07-12T06:35:42Z"
reason: Completed
startedAt: "2022-07-12T06:35:42Z"
- containerID: containerd://02c4518a2e85078f5ab5acb1f1bc60e7e732a45a2540fc3869ed1e7b718b37e2
image: mcr.microsoft.com/azureml/amlarc/docker/init-container:1.1.6
imageID: mcr.microsoft.com/azureml/amlarc/docker/init-container@sha256:3f64fa8d8c40abfef7336f256a96851f58f5b561abc800e000b43b12bb14e079
lastState: {}
name: init
ready: true
restartCount: 0
state:
terminated:
containerID: containerd://02c4518a2e85078f5ab5acb1f1bc60e7e732a45a2540fc3869ed1e7b718b37e2
exitCode: 0
finishedAt: "2022-07-12T06:35:52Z"
reason: Completed
startedAt: "2022-07-12T06:35:52Z"
phase: Pending
podIP: 10.244.1.14
podIPs:
- ip: 10.244.1.14
qosClass: Burstable
startTime: "2022-07-12T06:35:40Z"
Všimněte si třeba ML_FLOW nastavení, kterými si AzureML sbírá metriky modelu a model samotný.
Do větší úrovně detailu asi teď nemá cenu chodit a nebylo to cílem. Přijde mi velmi zajímavé zjistit, že to co se v Azure ML děje je evidentně složité a dobře promyšlené a díky dnešní standardizaci jako je Kubernetes API a následně Volcano se dá takhle složitý šelmostroj rozběhat nad připojenými clustery nejen z Azure, ale odudkoli. Pokud se vám nechce s ničím babrat, použijte managed nody a hotovo, to dává obrovský smysl … ale pokud potřebujete hybridní přístup nebo vás prostě jen zajímá co se tam děje, takhle se tomu dá pod kapotu nádherně nahlédnout. A ten motor vypadá skvěle.
Tento příspěvek je licencován pod
CC BY 4.0
autorem.