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توضیحات

Set up a Kubernetes cluster for distributed AI research

ویژگی	مقدار
سیستم عامل	-
نام فایل	cloudwise-0.1.1
نام	cloudwise
نسخه کتابخانه	0.1.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Surreal AI
ایمیل نویسنده	-
آدرس صفحه اصلی	http://github.com/SurrealAI/cloudwise
آدرس اینترنتی	https://pypi.org/project/cloudwise/
مجوز	GPLv3

Cloudwise ========= | `Installation <#installation>`__ | `Usage <#usage>`__ | `FAQs <#faqs>`__ -------------- ``cloudwise`` is Surreal’s cloud infrastructure provisioner based on Terraform. Surreal’s `website <surreal.stanford.edu>`__ and `github <https://github.com/SurrealAI/Surreal>`__. It prepares a kubernetes cluster using terraform. It generates ``.tf.json`` files that are also recognized by `Symphony <https://github.com/SurrealAI/symphony>`__. Installation ============ - Cloud wise runs in python 3 - Do ``git clone git@github.com:SurrealAI/cloudwise.git && cd cloudwise`` - Run ``pip install -e .`` in this directory. - Install ``terraform`` following instructions `here <https://www.terraform.io/intro/getting-started/install.html>`__ - Install ``kubectl`` following instructions `here <https://kubernetes.io/docs/tasks/tools/install-kubectl/>`__ Usage ===== - (Optional, Recommended) Create and work in a clean directory as running terraform would generate relevant files. .. code:: bash > mkdir surreal > cd surreal Google Cloud ------------ - You first need to setup credentials for ``terraform`` to access google cloud. See guide `here <https://www.terraform.io/docs/providers/google/provider_reference.html>`__. Choose one of the two methods: - Run the following command .. code:: bash gcloud auth application-default login or - Go to the api key management page https://console.cloud.google.com/apis/credentials/serviceaccountkey and select **Create new service account**. You would need to give the service account sufficient permissions to do things properly. **Project editor** would suffice but is also more than enough. You can then generate and download the key, (*json* format is fine). Put the path to the ``.json`` file into the commandline argument when prompted. - Follow the instructions in the commandline tool. .. code:: bash > cloudwise-gke It will provide instructions and generate a ``<cluster_name>.tf.json`` file which terraform recognizes. If you have generated a ``.json`` credential file, you should provide it when prompted. \* ``terraform init && terraform plan`` describes changes to be made. \* ``terraform apply`` makes the changes to your cloud project. \* After cluster creation, obtain credentials for kubectl. .. code:: bash > gcloud container clusters get-credentials <cluster_name> - If you have GPUs in your cluster, create the daemon set to install drivers, see `documentation <https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#installing_drivers>`__. .. code:: bash > kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/stable/nvidia-driver-installer/cos/daemonset-preloaded.yaml - The generated ``<cluster_name>.tf.json`` is also recognized by `Symphony <https://github.com/SurrealAI/symphony>`__\ ’s scheduling mechanism and ``Surreal``. So you may want to link to it - If you want to remove everything, run ``terraform destroy`` AWS --- Stay tuned Azure ----- Stay tuned FAQs: ===== - Terraform install fails. - If you are seeing error: ``... API has not been used in project...``: during ``terraform apply``, go to the Kubernetes Engine tab and/or Compute Engine tab on your google cloud console to enable their APIs. - GPU nodes are not scaling up. - Check if the driver installation daemon set is running (see `documentation <https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#installing_drivers>`__).

زبان مورد نیاز

مقدار	نام
>=3.5	Python

نحوه نصب

نصب پکیج whl cloudwise-0.1.1:

pip install cloudwise-0.1.1.whl

نصب پکیج tar.gz cloudwise-0.1.1:

pip install cloudwise-0.1.1.tar.gz