* remove is_init_py of RandomGenerator, and use Global Generator if not OP seed

* fix comment

* Add elementwise_sub quantization

* Remove unnecessary comments

* Specify names for tests

* Remove comments

* Remove comments leftovers

* delete PADDLE_WITH_TESTING in memory_block_desc

* test FLAGS_allocator_strategy=naive_best_fit

* delete flag naive_best_fit

* use fp32 compute type for cublasGemmStridedBatchedEx with fp16 input/output

* add flags to control compute type

* default to false

* add unit test

* default to true

* simplify doc check log info;test=document_fix

* test sample code error;test=document_fix

* delete test code;test=document_fix

* add tril_indices cpu kernal

* modify tril_indice cpu op

* modify bug

* modify bug

* add tril_indices python api

* add tril_indices python api

* resolve conflict

* add tril_indices test

* modify details

* add tril_indices.cu

* pythonapi pass

* save tril_indices

* CPU tril_indices pass

* delete vlog

* modify test_tril_indices_op.py

* delete tril_indices_kernel.cc.swp

* delete tril_indice.cu

* modify code style

* add newline in creation.py

* modify creation.py linux newline

* delete annotation

* check code style

* check .py style add final_state??

* modify code style

* add gpu_tril_indices

* modify gpu_compiled_juage

* modify gpu judge

* code style

* add test example

* modify english document

modify english document

modify english document

modify document

modify document

* modify pram name

* modify pram name

* modify pram

* reduce test ex

* fix Wtype-limits

* fix

* remove -Wno-error=type-limits

merge dymf branch

Signed-off-by: NKernelErr <me@lirui.tech>

* added md support inside (de)quantizes

* added missing file

* changed paddle enforce text

* another paddle enforce change

* same as before

* removed broken tests

* run all demo ci before exit;test=document_fix;test=windows_ci_inference

* fix bug;test=document_fix;test=windows_ci_inference

* improve log

* commetn test code

* modify according to zhouwei's comments

* change the output format of C++ backward api

* fix merge conflict

* fix sparse api code auto-gen

* fix eager_gen bug

* fix bug of output is null

* fix bug of conv2d_grad_impl

* fix optional grad

* fix bug of eager-gen double_grad

* fix bug

* fix multiply_double_grad bug

* fix bug of higher order derivative

* fix bug of FillZeroForEmptyGradInput

* remove redundant vector in grad_node

* fix bug of test_deformable_conv_v1_op

* fix bug of test_deformable_conv_v1_op

* some refacotr

* remove shared_storage

* fix bug

* fix rnn bug

* refine enforce code

* refine enforce code

* fix compile failed

* fix infrt failed

* enable graph-engine to return all id

* change vector's dimension

* change vector's dimension

* enlarge returned ids dimensions

* add actual_val

* change vlog

* fix bug

* bug fix

* bug fix

* fix display test

* singleton of gpu_graph_wrapper

* change sample result's structure to fit training

* recover sample code

* fix

* secondary sample

* add graph partition

* fix pybind

* optimize buffer allocation

* fix node transfer problem

* remove log

* support 32G+ graph on single gpu

* remove logs

* fix

* fix

* fix cpu query

* display info

* remove log

* remove empyt file

* distribute labeled data evenly in graph engine
Co-authored-by: NDesmonDay <908660116@qq.com>

* support yolov5s static/int8

* fix eltwise_sub and div weight compute

* fix delete_fill_constant_pass

Add Code Generation for operators,  op makers and argument mapping functions (#41772)

* [Eager] Polish eager code generation

* Remove useless code in codegen

* matmul refactor

* remove UT which only check ENFORCE output

* code format

* improve memory usage

* [NPU] add take_along_axis and take_along_axis_grad ops

* [NPU] add take_along_axis and take_along_axis_grad ops

* fix ut because cpu kernel can not be fallbacked

* fix device_free

* fix hang

* set scipy and numpy version suit for py3.6

* pynacl1.5.0 which is needed by PyGithub built failed in python36, change it to 1.4.0 also works;test=document_fix;test=windows_ci

* np.corrcoef support parameter since 1.20

* delete test code

* add intermediate for some api

* fix bug

* fix fluid.layer