* unify infer_shape func calling

* support set grad infer shape fn for custom op

* unify infershape in new executor and eager

* remove todo comment

* revert infershape in operator

* add maxunpool3d op

* update doc for maxunpool3d op

* update doc for maxunpool3d op

* update doc for maxunpool3d op

* update sample code for maxunpool3d

* add maxunpool1d op

* update some code for maxunpool1d

* refactor flatten grad kernel

* fix bugs when run ci unittest

* fix bugs when use default GetExpectedPtenKernelArgs

* xshape sometimes is has null holder ,fix this bugs

* add mish operator and api

* remove redundant code and modify grad_atol of mish unittest

* modify mish code to be consistent with other activation implementation

* add multi tensor for adam

* add merged_adam op

* refine code

* refine adam compute logic

* delete the modification of dygraph

* CI

* check CI

* modify the retrun value of get_lr

* Add fp16 support for scale/bias for fused_layernnorm_residual_dropout_bias op.

* move mid api and rename kernel

* use empty kernel

* reuploaded files

* Changed year from 2021 to 2022

* minor change

* fixed requirements.txt file

* move eigen/reduce.h imple into cpu/reduce.h

* ctx to dev_ctx

* Handled special sum_grad_op code gen in Eager Dygraph

* Fixed merge issues

This reverts commit c0e2b98e.

* bug fix

* remove blank

* fix the wrong filename

* first commit

* adjust the full kernel

* remove creation.h

* use Empty to create tensor in full

* move gpu_impl of elementwise kernel

* change copyright to 2022

* added exp activation and use_dst_for_bwd kernels

* CI RERUN

* minor change

* init commit: new elem_mul_grad

* add template speciallization for complex in multiply

* reply review comments

* correct dx and dy computation when T is complex

* reply review comments

* update to new ReduceRunctor

* mul-output broadcast

* call functions

* call functions with comments

* remove comments

* Fix bug of GetAllocatorInterfaceTest

* Replace some shared_ptr with unique_ptr

* Change Alloc call

* make post training quant API support dataloader