* fix model_bhecnmark ci

* fix model_bhecnmark ci

* update conda build script for cuda11

* update conda build script

* modified wheel name

* update conda_build

* fix error

* add cudnn8.1 for cuda11.2

* fix format error

* cast indices and label if their type is not consistent

* fix bug

* add unittest

* fix gather op and add logsumexp op on kunlun

* update xpu depence

* update tests and fix elementwise_add

* Support convert sublayers in Sequential Container

* remove paddle.jit.set_code_level

* 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

* 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

* 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

* [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

* 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

* remove ut from parallel_ut list

* remove some timeout ut

* BugFix StaticAanlysis with gast.Subscript

* remove codes

* 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

* Update paths to Quant models

* Update description

* Enhance grep syntax to avoid random failed

* Enhance grep syntax to avoid random failed

* Add param_guard in ParameterList to support @to_static

* Refactor param_guard of @to_static

* fix unittest failed

* add more unittest

* unit double

* unit double

* fix the paddle compare op for the broadcast

* fix compare op in for in the cuda device

* fix precision of mp

* fix bug of seed

* fix dp

* print group

* delete unused files.

* BugFix with ParseInputDataType from LodTensorArray

* BugFix with ParseInputDataType from LodTensorArray

* doc of paddle.save/load

* polish doc of paddle.save/load