Adapt tensor output_size for conv2d_transpose and depthwise_conv2d_transpose

* relace fill_zeros_like op with fill_any_like op in backward.py and tensor.py

* Remove unnecessary comments

* modify create op_desc param

* enable memory optimize when fp16.

* optimiza params sync between cpu and gpu.

* clear extra attrs of reduce op in opmaker

* fix reduce_mean

* first commit

* conver done

* correct format

* layernorm_shift_partition

* correct convert

* redefine plugin

* runable

* bug fix

* modify ShiftPartitionPattern

* correct

* add UT

* modify ut

* compile

* modify enforce

* modify UT

* support iterable dataset for auto parallel

* add split_data proto

* fix unittest bug

* fix recompute bug

* update cmake

* [MLU] fix sync_bn of mlu and add unittests

* [MLU] remove redunant code of pytest

* first commit

* merged with develop

* merged with develop

* fix merge sequential one dims bugs

* scale kernel

* endline

* add inplace

* fix merge conflicts

* Merge conflicts

* add compile-time infermeta logic for stack infermeta.

* add unittest for stack infermeta where -1 exists in shapes.

* remove backward changes.

* fix amp kernel

* update to remove PADDLE_WITH_XPU macro

* add tensor array

* fix ci bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* update by comment

* update code

* using mkldnn

* using with mkldnn macro

* fix use mkldnn

* concat workaround

* CI rerun

* Enable startup program for standalone executor

* Disable test_py_reader_using_executor

* Fix test_parallel_executor_mnist

* Fix CI errors

* Fix CI errors

* update protobuf format

* fix protobuf content

* fix file mode

* fix compiling error when gpu not exists

* fix compiling error when gpu not exists

* fix compiling error when gpu not exists

* fix compiling error when gpu not exists

* support rocm

[Paddle Inference] fix bugs in quant_conv2d_dequant_fuse_pass when weight is shared  between ops (#45719)

* fix_old_format

* fix bug in quant_conv2d_dequant

* fix bug in quant_conv2d_dequant

[Eager, Performance optimization] reduce_all interface move reduce_all flag from python to C++ (#45744)

* [Eager, Performance optimization] move reduce_all flag from python to c++

* polish reduce_all

* fix ci error

* fix errors

* [Eager, Performance optimization] reduce_max / min polish

* polish reduce_max / min

* update min/max kernel reduce_all logic

* fix a mistake

* fix ci errors

* fix errors

* [Phi] fix phi compile option for jetson

* Update phi.cmake