* prevent squashing pair u8 dequantize -> s8 quantize

* add relu op to check for uint8

* fix ptq fc attr name fuse_activation->activation_type

* fix

* add unit test

* remove unused variable

* test fix unsuccessful

* fix test and logic

* multiline comment

* remove cout

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

* fix ptq fc attr name fuse_activation->activation_type

* context add generator

* update

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* add log for Executor

* Add CudaTracer to trace CUDA events
Co-authored-by: Nliutiexing <liutiexing@google.com>

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* add log for Executor

* Avoid thread reconsruction when EOF
Co-authored-by: Nliutiexing <liutiexing@google.com>

* add has_attr for arg map context

* skip useless attr now

* skip attr if not exists

* fix typo

* add split kernel

* add split kernel signature

* fix split bug

* modify MakePtenScalarArrayFromVarList

* modify MakePtenScalarArrayFromVarList

* fix split windows register error

* add test case for split kernel

* replace raw split kernel with pten kernel

* fix makeScalar/ScalarArray bug

* remove debug log

* remove int64_t type in buildPtcontext

* update by code review

* fix split dev test failed

* change DenseTensorMeta to MetaTensor

* change split api code from auto gen to manual

* split cuda kernel support bfloat16 type

* fix conflict

* rm raw split kernel

* merge develop branch

* change to pten::errors

* Enabled Eager OpTest #1

* Enabled Eager OpTest #1

* Fixed get_tensor method for EagerTensor

* 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

* Adjusted python-level trace_op to accomodate final state Eager Dygraph

* Added Logs for final state Eager Dygraph

* Fixed merge issues

* Fixed minor issue

* 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

* fix dependency error

* added shape oneDNN kernel

* removed unnecessary import from test

* added skipping tests for GPU

* refactoring

* refactored shape kernel

* added tests in new framework

* removed one line

* minor change

* added newline at EOF

* added formatting

* added attributes as extra

* add transpose unbind

* add unittest

* refine transpose unittest

Co-authored-by: Nzhangna <zhangna@cambricon.com>

* move operators/math/math_function_* to pten/kernels/func
* namespace from `paddle::operators::math` to `pten::funcs`

* ermove xxx_info include

* fix namespace error

* resolve conflict

* skip xpu context in registry

* fix macro error

* resolve conflict

* resolve conflict

* revert xpu convert

* remove trans to fluid place

* remove useless headers

* Optimize performance of softmax_bwd when axis!=-1

* fix

* fix

* fix

* fix

* bilinear_fw init

* optimize code

* pre-compute linear_interp input index

* move grad get expected pten kernel args

* fix reduce sum error

* fix element_sub_grad failed

* revert kernel judge change

* 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>

* 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

* [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

* 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