* transfer bicubic_interp op to phi, change name from bicubic_interp_v2 to bicubic_interp

* test final_state_bicubic_interp api

* testcase match imperative case

* move check finite and unscale kernel into phi

* move infershape into phi

* move update_loss_scaling kernel into phi

* remove original kernels

* move update loss scaling infershape into phi

* add header for xpu and npu

* solve coverage failed

* fix npu test failed

* remove mutable data in cu file

* fix new executor failed

* add valid check for meta tensor output

* initial commit

* fix op maker bug

* fix mul grad bug

* add unittest

* fix add grad bug, add cpu kernel

* add paddle.geometric.message_passing

* add paddle.geometric.send_uv api, add unittest

* add fp16 judgement

* fix file typo, move compute_type to message_op

* add impl file

* fix unittest timeout time

* add review revise

* update reshard cost and cost estimator

* add unittest

* add dropout cost

* fix import error

* fix reshard code style error

* improve unittest coverage

* convert multihead to oss

* fix:bug

* fix:delete const cast

* fix:don't support bias_qk

* add vit pass

* fix:convert bug and add preln_residual_bias

* support length=-1

* add UT for convert

* add no_bias_qk support for gpu_multihead_op

* delete infer_shape depends on bias_qk

* oss just can be used in T4 and A*

* fix:change api for ROCM CI

* fix the api for the add

* update the document for the api add

* update add docs; test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* reconstruct_of_fleet_api

* update

* prune d2h memcpy for fp16 pass

* add select_p

* fix bugs

* add custom test for select_p; modify select_p primrules

* modify according to xiaoxu's comment

* add eq_p, select_p, pow_p, use autograd to test grad of high order

* add requirement of autograd, modify expected type of eq

* modify according to xiaoxu's comment

* import primops to use primops.pow

* refactor fleet.

* refact fleet.py.

* update fleet/__init__.py.

* update fleet.py

* update code style.

* update fleet

* update fleet

* update fleet

* update fleet

* update model.py

* update fleet.

* update __init__.py

* update fleet.

* update fleet.

* update fleet

* update fleet

* update fleet

* update fleet.

* update optimizer.py

* update optimizer

* update fleet.py

* update scaler.py

* update setup.py.in

Co-authored-by: NminghaoBD <liminghao03@baidu.com>

* change name linear_interp_v2 to linear_interp

* fix deprecated_op_names

* deprecated_op_names add linear_interp_grad

* Reduce pool2d test configuration

* Reduce depthwise_conv2d test configuration

* Reduce trt_convert_conv2d_fusion test configuration

* Reduce trt_convert_conv2d test configuration

* Reduce trt_convert_conv2d_transpose test configuration

* Reduce trt_convert_hard_swish test configuration

* Enhance trt auto scan test error message and mechanism

* Increase FP16 trt ut tolerance

* fix sync batch norm to inplace

* add collate_fn

* fix number of inputs

* rm useless pybind

* rm useless ut

* [Auto Parallel] Move the distributed info from python to c++

* [Auto Parallel] Add dist_attrs for VarDesc and OpDesc

* [Auto Parallel] Add the lost file

* [Auto Parallel] Make the dist attr be unique_ptr

* [Auto Parallel] Add the proto conversion

* [Auto Parallel] Improve the proto support

* [Auto Parallel] Fix the bugs for adding a device or a link

* [Auto Parallel] Add the C++ ProcessMesh and DistributedMapper

* [Auto Parallel] Improve the impl of these dist attrs

* [Auto Parallel] Pybind11 ProcessMesh and DeviceMesh

* [Auto Parallel] Fix the unittest problem

* [Auto Parallel] Explicitly add the src file for auto_parallel target

* [Auto Parallel] Add the proto depedency explicitly

* [Auto Parallel] Fix the cmake bug on windows and mac

* [Auto Parallel] Remove the pybind11 header file in process_mesh.h

* [Auto Parallel] Remove unused codes

* [Auto Parallel] Check whether the dist attr is null

* [Auto Parallel] Implement the assign operator for OpDesc explicitly

* [XPU] add some collective ops. test=kunlun

* use XPUOpTestWrapper. test=kunlun

* skip kl1 for collective ops. fix typo: deivce -> device. test=kunlun

* Update FLAGS for standalone executor

* Update FLAGS_FORCE_USE_PROGRAM_CACHE

* add cached_serialize_str_

* support program hash

* add sha

* add ut

* use hash_str only for new_exe

* fix attr order

* back fl

* delete ssl cert

* .

* make warning

* .

* unittest paral degree

* solve unittest

* heter & multi cloud commm ready

* .

* .

* fl-ps v1.0

* .

* support N + N mode

* .

* .

* .

* .

* delete print

* .

* .

* .

* .

* fix bug

* .

* .

* fl-ps with coordinator ready

* merge dev

* update message parse only

* update fl client scheduler

* fix bug

* update multithreads sync

* fix ci errors

* update role_maker.py

* update role_maker.py

* fix ci error: windows py import error

* fix ci error: windows py import error

* fix windows ci pylib import error

* add dump fields & params

* try to fix windows import fleet error

* fix ps FLAGS error

* fix logging risk

* fix logging possible risk

* write trainer_desc file

* support split sparse params in local & remote

* fix import paddle.fluid.core.PSGPU

* fix import paddle.fluid.core.PSGPU

* add remote_sparse & local_sparse config

* fix unittest

* fix test_dist_fleet_geo table error

* fix PADDLE_ENFORCE error

* fix other's pr conflict

* remove v2_transpose_reshape

* matmul_transpose_reshape

* reshape_transpose_matmul

* Add int8 support for matmulV2

* restore ut

* adjust old ut

* restore parallel UT ruels

* remove mkldnn code from base ops

* move enforces to pass

* remove duplicated functions

* delete duplicated enforces

* feedback from review

* add comments to variables

* enable eltwise support

* dynamic attribute

* remove fusepass tests from op test

* remove fuse pass cases from op test

* revert introduction of dynamic attributes

* style
Co-authored-by: Nwozna <joanna.wozna@intel.com>

* support optional<vector<Tensor>> in yaml and eager

* delete useless comments in eager_gen.py

* fix api_base.py support optional<vector<TTensor>>

* python_c_gen.py support optional<vector<tensor>>

* transfer linear_interp_v2 yaml from fluid to phi

* fix op_test typo error

* change linear_interp_v2 testcase

* fix args in final_state_linear_interp_v2

* fix zeropad2d typo. test=document_fix

* update reshard for auto search

* fix unittest bug

* update dist tensor

* update reshard output

* fix unittests bug

* merge develop

* Fix concat and tile attribute for ONNX

* disable unittest

* bugfix

* remove scaling

* support rescale_grad opt

* support more final_state code

* support more final_state code

* fix api error

* fix norm error

* fix pool3d error

* revert pool3d and max_pool_3d_adaptive

* fix code check error

* fix norm problem

* [Auto Parallel] Pybind11 ProcessMesh and DeviceMesh

* [Auto Parallel] Fix the unittest problem

* [Auto Parallel] Explicitly add the src file for auto_parallel target

* [Auto Parallel] Add the proto depedency explicitly

* [Auto Parallel] Fix the cmake bug on windows and mac

* [Auto Parallel] Remove the pybind11 header file in process_mesh.h

* enhance grid_sampler to support 3d input

* add init file

* add op definition and infermeta

* add kernel definition funcs

* add broadcast infer shape

* add gpu forward kernel

* delete SUB and DIV

* add x_grad

* add template

* add e_grad for min and max

* fix small bug

* temp commit

* temp commit

* add e_grad for sum and mean

* fix some compile bug

* fix compile bugs

* fix compile problem

* add sum forward unittest

* fix broadcast error, add kernel sig, register e_grad, change unit test

* fix grad

* add temp grad fix

* temp commit

* add min max unittest

* add max, min unittest, fix mul bug

* add cpu forward sum and mean

* add forward min max, fix mean unittest

* add cpu backward min max

* fix code-style

* add backward sum mean

* fix rocm ci

* set uniitest timeout

* fix bug of x broadcast to e, gpu grad

* fix bug of x broadcast to e, cpu grad

* rename BOOST_GET_CONST macro

* fix rocm ci

* mv graph_send_e_recv to graph_send_ue_recv

* move out_size to IntArray

* add eager op test

* fix max pool type bug, add unittest for api

* revise api doc

* add fp16 for atomic min and max, add unittest

* add unittest

* add fp16 support for graph_send_recv

* fix unittest fp16 bug

* change OutSizeTensor to Out_size

* move E to Y

* add copyright, fix comment

* review code

* fix thread block size

* fix thread block size

* change api attribute name: pool_type to reduce_op, compute_type to message_op

* change api attribute name, move pool_type to reduce_op, move compute_type to message_op