* support auto generate for static op reduce_amax

* set reduce_amax attr 'axis' type as IntArray

* update

* update

* update

* update

* update

* update

* update

* update

* support auto generate for activation_op relu6

* add generated_static_op for activation_op in CMakeLists.txt

* [phi] autogen code tril_triu

* [phi][api]fix tril_triu_grad args

* [fluid] clean cmake; [phi] fix infer_meta

* static graph autogen code support for softmax op

* bug fixed

* fix PR-CI-Windows error

* fix CI error

* bug fixed

* fix conflicts

* reorder MatrixRank

* fix

* fix

* fix

* fix

* fix

* add autogen code support for rnn op

* fix bug

* fix bug

* fix bug in parse args

* fix bug

* recover legacy_*.yaml

* change 'Out' to Output

* support auto generate static for randperm

* remove enforce in randperm infermeta

fix merge conflicts

* support auto generate static for randint

* move seed from extra to attrs

* autogen embedding

* deal

* fix bug in CompatMetaTensor::share_lod

* support auto generate static for gaussian (gaussian_random)

* move gaussian_random_batch_size_like Kernels from gaussian_random_op.* to gaussian_random_batch_size_like_op.*

* change op with xpu

* change range yaml

* fix bug in generate_op.py

* support auto generate static for one_hot_v2

* format

* add fused_yaml fused_backward

* fix eager_funciton bug

* add some comment of fused yaml file

* add 'support_dygraph_mode' configuration in fused yaml

* delete some 'fused_api.h' in include file

* add fused flag in api_gen

* support assign op

* support assign infer_var_type

* change code according to review

* change code according to review

* only save 'get_infer_var_type_func'

* rest file mode

* add all_reduce, reduce kernel and api

* fix all_reduce reduce ut

fix reduce op maker conflict

fix merge conflicts

* fix conflicts, rename ReduceOp->ReduceBaseOp in reduce_ops

rename allreduce op, to remove

* fix code format

fix comments

* modify test_collective_reduce_api ut timeout

* fix PR-CI-Build

fix comments: format phi operator

* test_get_kernel

* add invoke signature

* change reduce_max

* change frobenius_norm

* reset reduce_max according to composite and change reduce_all

* fix the bug when Scalar(*)

* fix 'scalar when support_tensor'

* change code according to review

* change 'keep_signature' to 'manual_signature' and add some erro info

* support 'backend' in static ops

* change bitwise_xx comment in python

* change bitwise_xxx comment in python

* change 'backend' and 'data_type' in GetExpectedKernelType

[XPU] add multi_encoder_xpu_slice_fuse_pass, generate_sequence_xpu_fuse_pass, generate_sequence_xpu kernel (#50570)