* use sync h2d copy

* use stream safe allocator in memcpy_h2d

* remove wait

* add guard

* [NPU] add int64 support for scatter op

* [NPU] delete debug codes

* [NPU] optimize codes

* fix inplace addto pass

* update

* fix ut

* improve ci coverage

* fix musl ci compile error

* add prior_box for kunlun

* update

* update CMakeLists

* add angle_op

Modify ShareTensorWithCinnBuffer by callback to save memory

* refactoring matmul hierarchy

* review fix

* review fix

* review_FIX-part2

* Add new unittests

* Replace I with O channel for filter groups

* Undo changes affecting other operators

* Fix oneDNN namespace typo

* Fix code format error

* add regularation and Nesterov for mergerd_momentum

* refine unittest for use_nesterov attr

* refine op check

* refine code

* fix bug

* refine code of regularization_flag

* delete useless code

* support data_format='NHWC' for prelu channel mode

* add pten reduce kernel

* add reduce_sum kernel

* update attribute args and order

* make out dtype undefined

* fix empty input error

* merge develop branch

* rename sum as reduce function

* rename sum as reduce function

* fix reducekernelImpl args error

* add reduce cuda kernel

* modify dims type to const &

* remove unsed log

* fix reduce_all out eigen function error

* remove unused codes

* add the missing sum api define and testcase

* merge develop branch

* fix sum test axis value error

* replace pten mean kernel with reduce_mean

* revcover meam cuda to original implement

* add expand_v2/expand_as_v2 for kunlun

* update expand_as_v2

* update expand_as_v2

* support float16/bool

* update xpu.cmake

* suport fetch lodtensor array, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* [NPU] reorganization for device API abstraction

* [NPU] delete old files

* [NPU] fix npu_collective_helper

* [NPU] fix collective_helper

* [NPU] fix ut

* [NPU] mod memory allocation and hccl_helper

* [NPU] fix place_type

* [NPU] split enfoce.h

* move acl* call into npu_info

* merge conflict

* fix merge

* merge conflict

* merge conflict

* test

* test

* rm test

* update

* update

* update

* add unittest

* update

* update save

* add scalar and scalar_array

* remove DenseTensor include from Scalar and ScalarArray

* remove inner header from scalar_array

* refactor the method of fill_constant and add some comment

* add fill_constant kernel using ScalarArray

* modify some prompt

* remove fill_constant kernel with no shape

* [NPU] add int64 support for argsort op

* [NPU] delete debug codes

* [NPU] add NPU kernel for prior_box op

* [NPU] delete debug codes

* Added GradTensorHolder to Eager Dygraph

* Added accumulation codes to Eager Dygraph

* Fix windows-ci issue

* Fix NPU-CI issue

* Fixed CI-Coverage issue

* clear LoDTensorArray

* fix  bugs

* fix

* fix gpu

* Add second batch of deprecated mkldnn namespace and macro changes

* Unlock CI

* Fix temporary namespace alias placing

* elementwise_mul refactor

* perfect code in test

* delete redundant code

* fix bugs when run test_multiply

* adjust the location of macro

* fix bugs when run ci

* add scalar and scalar_array

* remove DenseTensor include from Scalar and ScalarArray

* remove inner header from scalar_array

* refactor the method of fill_constant and add some comment

* [XPU] Reorganize xpu device codes in platform, test=develop

* fix xpu_header.h, test=develop

Add support for bias is none for fused_attention op.

* enhance scatter err msg check

* fix ci error

* elementwise_div refactor

* fix compile bugs in windows ci

* Added HCCL backend support in dynamic graph mode

* fix segmentation fault

* add ut

* Add transfer_layout/dtype op

* clean useless codes

* fix unused var

* add optest in white.txt

* split into data_transfer.cc

* fix cmake

* modify according reviewer comment

* replace cast_op with transfer_dtype_op

* disable copying of datatype when sharing buffer between two tensors.
* fix for mkldnn operator kernels (elementwise_add, sum, softplus, softmax, scale, activation), mannually set the data type when reusing memory by ShareBufferWith.

* add isclose op, test=develop

* add isclose op, test=develop

* add isclose api, test=develop

* rm useless code

* rm useless code

* update python api of isclose

* add some unittest of isclose op, test=develop