* [NPU] Support npu kernel for assign_value op

* move test_assign_value_op_npu.py into unittests/npu folder

* correce copyright year; add TestAssignApi class using NPUplace in test files

* support Kunlun2

* support KL2

* support KL2

* add basic APIs

* add attr_types

* follow comments

* change pass attr types

* add set pass attribute codes

* refine PADDLE_THROW

The comment background message is too long, see details at https://github.com/PaddlePaddle/Paddle/pull/34521

* test version of matmul_v2

* added matmul_v2 grad kernel

* minor changes

* minor changes

* minor change for CI approval

* CI fix

* CI fix

* added squeeze and squeeze2 kernels

* CI fix

* CI fix

* CI fix

* disabled tests when compiled with cuda

* added setting format_tag by strides

* added sigmoid BF16 FWD/BWD and gelu BF16 BWD

* changes after review

* Revert "added sigmoid BF16 FWD/BWD and gelu BF16 BWD"

This reverts commit 6e3f76720b545abfcff9f6052b46b73a1e745cae.

* Revert "Merge branch 'matmul_v2_grad' into squeeze2_op"

This reverts commit 06fcf67843a4a7884eccdf67a02a03575e1d4cb8, reversing
changes made to 6e3f76720b545abfcff9f6052b46b73a1e745cae.

* minor change

* added reshape1/2 kernels

* moved some functions into private block

* CI fix

* CI fix

* CI fix

* add trainer desc config to distributed strategy

* code style modified

* add fix op run order pass

* add ut for fix_op_run_order

* fix ci error

* improve coverage

* improve coverge again and fix cpu test case

* follow some comments

As the title

See https://github.com/PaddlePaddle/Paddle/pull/33949 for details

This PR added optional boolean is_parameter and stop_gradient in the VarDesc proto, and remove them during save_inference_model

When Graph has sub-graph, apply pass to it and all sub-graph. And add single test script .

Revert "Revert "[Dy2Stat] Refactor ExecutorCache logic and pre-support BuildStrategy for pass (#34181)" (#34348)" (#34384)

This reverts commit 577fdde5.

* psgpu:edit cuda remote_streams; test=develop

Revert "[Dy2Stat] Refactor ExecutorCache logic and pre-support BuildStrategy for pass (#34181)" (#34348)

This reverts commit 609f8225.

* modify into program_id

* fix cache_info declare problem

* fix python int to C long problem

* modify point to reference

* add ENVS

Add boost as dependency to fix random compilation failure. This is due to program_processing.cc used boost but didn't write boost into DEPS in the CMakeLists.txt

As the title, this PR converts all blocks in program into SSA sub graphs and it is guarded by flag

* Add NoNeedBufferVarsInferer

* fix code style

This PR creates a class to process the program at the C++ level. Currently, this class has one class method:
GetInputsOutputsInBlock()

* Add DCU backend support for custom ops

* Added checks for DeviceCopy and renamed some macros

[pass enhance] make the attribute check only object to which defined in op proto. test=develop (#34146)

* Refine Constructor logic of ParallelExecutor

* Replace executor into ParallelExecutor in run_program_op

* adam add input SkipUpdate

* add unittest

* add npu unittest

* fix xpu compile

* remove param stream

* Support sccache to speed up compilation on Windows

* Support sccache to speed up compilation on Windows