* update requirements.txt and setup.py.in

* update requirements.txt setup.py.in setup.py

This reverts commit 2c444dfa.

* add for-else

* add * for unpacking

* [CodeStyle][isort][UP019] sort imports and update deprecated type annotation in paddle/jit/api.py

* Revert "[CodeStyle][isort][UP019] sort imports and update deprecated type annotation in paddle/jit/api.py"

This reverts commit 0ca4d52c900199126e6433057d1514dbf9d4ee07.

* update deprecated typing

* Fix param and out grad names in dy2st for high order grad

* replace matmul with matmul_v2 in fuse passes

* Remove fusion logic from matmul

* removing fusion methods

* add proper name

* adjust namespaces

* move fc from fluid to paddle2.0

* fix unit test

* fix some examples

* fix some examples

* remove fluid.save_dygraph and fluid.load_dygraph use paddle.save and paddle.load instead

* move Sequential to paddle.nn

* modify convert_call_func.py Sequential reference

* remove related unitests

* remove fluid.dynamic.Sequntial

* test remove conver_call_func

* fix conflicts

* fix typro

* fix unitests

* fix sample_code

* fix unitest

* fix __init__

* Implement conv2d_fusion NHWC format using CUTLASS
* Add unit testing for CUTLASS Conv in inference
* Add experimental API for CUTLASS.

* [OpAttr]Fix Ignore AttriteTensor in IndicateDataType bug in grad_op

* add GetExpectedKernelType

* [Zero-Dim] reshape/reshape_/reverse 0D support

* rm comment

* change paddle.to_tensor to paddle.full

* fix docs

* update paddle.full

* relu flops all

* add annotations and tests

* revision for codestyle

* bugfix: fix bugs in Indexable and support LayerDict

* fix bugs.

* check weight shape of conv1d_transpose

* add unittest case

* add custom_cpu testcase

* update test_custom_device_setup

* update path to custom_runtime

* fix cmd wait

* test Linux only

* setup once

* integrate to one run_cmd

* add pip install

* change timeout

* add debug string

* add debug string

* add debug string

* use os.system and change module name

* add runtime

* add more debug message

* continue debug

* timestamp

* fix testcase import bug

* remove error message

* set TIMEOUT property

* delete batch_norm

* test

* test

* test

* test

* test

* recover cmake_gen

* debug

* 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 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

* 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

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