[Cherry-pick] Fix prune input bug of jit.save

cheryy-pick of #30384

* optimize memcpy perf for kunlun (#30291)

* optimize memcpy perf for kunlun

* remove useless unitest for kunlun mean

* minor

* fix bug that cann't find mkldnn(kunlun) (#30394)

* Add double grad for conv_transpose (#29706)

* add double grad for conv_transpose

* register cudnn conv double grad for depthwise conv (#29807)

* fix bug of celoss when using ignore_index and reduction (#30180)

* fix bug of using ignore_index and reduction,test=develop

* fix bug of celoss when using ignore_index and reduction, test=develop

* improve performance when ignore_index=-100, test=develop

* add test in test_cross_entropy_loss.py for coverage rate, test=develop

* rm comment in test_cross_entropy_loss.py, test=develop

* del  hard code of "float64" in python/paddle/nn/functional/loss.py, test=develop

* change mask to a more simplified implementation, test=develop

* del comment in python/paddle/nn/functional/loss.py, test=develop

* del hard code and change mask to a more simplified implementation, test=develop

* change mask to a more simplified implementation, test=develop

* change mask to a more simplified implementation, test=develop

* fix bug of celoss when using ignore_index and reduction (#30180)

* fix bug of using ignore_index and reduction,test=develop

* fix bug of celoss when using ignore_index and reduction, test=develop

* improve performance when ignore_index=-100, test=develop

* add test in test_cross_entropy_loss.py for coverage rate, test=develop

* rm comment in test_cross_entropy_loss.py, test=develop

* del  hard code of "float64" in python/paddle/nn/functional/loss.py, test=develop

* change mask to a more simplified implementation, test=develop

* del comment in python/paddle/nn/functional/loss.py, test=develop

* del hard code and change mask to a more simplified implementation, test=develop

* change mask to a more simplified implementation, test=develop

* change mask to a more simplified implementation, test=develop

Co-authored-by: NseiriosPlus <tangwei12@baidu.com>

* set expected place in child thread for dataloader

* set device id when set tensor from numpy

* revert tensor_py change

* add compile guard

* fix ci

* fix bug

Change-Id: I3c788e7576688e63181e7f01562529b85a09cc59

* change to tensor copy sync

* change to tensor copy sync

* make copy_to safe when use TensorCopy

* refine code

* add ut

* add cudapinned garbagecollector

* add testcase: cpu place -> cuda pinned place

* Fix server.h include device_context (#30243)

* fix cmake
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>

* 【Paddle.Fleet】Support local save sparse param (#30175)

* add save tensor support
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>

* add sparse embedding & load vars for 2.0 & gloo bug fix (#30306)

* add sparse embedding & load vars for 2.0

Change-Id: I36b59ed5f015189dc9d9d2e34a9357722d369f1b

* fix hdfs gloo

Change-Id: Ia84d579053720ad804183e54c9a04b4f031c79c6

* fix gloo hdfs

Change-Id: I5ab982fd483cddc10adcdef0b8aa83aca976cb9e

* move loadvar/sparse embedding from incubute to static

Change-Id: I57081d3545ad2efab78c72420d2162c0eacaf3a0
Co-authored-by: Ntangwei12 <tangwei12@baidu.com>

* fix datanorm error msg (#30294)

* Optimize the error message of framework. (#30134)

* modify error message based on comments (#30189)

* modify error message based on comments

* edit code according to review.

* Correct spelling according to review.

* fix enforce msg of sum xpu op (#30113)

* enhance error info for py_func (#30138)

* enhance error info for py_func

* update

* fix elugradgrad test fail & error message opt (#30171)

* fix elugradgrad test fail and error message opt

* fix unitest,test=develop

* Update prroi_pool_op.h

fix error message

* opt message,test=develop

* fix ci fail,test=develop

* Refine PADDLE_ENFORCE Error Messages. test=develop (#30149)

Improve some error messages in parallel_executor.cc, conditional_block_op.cc, recurrent_op.cc

* enhance error message, test=develop (#30220)

* fix error message for distribute_fpn_proposals_op (#30116)

* enhance error msgs of fusion_seqpool_cvm_concat_op.cc, test=develop (#30240)

* just add the op error message for the matmul xpu (#30246)

 add the op error message for the matmul xpu

* enhance error message of nll_loss op test=develop (#30125)

* enhance error message of nll_loss op test=develop
Co-authored-by: Nyaoxuefeng <yaoxuefeng@baidu.com>
Co-authored-by: Nxiemoyuan <71377852+xiemoyuan@users.noreply.github.com>
Co-authored-by: NWeiXin <weixin10@baidu.com>
Co-authored-by: NJack Zhou <zhoushunjie@baidu.com>
Co-authored-by: NWilber <jiweibo@baidu.com>
Co-authored-by: NDouble_V <liuvv0203@163.com>
Co-authored-by: NHuihuang Zheng <zhhsplendid@gmail.com>
Co-authored-by: Nzhang wenhui <frankwhzhang@126.com>
Co-authored-by: Nwangguanzhong <jerrywgz@126.com>
Co-authored-by: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>
Co-authored-by: Nlijianshe02 <48898730+lijianshe02@users.noreply.github.com>

* reduce the  occupied size  of memory for the fused pattern of elementwise_add Op and activation Op(relu Op for example) (#29885)

* register OPMaker and Infer Shape Check for fused_elementwise_add (#30259)

[Cherry-pick]Fix the accuracy problem of allclose op when using float64 data type in static mode.(#29890) (#30313)

* Fix the accuracy problem of allclose op when using float64 data type in static mode.

* Format the code style.

* complex gradient matmul  (#29966)

* dot op support complex types

* matmul support complex types

* add test case

* matmul broadcast gradient support complex

* move conjFunctor to complex_functor.h

* change the kron gradient when complex types (#29995)

* type promotion for grad (#30177)

* type promotion for grad

* add type promotion for div op

* fix warning and no grad

[Cherry-Pick] Support vector<double> as type of op attribute and op set_value suppport vector<double> as value (#30126) (#30305)

Cherry-Pick #30126
1. Support vector<float64> as type of op attribute.
2. op set_value suppports float64 numpy.array

* Fix bug for 'save mutiple method'

* To pass coverage.

* edit code to pass coverage.

* edit code to pass coverage.

* add unittest for coverage.

* change for coverage.

* edit for coverage.

[Cherry-pick PR 29913], add View(reuse allocation) strategy on squeeze, unsqueeze, reshape, flatten op (#29913) (#30258)

* add view strategy on squeeze,unsqueeze,reshape,flatten

* add squeeze unittest

* add unittests

* use View strategy as name rather than Reuse Allacation

* fix view api doc

* fix format

* use core.ops when input of reshape2 is Tensor

* fix test_cross_entropy_loss error because of reshape2

* delete selected_rows

* change op_function

* little change

* solve HandleViewBetweenInputAndOutput

Cherry-pick of PR #30208 , this PR added clone method for static Variable so that this interface will be same as dygraph. It fixed some bugs in dy2stat where users called clone of dygraph Tensor.

cherry-pick #28769, add support for place string representation 

* elementwise_add_grad Op optimization  (#29575)

* optimize for long width for elementwise (#29602)

* refine (#29622)

* delete the code for fp16 optimization because it is not faster than common template code (#29715)

* fix the shape choose of vectorize for cuda

* optimization for fp16 elementwise add (#29744)

* Fix the compiler error for half type (#29799)

* refine the compiler error for half2 operation (#29816)

* fix the compiler error when gcc4 cuda9.0 (#29997)

* Support pure fp16 training for AMP API. (#29544)

* add cast ops before and after unsupported fp16 ops.

* Keep partial net in FP32 pattern.

* Support check_finite_and_unscale and update_loss_scaling for FP16 calculation mode.

* Add fp16 support for adam op.

* add multi precision attr for adam.

* Fix the bug of test_multi_precision_fp16_train UT.

* Code format for CI.

* Fix the redefine error about MPTypeTrait on windows.

* fix bugs of the _create_accumulators func in Momentum.

* fix bug when inserting post cast op.

* Add the update_loss_scaling op in allow_set of UnusedVarCheck.

* Update for ci coverage.

* Add some doc for OptimizerWithMixedPrecision.

* Fix the code style.

* Imporve the doc of `amp_init`.

* Change for fp16 testing if users have the infer program defined in separate way.

* Remove tensor copy in the update_loss_scaling op. (#29426)

* remove tensor copy in the update_loss_scaling op

* not use thrust.

* fix some cuda memory access error.

* fix tensor shape bug

* fix op_num

* clean code

* Quantization supports 2.0 APIs

* Fix the error of save_quantized_model

* Optimization grad merge performance (#29784)

* [fleet] combine amp and gradient merge, test=develop (#30086)

* fix assign_op_xpu concat_op_xpu warining (#30120)
Co-authored-by: Nliuyuhui <liuyuhui@baidu.com>

att, cherry-pick of #30219

* fix dynamic to static error

* delete paddle.nn.functional.assign

[Cherry-Pick 2.0] In creation.assgin, reuse implamention code of layers.tensor.assign to avoid maintain two code (#30227) (#30236)

cherry-pick #30227

[cherry-pick] [Dy2Stat] Don't convert to paddle.shape if var_x.shape is not negetive #29965 (#30235)

* [Cherry-Pick 2.0] [Dy2Stat] Don't convert to paddle.shape if var_x.shape is not negetive (#29965)

1. When x is Variable, call nn.shape(x) only in following cases:
 1）The shape of x is used in control flow condition.
 2）The dim to be used is negetive
2. When x is Variable, but x.shape or x.shape[idx] doesn't contain negetive value, don't convert to paddle.shape()

* [Cherry-Pick 2.0] [Dy2Stat] Use Paddle2.0 api paddle.tensor.array_* (#30156)

* Optimizer trans momentum (#29597)

* 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.

* add alias for fluid.contrib.mixed_precision (#29562)

* add alias for fluid.contrib.mixed_precision

* add static.amp into setup.pu.in (#29621)

* add static.amp into setup.pu.in

* add unittest for api

* fix a bug in multi_precision_fp16 unittest. (#29756)

[cherry-pick 2.0] Fix bug: In dynamic mode, if start or end is negetive, __getitem__  return wrong result(#30003) (#30146)

1. when slice_item is a slice:
 1) the start of __getitem__ should be std::max(start, 0) if slice
 2) the start of __getitem__ should be std::min(end, dim)
2. when slice_item is an integer, it should be in [-dim_len, dim_len)
3. Fix error message to use accurate data

1. Type of index: int, slice(step must be 1).

2. Type of value:
 (1) int32, int64, float32, bool;
 (2) numpy.array(int32, int64, float32, bool);<Note: float64 is not supported>
 (3) paddle.Tensor(int32, int64, float32, float64, bool);