[PPML] Reorg Readthedoc tutorial & menu (#6476)

* Change User Guide to Introduction
* Add Installation
* Refine toc and examples
* Refine title
* Add FAQs for Installation
This commit is contained in:
Qiyuan Gong 2022-11-08 16:26:59 +08:00 committed by GitHub
parent 8b41130ca0
commit 0a49cd03bf
6 changed files with 85 additions and 13 deletions

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@ -221,29 +221,30 @@ subtrees:
- entries:
- file: doc/PPML/Overview/intro
title: "PPML Introduction"
- file: doc/PPML/Overview/userguide
title: 'User Guide'
- file: doc/PPML/Overview/install
title: 'Installation'
- file: doc/PPML/Overview/examples
title: "Tutorials"
subtrees:
- entries:
- file: doc/PPML/Overview/quicktour
- file: doc/PPML/QuickStart/end-to-end
- file: doc/PPML/Overview/azure_ppml
- file: doc/PPML/Overview/misc
title: "Advanced Topics"
subtrees:
- entries:
- file: doc/PPML/Overview/ppml
- file: doc/PPML/Overview/devguide
- file: doc/PPML/Overview/trusted_big_data_analytics_and_ml
- file: doc/PPML/Overview/trusted_fl
- file: doc/PPML/QuickStart/secure_your_services
- file: doc/PPML/QuickStart/deploy_ppml_in_production
- file: doc/PPML/QuickStart/install_sgx_driver
- file: doc/PPML/QuickStart/deploy_intel_sgx_device_plugin_for_kubernetes
- file: doc/PPML/QuickStart/trusted-serving-on-k8s-guide
- file: doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s
- file: doc/PPML/QuickStart/tpc-ds_with_sparksql_on_k8s
- file: doc/PPML/QuickStart/deploy_ppml_in_production
- file: doc/PPML/Overview/azure_ppml
- file: doc/PPML/Overview/azure_ppml_occlum
- entries:

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@ -3,6 +3,8 @@ Tutorials & Examples
* `A Hello World Example <../Overview/quicktour.html>`__ is a very simple exmaple for getting started.
* `PPML e2e Example <../QuickStart/end-to-end.html>`__ introduces the end-to-end PPML workflow using SimpleQuery as an example.
* `PPML E2E Example <../QuickStart/end-to-end.html>`__ introduces the end-to-end PPML workflow using SimpleQuery as an example.
* `PPML E2E Example on Azure <../Overview/azure_ppml.html>`__ introduces the end-to-end PPML workflow on Azure Cloud using TPC-H as an example.
* You can also find Trusted Data Analysis, Trusted ML, Trusted DL and Trusted FL examples in `more examples <https://github.com/intel-analytics/BigDL/tree/main/ppml/docs/examples.md>`__.

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@ -0,0 +1,70 @@
# PPML Installation
---
#### OS requirement
```eval_rst
.. note::
**Hardware requirements**:
Intel SGX: PPML's features (except Homomorphic Encryption) are mainly built upon Intel SGX. Intel SGX requires Intel CPU with SGX feature, e.g., IceLake (3rd Xeon Platform). `Check if your CPU has SGX feature <https://www.intel.com/content/www/us/en/support/articles/000028173/processors.html>`_
```
```eval_rst
.. note::
**Supported OS**:
PPML is thoroughly tested on Ubuntu (18.04/20.04), and should works fine on CentOS/Redhat 8.
```
#### Enable SGX for your Cluster
```eval_rst
.. mermaid::
graph TD
usesgx{Use SGX?} -- Yes --> installsgx(Install SGX Driver for Node)
usesgx{Use SGX?} -- No --> he(Homomorphic Encryption)
installsgx --> installaesm(Install AESM for Node)
installaesm --> needatt{Need Attestation?}
needatt -- Yes --> installPCCS(Install PCCS for Cluster)
```
##### Install SGX Driver
Please refer to [Install SGX (Software Guard Extensions) Driver for Xeon Server](https://bigdl.readthedocs.io/en/latest/doc/PPML/QuickStart/install_sgx_driver.html).
##### Install AESM
```bash
echo 'deb [arch=amd64] https://download.01.org/intel-sgx/sgx_repo/ubuntu focal main' | sudo tee /etc/apt/sources.list.d/intel-sgx.list > /dev/null
wget -O - https://download.01.org/intel-sgx/sgx_repo/ubuntu/intel-sgx-deb.key | sudo apt-key add -
sudo apt update
sudo apt-get install libsgx-urts libsgx-dcap-ql libsgx-dcap-default-qpl
```
##### Install PCCS (for attestation)
Please refer to [Intel® Software Guard Extensions Data Center Attestation Primitives (Intel® SGX DCAP): A Quick Install Guide](https://www.intel.com/content/www/us/en/developer/articles/guide/intel-software-guard-extensions-data-center-attestation-primitives-quick-install-guide.html)
##### Install Kubernetes SGX Plugin (K8S only)
Please refer to [Deploy the Intel SGX Device Plugin for Kubernetes](https://bigdl.readthedocs.io/en/latest/doc/PPML/QuickStart/deploy_intel_sgx_device_plugin_for_kubernetes.html).
### FAQs
1. Is SGX supported on CentOS 6/7?
No. Please upgrade your OS if possible.
2. Do we need Internet connection for SGX node?
No. We can use PCCS for registration and certificates downloading. Only PCCS need Internet connection.
3. Does PCCS requires SGX?
No. PCCS can be installed on any server with Internet connection.
4. Can we turn off attestation?
Of course. But, urnning off attestation will break integrity provided by SGX. Attestation is turned off to simplify installation for quick start.

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@ -1,16 +1,15 @@
Advanced Topic
====================
* `Privacy Preserving Machine Learning (PPML) User Guide <ppml.html>`_
* `PPML User Guide <ppml.html>`_
* `Develop your own Big Data & AI applications with BigDL PPML <devguide.html>`_
* `Trusted Big Data Analytics and ML <trusted_big_data_analytics_and_ml.html>`_
* `Trusted FL (Federated Learning) <trusted_fl.html>`_
* `Secure Your Services <../QuickStart/secure_your_services.html>`_
* `Deploy PPML (Privacy Preserving Machine Learning) Applications in the Production Environment <../QuickStart/deploy_ppml_in_production.html>`_
* `Install SGX Driver through the Installation Package <../QuickStart/install_sgx_driver.html>`_
* `Deploy PPML Applications in the Production Environment <../QuickStart/deploy_ppml_in_production.html>`_
* `Install SGX Driver for Xeon Server <../QuickStart/install_sgx_driver.html>`_
* `Deploy the Intel SGX Device Plugin for Kubernetes <../QuickStart/deploy_intel_sgx_device_plugin_for_kubernetes.html>`_
* `Trusted Cluster Serving with Graphene on Kubernetes <../QuickStart/trusted-serving-on-k8s-guide.html>`_
* `TPC-H with Trusted SparkSQL on Kubernetes <../QuickStart/tpc-h_with_sparksql_on_k8s.html>`_
* `TPC-DS with Trusted SparkSQL on Kubernetes <../QuickStart/tpc-ds_with_sparksql_on_k8s.html>`_
* `Privacy Preserving Machine Learning (PPML) on Azure User Guide <azure_ppml.html>`_
* `BigDL-PPML-Azure-Occlum-Example <azure_ppml_occlum.html>`_
* `PPML on Azure with Occlum <azure_ppml_occlum.html>`_

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@ -18,7 +18,7 @@ Protecting privacy and confidentiality is critical for large-scale data analysis
+++
:bdg-link:`Introduction <./Overview/intro.html>` |
:bdg-link:`Installation <./Overview/install.html>` |
:bdg-link:`Hello World Example <./Overview/quicktour.html>`
@ -31,7 +31,7 @@ Protecting privacy and confidentiality is critical for large-scale data analysis
+++
:bdg-link:`User Guide <./Overview/userguide.html>` |
:bdg-link:`Introduction <./Overview/intro.html>` |
:bdg-link:`Advanced Topics <./Overview/misc.html>`