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* AsyncExecutor: C++ side

* Google naming conventions

* Rename MultiExecutor to AsyncExecutor

* pybind with async_executor

* Naming convention

* remove some flags and unused code

* add refactored file of async_executor and data_feed

* clear async executor interface and add data feed factory

* split async executor into executor_thread_worker and async_executor, refactor pybind, add datafeed and corresponding proto

* Fix async_executor interfaces: 1) Remove all protobufs; 2) Stop after each epoch

* refine async_executor_refactor.cc

* add some files about datafeed

* Revert "add some files about datafeed"

This reverts commit 8ee8133a.

* Interface rework

* add MultiSlotDataFeed

* Creating DataFeedDesc from .proto file, then manipulate it (add/del fields etc) from python side

* update data_feed for add MultiSlotDataFeed

* update datafeed and async_executor to run bow_net demo

* fix bug that finish_set_filelist failed in multithread

* delete finish_binding_memory_(flag), because it can not be marked under the current interface

* Fix bug

* update async_executor.py for support set_use_slots

* update async_executor.py for support set_use_slots and set set_dense_slots

* fix bug that when the number of files is less than the number of threads, it will fetch nan

* remove redundant code, and make executor exit when set a illegal queue size

* add batch_size check

* add MultiSlotDesc

* Revert "add MultiSlotDesc"

This reverts commit 2e72ebfa.

* add some checkpoint in DataFeedDesc

* add CheckFile function in MultiSlotDataFeed

* update something error info

* fix deaded lock bug

* Fix fetch variable

* Merge error

* fix code style in async_executor

* using one lock blocking queue replace two lock blocking queue because of some bugs

* update code style

* add utest for data_feed

* Fix fetch var

* update utest for data_feed for multithread

* update SetFileList info

* fix bug in utest of data_feed

* Add comments for python

* Add comments for python code

* Fix pybind.cc with new pybind11 version

* add note for DataFeedDesc's set_use_slots function

* Add save_model

* update data_feed_test for multi-type

* add comment for executor_thread_worker

* Remove unused code

* update data_feed_test for generate test data file

* removed unnecessary interfaces and add comments

* c++ style check

* update data_feed.cc

* AsyncExecutor: C++ side

Google naming conventions

Rename MultiExecutor to AsyncExecutor

pybind with async_executor

Naming convention

remove some flags and unused code

add refactored file of async_executor and data_feed

clear async executor interface and add data feed factory

split async executor into executor_thread_worker and async_executor, refactor pybind, add datafeed and corresponding proto

Fix async_executor interfaces: 1) Remove all protobufs; 2) Stop after each epoch

refine async_executor_refactor.cc

add some files about datafeed

Revert "add some files about datafeed"

This reverts commit 8ee8133a.

add MultiSlotDataFeed

Interface rework

Creating DataFeedDesc from .proto file, then manipulate it (add/del fields etc) from python side

update datafeed and async_executor to run bow_net demo

update async_executor.py for support set_use_slots

Fix bug

update async_executor.py for support set_use_slots and set set_dense_slots

fix bug that when the number of files is less than the number of threads, it will fetch nan

remove redundant code, and make executor exit when set a illegal queue size

add MultiSlotDesc

Revert "add MultiSlotDesc"

This reverts commit 2e72ebfa.

add some checkpoint in DataFeedDesc

Fix fetch variable

fix code style in async_executor

Fix fetch var

add utest for data_feed

Add comments for python

update utest for data_feed for multithread

fix bug in utest of data_feed

Add comments for python code

Fix pybind.cc with new pybind11 version

add note for DataFeedDesc's set_use_slots function

update data_feed_test for multi-type

Add save_model

update data_feed_test for generate test data file

removed unnecessary interfaces and add comments

add comment for executor_thread_worker

Remove unused code

update data_feed.cc

c++ style check

* commit for code style

* commit for code style

* commit for code style

* commit for code style

* Comment away __init__ in async_executor.py

* clang-format fix test=develop

* use PADDLE_THROW instead of exit(-1); use unique_ptr to manage scope var in data_feed_test.cc

* commit for update code style

* commit for update code style

* Add async_executor demo; Remove some methods
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* commit for update code style

* commit for update code style

* commit for update code style

* update API.spec

* AsyncExecutor
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* AsyncExecutor
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* AsyncExecutor
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* AsyncExecutor
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* Fix API.spec
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* Fix API.spec
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* Fix windows build error
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* FIx windows build error
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* FIx windows build error
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* FIx windows build error
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* Fix Windows Build
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* Fix Windows Build
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* Fix Windows Build
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* Fix code style
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* Fix code style
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* update datafeed

* Fix code style
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* update data_feed_test for test Tensor test=develop

* Fix code style
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* Fix windows build failure
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* Fix code style and windows build failure
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* Fix PYTHON3.5 build failure
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* AsyncExecutor API
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* add doc for scope

* update doc for force_init_on_cpu
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* follow comment test=develop

* update format test=develop

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* HIP cmake.
Enable whole archieve build for pybind library.

Disable two warning.

Rollback to C++11.

Link RCCL to WA gpu kernel loading issue.

Update eigen to fix build failure.

Add more include directories.

Fix O3 build failure.

Update eigen.

fix tensor_util_test segment fault issue

add more macro check in hip.cmake.
we may consider refine hip.cmake to inherit all add_definitions() in parrent scope, in the future.

Fix rocRAND load.

Update eigen to fix gru_unit_op and reduce_op.

Add HIP support to testing.

Update eigen to support int16 and int8 in arg min and arg max.

* add rocprim as cub library used by nv implementation

* Reduce build time in rocprim.

* Add rocprim introduction, remove useless cmake code.

* Remove useless flags and format cmake file.

* add recordio support

* disable the openblas multi-thread on windows since no support
adjust the python script

* code style

* code style
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* add create_recordio_file_reader back

* fix code style
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* fix the gtest.cmake on windows

* fix cc_test on windows

* fix the win build
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* remove fused compile support on windows
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* add the jit support
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* add the jit support, test=develop

* add the jit support, test=develop

* add the jit back
fix compile error on windows

* rollback test=develop

* test case fix

* disable DSO by default on windows

* exclude warpctc_op on windows

* exclude the dynload_warpctc out on windows
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* fix the scripts error
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* disable avx on windows by default
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* re-organize the cmake file

* disable mkl on windows by default

* add warp_ctc back

* fix the dependency

* fix the dependency

* fix the build issue on windows

* remove unsupported flag on windows

* code style

* code style
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* fix issue

* add profiler, parallel_executor back

* clean up the pre-definitions on windows

* fix build issue

* test=develop

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* wip simplify operator framework

* wip

* wip

* done test=develop

* clean test=develop

* fix test=develop

* fix deps test=develop

* fix cpu build test=develop

* fix tensorrt build test=develop

* fix tests test=develop

* fix test=develop

* fix cpu build test=develop

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* fix input<tensor>
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* fix split_ids
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* ElementwiseMul should not support SelectedRows

* fix scale op
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* change GetTensorFromVar() method to GetTensorOrSelectedRowsFromVar()

* fix operator

* refine MultiOutput

* fix MultiOutput
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* disable test_dist_save_load
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* fix elementwise_op
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* add get_sparse_as_op
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* add info for check
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* rename get_sparse_as_op with extract_rows_as_op.
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* elementwise doesn't support selected_rows

* fix regularizer

* remove extract_rows_as
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* fix ci
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* add test for sum_op

* fix regularizer
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*  test=develop

* fix pserver weight decay multi inputs test=develop

Fix code to support cpplint syntax check

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Dry run tests will skip `Op.Run` and just perform job scheduling. It helps to analysis dead lock in PE.

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1. Non utf-8 characters within comments of OPs may lead to protobuf fail to parse_from_string
2. comment out some ops which not supported on windows
3. cuda libs may not be correctly linked to target on windows

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