* adaptive expand op to 2.0 (align to torch.expand) , test=develop

test=develop

* expose and unify the Tensor concepts to the user

* expose tensor to user

* add copy place for Tensor

* add copy place for Tensor

* add note

* add macro PADDLE_WITH_CUDA

* remove RUN_TYPE=DIST

* fix some error

* add tile_op, test=develop

* add Class KLDivLoss and function kl_div

* show deprecation warning once

* add some notes

* remove unused module

* test=develop, bug fix for test_dist_fleet_ctr

* add paddle.nn.functional.mse_loss

* add name

* fix conflict

* Upgrade `no_grad` decorator

test=develop

- match torch decorator usage (i.e., with parenthesis)
- handle generator functions
- add `paddle.no_grad` alias

* Switch from `functools` to `decorator`

preserves signature

* Reword decorator usage note

* add unittest for paddlerolemaker with gloo

* fix the doc of inverse, dot, cholesky

* fixed static module

* solve conflict

* remove original name for alias API

Update the code for the min,max, test=develop

add the api and doc for the margin_ranking_loss and MarginRankingLoss

* move paddle.fleet to paddle.distributed.fleet

* add auto_cast, test=develop

* add loss scaler, test=develop

* add comments, test=develop

* refine code, test=develop

* refine code, test=develop

* do not set flags automatically, test=develop

* fix custom op bug, test=develop

* add more test, test=develop

* refine enable logic, test=develop

* enable amp test with GPU, test=develop

* add unittest

* add test for found_inf

* follow comments

* follow comments

* remove global variable, use singleton

* add some notes

* update comments

* update comments

* update comments

* add use_dynamic_loss_scaling argument

* refine found_inf

* refine found_inf

* fix loaded var suffix repeat error

* use new dygraph name for loaded param

change api name eps to epsilon for the pair_distance 

* add nll loss API, update demo code of the comment

[Dy2Stat] Removes temporary files created during the transformation of dygraph to static graph.  (#26150)

add pairewise distance for the paddlepaddle api 2.0

fix paddle.nn.loss.L1Loss OP, add paddle.nn.functional.l1_loss OP for API2.0

* Add the max, min, maximum, minimum api for the API 2.0, test=develop

* fixed imperative module in doc example code

* fixed static module

* solve conflict

* add IterableDataset support in multiprocess DataLoader. test=develop

add lamb to fleet meta optimizer