* [kunlun] support reduce_scatter

* uncomment unittest

* update xccl to 1.0.10

* add TypeUniquer and IrContext

* refine include code

* add Type, TypeBase

* add built-in type

* add bulit-in Float32Type

* refine ut

* refine code

* refine code

* delete type_base

* rename ImplType to StorageType

* rename ImplType to StorageType

* add macros util for register type

* add macros util for register type

* refine name

* refine name

* change storage manager

* add multi_thread for ir_ctx

* rwlock_2_spinlock, add REGISTER_TYPE_2_IRCONTEXT

* DECLARE_TYPE_UTILITY_FUNCTOR

* refine ircontext singleton

* del destructor for ParametricStorageManager

* refine code

* Add necessary logs for debugging

* refine ir_context instance

* refine type get interface

* refine code by comment

* [XPU] bind op scatter_nd_add

* [XPU] add more data type for op: clip, transpose2 & assign_value

* register bfloat16 datatype for squared l2 norm

* register bfloat16 datatype for softmax with upper triangular mask

* register bfloat16 for tril triu cuda kernel

* [mv fleet] mv fleet to distributed

* [mv fleet] for ci

* [mv fleet] for ci

* [mv fleet] solve ci of version

* implement of matmul using cublasLt instead of cublas

* Update matmul_kernel_impl_via_blasLt.h

---------
Co-authored-by: Nzhangbopd <1299246947@qq.com>
Co-authored-by: NBo Zhang <105368690+zhangbopd@users.noreply.github.com>
Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* Enable matmul + bias fusion in fused_gat_attention.

* Add a variable to control whether using fused matmul + bias.

* rename elementwise_heaviside to heaviside

* delete __init__.py

* fix bug

* allow fall back to fp16 when int8

* refine code

* refine code

* refine code

* ConvertToFusedOp

* change static to inline
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

---------
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* change amp with to_prim

* fix prim amp

* fix rules

* fix liear

* add amp test

* add test

* disable this test on cpu

* disable this test on cpu

---------
Co-authored-by: Ncyber-pioneer <chenzhuo@tju.edu.cn>

* support 'backend' in static ops

* change bitwise_xx comment in python

* change bitwise_xxx comment in python

* change 'backend' and 'data_type' in GetExpectedKernelType

* support prim test in OpTest

* fix cmake

* fix op test

* fix test_input_spec

* disable cinn in reduce_sum unit test

* add bfloat16 dtype for sum

* add approve rules

* polish code

* add clear jit program function

* convert grad out from tensor to numpy

* remove unnecessary code

* add only_prim flag

* fix flag

* fix op test

* add attr

* fix optest comp inplace error

* fix op test

* fix op test with guard

* add initialization of check_comp flag

* fix comp inplace error in op test

* rename check_comp with check_prim and add bfloat16 dtype convert

* rename comp_op_type to prim_op_type

* rename comp to prim

* remove useless code

* skip ci check for only prim

* add no_grad_vars and grad_outputs in prim test

* fix var_dict

* fix op test for only_prim

* fix dy2static bugs

* polish some code

* temp

* modify op test

* except cinn test

* modify bfp16

* modify pad grad

* add pad_grad dtype

* start cinn part

---------
Co-authored-by: NCharles-hit <wanghao107@baidu.com>

* change protobuf version in pslib mode and link libjvm.so fot libps.so

* keep protobuf version same with pslib and enable compile with pslib

* [XPU] add expand_grad, isnan, meshgrid kernels

* update

* fix multihead

* fix multihead

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* change phi tensor_gen->tensor_operants_gen

* [Tensor API] Support multiple Tensor C++ api

* [Tensor API] Unsupport prob Tensor API

* accept reviewers comment of #50731

* delete tensor_api.yaml

* move fluid generator to phi

* move fluid generator to phi

* update .gitignore

* fix bugs

* fix cannot find "glog/logging.h" in "generator.h"

* fix bugs

* first commit

* main codes has been developed

* fix all bugs

* add vectorize input&output

* a test for optimization_of_layer_norm_fwd

* add some changes

* fix memory coalesced access for more optimization.

* fix addition ctest error

* fix according to ci-approval

* remove change on slice

* fix accurary diff issue when XPU op batch_norm is added to XPU blacklist

* remap op output tensor to input tensor when the op has fallen back to CPU

* rename function name and fix bug causing by InplaceCounter

* polish namespace

* change static_tensor_operants

* polish namespace

* support add, subtract, divide

* add unit test

* polish unittest

* fix cmake error

* solve conflicts, merge auto code-gen

* add scalar operator in tensor.h

* tensorbase

* static prim full support more datatype

* fix prim unittest

* polish codes

* fix cmake error

* move profiler

* fix compile bugs

* support 'complex promote' in yaml

* change the compplex_promote

* change 'kron' in math.py

* change 'kron' comment in python

* change kron comment in python

* change kron comment in python

* [Cpp Extension] Support optional type

* fix custom_extension.cc

* tmp gather vjp

* support gather

* remove useless code

* fix compiling error

* fix ut

* add eager test

* add eager test

* add seed

* fix cpu error

* fix transpose op compat

* remove tensor index case

* fix prim_cinn

* fix ut

* add gather composite

* kunlun support c_softmax_with_cross_entropy

* fix grad calc error

* replace mutable_data() and ShareDataWith()

* update xdnn

* update xpu toolchain to 20230215

* remove fluid from test file