* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* add log for Executor
Co-authored-by: Nliutiexing <liutiexing@google.com>

* test=document_fix;add print pten kernel tool

* test=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

* add print_pten_kernels tool

* add print_pten_kernels tool

* fix windows complie

* notest,test=rocm_ci

* add merge tool

* add comments

* add event node implementation

* modify profiler.stop interface

* fix according to review

* fix file mode

* modify class method name in event_node.cc

* modify LLONG_MAX to ULLONG_MAX

* fix ci error

* fix ci error

* improve backward performance

* support different dtypes for elementwise ops

* fix code conflict

* generate inter_meta register

* clear cache

* just try

* add sign c++ api

* polish some code

* [MLU] add mlu kernel for accuracy op

* fix license format

* fix error message

[NPU] add reduce_min

* add a graph pass to share MemOptVarInfos of external variables into subgraph

* update pass name

* fix compile failed

* add share_mem_opt_info_to_subgraph_pass test

* share_mem_opt_info_to_subgraph_pass_test pass

* modify some codes for better style and more robust

* update cmake

* Removed debug info

* Added automatic code generation for final state Eager Dygraph

* Modified backward yaml

* Added EagerUtils helper functions for final state CodeGen

* Adjusted CMakeFiles to support compilation for final state auto generated codes

* Added python-c code generation for final state Eager Dygraph

* Fixed minor issue

* Fixed yaml.load() method failure

* Fixed minor issues

* Refactored Python-C Attributes Parsing Functions

* Fixed minor issue with Python-C AddFunctions

* Fixed issues from merge

* Fixed merge issues

* move masked select cpu kernel

* add masked selected gpu kernel; test=develop

* fix bugs; test=develop

* bug fix; test=develop

* bug fix; test=develop

* add namespace to set mask array; test=develop

* fix bug; test=develop

* fix bugs; test=develop

* fix ddim bug; test=develop

* fix npu op bug; test=develop

* fix xpu dependecy bug; test=develop

* move kernel args to sig.cc; test=develop

* mkldnn conv fix

* definetion

* refactor C++ API code-gen

* fix windows problem of C++ API

* optimize conv1d forward

* add conv opt

* Optimize memory copy

* delete share data with

* set num_filters=512

* add nlc optimize

* Optimize num_filter=512 data on A100 and V100

* Fix the workspace_size size setting of filter

* add squeeze unsqueeze stack

* add unittest

* add cpu kernel

* add dropout

* add reshape

* add slice

* refien slice unittest

* refine slice unittest

* add cpu bf16 kernel

* update isnan registration

* fix compile

* add standard_suffix_set_and_remove_reshape_with_xshape

* revert reshape change

* polish reduce name

* fix code conflict

* clear cache

* just try

* adjust the Empyt dev_api

* fix merge conflict

* fix sparse_utils_kernel

* add trace op

* bug fix

* bug fix; test=develop

* thrust bug fix; test=develop

* remove useless register; test=develop

* fix bug; test=develop

* update trace kernel; test=develop

* move kernel args to trace_sig; test=develop

* try to fix trace kernel conflict; test=develop

* Optimize performence of softmax_fwd when axis!=-1

* use functor

* support hip

* fix functor

* fit pten for amp

* fix typo

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* merge legacy to fluid

* Remove legacy code

* Remove legacy code

* Remove DataType test

* Using Tensor directly instead of using EagerTensor

* support gradient_accumulation

* make test_imperative_lod_tensor_to_selected_rows longer

* make test_imperative_lod_tensor_to_selected_rows longer

* implement AllocateFrom

* dense_to_sparse_coo

* optimize unit testing; support rocm

* 1. delete fluid related header file
2. update the copyright

* fix hipMemcpy

* update dense_to_sparsecoo

* add namespace sparse

* sparse_csr_to_dense

* test to_sparse_coo: csr_to_coo

* fix writing error

* to_sparse_csr: dense_to_sparse_csr and sparse_coo_to_csr

* fix check shape

* fix unit test

* to_dense: sparse_coo_to_dense, sparse_csr_to_dense

* replace CUDADeviceContext by GPUContext

* add trace op

* bug fix

* bug fix; test=develop

* thrust bug fix; test=develop

* remove useless register; test=develop

* fix bug; test=develop

* update trace kernel; test=develop

* move kernel args to trace_sig; test=develop