* add layerwise learning rate for adamw

* fix format

* add unitest

* add NotImplementedError

* add gpu unitest

* update gpuplace

* add anchor_generator test

* add anchor_generator test

* add clip convert test

* add swish convert test

* modify
Co-authored-by: Nxiaoxiaohehe001 <hiteezsf@163.com>

* new function: share third party cache among servers to fasten build speed

* modified code according to zhouwei25's comment

* add wget install step, move cd build to the last of if condition

* block note and error of third_party share; change bce upload method

* change third_party sub_dir in bos, since third party in different cuda version cant share

* set sub_dir by get nvcc version

* change third_party local path to be same with bos path

* add anchor_generator test

* add anchor_generator test

* add clip convert test

* delete wrong file
Co-authored-by: Nxiaoxiaohehe001 <hiteezsf@163.com>

Implement FunctionTraits to support two kinds of elementwise functor and remove some old codes for broadcast. (#35688)

delete blank lines at the beginning of the file

1. optimize the error message of softmax_with_cross_entropy_op;2. add input value check for cross_entropy, if the dimention of input is zero, raise error. test = develop

* add dropout convert test

* modify dropout convert test
Co-authored-by: Nxiaoxiaohehe001 <hiteezsf@163.com>

* add affine_channel test

* modify affine_channel convert test
Co-authored-by: Nxiaoxiaohehe001 <hiteezsf@163.com>

* [NPU] conv2d_transpose_grad, test=develop

* remove debug files, test=develop

* fix bug, test=develop

* [NPU] fix test_conv2d_transpose_op_npu, test=develop

* add_roi_align

* add_roi_align

* add_roi_align_teller

* add_roi_align

* add-roi_align

* add_concat_teller

* add_concat_teller

* add_concat_teller

* add_concat_teller

* add_concat_teller

* add_bn_

* add_bn_teller

* add_bn_teller

* add_bn_teller

* add_bn_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* add_reshape_teller

* [NPU] fix npu pr

* Add solutions to PyLayer which is unsupported in DataParallel

* modify note format for parallel.py

* modify docs of dataparallel

* add docs of dp with pylayer

* modify docs format

* modify example format

* change example of dp with pylayer

* add unittest for dp with pylayer

* modify ut

* merge latest codes

* update

* modify for CI-Coverage

* modify text-indent

Intergrate StandaloneExecutor in Static.Executor Interface with FLAGS_USE_STANDALONE_EXECUTOR (#35628)

* Intergrate StandaloneExecutor in Static.Executor Interface with FLAGS_USE_STANDALONE_EXECUTOR

* Enhance unittest and clean code in StandaloneExecutor

* polish unittest

add fill_ backward

* Add empty_cache api to release idle gpu memory hold by allocator,test=develop

* Add empty_cache api to release idle gpu memory hold by allocator,test=develop

* Add empty_cache api to release idle gpu memory hold by allocator,test=develop

* Fix test coverage problem for empty_cache

* delete redundant check for empty_cache

* fix the problem of empty_cache's doc

* delete the nvidia-smi comment in doc of empty_cache, test=document_fix

Revert "Implement FunctionTraits to support two kinds of elementwise functor and remove some old codes for broadcast. (#35487)" (#35686)

* fix interpolate launch error, test=develop

* fix area mode for interp, test=develop

Fix CPU CI build-time

Implement FunctionTraits to support two kinds of elementwise functor and remove some old codes for broadcast. (#35487)