* fix inference prepare data bug

* rename functions

* typo

* typo

* typo

* UT correct

* correct condition

* correct condition

* ci coverage

* morelines

* fix ci coverage

* fix stop_gradient in paddle.to_tensor

* make to_tensor copy if data is varbase

* add ut

* refine sample code

This PR made these changes to support double grad:

1. Translate `paddle.grad` to `paddle.static.gradients` to support double grad for dy2stat.
2. Fix IfElseTransformer bug which may not change value if "Store before Load" variable is in "Store" statement is in IfElse conditional statement
3. Add `DOut` to support double grad variables in `run_program_op`
4. Add support for renaming for double grads for `jit.save/load`

* fix hang of hybrid parallel

* fix new_group for hang problem

* Dygraph Recompute support AMP

* dygraph recompute: update unitest

* add progressbar for datasets downloading

add an assertion to ensure that the size of each dim of the parameter to be created is larger than 0. (#33265)

* fix the bug of div operation result using scale method do not exactly equal the result of elementwise_div method

* remove __div__ , __rdiv__ methods which do not define in python3

* modify the note

* add test case

* add test case

* update mp

* add trt convert op: reshape

* reshape

* fix

* input: Shape,ShapeTensor

* Add some comments

* fix spawn default nprocs get error

* polish error message

* fix syncbn

* Align download_filename with cached_filename

* replace and remove complex64/128 types in custom OP and other files

* fix custom_tensor_test fail bug

* fix custom_conj_test fail bug

* fix dispatch_test_op build fail bug

* enhance error message for conv

* fix ci coverage

* improve group norm cpu precision and performance

* add unit test to group norm

* support params groups, test=develop

* simplify updating opt attr

* update according to review

* fix uint8 check in assign

* fix assign unittests

* fix xpu test_assign

* add more conditions

* dynamic shape

* ut

* correct contidions

* commnent

* remove rebandadnt op type

* remove rebandant if

* Add GLIBCXX_USE_CXX11_ABI flag

* fix typo

* fix typo

* run pre-commit

* use HOST or DEVICE instead of HOSTDEVICE in implementation of lgamma op

* add test for fp32

* add lgamma to op_threshold_white_list

* add cuda kernel for lgamma kernel

* modify numeric grad delta

* fix small English issue

* change LaunchElementwiseCudaKernel to LaunchSameDimsElementwiseCudaKernel

* modify API nn.Bilinear's doc, test=develop

* speed up paddle.add paddle.nn.Linear, test=develop

* fix bug, test=develop