GitLab

* [amp] add gradient clipping in unit tests

* fix bugs

* [autoparallel] record parameter attribute in collotracer

* [autoparallel] fix construct_meta_info bug

* [fx] metainfo class for auto parallel

* [fx] add unit test for linear metainfo

* [fx] fix bwd param for linear

* [fx] modify unit test

* [fx] modify unit test

* [fx] modify import

* [fx] modify import

* [fx] modify import

* [fx] move meta profiler to auto parallel

* [fx] add conv metainfo class

* [fx] restore profiler

* [fx] restore meta profiler

* [autoparallel] modify unit test

* [fx] modify unit test

* [autoparallel] add batchnorm metainfo class

* [autoparallel] fix batchnorm unit test function declaration

* [fx] restore profiler

* [fx] add relu metainfo class

* [fx] restore profiler

* [autoparallel] modify metainfo input

* [autoparallel] add pooling metainfo

* [autoparallel] add F.linear metainfo generator

* [autoparallel] add binary elementwise metainfo

* [fx] recover profiler

* [autoparallel] fix forward memory calculation

* [autoparallel] modify constants.py

* [autoparallel] remove redundant print

* [autoparallel] add F.conv metainfo

* [autoparallel] linear fix

* [autoparallel] memory estimation for communication actions

* [autoparallel] fix docstring

* [autoparallel] fix variables name

* [autoparallel] attach tensor to metainfo class

* [autoparallel] fix dangerous try except

* [autoparallel] attach memory cost to shape consistency node

* [autoparallel] attach shape consistency node's metainfo to the node

* [autoparallel] remove todo in shape consistency memory estimation

* [autoparallel] fix the annotation

* [testing] add beit model

* [beit] fix bugs

* [beit] fix bugs

* [testing] fix bugs

* [zero] fix error for BEiT models

* [ColoParameter] add unpack operation for tuple arguments

* fix bugs

* fix chunkv2 unit testing

* add assertion for gradient state

* [autoparallel] integrate_gpt_related_tests

* polish code

* polish code

* add GPT2Model into runtime test

* [optimizer] add div_scale for optimizers

* [zero] use div_scale in zero optimizer

* fix testing error

* add bwd and step for PP middleware

* pre-commit
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>

* [zero] add L2 gradient clipping

* [testing] add MlpModel

* [zero] add unit test for grad clipping

* fix atol

* add DAG test case

* fix datarace by adjusting theposition of lock

* polish code

* fix pytest for middleware

* remove test
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>