* change Vector to std::vector and provide MixVector class as a helper wrapper class

* solve the multi-gpu hang problem

* remove the duplicate template instantialize

* Copy vector to cpu

* add CopyToCPU

* xxx

* final version: fix the problem of all reduce

* remove mixvector dependence

* fix

* merge

* fix code

* fix by CI

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* move dynload from fluid to pten.

* fix ci compile

* fix windows ci compile.

* update

* update

* fix compile error

* matmul_convert_int8

* matmul_convert_int8

* matmulconvert_int8

* Matmul_int8_convert: tensor*tensor

* Matmul_int8_convert: tensor*tensor

* Matmul_int8_convert: tensor*tensor

* Use cuda virtual memory management and merge blocks, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* window dll, test=develop

* fix cuda error of CUDA_ERROR_NOT_INITIALIZED, test=develop

* use autogrowthv2 for system allocator, test=develop

* remove ~CUDAVirtualMemAllocator(), test=develop

* refine, test=develop

* fix cuda error of CUDA_ERROR_NOT_INITIALIZED, test=develop

* fix cuda error of CUDA_ERROR_NOT_INITIALIZED, test=develop

* fix bug, test=develop

* revert system allocator, test =develop

* revert multiprocessing, test=develop

* fix AutoGrowthBestFitAllocatorV2 mutxt, test=develop

* catch cudaErrorInitializationError when create allocator, test=develop

* fix cuMemSetAccess use, test=develop

* refine cuda api use, test=develop

* refine, test=develop

* for test, test=develop

* for test, test=develop

* switch to v2, test=develop

* refine virtual allocator, test=develop

* Record cuMemCreate and cuMemRelease, test=develop

* refine, test=develop

* avoid out of bounds, test=develop

* rename allocator, test=develop

* refine, test=develop

* use PADDLE_ENFORCE_CUDA_SUCCESS, test=develop

* for test,test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* support extern third_party lapack on Linux/Windows/Mac

* fix ci

* 1. add interface for fft;
2. add data type predicate;
3. fix paddle.roll.

* add fft c2c cufft kernel

* implement argument checking & op calling parts for fft_c2c and fftn_c2c

* add operator and opmaker definitions

* only register float and double for cpu.

* add common code for implementing FFT, add pocketfft as a dependency

* add fft c2c cufft kernel function

* fix bugs in python interface

* add support for c2r, r2c operators, op makers, kernels and kernel functors.

* test and fix bugs

* 1. fft_c2c function: add support for onesided=False;
2. add complex<float>, complex<double> support for concat and flip.

* 1. fft: fix python api bugs;
2. shape_op: add support for complex data types.

* fft c2c cufft kernel done with complie and link

* fix shape_op, add mkl placeholder

* remove mkl

* complete fft c2c in gpu

* 1. implement mkl-based fft, FFTC2CFunctor and common function exec_fft;
2. change the design, add input and output typename as template parameter for all FFTFunctors, update pocketfft-based implementation.

* complete fft c2c on gpu in ND

* complete fft c2c on gpu in ND

* complete fft c2c backward in ND

* fix MKL-based implementation

* Add frame op and CPU/GPU kernels.

* Add frame op forward unittest.

* Add frame op forward unittest.

* Remove axis parameter in FrameFunctor.

* Add frame op grad CPU/GPU kernels and unittest.

* Add frame op grad CPU/GPU kernels and unittest.

* Update doc string.

* Update after review and remove librosa requirement in unittest.

* Update grad kernel.

* add fft_c2r op

* Remove data allocation in TransCompute function.

* add fft r2c onesided with cpu(pocketfft/mkl) and gpu

* last fft c2r functor

* fix C2R and R2C for cufft, becase the direction is not an option in these cases.

* add fft r2c onesided with cpu(pocketfft/mkl) and gpu

* fix bugs in python APIs

* fix fft_c2r grad kernal

* fix bugs in python APIs

* add cuda fft c2r grad kernal functor

* clean code

* fix fft_c2r python API

* fill fft r2c result with conjugate symmetry (#19)

fill fft r2c result with conjugate symmetry

* add placeholder for unittests (#24)

* simple parameterize test function by auto generate test case from parm list (#25)

* miscellaneous fixes for python APIs (#26)

* add placeholder for unittests

* resize fft inputs before computation is n or s is provided.

* add complex kernels for pad and pad_grad

* simplify argument checking.

* add type promotion

* add int to float or complex promotion

* fix output data type for static mode

* fix fft's input dtype dispatch, import fft to paddle

* fix typos in axes checking (#27)

* fix typos in axes checking

* fix argument checking (#28)

* fix argument checking

* Add C2R Python layer normal and abnormal use cases (#29)

* documents and single case

* test c2r case

* New C2R Python layer normal and exception use cases

* complete rfft,rfft2,rfftn,ihfft,ihfft2,ihfftn unittest and doc string (#30)

* Documentation of the common interfaces of c2r and c2c (#31)

* Documentation of the common interfaces of c2r and c2c

* clean c++ code  (#32)

* clean code

* Add numpy-based implementation of spectral ops (#33)

* add numpy reference implementation of spectral ops

* Add fft_c2r numpy based implementation for unittest. (#34)

* add fft_c2r numpy implementation

* Add deframe op and stft/istft api. (#23)

* Add frame api

* Add deframe op and kernels.

* Add stft and istft apis.

* Add deframe api. Update stft and istft apis.

* Fix bug in frame_from_librosa function when input dims >= 3

* Rename deframe to overlap_add.

* Update istft.

* Update after code review.

* Add overlap_add op and stft/istft api unittest (#35)

* Add overlap_add op unittest.

* Register complex kernels of squeeze/unsquuze op.

* Add stft/istft api unittest.

* Add unittest for fft helper functions (#36)

* add unittests for fft helper functions. add complex kernel for roll op.

* complete static graph unittest for all public api (#37)

* Unittest of op with FFT C2C, C2R and r2c added (#38)

* documents and single case

* test c2r case

* New C2R Python layer normal and exception use cases

* Documentation of the common interfaces of c2r and c2c

* Unittest of op with FFT C2C, C2R and r2c added
Co-authored-by: lijiaqi <lijiaqi0612@163.com>

* add fft related options to CMakeLists.txt

* fix typos and clean code (#39)

* fix invisible character in mkl branch and fix error in error message

* clean code: remove docstring from unittest for signal.py.

* always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. (#40)

* always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype.

* fix CI Errors: numpy dtype comparison, thrust when cuda is not available (#41)

1. always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype.
2. promote floating point tensor to complex tensor ior fft_c2c and fft_c2r;
3. fix unittest to catch UnImplementedError and RuntimeError;
4. fix compile error by avoid using thrust when cuda is not available.
5.  fix sample code, use paddle.fft instead of paddle.tensor.fft

* remove inclusion of thrust, add __all__ list for fft (#42)

* Add api doc and update unittest. (#43)

* Add doc strings.
* Update overlap_add op unittest

* fix MKL-based FFT implementation (#44)

* fix MKL-based FFT implementation, MKL CDFT's FORWARD DOMAIN is always REAL for R2C and C2R

* remove code for debug (#45)

* use dynload for cufft (#46)

* use std::ptrdiff_t as datatype of stride (instead of int64_t) to avoid argument mismatch on some platforms.

* add complex support for fill_zeros_like

* use dynload for cufft

* Update doc and unittest. (#47)

* Add doc of frame op and overlap_add op.

* Update unittest.

* use dynload for cufft (#48)

1. use dynload for cufft
2. fix unittest;
3. temporarily disable Rocm.

* fix conflicts and merge upstream (#49)

fix conflicts and merge upstream

* fix compile error: only link dyload_cuda when cuda is available (#50)

* fix compile error: only link dyload_cuda when cuda is available

* fix dynload for cufft on windows (#51)

1. fix dynload for cufft on windows;
2. fix unittests.

* add NOMINMAX to compile on windows (#52)

 add NOMINMAX to compile on windows

* explicitly specify capture mode for lambdas (#55)

 explicitly specify capture mode for lambdas

* fix fft sample (#53)

* fix fft sample

* update scipy and numpy version for unittests of fft (#56)

update scipy and numpy version for unittests of fft

* Add static graph unittests of frame and overlap_add api. (#57)

* Remove cache of cuFFT & Disable ONEMKL (#59)

1. replace numpy.fft with scipy.fft as numpy<1.20 not support ortho norm
2. remove cache of cufft plans;
3. enhance error checking.
4. default WITH_ONEMKL to OFF
Co-authored-by: Njeff41404 <jeff41404@gmail.com>
Co-authored-by: Nroot <root@bjyz-sys-gpu-kongming9.bjyz.baidu.com>
Co-authored-by: NKP <109694228@qq.com>
Co-authored-by: lijiaqi <lijiaqi0612@163.com>
Co-authored-by: NXiaoxu Chen <chenxx_id@163.com>
Co-authored-by: Nlijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>

Put Nvidia's cusparse library into paddle.

* Modify the search order of dynamic library

* Modify the search order of dynamic library

* add op read_file and decode_jpeg

* add allreduce and broadcast without test (#31024)

add allreduce and broadcast without test

* Refactor HCCLCommContext to be compatible with Paddle (#31359)

Refactor HCCLCommContext to be compatible with Paddle (#31359)

* [NPU] add npu kernel for communication op (#31437)

* add allreduce and broadcast without test

* add c_broadcast_test case

* build c_comm_init and c_create_group operators

* make the whole thing compile

* add broadcast and init op test case but run failed

* make unit test compile

* fix broadcast test bug and change into hcom for ccl

* change c_comm_init and c_create_group ops accordingly

* make tests compile

* transfer code to 27

* compiled successfully in 28, but run failed

* test broadcast in 28, but failed

* make hcom primitives work

* change hccl data type for base.h

* fix broadcast bug

* make attributes work

* fix group name bug

* add allreduce but test failed

* allreduce bug for qiuliang

* allreduce finished

* add allgather and reducescatter

* merge all op code

* add allgather test

* finish run all ccl op test exclude send/recv

* all all op and test exclude send/recv

* send_v2_npu.cc recv_v2_npiu.cc compiled

* fix ccl core dump bug and test allgather, reducescatter, broadcast op

* fix allreduce bug just for test

* hcom send&recv test pass, without hcom_destroy

* for qiuliang test

* Ascend Send&Recv Test Pass

* all op (ex send/recv) ok

* fix bug

* merge all ccl op

* style merge to PaddlePaddle

* merge style

* new merge style

* merge style 2

* insert an empty at the end

* disable ctest for hcom to pass ci
Co-authored-by: Nvoid-main <voidmain1313113@gmail.com>
Co-authored-by: Nf2hkop <f2huestc@outlook.com>

* Add auto-increasing tag id for Hcom OPs (#31702)

* add c_reduce_sum op (#31793)

add c_reduce_sum op

* update Ascendrc hccl to 20.3 (#32126)

update Ascendrc hccl to 20.3 (#32126)

* fix merge code

* change cmake.txt1

* [NPU] Support npu kernel for c sync stream op (#31386)

* sync stream npu op

* add with_ascend_acl

* update c++ unittest

* compile all failed

* try to pre commit

* after pre commit

* merge&compile&test hccl successfully!

* fix code style

* fix code style

* fix bugs about hccl

* fix some bugs

* fix code style

* fix style

* fix style

* fix

* fixed

* merge develop
Co-authored-by: Nlw921014 <liuwei921014@yeah.net>
Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
Co-authored-by: Nf2hkop <f2huestc@outlook.com>
Co-authored-by: Nxiayanming <41795079@qq.com>

* Remove old custom OP to reduce whl package volume

* [Custom OP]Remove old custom OP to reduce whl package volume

* support macos

* [2.0.1]Support New Custom OP on windows

* fix CI

* fix code style

* fix CI

* fix CI

* fix coverage

* fix CI

* fix CI

* use iwyu clean include second time, test=develop

* [ROCM] update fluid platform for rocm35 (part1), test=develop

* address review comments, test=develop

* delete empty line of pybing.cc, test=develop

* use nvtx push pop in timeline, test=develop

* change year, test=develop

* add #ifdef PADDLE_WITH_CUDA, test=develop

* add #ifndef WIN32, test=develop

* is_pushed to is_pushed_, test=develop

* Polish and Optimize the print/repr message of all layer

* fix some code format

* 添加rocm平台支持代码

* 修改一些问题

* 修改一些歧义并添加备注

* 修改代码格式

* 解决冲突后的代码修改

* 修改operators.cmake

* 修改格式

* 修正错误

* 统一接口

* 修改日期

* use iwyu clean include, test=develop, test=win

* compilation error, test=develop

* fix compilation error2, test=develop

* fix compilation error3, test=develop

* fix compilation error4, test=develop

* fix compilation error5, test=develop

* fix compilation error6, test=develop

* fix compilation error7, test=develop

* fix compilation error8, test=develop

* fix compilation error8, test=develop

* fix compilation error10, test=develop

* fix compilation error11, test=develop

* polish install error hint msg, test=develop

* fix variable error, test=develop

* polish hint messgae again

* refine PADDLE_ENFORCE
test=develop

* refactor dynamic dso search func, test=develop

* polish details, test=develop

* polish detail based review comments, test=develop

* revert string type change, test=develop

* add default cudnn lib path, test=develop

* change default path in func, test=develop

* move to linux branch, test=develop

* fix var error in other plat, test=develop

* Add the check for whether CUDA Driver and NVRTC is available for the runtime system.

* Call cuInit to initialize the CUDA Driver API before all CUDA callings.
test=develop

* Change the behavior when libnvrtc.so can not be found, printing a warning instead of exiting.
test=develop

* Do not initialize CUDA Driver API for windows and macos.
test=develop

* Remove the call of cuInit when entering paddle and enable the test_code_generator.
test=develop

* Add some built-in functions for __half.
test=develop

* Change save_intermediate_out to false in unittest.
test=develop

* Fix error reference to tempropary variable when seting including path for device_code.
test=develop

test=develop
test=win_gpu

* Fix cusolver loader for Windows in dynamic_loader.cc. test=develop

* Fix missing CUSOLVER_ROUTINE_EACH_R1.
test=gpu
test=develop

* Add unsupprot for cusolver on Windows temporarily. test=develop

* Fix GetCusolverDsoHandle error message. test=develop

* Add cholesky_op forward part. test=develop

* Complete cholesky_op forward part. test=develop

* Add cholesky_op backward part. test=develop

* Complete cholesky_op backward part. test=develop

* Refine cholesky_op error check and docs. test=develop

* Add grad_check unit test for cholesky_op. test=develop

* Fix sample code in cholesky doc. test=develop

* Refine some error messages of cholesky_op. test=develop

* Refine some error messages of cholesky_op. test=develop

* Remove unused input in cholesky_grad. test=develop

* Remove unused input in cholesky_grad. test=develop

* Fix stream for cusolverDnSetStream. test=develop

* Update PADDLE_ENFORCE_CUDA_SUCCESS from cholesky_op to adapt to latest code.
test=develop

* Add CUSOLVER ERROR in enforce.h
test=develop

* Fix the missing return value in cholesky. test=develop

* How to write custom op needs to follow framework OP spec.
* Package fluid_framework.so and headers into whl.
* Add paddle.sysconfig.get_include() and paddle.sysconfig.get_lib() to get include dir and lib dir.
* Export some C-APIs to merge OpInfo between core.so and custom_op.so.
* Add unit testing.
* Update API.spec.

* Add the dynamic load of nvrtc, and support runtime compiling of CUDA kernel using nvrtc.
test=develop

* Call CUDA driver api to launch the kernel compiled by nvrtc.
test=develop

* Disable for mac and windows.
test=develop

* Refine the codes to support manually specified num_threads and workload_per_thread.
test=develop

* Refine the CUDA kernel to support large dims.
test=develop

* add tensorrt support for windows

* fix warpctc.dll not found issue, test=develop

* revert the linux platform change, test=develop

* delete warpctc_lib_path.h.in, test=develop

* add SetPySitePackagePath function

* fix warpctc.dylib not found issue on Mac, test=develop

* improve the paddle lib path setting logic, test=develop

* fix mac ci issue caused by test_warpctc_op unittest, test=develop

* tweak code, test=develop

test=develop

* remove unused FLAGS_warpctc_dir

test=develop

* remove FLAGS_warpctc_dir

test=develop

test=develop
This reverts commit c38c7c56.