support stride

* create phi so

* fix ci bugs

* fix py3 bugs

* add file

* fix py3 bugs

* fix windows bugs

* perfect so

* fix py3 bugs

* delete all static target in phi

* fix windows bugs

* fix py3 bugs

* fix ci bugs

* fix windows bugs

* fix bugs: gflags can't be linked by dynamic and static lib

* fix bugs that can not load 3rd party

* fix ci bugs

* fix compile bugs

* fix py3 bugs

* fix conflict

* fix xpu bugs

* fix mac compile bugs

* fix psgpu bugs

* fix inference failed

* deal with conflict

* fix LIBRARY_PATH bug

* fix windows bugs

* fix onednn error

* fix windows compile bugs

* fix windows compile bugs

* fix test_cuda_graph_static_mode_error aborted

* fix windows bugs

* fix mac-python3 error

* fix hip compile bugs

* change mode to static

* change to static mode

* fix ci bugs

* fix py3 bugs

* fix windows bugs

* fix bugs

* add static flag

* add PADDLE_API

* change position of PADDLE_API

* fix windows bugs

* change mode to dynamic lib

* fix windows static bugs

* deal with conflict

* fix windows unit bug

* fix coverage

* deal with conflict

* fix windows-inference

* fix py3 bugs

* fix bugs when compile type_info

* fix compile bugs

* fix py3 bugs

* fix windows bugs

* fix windows openblas

* fix xpu bugs

* fix enforce_test in windows

* update code according comment

* fix windows cmake bug

* fix windows bugs

* fix windows bugs

* delete cinn unittest

* fix cinn bugs

---------
Co-authored-by: lzydev <1528794076@qq.com>

* Reduce inference library size and compile time

* resolve conflicts

* bind sparse_coo_tensor, reduce_max/max_int32, range/arange_int32, equal_bool, scatter_grad_float32, nearest_interp_int64 kernels

* add more unit tests; modify compilation logic of xpu sparse kernels

* move UniformRawKernel to legacy

* Update uniform_kernel.cc

* Update uniform_kernel.cu

* Update uniform_kernel.cc

* Update uniform_kernel.cu

* Update uniform_kernel.h

* Update uniform_kernel.cc

* Empty Commit to setup deployments

* setup

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* fix

* fix

* Update elementwise_kernel.cu

* fix

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* initial commit for cutlass_teller

* second commit for cutlass_teller

* add conv2d_depthwise python template

* add conv2d_depthwise cutlass template

* /zhoukangkang/paddle_cutlass/Paddle/paddle/fluid/framework/ir/cutlass_teller.h

* refine code in Conv2dFusionCanSupport

* add macro in cutlass_teller.h

* add 3x3 5x5 teller

* add groups not 1 or conv2d_depthwise teller

* 只生成ic是8的倍数的conv2d_depthwise 的kernel

* add EXPLICIT in cutlass_teller.h

* final commit

* add split_k_slices in conv2d_depthwise

* make stages == 2

* 重构部分代码

* add CutlassFusionType

* solve illegal memory

* make stride_h=stride_w && make dilation==1

* must check HasAttr(use_cutlass) before GetAttrIfExists

* add CONV2D_DEPTHWISE_BIAS_SILU to OpType2String

* modify decl.h and util.cu

* [phi] move sequence_pool kernel to phi

* [phi] mv sequence_pooling to phi funcs

* [phi] mv sequence_pooling_test

* [phi] RollBACK `paddle/fluid/operators/sequence_ops/sequence_pool_op.cc`

* [phi][funcs] fix mutable_data

* [phi][funcs] fix mutable_data

* remove distribute

* fix py3 bugs

* fix gpu-ps bugs

* fix compile bugs

* fix unittest bugs

* fix generate_kernels.py in CUDA 12.0

* fix attrs bug

* first version, notest

* return final rst, notest

* use infinity() instead of max

* ut structure

* start up of ut

* generate lse

* update

* add depense

* reconstruct cmake

* move file

* add memory efficient attention and fix blasimpl

* update

* update cmake

* add namespace

* update cmake

* use .cu

* update for pad3d

* bug fix

* bug fix

* update

* bug fix

* update enforce

* add test case

* merge the lse pad

* fix kernel_fn of backward

* fix PADDLE_ENFORCE_EQ and phi_api

* fix PADDLE_ENFORCE

* fix PADDLE_ENFORCE

* rerun coverage

* fix memory efficient attention test

* rerun ci

* add cuda version condition

* add cuda version condition

* delete WIP test

* replace PADDLE_ENFORCE

* edit the namespace of datatype in multiple.cc

* rerun

* rerun

---------
Co-authored-by: Nliuyuang <liuyuang@baidu.com>

* add fused_linear_param_grad_add_kernel

* fix compile error

* remove flag

* fix ci compile error

* fix ci compile error

* revert pylayer revision

* fix ci ut

* improve performance

* remove contexts in tensor_utils

* update from_blob

* update from_blob

* update from_blob

* fix bug

* fix bug

* use python to generate cutlass code

* refine CommonConvKernelPart1, CommonConvKernelPart2

* remove useless code in generate_cutlass_code.sh

* add more config in conv2d_residual

* CommonCutlassConvKernelPart1 and CommonCutlassConvKernelPart2

* add group conv support in util.cu

* remove .sh

* refine name

* make name goodgit status!

* add fuse_alpha

* make code easy to understand

* mot fopen generate in py

* use python script to generate conv2d,group=1 cutlass code

* use const &

* use const & && use python script to generate conv2d/group=1 code

* Add function node in phi_kernel for MKLDNN

* fix the bug in 'BuildInferVarKernelContext'

* add infer_varkernel_utils.cc

* fix the bug:the first two parametes of 'BuildInferVarKernelContext' can't be template variable

* change the code according to first review

* change the code according to first review

* change the mode of paddle_build.sh

* change 'infer_var_kernel_fn_' to 'get_kerneltype_forvar_fn_'

* add the error information

* fix NotFound infomation warning

* fix NotFound infomation warning

* fix NotFound infomation warning

* * add comm context for device context

* add broadcast phi operator kernel and api

* add broadcast support dtype, update ut

* fix broadcast bfloat16 type

* fix ut

* update test_collective_broadcast_api timeout to 300

* flash attn

* seed

* almost

* softmax

* fix workspace

* add unitest; linux only

* fix setup

* fix datatype include

* fix setup typo

* fix def scope

* new error api

* use paddle fork

* fix attr bug; complete ut

* update flash hash

* fix rng reset

* fix offset

* fix comments

* move variable_utils from phi_api_utils to fluid

* fix coment

* update include

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* update

* update

* fix CI-Windows-OpenBLAS

* fix bugs

* fix bugs

* fix bugs

* update include

* move variable_utils to phi_utils

* fix namespace

* Implement conv2d_fusion NHWC format using CUTLASS
* Add unit testing for CUTLASS Conv in inference
* Add experimental API for CUTLASS.

* add warp transducer code

* move gather_scatter_kernel from fluid to phi

* mv gather_scatter_kernel to gather_scatter_functor

* delete Bias and ResidualData in OpMaker of conv2d

* delete extra input of conv3d

* refactor pass of conv_bias_fusion

* fix mkldnn dependency

* fix mkldnn compile

* fix test_conv_bias_mkldnn_fuse_pass

* police some code

* remove useless log

* fix analyzer_vit_ocr_tester

* fix conv_activation_mkldnn_fuse_pass

* fix test_analyzer_ocr

* add fused_conv_sig

* fix performence regression

* fix performance regression

* Refactor conv_kernel and conv_grad_kernel to provide interface for CUDNNv8 implementation

* Fix macro

* Add implementation for conv_kernel and conv_grad_kernel

* Modification after rebase onto latest develop

* Modify plan cache to comply with the API of phi::autotune

* Refactor to reduce duplicate code

* Review fix:
- move functions in  conv_kernel_impl_v8.h and conv_grad_kernel_impl_v8.h to conv_kernel.cu and conv_grad_kernelk.cu
- add const specifier for input tensor
- add logging when plans fail to execute
- move CudnnConvBwdFilterV8 and CudnnConvBwdDataV8 to conv_cudnn_frontend.h

* - move plan building outside of cache

* Fix ROCM build

* [CustomDevice] GetCCLComm add custom device support

* update

* update

* update

* Add infer prune function

* Update phi.cmake

* Update operators.cmake

* add fusion op

* sparse infer_meta

* add fusion dir and fuse_softmax_mask kernel

* remove fusion kernel dir

* migrate infershape

* fix code errror

* add tensor array

* fix ci bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* update by comment

* update code

* [XPU]Migrate Adam XPU kernel into Phi

* test=kunlun

* add coalesce_tensor kernel

* polist coalesce_tensor kernel

* add sig and InferMeta

* add testcase

* add legacy_api.yaml

* fix infermeta

* fix yaml

* fix kernel implementation

* add compile dependency of phi/kernels

* fix MetaConfig

* add python api

* add and fix testcase

* rnn.py add import

* change _C_ops.coalesce_tensor

* remove useless comments

* add SetBackend

* restore XPU kernel temporarily

* fix code according to PR comments