* add trt noexcept definition

* add trt noexcept on trt plugin

* add trt noexcept on trt int8 calibrator

* remove noexcept on base serialize

* add trt noexcept on split plugin

* add trt noexcept on elementwise plugin

* add trt noexcept on prelu plugin

* add trt noexcept on pool plugin

* add trt noexcept on swish plugin

* add trt noexcept on gelu plugin

* add trt noexcept on layer norm plugin

* add trt noexcept on instance norm plugin

* add trt noexcept on emb eltwise layernorm plugin

* add trt noexcept on qkv2context plugin

* add trt noexcept on skip layernorm plugin

* add trt noexcept on slice plugin

* add trt noexcept on hard swish plugin

* add trt noexcept on stack plugin

* add trt noexcept on special slice plugin

* add trt noexcept on anchor generator plugin

* add trt noexcept on yolobox plugin

* add trt noexcept on roi align plugin

* add trt noexcept on gather nd plugin

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

This reverts commit 6c110344.

* support Nest sequtial container

* rename model path

* change strided_slice when step<0.

* add unittest for paddle.strided_slice

* polish unittest

* fix the order of unfold parameters

* update readme test=document_fix

* update while loop docs test=document_fix

* pass found_inf to adam

* add unittest

* fix bug

* refine unittest

* change unit test's directory

* disable unittest on cpu

* mv recv to head, test=develop

* add cuda event and stream api

* add cuda event and stream api

* add get_current_stream api

* add get_current_stream api

* init streams

* modify get_current_stream

* modify get_cuttent_stream

* add synchronize func

* add current_stream doc and test file

* move get_current_stream into CUDA macro

* move CudaEvent into CUDA macro

* move _get_current_stream and _device_synchronize into cuda macro

* modify the macro of cuda stream and event

* add test case for synchronize

* add paddle.devices.cuda module

* event and stream support hip

* add doc for stream and event class

* move cuda stream and event into single pybind

* add cuda_streams_py.cc to cmakelist

* add _device_synchronize and _get_current_stream to core module

* add test case for cudastream and cudaevent

* move __all__ in streams.py

* fix test fail

* add cuda to devices __all__

* fix current_stream doc writing error

* move devices to device direction, and merge device.py into __init__.py

* add required:gpu to sample codes

* remove cuda direction from device/__init__.py

* notest;test=approval

* add npu approval

* fix used before assign

* fix used before assign

* fix func redef

* fix-func-redef

* fix func redef

* fix func redef

* fix func redef

* fix func redef

* fix func redef

* fix func redef

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* notest;test=approval

* del test py

* add wait_server_ready

* fix remove bug

* fix the bug that happened in alltoall in dygraph mode

* [NPU] add sigmoid and sigmoid_cross_entropy_with_logits

* [NPU] add debug logs

* [NPU] delete debug logs

* [NPU] reset to paddle.NPUPlace(0)

* [NPU] add more unittests for sigmoid_cross_entropy_with_logits

* delete useless c++ code, and delete check_dygraph=False

* [NPU] delete repeated codes of unittests

* [NPU] fix licence code style

* [NPU] add attrs (now do not support) check for sigmoid_cross_entropy_with_logits

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

* add clear_float_status op

* refine infershape

* fix typo

* refine check_finite_and_scale

* refine code

* Add NoNeedBufferVarsInferer

* fix code style