我试图使用devops管道在AI平台(https://cloud.google.com/ai-platform/notebooks/docs/create-new)上创建一个木星笔记本,为此,我需要gcloud命令来创建一个木星笔记本,但是我在GCP文档中找不到。有人能帮上忙吗?
发布于 2019-09-25 13:16:38
这个命令还不存在。如果愿意,可以创建一个datalab VM。如果你真的想在datalab环境下使用笔记本电脑,我会深入研究它。
在浏览器中,我激活了开发人员模式,进入了网络部分,创建了一个笔记本实例。我在post HTTP中发现了这个
URL:
https://clients6.google.com/compute/v1/projects/gbl-imt-homerider-basguillaueb/zones/us-west1-b/instances?key=<API KEY>
Post Content:
{
"name": "tensorflow-20190925-144402",
"machineType": "zones/us-west1-b/machineTypes/n1-standard-4",
"guestAccelerators": [],
"metadata": {
"items": [
{
"key": "proxy-mode",
"value": "service_account"
}
]
},
"disks": [
{
"boot": true,
"autoDelete": true,
"initializeParams": {
"diskType": "zones/us-west1-b/diskTypes/pd-standard",
"diskSizeGb": "100",
"sourceImage": "projects/deeplearning-platform-release/global/images/family/tf-1-14-cu100-notebooks"
}
}
],
"scheduling": {
"onHostMaintenance": "TERMINATE"
},
"networkInterfaces": [
{
"subnetwork": "https://www.googleapis.com/compute/v1/projects/gbl-imt-homerider-basguillaueb/regions/us-west1/subnetworks/datalab-network",
"accessConfigs": [
{
"name": "external-nat",
"type": "ONE_TO_ONE_NAT"
}
]
}
],
"serviceAccounts": [
{
"email": "default",
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/userinfo.email"
]
}
],
"tags": {
"items": [
"deeplearning-vm"
]
}
}我把它翻译成一个gcloud命令行。只有NAT部分不存在,我不知道影响以及如何在命令行中这样做
gcloud beta compute instances create test --zone=us-west1-b --machine-type="n1-standard-4" \
--boot-disk-type="pd-standard" --boot-disk-size=100 \
--image="projects/deeplearning-platform-release/global/images/family/tf-1-14-cu100-notebooks" \
--metadata="proxy-mode=service_account" --tags=deeplearning-vm --boot-disk-auto-delete \
--maintenance-policy=TERMINATE --scopes="https://www.googleapis.com/auth/cloud-platform","https://www.googleapis.com/auth/userinfo.email" 我测试了部署,它有效,VM出现在笔记本部分。我希望这能帮上忙。
发布于 2019-09-25 10:03:37
您应该运行以下命令:
gcloud beta dataproc clusters create <cluster-name> \
--optional-components=ANACONDA,JUPYTER \
--image-version=1.3 \
--enable-component-gateway \
--bucket <bucket-name> \
--project <project-id>在运行该命令之前,请查看这教程,以确保您已经正确设置了环境。
https://stackoverflow.com/questions/58095699
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