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/assets/architecture.svg

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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

@@ -15,11 +15,11 @@ This blog is to introduce [SuperBench](https://github.com/microsoft/superbenchma
 
 ### Easy-to-use CLI
 
-In order to provide good user experience, SuperBench provides a command line interface to help users deploy and run benchmarks. 
-Empowered by SuperBench CLI, user can deploy and run their benchmarks with only one command, which greatly shorten the learning curve of using tools, 
+In order to provide good user experience, SuperBench provides a command line interface to help users deploy and run benchmarks.
+Empowered by SuperBench CLI, user can deploy and run their benchmarks with only one command, which greatly shorten the learning curve of using tools,
 to help user easily evaluate the performance of AI workload.
 
-Below is a simple example to show how to deploy and run benchmarks locally. For more information, 
+Below is a simple example to show how to deploy and run benchmarks locally. For more information,
 please view [CLI Document](https://microsoft.github.io/superbenchmark/docs/cli)
 
 1. Deploy
@@ -48,9 +48,9 @@ For more information, please view [configuration](https://microsoft.github.io/su
 
 1. Executor Framework
 
-  In order to facilitate the benchmarking and validation on large-scale clusters, we designed and implemented a modular and extensible framework. 
-  SuperBench framework includes a runner as control node, as well as multiple executors as worker nodes. 
-  A runner received commands from CLI and distribute to all nodes (worker nodes) in the cluster, collect data, and summarize the results. 
+  In order to facilitate the benchmarking and validation on large-scale clusters, we designed and implemented a modular and extensible framework.
+  SuperBench framework includes a runner as control node, as well as multiple executors as worker nodes.
+  A runner received commands from CLI and distribute to all nodes (worker nodes) in the cluster, collect data, and summarize the results.
   Each worker will run executor to execute the specified benchmark tasks.
 
   ![SuperBench Executor Workflow](../../docs/assets/executor_workflow.png)
@@ -88,7 +88,7 @@ SuperBench supports a set of benchmarks listed as below.
   * BERT models
   * GPT-2 models
 
-For the details of each benchmark, please view [micro-benchmarks](https://microsoft.github.io/superbenchmark/docs/benchmarks/micro-benchmarks.md) 
+For the details of each benchmark, please view [micro-benchmarks](https://microsoft.github.io/superbenchmark/docs/benchmarks/micro-benchmarks.md)
 and [model-benchmarks](https://microsoft.github.io/superbenchmark/docs/benchmarks/model-benchmarks.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:
 
@@ -111,4 +111,4 @@ With SuperBench and its extensions, we can support:
 
 ## Call for Contributor
 
-This project welcomes contributions and suggestions. 
+This project welcomes contributions and suggestions.

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",