* fix compile error on jetson platform

* [OPs] Bug fix, fix the segment mean for illegal syncthreads usage. (#32596) (#32610)

* [OPs] Bug fix, fix the segment mean for illegal syncthreads usage.

* remove packages in __all__

* create new public api level paddle.callbacks;paddle.hub;paddle.utils.unique_name

Co-authored-by: Zhong Hui <zhonghui.net@gmail.com>

* add raw program, test=develop

* [Paddle-TRT]fix fc_op

* [Paddle-TRT]fix fc_op

* [Paddle-TRT]fix fc_op

* test_trt_subgraph_pass.py

* fix elementwise_op

* fix elementwise_op

* fix elementwise_op

* fix elementwise_op.cc

* op_teller.cc

…utor (#32792)

)

Remove np Deprecation Warning since `np.bool` is alias of `bool`

The warning report from test:

```
2021-04-30 15:29:32 /workspace/Paddle/build/python/paddle/fluid/framework.py:689: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
2021-04-30 15:29:32 Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
2021-04-30 15:29:32   elif dtype == np.bool:
2021-04-30 15:29:32 /workspace/Paddle/build/python/paddle/fluid/layers/utils.py:77: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
2021-04-30 15:29:32   return (isinstance(seq, collections.Sequence) and
2021-04-30 15:29:32 /workspace/Paddle/build/python/paddle/fluid/tests/unittests/test_cond.py:99: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
```

* refine update_loss_scaling npu kernel

* add mutable_data

* change Zerolike op to MemcpyAsync

* delete useless code

* add found_inf_vec

* add memcpy if not finite

* fix unittest

* add c_identity_op_npu

* add trainprofiler for heterps in oneps; test=develop

* add set_use_ps_gpu; test=develop

This reverts commit 92adece.

* pslib with cmake

* heter util

* vlog

* heter server test

* add dtor

* cmake

* fix find_unused_parameters default value

* fix retry in download when exception occurs

* polish test decoupled py reader

* remove bin file

…32789)

* add varbasecopy func to fix the paraBase type bug in layers.to API

* overload _copy_to func for ParamBase

* add xpuplace

* add waiting varbsecopy completion when not blocking

* fix dst_device bug

* modify varbase to shared_ptr

* fix cpp lint
* fix save/load with unexpected value
* fix save and user interface

#32840)

* fix dataloader exit hang when join re-enter. test=develop

* Fix comments in framework

* Update framework.py

* fix windows CI

* fix windows CI

* add use_global_beta_pow

* add use_global_beta_pow

* update npu kernel

* update python api

* refine code

* add ut for use_global_beta_pow

* fix npu kernel

* add ut for api

* add ut for exception

* add ut for save/load

…he sample code's required. (#32766)

* add unittests

* add find_last_future_line_end

* extract_code_blocks_from_docstr and its testcases

* test_codeblock_before_examples_is_ignored

* sampcd_extract_to_file 拆为两步

* update the codeblock element's format

* code-block directive has no value options

* insert the CODES_INTERTED_INTO_FRONTEND

* using the new func insert_codes_into_codeblock

* get_test_capacity and is_required_match

* using the new funcitons in sampcd_extract_to_file

* add some comments and refactor functions

* using logger instead of all the print

* remote wlist

* collect summary info, and print them

* call get capacity

* update summary format

* print the apis that don't have sample codes.

* print the samples the consumed time more than 10s.

print time

* update unittest testcases

* solve ResourceWarning: unclosed file

* run tools test seperately

* python2 does not have nonlocal keyword, using dict variable instead

* remove unused import, rearrange a series of conditional statements.

* remove wlist.json and its check approval

* remove wlist.json and its check approval

#32851)

* fix two error message

* fix two error message

* fix error

* fix error

* fix error

* fix error

* fix some error message

* fix some error

* fix error

* fix some error

* fix some error

* fix some error

* fix one error

* fix some error

* fix seven error message

* fix error

* fix error

* fix error

* fix error

* fix some error message

* fix error

* fix some error

* fix some error

* fix four error message

* fix error

* fix error

* doc of paddle.save/load

* polish doc of paddle.save/load

* BugFix with ParseInputDataType from LodTensorArray

* BugFix with ParseInputDataType from LodTensorArray

* delete unused files.

* fix precision of mp

* fix bug of seed

* fix dp

* print group

…32941)

* fix the paddle compare op for the broadcast

* fix compare op in for in the cuda device

* unit double

* unit double

* Add param_guard in ParameterList to support @to_static

* Refactor param_guard of @to_static

* fix unittest failed

* add more unittest

…st_dgc_nccl (#32946)

* Enhance grep syntax to avoid random failed

* Enhance grep syntax to avoid random failed

* Update paths to Quant models

* Update description

)

* Output indices of top_k npu op change to int64

* fix accuracy npu bug

* fix errors

* change cast method to FillNpuTensorWithConstant

* change cast method to FillNpuTensorWithConstant

* BugFix StaticAanlysis with gast.Subscript

* remove codes

* remove ut from parallel_ut list

* remove some timeout ut

* Fix slow data reading, In the old version, one epoch read time of this data set was about 5371 seconds(MacBook Pro Retina, 13-inch, Early 2015 2.7 GHz), and a batch took 211 seconds, It's too painful to use. Now decompress the data in advance (about 10 seconds). Each epoch of reading takes about 3 seconds(MacBook Pro Retina, 13-inch, Early 2015 2.7 GHz), and a batch takes 0.017 seconds more.

* Run CI, test=allcase

* fix qq group number. test=document_fix

 fix qq group number. test=document_fix

* fix qq group number. test=document_fix 

fix qq group number. test=document_fix

* [Rocm] fix test of random_crop_op

* [Rocm] fix test of random_crop_op

* [Rocm] fix test of random_crop_op & simple_rnn_op

* [Rocm] fix test of random_crop_op & simple_rnn_op & logsumexp

* [Rocm] fix test of random_crop_op & simple_rnn_op & logsumexp

* [Rocm] fix test of random_crop_op & simple_rnn_op & logsumexp

* [Rocm] fix test of random_crop_op & logsumexp

* CI skip inference test if only python files modified, test=develop

* fix compilation error on ROCM, test=develop

* fix cmake error on PR-CI-ROCM-Compile, test=develop

* fix test_paddle_save_load and test_paddle_save_load_binary

* fix unittest:test_paddle_save_load and test_paddle_save_load_binary

* delete *.pyc

* add comment for unittest

* add complex template file

* add numtraits for complex template

* add complex template type register

* modify specify template of complex

* modify specify template of complex

* modify specify template of complex

* modify specify template of complex

* make TensorCheckerVisitor support complex type

* fix operator= error

* add complex template

* add complex template type

* add complex template type to pyarray transform

* add complex template type to pyarray transform

* remove complex type for dlpack register

* set dlpack supprot complex type

* set dlpack supprot complex type

* set dlpack supprot complex type

* remove explict for complex constructor

* add complex unit test file

* Support convert sublayers in Sequential Container

* remove paddle.jit.set_code_level

* fix gather op and add logsumexp op on kunlun

* update xpu depence

* update tests and fix elementwise_add

…acy npu op (#33016)

* cast indices and label if their type is not consistent

* fix bug

* add unittest