Docs - Update README and version for v0.2.0 release (#111)

Update README and version for v0.2 release.

README.md

 # SuperBench
 
-[![MIT licensed](https://img.shields.io/badge/license-MIT-brightgreen.svg)](LICENSE)
-[![Lint](https://github.com/microsoft/superbenchmark/workflows/Lint/badge.svg)](https://github.com/microsoft/superbenchmark/actions?query=workflow%3ALint)
+[![Build Image](https://github.com/microsoft/superbenchmark/workflows/Build%20Image/badge.svg)](https://github.com/microsoft/superbenchmark/actions/workflows/build-image.yml)
 [![Codecov](https://codecov.io/gh/microsoft/superbenchmark/branch/main/graph/badge.svg?token=DDiDLW7pSd)](https://codecov.io/gh/microsoft/superbenchmark)
+[![Website](https://img.shields.io/website?down_color=lightgrey&url=https%3A%2F%2Faka.ms%2Fsuperbench)](https://aka.ms/superbench)
+[![Latest Release](https://img.shields.io/github/release/microsoft/superbenchmark.svg)](https://github.com/microsoft/superbenchmark/releases/latest)
+[![Docker Pulls](https://img.shields.io/docker/pulls/superbench/superbench.svg)](https://hub.docker.com/r/superbench/superbench/tags)
+[![License](https://img.shields.io/github/license/microsoft/superbenchmark.svg)](LICENSE)
 
 | Azure Pipelines | Build Status |
 | :---: | :---: |
-| cpu-unit-test | [![Build Status](https://dev.azure.com/msrasrg/SuperBenchmark/_apis/build/status/microsoft.superbenchmark?branchName=main)](https://dev.azure.com/msrasrg/SuperBenchmark/_build/latest?definitionId=77&branchName=main) |
-| gpu-unit-test | [![Build Status](https://dev.azure.com/msrasrg/SuperBenchmark/_apis/build/status/cuda-unit-test?branchName=main)](https://dev.azure.com/msrasrg/SuperBenchmark/_build/latest?definitionId=80&branchName=main) |
+| cpu-unit-test | [![Build Status](https://dev.azure.com/msrasrg/SuperBenchmark/_apis/build/status/cpu-unit-test?branchName=main)](https://dev.azure.com/msrasrg/SuperBenchmark/_build/latest?definitionId=77&branchName=main) |
+| cuda-unit-test | [![Build Status](https://dev.azure.com/msrasrg/SuperBenchmark/_apis/build/status/cuda-unit-test?branchName=main)](https://dev.azure.com/msrasrg/SuperBenchmark/_build/latest?definitionId=80&branchName=main) |
+| ansible-integration-test | [![Build Status](https://dev.azure.com/msrasrg/SuperBenchmark/_apis/build/status/ansible-integration-test?branchName=main)](https://dev.azure.com/msrasrg/SuperBenchmark/_build/latest?definitionId=82&branchName=main) |
 
 __SuperBench__ is a validation and profiling tool for AI infrastructure.
 
-_Check SuperBench website for more details._
+📢 [v0.2.0](https://github.com/microsoft/superbenchmark/releases/tag/v0.2.0) has been released!
+
+## _Check [aka.ms/superbench](https://aka.ms/superbench) for more details._
 
 ## Trademarks
 

docs/getting-started/configuration.md

@@ -80,14 +80,26 @@ superbench:
       parameters:
         <<: *common_model_config
         batch_size: 128
-    cnn_models:
+    resnet_models:
       <<: *default_pytorch_mode
       models:
         - resnet50
         - resnet101
         - resnet152
+      parameters:
+        <<: *common_model_config
+        batch_size: 128
+    densenet_models:
+      <<: *default_pytorch_mode
+      models:
         - densenet169
         - densenet201
+      parameters:
+        <<: *common_model_config
+        batch_size: 128
+    vgg_models:
+      <<: *default_pytorch_mode
+      models:
         - vgg11
         - vgg13
         - vgg16
@@ -99,26 +111,24 @@ superbench:
 
 By default, all benchmarks in default configuration will be run if you don't specify customized configuration.
 
-If you want to have a quick try, you can modify this config a little bit. For example, only run resnet models.
+If you want to have a quick try, you can modify this config a little bit. For example, only run resnet101 model.
 1. copy the default config to a file named `resnet.yaml` in current path.
   ```bash
   cp superbench/config/default.yaml resnet.yaml
   ```
-2. enable only `cnn_models` in the config and remove other models except resnet under `benchmarks.cnn_models.models`.
-  ```yaml {3,10-13} title="resnet.yaml"
+2. enable only `resnet_models` in the config and remove other models except resnet101 under `benchmarks.resnet_models.models`.
+  ```yaml {3,11} title="resnet.yaml"
   # SuperBench Config
   superbench:
-    enable: ['cnn_models']
+    enable: ['resnet_models']
     var:
   # ...
   # omit the middle part
   # ...
-      cnn_models:
+      resnet_models:
         <<: *default_pytorch_mode
         models:
-          - resnet50
           - resnet101
-          - resnet152
         parameters:
           <<: *common_model_config
           batch_size: 128

docs/getting-started/installation.md

@@ -54,6 +54,12 @@ deactivate
 
 You can clone the source from GitHub and build it.
 
+:::note Note
+You should checkout corresponding tag to use release version, for example,
+
+`git clone -b v0.2.0 https://github.com/microsoft/superbenchmark`
+:::
+
 ```bash
 git clone https://github.com/microsoft/superbenchmark
 cd superbenchmark

docs/getting-started/run-superbench.md

@@ -24,6 +24,12 @@ or your private key requires a passphase before use, you can do
 sb deploy -f remote.ini --host-password [password]
 ```
 
+:::note Note
+You should deploy corresponding Docker image to use release version, for example,
+
+`sb deploy -f local.ini -i superbench/superbench:v0.2.0-cuda11.1.1`
+:::
+
 ## Run
 
 After deployment, you can start to run the SuperBench benchmarks on all managed nodes using `sb run` command.

docs/introduction.md

@@ -26,4 +26,4 @@ as well as model-benchmark to measure domain-aware end-to-end deep learning work
 
 The following figure shows the capabilities provided by SuperBench core framework and its extension.
 
-![SuperBench Structure](./assets/architecture.png)
+![SuperBench Structure](./assets/architecture.svg)

superbench/__init__.py

@@ -6,5 +6,5 @@
 Provide hardware and software benchmarks for AI systems.
 """
 
-__version__ = '0.0.0'
+__version__ = '0.2.0'
 __author__ = 'Microsoft'

superbench/config/azure_ndv4.yaml

 # SuperBench Config
+version: v0.2
 superbench:
   enable: null
   var:

superbench/config/default.yaml

 # SuperBench Config
+version: v0.2
 superbench:
   enable: null
   var:

website/blog/2021-06-24-introduce-superbench.md

@@ -96,7 +96,7 @@ and [model-benchmarks](https://microsoft.github.io/superbenchmark/docs/benchmark
 
 We want to extend SuperBench capability to distributed validation and auto-diagnosis, to build a benchmarking eco-system.
 The following figure shows the whole picture.
-![SuperBench Capabilities and Extension](../../docs/assets/architecture.png)
+![SuperBench Capabilities and Extension](../../docs/assets/architecture.svg)
 
 With SuperBench and its extensions, we can support:
 

website/docusaurus.config.js

@@ -101,6 +101,7 @@ module.exports = {
     announcementBar: {
       id: 'supportus',
       content:
+        '📢 <a href="https://microsoft.github.io/superbenchmark/blog/release-sb-v0.2">v0.2</a> has been released! ' +
         '⭐️ If you like SuperBench, give it a star on <a target="_blank" rel="noopener noreferrer" href="https://github.com/microsoft/superbenchmark">GitHub</a>! ⭐️',
     },
     prism: {

website/package-lock.json

 {
   "name": "superbench-website",
-  "version": "0.0.0",
+  "version": "0.2.0",
   "lockfileVersion": 1,
   "requires": true,
   "dependencies": {

website/package.json

 {
   "name": "superbench-website",
-  "version": "0.0.0",
+  "version": "0.2.0",
   "private": true,
   "scripts": {
     "docusaurus": "docusaurus",