GitLab

* remove examples folder

* added examples as submodule

* update .gitmodules

* remove benchmark folder

* added benchmark submodule

* update .gitmodules

Update the documentations of layer integration

Update _log_hook.py

Update _operation.py

* enable CI after PR sync

* Fixed github action

* add pipeline shared module wrapper and update load batch

* added model parallel process group for amp and clip grad (#86)

* added model parallel process group for amp and clip grad

* update amp and clip with model parallel process group

* remove pipeline_prev/next group (#88)

* micro batch offload

* optimize pipeline gpu memory usage

* pipeline can receive tensor shape (#93)

* optimize pipeline gpu memory usage

* fix grad accumulation step counter

* rename classes and functions
Co-authored-by: Frank Lee <somerlee.9@gmail.com>

* optimized 1d layer apis; reorganized nn.layer modules; fixed tests

* fixed 2.5d runtime issue

* reworked split batch, now called in trainer.schedule.load_batch
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>

* integrated parallel layers for ease of building models

* integrated 2.5d layers

* cleaned codes and unit tests

* added log metric by step hook; updated imagenet benchmark; fixed some bugs

* reworked initialization; cleaned codes
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>

* add example of self-supervised SimCLR training

* simclr v2, replace nvidia dali dataloader

* updated

* sync to latest code writing style

* sync to latest code writing style and modify README

* detail README & standardize dataset path