reset_inplace_version removes all inplace related records to VarBase/VariableWrapper, the essential purpose of which is to let you use inplace operations as if using its non-inplaced version, which of course will cause unexpected consequences if not used with care.

This is essentially a hack interface to satisfy one specific request

* add tdm sample

* add tdm sample in c++

* update tdm sample

* modify sample count

* fix conflict

* add set_date

* fix cmake error

* fix bug of proto

* update index_dataset proto

* update cmake

* fix error cmake

* fix cmake mkldnn

* fix cmake proto

* update cmake proto

* update cmake

* update rec

* update dataset

* update dataset

* update dataset

* updata dataset

* updata dataset

* updata coverage

* updata ci

* goback4

* fix npu ci

* add xxhash dep

* Added GradTensorHolder to Eager Dygraph

* Added accumulation codes to Eager Dygraph

* Added tensor utils to Eager Dygraph

* Resolve compilation issues

* Fixed issues

* 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

* fix. test=develop

* fix. test=develop

* fix. test=develop

* fix. test=develop

* fix. test=develop

* [heterps]bug fix for _run_from_dataset

* fix heter_server.cc

* fix launch_utils.py

* fix heter_section_worker.cc

* fix. test=develop

* fix. test=develop

* Support multi-stream allocation for CUDA place

* Do not notify the retrying from other streams when free CUDA allocation

* Fix compile error for CPU

* Fix compile error for HIP

* Release memory for StreamSafeCUDAAllocaRetry in malloc_test

* Add FLAGS_use_stream_safe_cuda_allocator

* Fix CI error for 'set_tests_properties'

* Invalidate stream safe CUDA allocator for naive_best_fit and thread_local strategy

* Performance improvement: insert allocation pair to outstanding_events_map when free but not alloc; replace recursive_mutex with SpinLock

* FLAGS priority changes: FLAGS_use_system_allocator > FLAGS_use_stream_safe_cuda_allocator

* Performance improvement: directly delete allocation when the recorded_streams is empty in FreeImpl of StreamSafeCUDAAllocator

* Add UT for alloc interface

* Changes multi-stream interface; move retry code from AllocatorFacadePrivate to StreamSafeCUDAAllocator

* Fix static-ci

* 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

* Added EagerUtils to Eager Dygraph

* Purified include dependencies for global_utils

* Fixed merge conflicts

* 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

* matmul_convert_int8

* matmul_convert_int8

* matmulconvert_int8

* Matmul_int8_convert: tensor*tensor

* Matmul_int8_convert: tensor*tensor

* Matmul_int8_convert: tensor*tensor

* adapt auto search

* adapt auto search

* fix matmulv2 compatible

* del debug

* standarded unittest namespace

* fix detail error

* run dy2stat pure fp16 in Linear model

* no use self._pure_fp16_inputs

* add test and fix Adam error in dy2stat pure fp16 training

* use paddle.optimizer.Adam

* run test in gpu

* change test time for CI

* enlarge atol for test_resnet_pure_fp16

* refine code and enlarge atol

* make custom_white_list and custom_black_list take effect for AMP and pure fp16

* check tracer is not None

* use default atol

* change filter_size

* change atol and add some NOTE

* Add EagerTensor and tests

* remove useless enforce

* remove comment in cmake

* support autograd meta

* support grad node info test

* support grad_node_info

* add more edge test

* remove Python.h

* add tensor wrapper with tests

* support compute require grad and stop gradient

* support sync methods and global utils

* support pure cpu test

* refine error msg

* refine error msg

* refine error info

* fix npu error