* rm "paddle/fluid/operators/elementwise/xxx.h" in phi

* fix bugs

* add LaunchElementwiseCudaKernel in phi

* Revert "add LaunchElementwiseCudaKernel in phi"

This reverts commit 588f45bbdad2372ec7bff0c567a29bff675d22e1.

* rm indirect dependence to "elementwise_op_impl.cu.h"

rm indirect dependence to "elementwise_op_impl.cu.h"

Revert "add LaunchElementwiseCudaKernel in phi"

This reverts commit 588f45bbdad2372ec7bff0c567a29bff675d22e1.

add LaunchElementwiseCudaKernel in phi

fix bugs

* rm LaunchSameDimsElementwiseCudaKernel and LaunchElementwiseCudaKernel in phi

* rm "paddle/fluid/operators/eigen/eigen_function.h" in phi

* rm "paddle/fluid/operators/elementwise/elementwise_op_function.h" in phi

* Revert "rm "paddle/fluid/operators/elementwise/elementwise_op_function.h" in phi"

This reverts commit c4ba51225e3652f1d80925afba406612968f0ee9.

* standard api

* fix sparse bugs

* fix xpu bugs, test=kunlun

* remove hard code for custom unittest

* open ci, test=kunlun

* deal with conflict

* remove fluid/framework/generator.h from phi

* fix PR-CI-Kunlun-KP-Build fail

* rm fluid gpu_launch_config

* fix type

[PHI Decoupling] remove "paddle/fluid/platform/float16.h" and "paddle/fluid/platform/for_range.h" in phi. (#47817)

* rm "paddle/fluid/platform/float16.h" in phi

* rm "paddle/fluid/platform/for_range.h" in phi

[PHI Decoupling] remove dependency on "paddle/fluid/platform/errors.h" and "paddle/fluid/platform/fast_divmod.h" in phi. (#47815)

* rm "paddle/fluid/platform/errors.h" in phi

* rm "paddle/fluid/platform/fast_divmod.h" in phi

* rm "paddle/fluid/platform/dynload/cudnn.h" in phi

* rm "paddle/fluid/platform/dynload/mklml.h" in phi

* rm "paddle/fluid/platform/dynload/rocblas.h" in phi

* replace "paddle::platform::dynload::" with "phi::dynload::" in phi

* revert "blas_impl.cu.h"

* remove framework/data_type.h from phi

* fix CI fail: map proto::VarType to phi::DataType

* refactor code to add more detailed comments

* generate static graph code of some op

* polish code

* fix bug

* update default value

* fix scale kernel configuration error where input numel is 0

* fix code stype

* add unit test case for scale op when numel of input x is zero

* fix ci codestyle check

* add cpu and gpu unit test case for scale op when numel of input x is zero

* add uninitialized judgment for input of scale

* support pow_double_grad op

* add unit test for pow double grad

* fix pow double grad

* optimize pow double grad kernel

* fix pow double grad kernel

* generate static graph code for some activation op

* fix bug

* fix infermeta of selected_rows

* add sin double grad operator

* add sin double grad test example

* move sindoublegradopmaker to backward.yaml

* fix sindoublegrad code

* simplify sindoublegrad functor

* fix ci bug

* test

* Standardise batch norm

* standardize conv3d and depwise_conv2d

* fix ci bugs

* standard_api

* add hardtanh

* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* fix map at error

* Update paddle/phi/kernels/onednn/conv_grad_kernel.cc
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* remove useless extra attrs

* replace mkldnn_engine by onednn_engine
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* standard api

* fix ci bugs

* fix ci bugs

* fix ce bugs

* add unittest for einsum-v2-trace and diagonal

* repeat labels.

* einsum support repeated labels.

* forward is ok for diagonal and undiagonalized.
TODO: check backward is ok by our theorem.

* backward is ok!

* fix by PR suggestions.

* fix ci error

* fix ci error

* fix ci warning

* [CustomDevice] GetCCLComm add custom device support

* update

* update

* update

* support selected_rows kernel for multiply in dygraph

* delete useless code of slice in fluid

* fix complie bug

* move slice_array from fluid to phi

* fix strided_slice_op_npu