* support static graph code-gen for squeeze op

* generate static graph code of unsqueeze

* refine op name

* add extra output in op_compat

* remove debug log

* clean custom_xpu testcase test_static_pe

* use assert_allclose to solve precision error

* adjust precision

* flatten tensor

* fix flatten

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00ef468d2dad0e38b3da06295ed62990d20.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

* reset
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* fix_mac_build_problem

* fix_mac_build_problem

* fix_mac_build_problem

* Fix default GetExpectedKernelType for ops supported tensor attrs

* rm legacy

* clear in_legacy

* fix tracer

* fix_static_problem

* test

* fix_static_problem,test=document_fix

* [fluid remove] rawconv

* [D2SCinn]Support deliver skip_gc_vars into Graph

* fix unittest

* fix copy

* auto parallel bf16

* fix load into memory

* fix load into memory

* fix code style

* rm legacy dygraph part7

* rm non_static_mode

* modify

* modify

* add static test

* set static for lstm_cudnn test

* reset tracer

* reset varbase

* fix

* fusedAttenGrad_noGrad

* code style fix

* add ut

* remove unnecessary log

* rm legacy layers part6

* rm non_static_mode

* modify non_static

* minor change

* rm loss

* rm in_legacy part8

* minor change

* rm legacy nn part2

* rm _non_static_mode

* modify

* modify unpool test

* modify unpool test

* modify loss

* keep legacy for layer_norm

* Add CheckPRTemplate.py;test=document_fix;test=prtemplate

* Add CheckPRTemplate.py;test=document_fix;test=prtemplate

* Add CheckPRTemplate.py;test=document_fix;test=prtemplate

remove fluid.contrib.fused_elemwise_activation, sequence_topk_avg_pooling, var_conv_2d, match_matrix_tensor and tree_conv (#49331)

* add skip run

* alloc minimum memory

* skip check_size in Alloc

* skip check_size in Alloc

* skip check_size in Alloc

* fix cases when tensor is initialized or empty

* alloc empty output for place info

* add test

* increase timeout

* format code

* skip cpu

* add cudnn_deterministic

* fit for hostAlloc

* follow comments

* change check_size to fake_alloc

* generate the static op of some ops

* add the VERSION of pixel_shuffle

* change the API doc of isclose

* change the API doc of isclose

* fix the isclose op comment

* einsum support 0d tensor.
1. support 0d tensor in multi-operands.
2. add 9 unittests for einsum 0d tensor.

* override NVIDIA_TF32_OVERRIDE to avoid accuracy problem in 11.2 and 11.8

* update pypi doc

* update pypi doc

* update pypi doc

* empty commit, re-trigger all ci
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* [AutoParallel] adapt for clip

* fix unittest

* enable_static

* fix dist_fill_constant_batch_size_like

* fix process_mesh.shape

* update cond of modifying shape_list

* rm legacy fluid part4

* rm non_static_mode

* minor change

* modify initializer

* rm legacy for initializer

* fix dataloader test

This PR increased the delta in unit test for CUDA 11.8. The reason of this fix:
(1) It seems CUDA 11.8 has higher delta in accuracy result. Our other targets for seresnext under parallel executor have already added delta such as CPU, all reduce test cases, so we did same for GPU base case with CUDA 11.8
(2) A new executor is under developing in PaddlePaddle team, so the unit test for old executor can be relaxed.

* delete old dygraph pylayer