* sylwek

prototype params to int8 pass

* trying to make warmup work

* wip

* wip

* change test to cpp test

* review fixes, refactoring

* more refactoring

* add erasevars

* change test to fixture

* rename pass

and reorder erasevars and graphsaferemovenodes

* fix

* more refactoring and fixed bug

* formatting

* remove scale count

* enfroce message too short

* remove erasevars

erasevars couldbe cauuse of memory issues

some other fixes

* add count of successfull fuses to name of new nodes

* FindVar -> GetVar and use ConvResidual pattern

* use tensor->clear() instead of new variable

* Update paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/fluid/inference/tests/api/analyzer_lexical_analysis_gru_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* add log (review fix)c

* review fix (2 functions to one)

* code review: Conv->QuantizeConv

* revert

* fix formatting

* remove unused functions

* add paddle enforce
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* fix arg_max converter

* improve MSRAInitializer

* improve the doc

* fixed multihead matmul fuse pass

* Add unittests

* rm scale op

* fixed code style

* fixed code style

* resolve testcase falied

* add note

* add codegen for get_expected_kernel, add argument mapping for selected_rows kernels, fix other bugs in codegen for operators.
* move bernoulli, erf, mv, poisson, trunc, erf to api.yaml and corresponding backward api to backward.yaml
* generate EmptyGradOpMaker for ops without grad op
* add code to generate all possible kernel signatures for infrt

* add fc, multihead_mul, shape tensor infer, slice

因此将N次前向共用一个 vec scope 换为了N次前向分别使用自己的一个vecscope

* test=gpups

* Fix some bugs about the usage of cinn lib.

* Fix some unit test errors.

* refine layer to

* refine code

* add ut

* consolidate conv act passes

* generalize conv_activation

* integrate conv+act tests

* code style format

* whitespaces

* remove timeout from old tests

* implement comments from review

* restore ut

* whitespace

* code style

* transpose

* fixes after review

* method for gettin act

* Change Paddle_enforce error type

* code format

* add missing opcompats

* [MLU] add mlu kernel for elementwise_max_grad

* [MLU] modify mlu kernel elementwise_min_grad impl

* add argmin and argsort ops (#800)

* add argmin and arsort ops

* Add dot bmm ops (#803)

* add bmm

* add dot op

* clean CreateConst

* clean CreateCast

* add activation ops (#808)

* add activation ops

* fix 1function-redefined error

* fix for layer_norm

* minor fix

* add new API/OP(csr->csr) of SparseTensor softmax

* fix comment

* gpups default config and dataset

* codestyle

* add unittest

* code style

* add dymf to gpups

* codestyle

* add static.nn.cvm import

* PSERVER_DEBUG

* add fs config to worker desc

* update unittest

* unittest

* remove gpups unittest

* remove gpups unittest

* static check

* fix to_sparse_csr

* Support optional residual add in fused_attention and fused_feedforward.

* Add checkpoint and add the check of add_residual when pre_layer_norm is false.

* Add TODO and change the python api to add add_residual argument.

* [MLU]: add shape kernel

* [MLU]: set output from cpu to mlu in shape kernel