* add stack pool2d roi_align xpu op,test=kunlun

* error message opt, test=kunlun

* add xpu unittest,test=kunlun

* skip check grad,test=kunlun

* fix boostget , test=kunlun

* error message opt for XPU, test=kunlun

* Add truncated_gaussian_random_op XPU kernel

* Add truncated_gaussian_random_op XPU kernel, test=kunlun

* little change, test=kunlun

* change boost_get to BOOST_GET_CONST

* change boost_get to BOOST_GET_CONST, test=kunlun

* little change, test=kunlun

* use Generator to generate random number and optimize format, test=kunlun

* little change, test=kunlun

* add TODO, test=kunlun

* Add gaussian_random XPU kernels

* commit kunlun, test=kunlun

* new version, test=kunlun

* change boost_get to BOOST_GET_CONST, test=kunlun

* use Generator to generate random number and optimize format, test=kunlun

* add TODO, test=kunlun

* support uniform_random op on Baidu Kunlun

* change dtype of attr shape from int to int64_t

* kunlun ci, test=kunlun

* new version, test=kunlun

* change boost_get to BOOST_GET_CONST

* change boost_get to BOOST_GET_CONST, test=kunlun

* use Generator to generate random number and optimize format

* run Kunlun CI, test=kunlun

* add TODO, test=kunlun

* polish error message,test=kunlun

* polish error,test=kunlun

* polish error,test=kunlun

* polish error,test=kunlun

* addd

* add cast_op_xpu, test=kunlun

* fix bug for cast_op_xpu,test=kunlun

* add concat_op_xpu, test=kunlun

* slove conflicts, test=kunlun

* fix bug,test=kunlun

* add assign_op_xpu, test=kunlun

* fix bug,test=kunlun

* test=kunlun;test=develop

* fix concat bug,test=kunlun

* fix check_dygraph set in test_concat_op_xpu.py,test=kunlun

* fix error message,test=kunlun
Co-authored-by: Nmapingshuo <mps2012@yeah.net>

* add pad apis
* rm pad2d test_layer
* fix code example

* fix test_lstm unittest failed

* add more unittest

* modify cmakelist

* fix judgement

* disable test_lstm,test=document_fix

* fix some error,test=document_fix

* Incorporate cudnn_lstm into LSTM api.
test=develop

* Make coalesce_tensor support alignment optionally.
test=develop

* Reorganize RNN apis. test=develop

* Fix cudnn rnn layout conversion.
test=develop

* Add sequence_length support for RNN cudnn implement.
Add optional init_h and init_c gradient for cudnn_lstm_op.
test=develop

* Use create_parameter for rnn cudnn impl.
test=develop

* Move `self._flat_weight = self.create_parameter()` in RNNBase to main_program.
test=develop

* Update RNN api unittest to use set_device.
test=develop

* Fix set_place for unit tests of RNN apis.
test=develop

* Fix use_align in coalesce_tensor_op.
test=develop

* Adjust RNN apis arguments according to comments.
test=develop

* Polish documents for SimpleRNN apis.
test=develop

* Refine random seed in cudnn_lstm_op.
Expose rnn params from sublayers to RNN.
test=develop

* Fix RNN saving for jit.save.
Refine cudnn_lstm dropout behavior.
test=develop

* Fix doc of GRU. test=develop

* Use ShareDataWith to avoid copying for cudnn_lstm_op test.
test=develop

* Remove updates on cudnn_lstm temporarily.
test=develop

* Use ShareDataWith to avoid copying for cudnn_lstm_op test.
test=develop

* Refine random seed in cudnn_lstm_op.
test=develop

* Fix test_lstm by adjust ConcreteProgram buffer getter.
test=develop

* Use create_parameter instead of create_var for rnn._flat_weight for static graph usage.
test=develop

* Remove W input for cudnn_lstm to pass unused_var_check.
test=develop

* Add test_predict for RNN unit tests coverage.
test=develop

* Fix code style of rnn.
test=develop

* Fix F.rnn usage in rnn.py.
test=develop

* Fix save in eval mode

* remove assert statement

* fix test_partial_program failed

* add more test

* modify back into _train_program

* change paddle.fluid.layers.reduce_sum to paddle.sum in sample codes

* format codes

* update, test=develop

* test=kunlun;

Add elementwise XPU OP kernel for KUNLUN core, including (but still cannot process common broadcast):

    * elementwise_div op
    * elementwise_max op
    * elementwise_mul op (with grad op)
    * elementwise_sub op (with grad op)

* 0.05->0.01

* add xpu error message description;test=kunlun

* conv dilated mkldnn support: forward and backward pass

* add mkldnn conv_transpose dilation UT
test=develop

* remove unnecessary PADDLE_ENFORCE

* add int8 and bf16 dilated conv UT

* update according to reviews

* build gloo from source code , test=develop

* change paddle.fluid.layers.reduce_mean to paddle.mean

* change paddle.fluid.layers.reduce_mean to paddle.mean

* add test for check ci rule

* replace error case

* adjust ci rules

* revert enforce test change, test=document_fix

* Make dynamic_decode support dygraph and expose to API 2.0
test=develop

* update info about BeamSearchDecoder and dynamic_decode

* remove all APIs in paddle.text, expose BeamSearchDecoder and dynamic_decode

* update example code

* delete test_text.py, decode.py, update some doc, fix example code float64

* delete decode import from paddle.nn

* fix unittest bugs

* use dygraph.Embedding instead of nn.Embedding, add paddle.enbale_static()

* update, correct doc

* move dynamic_decode, BeamSearchDecoder API to paddle.nn

* fix code style

* update unittest param, delete import pf text.py

* set dtype of beamsearchtest float64

* update example code of BeamSearchDecoder, dynamic_decode
Co-authored-by: NLiuChiaChi <709153940@qq.com>

update code examples for paddle.sums 

* add size method for large scale

* add large scale UT

* add ut for checkpoint

* test=develop, fix geo sgd communicator

* test=develop, gloo_init_method

* test=develop, bug fix for gloo http_init

* test=document_fix

* fix slice doctest=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

* raise error if use multi-cards in fleet non_distributed mode; test=develop

* add reduce xpu op test=develop;test=kunlun

* add reduce xpu op test=develop;test=kunlun

* add reduce xpu op test=develop;test=kunlun

* add reduce xpu op test=develop;test=kunlun

* add reduce xpu op test=develop;test=kunlun

* add tensor clone

* fix unittest test_var_base

1. support channel last in BatchNorm*d (#27875)
2. fix a bug in batch_norm_op cuda kernel by extracting ResizeToChannelFist(Last), TransToChannelFirst(Last) to operators/layer_utils.h

* step lr_scheduler on epoch end in hapi/model.py fit. test=develop