* optimized transformation form tensor to numpy, test=develop

* Modify fetch op handle, from memcpy Sync to memcpy Async, test=develop

* modify CUDAPinnedPlace to CPUPlace, test=develop

* modify CPUPlace to CUDAPinnedPlace, and set default inplace to false, test=develop

* revert fetch_op_handle, add fetch_async_op_handle, test=develop

* revert fetch_op_handle, add fetch_async_op_handle, test=develop

* fix error msg report, test=develop

* fix bug in cpuplace, test=develop

* fix bug in unmerge and tensorarray modle, test=develop

* fix bug, double copy gpu memory, test=develop

* fix chenweihang¡¯s review advice, test=develop

* fix eigen in push sparse; fix hadoop command
test=develop

* add log in load_combine_op
test=develop

* refine manual seed

* fix ci problem

* fix unittests

* fix unittest

* set is_init_py=false in manual_seed

* fix unittest

* fix bernoulli_op

* fix(unittest): change random_seed to manual_seed

* 🐞fix(unittest): fix manual_seed

* trigger ci

* fix test_sentiment

* fix test_imperative_save_load

* fix test_uniform_random_op

* fix test_uniform_random_op

* fix test_jit_save_load

* merge develop

* fix manual_seed

* fix manual_seed

* use global engine

* use shared_ptr

* fix double free

* fix bug

* fix bug

* fix bug

* fix test bug

* fix test bug

* fix test bug

* fix ci

* Fix cpu quantize placement pass

* Include string lib

fix bug that can't print int8_t 

* Update Paddle-Lite commit hash.

* Add BF16 data type to VarTyp protobuf message.

add collective op for cpu using gloo and paddle.distributed.* apis

* add cudnn related strategies to DistributedStrategy

* optimized transformation form tensor to numpy, test=develop

* optimized transformation form tensor to numpy, pass pre-commit, test=develop

* modify fetchophandle zerocopy to deepcopy in PE&CUP, test=develop

* modify py:array construct, test=develop

* fix _fetch_var to use deep copy, test=develop

add the isnan, isfinite, isinf api for the paddle 2.0

* support Baidu AI Accelerator
  * test=kunlun

* minor
 * test=kunlun

* support xpu op in separate file
 * test=kunlun

* update XPU error message and remove duplicated code

 * test=kunlun

* minor
 * test=kunlun

* minor
 * test=kunlun

* polish framework error msg part 5

* revert enforce change

* refine error type

* trigger ci check

* polish details by review comment

* Conv2d_transpose and mul support channnelwise quantization, test=develop
* Skip collecting out threshold for output tensor of which the type is not fp32 or fp64, test=develop
* Fix error in test_user_defined_quantization, test=develop
* Add depthwise_conv_bn_fuse, test=develop
* Add conv_transpose_bn_fuse_pass for post_training_quant, test=develop

test=develop

* expose and unify the Tensor concepts to the user

* expose tensor to user

* add copy place for Tensor

* add copy place for Tensor

* add note

* add macro PADDLE_WITH_CUDA

* remove RUN_TYPE=DIST

* fix some error

* move paddle.fleet to paddle.distributed.fleet

* add unchaged infershape function

* add broadcast infershape function

* fix bug

* rename infershape functions

* add UnaryOpUnchangedInferShapeCheckAxis

* add error message

* add test for common infer shape functions

* dont update existed ops

* dont update op_desc.h

* add more test

* add error check, refine error message

* fix loaded var suffix repeat error

* use new dygraph name for loaded param

add lamb to fleet meta optimizer

* add encrypt for inference lib

* fix code;test=develop

* fix test; test=develop

* bug fix; test=develop

* add MakeCipher;test=develop

* fix bug;test=develop

* move MakeCipher to paddle space; test=develop

* fix include dir ;test=develop

* add include dir; test=develop

* move include; test=develop

* move include; test=develop

* fix for windows ci

* fix cmake; test=develop

* fix bug

bug fix

* add paddle.fleet.AsyncOptimizer
Co-authored-by: Ndongdaxiang <dongdaxiang@baidu.com>

* Change use_quantizer attribute name and data type

* Fix problem with setting attribute

* Add changes due to review

* Small change in function

* Restore use_quantizer attr for compatibility

* fix large scale KV 
* fix single training using async ssa graph