GitLab

__Description__

Upgrade version and release note.

__Major Revision__

- Upgrade package versions
- Add release note for v0.4.0

**Description**
Add ONNXRuntime inference benchmark based on ORT python API.

**Major Revision**
- Add `ORTInferenceBenchmark` class to export pytorch model to onnx model and do inference
- Add tests and example for `ort-inference` benchmark
- Update the introduction docs.

**Description**
Add basic analysis features.

**Major Revision**
- Add statistics, correlations of the raw data
- Add numeric outlier detection(inter_quartile_range)
- Add boxplot for selected metric

**Description**
Add data diagnosis module.

**Major Revision**
- Add DataDiagnosis class to support rule-based data diagnosis for result summary jsonl file of multi nodes
- Add RuleOp class to define rule operators

**Description**
Add tcp connectivity validation microbenchmark which is to validate TCP connectivity between current node and several nodes in the hostfile.

**Major Revision**
- Add tcp connectivity validation microbenchmark and related test, example

**Description**
Add script to generate system config info.

**Major Revision**
- Add script to generate system config info into the dict in superbench/tools.

**Description**
change the minimal version requirement for superbench:
```
'torch>=1.7.0a0',
'torchvision>=0.8.0a0',
```

**Description**
Generate the summarized output files from all nodes. For each metric, do the reduce operation according to the `reduce_op`

**Major Revision**
- Generate the summarized json file per node:
For microbenchmark, the format is `{benchmark_name}/[{run_count}/]{metric_name}[:rank]`
For modelbenchmark, the format is `{benchmark_name}/{sub_benchmark_name}/[{run_count}/]{metric_name}`
`[]` means optional.
```
{
  "kernel-launch/overhead_event:0": 0.00583,
  "kernel-launch/overhead_event:1": 0.00545,
  "kernel-launch/overhead_event:2": 0.00581,
  "kernel-launch/overhead_event:3": 0.00572,
  "kernel-launch/overhead_event:4": 0.00559,
  "kernel-launch/overhead_event:5": 0.00591,
  "kernel-launch/overhead_event:6": 0.00562,
  "kernel-launch/overhead_event:7": 0.00586,
  "resnet_models/pytorch-resnet50/steptime-train-float32": 544.0827468410134,
  "resnet_models/pytorch-resnet50/throughput-train-float32": 353.7607016465773,
  "resnet_models/pytorch-resnet50/steptime-train-float16": 425.40482617914677,
  "resnet_models/pytorch-resnet50/throughput-train-float16": 454.0142363793973,
  "pytorch-sharding-matmul/0/allreduce": 10.561786651611328,
  "pytorch-sharding-matmul/1/allreduce": 10.561786651611328,
  "pytorch-sharding-matmul/0/allgather": 10.088025093078613,
  "pytorch-sharding-matmul/1/allgather": 10.088025093078613
}
```
- Generate the summarized jsonl file for all nodes, each line is the result from one node in json format.

* Add `sb deploy` command content.
* Fix inline if-expression syntax in playbook.
* Fix quote escape issue in bash command.
* Add custom env in config.
* Update default config for multi GPU benchmarks.
* Update MANIFEST.in to include jinja2 template.
* Require jinja2 minimum version.
* Fix occasional duplicate output in Ansible runner.
* Fix mixed color from Ansible and Python colorlog.
* Update according to comments.
* Change superbench.env from list to dict in config file.

Fix bugs and refine log in single GPU benchmarks:

* Fix none framework issue
* Fix empty parameter bug
* Remove missed mobilenet_v3 models
* Change benchmark registration log to debug level
* Add pid in logging
* Add missing benchmarks in default config
* Fix deprecated logging warn

* Support local mode in runner.

Implement ansible client and runner:
* add ansible client
* add deploy and check_env playbooks

* use absolute path of input file
* parse registry uri from image
* merge common parts for arguments processing

* CLI integration with Executor and Runner

* add cuda11.1.1 dockerfile

Update logger class.
* add file handler along with stream handler
* add colored formatter

Use omegaconf to replace hydra for configuration system:
* remove hydra
* use omegaconf to merge configurations

- Add CLI commands
  * sb version
  * sb deploy
  * sb exec
  * sb run
- Add interface with executor and runner
- Add cli test cases

* add random dataset.

* install pytorch-cpu for test docker.

* fix typo

* add more test cases.

* address comments.
Co-authored-by: Guoshuai Zhao <guzhao@microsoft.com>

Add code coverage configuration.

Initialize README.md and update SUPPORT.md, update
* project description
* installation
* usage
* developer guide
* add dependencies version requirement

Update some lint rules, including:
* change max line length from 79 to 120, following [pytorch]
* add dedent_closing_brackets in yapf
* remove typed def requirements in mypy

Fix return code bug in setup.py, when lint/test command return 1,
`os.system` will return 256 and `sys.exit(256)` will get return code 0.

[pytorch]: https://github.com/pytorch/pytorch/blob/d1dcd5f/.flake8#L3

Initialize setup.py and basic configurations for this project.

Major revisions:

- initialize setup.py for Python package
- add gitignore and dockerignore
- add editorconfig for editors
- configure yapf for auto formating
- configure mypy for type hint
- configure flake8 for lint, including quotes and docstrings
- add pre-commit check for `git commit`
- add spelling check in GitHub Actions
- format existing files according to configured rules

Example usage:

    # install dependencies
    $ python3 -m pip install -e .[dev,test]
    $ pre-commit install

    # format code automatically
    $ python3 setup.py format

    # lint code
    $ python3 setup.py lint

    # test code
    $ python3 setup.py test