* auto generate code for elementwise_max

* auto generate code for elementwise_max

* fix composite ops

* fix bug of fmax

* Add outputs to check_numerics_kernel.

* Add check_numerics to yaml.

* Add API and unittest.

* Add check_nan_inf_level as argument of check_numerics_kernel.

* Add more unittests.

* Fix static API implementation and unittest.

* Move the implementation of check_numerics to paddle.amp.

* Fix import error.

* feat: added polygamma init code

* feat: added polygamma unittest code

* test: added more test cases

* refactor: added forward impl

* refactor: added backward impl

* test: updated cases

* refactor: updated test cases

* refactor: added more case and fixed some bugs

* test: updated ref func

* refactor: updated code style

* refactor: move the code

* refactor: updated test

* refactor: updated test

* docs: updated en doc
Co-authored-by: Nzachary sun <70642955+sunzhongkai588@users.noreply.github.com>

* docs: updated math eq

---------
Co-authored-by: Nzachary sun <70642955+sunzhongkai588@users.noreply.github.com>

Support code generation for op conv2d_transpose, conv3d_transpose, depthwise_conv2d_transpose (#54242)

* update

* update eager_gen

* update

* rm intermediate

* static graph autogen code for shape op

* fix onednn

* fix onednn

* static graph autogen code for check_finite_and_unscale_ op

* bug fixed

* update

* update cmake

* update

* update

* update

* update

* Revert "update cmake"

This reverts commit 1e1dc1b2bc9967b725201272607f939260070fd4.

* update

* update

* update

* update

* static graph autogen code support for pad3d op

* bug fixed

* add ut for pad3d mkldnn op

* fix coverage

* fix bug

* fix bug

* Delete test_pad3d_mkldnn_op.py

* fix the static op generation for group_norm

* fix bug of mismatch

* fix bug of AssertionError

* fix setting of composite

* simplify layer_norm_op.cc

* support auto generate for op layer_norm

* update unittest for composite_layer_norm

* remove layer_norm_op.cc from scripts

* replace layer_norm_op with generated_op

* add get_expected_kernel for layer_norm

* update cmake kernel register function for layer_norm_mkldnn_op

* Add i1 and i1e op

* resolve merge conflicts

* mv InstanceNorm

* modify op_version.yaml

* modify add Operator:: in get_expected_kernel_func.cc

* rm gradexpectedkernel

* add extra

* add float epsilon=1e-5

* added base code for i0 and i0e

* added grad base code for i0 and i0e

* added i0 and i0e python code

* added ops and backward yaml config

* added i0 and i0e cpu kernel, but not test.

* added i0 and i0e code and unitest files

* added test files

* added i0/i0e gpu implementation code

* updated code style

* updated code style

* fixed unitests code

* updated i0 with eigen3

* fixed bug and added more test cases

* refactor: fixed static graph bug

* refactor: removed i0 and i0e from op_compat

* refactor: updated code style

* refactor: updated op_compat.yaml

* refactor: updated op_compat.yaml

* refactor: fixed op name mapping and optimize unittest case

* refactor: manually implement i0 / i0e

* refactor: added grad kernel for i0 / i0e,didn't finish

* Update math.py

* refactor: added equation to doc in English and added comments for computing i0 / i0e gradient

* refactor: removed eigen implementation

* refactor: finished i0 / i0e cpu and gpu op

* refactor: updated code style

* fix: find  a bug but not fix

* fix: incorrect unittest cases

* update: updated code style and remove my file

* update: updated unittest case

* fix: fixed sign error

* fix: fixed mistakes when merging

* refactor: updated code style

* refactor: remove unused code

* refactor: updated code style

* add index_put api

* fix value broadcast in backward and add test case in static

* add timeout=120s for index_put

* add op_compat for index_put

* add inplace index_put test

* add test case when index tensor in indices is int32 when indices.size less than x.dims

* add index_put api backward in cpu place

* add backward test case

* refactor code to delete some duplicated code

* replace reshape with resize for decrease extra memcpy

* add datatype flag in backward yaml

* fix bug in documentation

* Update python/paddle/tensor/manipulation.py

---------
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* [phi][api] add autogen code coalesce_tensor

* [phi][api]fix args

* [phi][api] supplement attrs

* update

* fix bug

* support parsing fixed kernel data_type

* update op_compat

* update

* [static op generation] triangular_solve

* [phi] mv triangular_solve_grad to static_backward

* [phi] fix import

* [phi] mv to ops.yaml、 backward.yaml

* fix forward attr

* [phi] fix triangular_solve_grad args

* support register single .cu file

* add register GPU kernel function

Add paddle.geometric.weighted_sample_neighbors API

* support the 'generate_proposals' for generating static graph ops

* fix bug

* fix bug

* Update ops.yaml

fix bug

* remove the generate_proposals_v2_op.cc from CMakeLists.txt

* fix bug

* fix bug

* support auto generate for op adam optimizer

* remove unnecessary files

* support auto generate for op adamw optimizer

* support auto generate for op merged_adam optimizer

* use manual_signature in adam_

* add flash randomness control

* fix VLOG undefied

* add autogen code support for mean_all op

* bug fixed

* bug fixed

* bug fixed

* fix graph_reindex

* fix

* Update op_compat.yaml

* add autogen code support for lu

* fix bug

* fix bug

* fix bug

* fix bug

* add autogen code support for expand_as op

* bug fixed