* adapt lazy init and fix pass

* add unittest

* update comment

* fix amp and sharding

* remove clip_by_norm

* convert_call support staticmethod for class.

* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* add unittest for staticmethod convert_call

* fix bugs

* add unittest for item interface

* fix bugs

* change to np.testing.assert_allclose

* code format

* fix comments.

* code format

* Enhance slice to support 0 dims Tensor

* Add UT

* modify slice infershape

* code style

* modify slice_unittest

* simplify size op

* trans to cuda manuly

* fix copy error

* add audio feature dataset

* fix coding style

* fix coding style2

* rm librosa

* rm voxceleb

* rm librosa in test

* add scipy fftpack

* add functional

* fix setup

* fix setup2

* rm colorlog

* refactor dataset __init__.py

* fix converage

* fix librosa import error

* fix windows test

* fix windows ci

* rm datasets

* fix setup

* remove testdata

* add librosa in requirement

* add librosa in requirement2

* change librosa to 0.8.1

* update ci docker

* fix ci error

* fix ci error2

* fix ci coverage

* fix converage

* fix coverage

* rm audio_base in test, notest,test=coverage

* fix copyright

* rm backend

* rm compliance&&add function test

* fix setup

* fix windows

* fix windows2

* fix test timeout

* fix ci time issue

* rm test_audio_feature

* avoid windows isssue, tmp

* note windows isssue

* skip windows issue

* fix dtype in layers.mfcc && fix ci-static-check

* add relative accuracy

* modity API.spec

* skip cuda11.2 test

* skip cuda11.2 test2

* skip cuda11.2

* 1. fix non-local error while dealing push_pop names
2. escape "'" in push_pop_names to avoid syntax errors.
3. unified the non-local stmt creation processes in getter and setter.
4. split the nonlocal_names and getter/setter names.

* fix bugs

* 1. revert setter and getter, push_pop_names must have non-local

* fix bugs.

* code format

* support more op for high level

* add unit test for high level op

* remove unnecessary comments

* add gemm_epilogue

* xpu-paddlepaddle-40 [任务] fused_gemm_epilogue 支持 test=kunlun

* [XPU] update xdnn to 0906. test=kunlun

* [XPU] update xdnn to 0907. test=kunlun

* fix test_custom_relu_op_jit windows error

* polish assert format

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

* 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

* add compile-time infermeta logic for stack infermeta.

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

* remove backward changes.

* add tensor array

* fix ci bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* update by comment

* update code

* Enable startup program for standalone executor

* Disable test_py_reader_using_executor

* Fix test_parallel_executor_mnist

* Fix CI errors

* Fix CI errors

[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