* move cudnn hardcode outside GetExpectedKernelType

* add header file

* debug

* update interpreter_util with hardcode

* update interpreter_util headerfile

* solve activation hardcode

* debug with CI

* add mkldnn_op_list header file

* temporarily uncomment mkldnn

* temporarily uncomment mkldnn

* delete sequence_softmax cudnn hardcode

* add hardcode to data_transfer.cc

* update data_transfer headerfile

* try fix segment fault

* update cudnn&miopen_helper

* reset HasAttr of DygraphExctnCtx

* debug, this commit should pass all CI

* debug should pass CI, temporarily disable activation

* debug should pass CI

* fix default_attr=nullptr bug

* clean debug code

* Call SetDnnFallback function in the base class

* activation fallback to plain kernel

* fix default GetExpectedKernelType find wrong kernel

* search cudnn kernel instead of fallback

* fix cudnn_handle bug

* remove tanh use_cudnn

* restore tanh use_cudnn

* debug tanh

* fix tanh bug

* delete activation cudnn kernel

* polish code

This reverts commit f9134045.

* move cudnn hardcode outside GetExpectedKernelType

* add header file

* debug

* update interpreter_util with hardcode

* update interpreter_util headerfile

* solve activation hardcode

* debug with CI

* add mkldnn_op_list header file

* temporarily uncomment mkldnn

* temporarily uncomment mkldnn

* delete sequence_softmax cudnn hardcode

* add hardcode to data_transfer.cc

* update data_transfer headerfile

* try fix segment fault

* update cudnn&miopen_helper

* reset HasAttr of DygraphExctnCtx

* debug, this commit should pass all CI

* debug should pass CI, temporarily disable activation

* debug should pass CI

* fix default_attr=nullptr bug

* clean debug code

* fix nvprof_nvtx_push interface bug

* support pure bfloat16

* support bf16 linear

* update PR to pass CI

* tiny fix where_grad_kernel.cu

* add bfloat16 to selu_grad to pass CI

* fix selu grad compilation error

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

* support int64 non-broadcast

* support broadcast case for int64 index

* fix bug

* support more Arity

* remove some codes

* upgrade patchelf to v0.15.0 to pass CI build

* fix bug

* fix patchelf installation

* add debug flags

* remove useless codes

* fix viterbi_decode and set_value op uts

* remove always enable int64

* 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

* remove cudaDeviceContext

* remove more template

* fix rocm compile

* remove alias name CUDADeviceContext

* fix compile

* fix tests

* revert changes

* compile into one static library

* fix xpu compile

* fix xpu compile

* fix inference compile

* fix inference compile

* add custom test

* revert one file

* build into one static library

* move memory/detail to memory/allocation

* fix bug

* fix profiler

* fix framework_proto

* fix deps

* fix inference compilation

* fix rocm compile

* follow comments

* fix buddy_allocator_test

* Compilation optimization

* record memory and op supplement info

* update

* update

* fix a bug

* fix memory recording

* fix a bug

* update

* update

* fix a bug

* update

* fix a bug

* fix a bug

* fix a bug

* Revert "fix a bug"

This reverts commit c1d4df52762ba9ae7c7e27cd2ba4fc3a7ed9c7a5.

* fix a bug

* fix format

* fix

* add some kernel(csr*dense->csr, dense*dense->csr) of SparseTensor matmul

* fix CI

* fix CI

* fix comment

* fix comment

* fix cuda graph sizeof

* fix tuple type

* support CUDAGraph for partial graph

* add ut

* fix ci

* fix ut again because of eager mode

* fix kunlun ci

* fix win ci

* Support memory stats for CPU

* Add UTs

* Fix typos

* Fix typos

* print mem

* refine

* refine

* refine

* refine

* Add peak memory log for CI

* Change VLOG to std::cout

* Move print code to test_runner.py and paddle_gtest_main.cc

* Fix typo

* Fix conflicts

* Updata message format

* Fix CI errors

* Add FLAGS_enable_gpu_memory_usage_log

* Fix CI errors

* fix_paddle_numel_check

* fix_paddle_numel_check

* Using the maximum workspace_size of all alogirhms to limit the workspace size in exhaustive search mode.

* Use the system cudaMalloc and cudaFree to allocate workspace during searching.

* Enable switch of two kind of workspace setting methods.
Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* limit grid dim for index select

* mv LimitGridDim into gpu_launch_config.h

* fix conflicts

* fix conflicts

* fix code style

* set block to 256

* fix grid setting

* set dtype of block_dim to unsigned int

* support pinned, test=develop

* support async_write, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine,test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

Add new APIs for GPU memory monitoring (max_memory_allocated, max_memory_reserved, memory_allocated, memory_reserved) (#38657)

* Add new API memory_reserved

* Add memory_allocated, max_memory_reserved and max_memory_allocater

* Fix CI error

* Fix CI error

* Enhance UT

* Add FLAGS_memory_stats_opt

* Add STATS macro functions

* Add StatAllocator

* Fix CI errors

* Add UT

* Fix CI errors

* add maximum limit for grid of reduce, elementwise and gather

* add {} after if

* Added cuBlasLtHandle_t to device context.

* Added fused_gemm_epilogue op.

1. Added fused_gemm_epilogue op to leverage cuBlastLt Epilogue.
2. Support fusion Act(X*Y + bias), X'dims >=2 and Y'dims shoule be 2.
2. Act currently only be supported ReLU. (Will add GeLU in the future).

* Added UT to fused_gemm_epilogue op.

* Added LinearAct Pattern

1. Added LinearAct into graph_pattern_detector.* to define (2.)'s
pattern.
2. LinearAct is used to detect act(element_add(matmul_v2(x, w), bias)).
3. act currently only support ReLU (Will support GeLU in the future).

* Added FuseGemmEpiloguePass

1, Added FuseGemmEpiloguePass to handle nn.Linear + Act{ReLU}
fusion (GeLU will be supported in the future).
2. Only support matmul_v2 from nn.Linear.

* Added pybind to BuildStrageter.fuse_gemm_epilogue_.

* Added UT for fuse_gemm_epilogue_pass.

* GeLU support and EpilogueSingleton

1. Added GeLU support to fused_gemm_epilogue op.
2. Added EpilogueSingleton to cache auxiliary pointer.
3. Added related UTs.

* Rename cublaslt_epilogue_opto gemm_epilogue_op.*.

* Added both train and infer pattern to LinearAct.

1. Added support of fwd graph with grap_ops linking to LinearAct.
2. Added related changes to fuse_gemm_epilogue_pass for above
modification.

* Changed CUDA requirement from 11.4 to 11.6 for fuse_gemm_epilogue_pass.

* Added identity activation support to gemm_epilogue_op.

* Added Linear Fusion (matmul_v2 + ele_add)

1. Added matmul_v2 + ele_add pattern to LinearActPattern.
2. Added matmul_v2 + ele_add support to fuse_gemm_epilogue_pass.

* Rename gemm_epilogue_op.* to fused_gemm_epilogue_op.*

* Add fused_gemm_epilogue_grad op.

1. Added fused_gemm_epilogue_grad to support backward epilogue fusion.

* Add UTs to fused_gemm_epilogue_grad_op.

* Change attribute name in fused_gemm_epilogue_grad_op for clearing.

* Allow DX and DBias be dispensable to fused_gemm_epilogue_grad op.

* Added ElementwiseAdd+Matmul+Act graph pattern detection.

* Fuse backward of Linear( Act(x))

1. Added backward fusion pass to Linear( Act(x)).
2. Added backward fusion pass to Linear(x).

* Added UTs to backward fusion of Linear(Act(x)).

* Complete document of arguments to fused_gemm_epilogue_op.

* Made arguments of some functions pass by reference.

* Modify code with review comments.

1. Made arguments of some function pass by reference.
2. Removed redundant code.
3. Followed Google code style to change code.

* Made 'const' code style be consistent

* Fixed random seed of python UTs.

* Set Compiling constrains to cuBlasLt

1. Require CUDA 11.6+
2. Remove fuse_gemm_epilogue related tests when CUDA < 11.6.

* Code Reivew from Paddle

1. Changed arguments name is_first_gemm to without_x_gradient for
clearing.
2. Applied PADDLE_THROW in fused_gemm_epilogue_op.

* Remove EpilogueSingleton

1. Applied ReserveSpace to replace Epilogue for passing auxiliary
pointers between FWD and BWD.

* Fix a logical error and enhance UTs.

1. Added act op count checking in UTs.
2. Fix issue to fuse backward or ReLU(Linear(X)).
3. TODO: solve GELU fusion issues.

* Fix Linear and GeLU fusion issues.

1. Modified graph_detech_pattern to fit with both linear wiht gelu or
relu.
2. Modified data range in Uts to allow negative values.

* Removed fused_gemm_epilogue_op.h.

* Rename namespace pten to phi.

* Rename name of arguments in fused_gemm_epilogue_op

1. bias -> Bias.
2. out -> Out.
3. reserve_space -> ReserveSpace.

* Change EpiloguePassActivationCache as local variable.

1. Removed singleton in EpiloguePassActivationCache.
2. Made EpiloguePassActivationCache as an argument to each pass
functions.

* add softmax log_softmax

* refine rocm

* refine unittest