GitLab

* refactor: README-zh-Hans

* refactor: REFERENCE

* docs: update paths in README

* add normalize function to value_head in bloom rm

* add normalization to value_function in gpt_rm

* add normalization to value_head of opt_rm

* add Anthropic/hh-rlhf dataset

* Update __init__.py

* Add LogExpLoss in RM training

* Update __init__.py

* update rm trainer to use acc as target

* update example/train_rm

* Update train_rm.sh

* code style

* Update README.md

* Update README.md

* add rm test to ci

* fix tokenier

* fix typo

* change batchsize to avoid oom in ci

* Update test_ci.sh

* [chatgpt] fix generation early stopping

* [chatgpt] fix train prompts example

* [lazyinit] fix shared module

* [tests] add lazy init test utils

* [tests] add torchvision for lazy init

* [lazyinit] fix pre op fn

* [lazyinit] handle legacy constructor

* [tests] refactor lazy init test models

* [tests] refactor lazy init test utils

* [lazyinit] fix ops don't support meta

* [tests] lazy init test timm models

* [lazyinit] fix set data

* [lazyinit] handle apex layers

* [tests] lazy init test transformers models

* [tests] lazy init test torchaudio models

* [lazyinit] fix import path

* [tests] lazy init test torchrec models

* [tests] update torch version in CI

* [tests] revert torch version in CI

* [tests] skip lazy init test

* [doc] update contribution guide

* [doc] update contribution guide

* [doc] add community contribution guide

* [booster] implemented mixed precision class

* polish code

* [tests] model zoo add torchaudio models

* [tests] refactor torchaudio wavernn

* [tests] refactor fx torchaudio tests

* [test] added torchvision models to test model zoo

* polish code

* polish code

* polish code

* polish code

* polish code

* polish code

* [tests] diffuser models in model zoo

* remove useless code

* [tests] add diffusers to requirement-test

* feat(docker): Add opencontainers image-spec to `Dockerfile`

This PR makes few changes to improve the overall quality of the docker image 🐳 . For reference more annotations can be found [here](https://github.com/opencontainers/image-spec/blob/main/annotations.md)

* feat(docker): add inline version declaration

* fix(docker): drop `org.opencontainers.image.version` LABEL

* [DTensor] refactor dtensor with new components

* polish

* [lazyinit] refactor lazy tensor and lazy init ctx

* [lazyinit] polish docstr

* [lazyinit] polish docstr

* [test] added timm models to test model zoo

* polish code

* polish code

* polish code

* polish code

* polish code

* [chatgpt]update ci

* Update test_ci.sh

* Update test_ci.sh

* Update test_ci.sh

* test

* Update train_prompts.py

* Update train_dummy.py

* add save_path

* polish

* add save path

* polish

* add save path

* polish

* delete bloom-560m test

delete bloom-560m test because of oom

* add ddp test

* refact memory code

* dont log free var memory

* add memory align

* update chunk target

* update setting for new memory

* finish test

* update tracer

* update typo

* update test

* add unet test

* add bench

* update bench

* update bench

* init

* support vit

* move to cpu

* add cpu benchmark

* fix train_dummy

* fix train-prompts

* fix gpt-actor

* fix gpt-critic

* fix opt-critic

Co-authored-by: github-actions <github-actions@github.com>

* [doc] add Intel cooperation for biomedicine

* fix colo-stratergy

* polish

* fix lora

* fix ddp

* polish

* polish

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* [kernel] added kernel loader to softmax autograd function

* [release] v0.2.6

* [hotfix] meta tensor default device.

* [siu] add experimental submodules to main branch.

* [siu]

* [siu]

* [analyzer] init.

* [analyzer] readme.

* [analyzer] readme.

* [analyzer] readme.

* [analyzer] readme.

* [test] add test.

* Update symbolic_trace.py

* mark skip tests.

* try except.

* try except.

* try except.

* s

* init

* init

* fix

* skip

* skip

---------
Co-authored-by: Daniel Shao <superdainiu@MININT-PVARVID.fareast.corp.microsoft.com>
Co-authored-by: Daniel Shao <superdainiu@Daniels-Mac.local>

support vit for autochunk
* support some new ops for vit
* fix some bugs
* add test for vit

1. Modify the README of stable diffusion
2. Fix the version of pytorch lightning&lightning and colossalai version to enable codes running successfully.

* [DTensor] refactor LayoutConverter for DTensor

* polish code

* polish docstring