* add nearest_interp_v2 on kunlun

* add nearest_interp_v2 on kunlun

* [ROCM] add rocm 3.5 and 3.9 dockefile, test=develop

* [ROCM] update rocm bin path, test=develop

* [ROCM] add dockerfile for rocm 3.5 amd 3.9, test=document_fix

* [ROCM] fix code stype failure, test=document_fix

* fix fleet for multi-stream

* fix memcpy for ncclid

* use sync to solve move operation

* Add approval for PR-CI-OP-benchmark, test=develop

* dont show token in log, test=document_fix

* merge amp related function in Momentum from paddle.fluid.contrib.optimizer into paddle.optimizer.

* Add unittest for 2.0  Momentum API.

* fix some bugs in weight_decay.

4 APIs: array_length, array_read, array_write, create_array

Add Retry Logic to CublasHandlerHolder to avoid random unittest failure.

* fix flops

* fix flops

[Dy2Stat] Fix bug for loop: a variable is used and created in loop, but used before created (#29769)

* add double grad for conv_transpose

* Test compilation time with less parallel count, notest, test=windows_ci

* optimize rules of Unity Build, notest, test=windows_ci, test=windows_op

* limit parallel counts used only on GPU, test=develop

* remove limit of argument /m:8 on Windows, test=develop

* - Reimplemented elementwise_add grad

- lint

* - fix after review

* - Fix to fix after review

* upgrade oneDNN with GRU INT8 optimizations

* fix test

Enable jit.save to Save Without Running.

Support to transformfor ele in var stms in which var is a slice of Tensor.

* delete no need to calculate inputs in dygraph op_test

* delete no need to calculate inputs in dygraph op_test

Before this commit, test_slice use old api `dygraph_to_static_func` to use Dynamic-t-Static and use Executor explicitly，which is not recommended to users.
After fixed, use recommended API `paddle.jit.to_static` to replace `dygraph_to_static_func`, which won't trigger the random exception on coverage CI.

fix isfinite_v2_op OpProtoAndCheckerMaker AddComment bug 

Unit test reported memory not enough on CPU machines. Reduce batch size again.

* update to_tensor en docs

* add conj op for complex types

* add conj for complex types

* add more test case

* add conj_op test

* modify conj api and impl

* add complex type for fill_constant_op xpu

* add setConstant for complex type

* remove complex conj test file

* user define grad for test_conj_op

* add test case for static mode of conj api

* modify conj doc

* change input args name to x

* remove useless codes

* conj support real types

* add conj test case for real number

* enable_use_gpu has higher priority than FLAGS

* update.