* dygraph support more ctc grad scale

* scale for 1.x

* fix unitest

* fix unitest

* format code

* fix unittest

* fix log info

* unittest cov

* fix format;notest,test=cpu,coverage

* skip ctc_loss egs;test=cpu

* warpctc grad cov;test=coverage

* add dygraph test;test=coverage

* format;test=cpu,coverage

* format;test=cpu

* add api compat;test=cpu

* add cpu test

* rename

* rename

* fix

* fix test

* format

* eigen cpu

* eigen gpu grad pass

* cuda gpu pass

* format

* fix ci

* Fix typos in english docs for diag and diagflat.

* fix dice_loss bug

* fix paddle.optimizer test=document_fix

* fix paddle.optimizer test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

Revert "Revert "[Dy2Stat] Refactor ExecutorCache logic and pre-support BuildStrategy for pass (#34181)" (#34348)" (#34384)

This reverts commit 577fdde5.

Revert "[Dy2Stat] Refactor ExecutorCache logic and pre-support BuildStrategy for pass (#34181)" (#34348)

This reverts commit 609f8225.

* logical ops support int8, int16, int32, int64, float, double

* update docs of logical ops

* fix npu and xpu logical ops

* fix npu and xpu logical ops

* fix bug in xpu logical op code

* update test_logical_op_npu and test_logical_op_xpu

* correct error type

* modify into program_id

* fix cache_info declare problem

* fix python int to C long problem

* modify point to reference

* add ENVS

* fix crop_tensor op doc

* update code example test=document_fix

* update readme test=document_fix

* update while loop docs test=document_fix

* cache core.ops, test=develop

* refine, test=develop

As the title, add Python helper function to get block Inputs/Outputs. This function is helpful to distributed computing for sharding.

* opt dygraph python code, test=develop

* refine, test=develop

* opt dygraph python API, test=develop

* Fix unbind bug in manipulation.py

* add returns for beamsearchdecoder doc, test=document_fix

As the title

* using argparse to handle selections

* 2 TODOs

* 先不更改pipeline配置，这里强制改成GPU版本

* sorted the all_names

* exec gpu sample codes tests incrementally

* get all apis from the pr.spec file

* condition with WITH_GPU

WITH_GPU == ON

save

* delete the useless codes

* delete the useless codes.

test=document_fix

* echo the diff result

test=document_fix

* dont reuse the variables

* rename fun to _func not work. put it into the skiplist

https://github.com/PaddlePaddle/Paddle/commit/038ffc795025170e8cda74bcd473b46301b9a1c0
test=document_fix

* skip it in check api approvals

test=document_fix

save

* skip the private _variables

* print signatures wrong. now rename it to _func

test=document_fix

* del py2 code2

* fix test timeout

* use SparseSoftmaxCrossEntropyWithLogits

* fix

* test_slice

* revert test_slice

* add backprob for npu kernel

* fix typo

* fix ut

* fix ut

* refine comments

* return softmax

* add reduce_sum_op by add self-kernel

* set all ReduceKernel MPType for accuracy

* add float16 test script which input is integer number

* solve reduce sum float16 check_grad problem

* solve conflict and change test script for CI

* change kernel register for CI

* remove all useless template

* use PYTHON_C_API in dygraph, test=develop

* add paddle.neg api

* add test for neg

* fix an English gammar error in comment

* add lgamma api

* support api paddle.tensor.neg() and paddle.tensor.lgamma()

* modify test_neg_op.py

* modify API nn.Bilinear's doc, test=develop

* add two attributes for yolo box

* Fix two english api documents, transpose and strided_slice

* OP:strided_slice_op supports bool type inputs

* add private api for memcpy_op

* change place dtype

* add private python api for memcpy op

* fix the bug of div operation result using scale method do not exactly equal the result of elementwise_div method

* remove __div__ , __rdiv__ methods which do not define in python3

* modify the note

* add test case

* add test case

* enhance error message for conv

* fix ci coverage

* fix uint8 check in assign

* fix assign unittests

* fix xpu test_assign

* Add param_guard in ParameterList to support @to_static

* Refactor param_guard of @to_static

* fix unittest failed

* add more unittest

* Add casting initializers for bf16 training

* Changes after review

* Correct test and add comment

* [Rocm] fix tests of inplace_abn_op & grid_sampler_op

* [Rocm] fix tests of inplace_abn_op & grid_sampler_op

* add relu6_ hardsigmoid_ leaky_relu_ Inplace APIs

* add softmax_with_cross_entropy_ Inplace API

* add clip_ scale_ add_ subtract_ Inplace APIs

* add wlist

* fix parameter of scale api

* add add_n_ Inplace API and remove log_ Inplace API

* fix elementwise_add_ and elementwise_sub_ broadcast problem

* elementwise inplace api give error message before run the op

* use broadcast_shape in elementwise inplace op

* add 8 inplace apis that is auto generated

* add unittest for all inplace apis

* add decorator for inplace apis in static mode

* fix windows blas fail of exp inplace api, change array_equal to allclose

* add flatten inplace api

* add flatten unittest

* fix flatten unittest

* add decorator

* fix grad.numpy in test_pylayer_op

* unsupport softmax_with_cross_entropy_

* add test_inplace_softmax_with_cross_entropy to static_mode_white_list

* delete __all__ in inplace_utils

* delete activation inplace function and add Tensor.inplace_func

* change paddle.inplace_ to Tensor.inplace_

* fix little problem

* add paddle in inplace_utils

* Add bf16 uniform random initializer

* Remove duplicated section

* Change UT to CPU place only

* Put detail functions into anonymous namespace