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

* Add matmul_v2 to the quantization process and adjust Ernie model test

* Correct cpu_quantize_pass test

* Move op to fuse transformation to placement pass

* Correct test

* support xpu multi-card infer

* add ut

* clean code

* clean code

* fix

* fix

* fix

* fix

* move layer_norm_kernel.cu.h to phi

* fix bugs

* fix namespace

* fix bugs

* fix CI-Windwos

* replace mutable_data

* fix bugs

* fix bugs

* expand mix_precision to custom_device

* fix bug

* fix bug

* fix comment

* fix DEFINE bug

* add cast setvalue op

* add set_value to op teller

* renew test and add description

* add setAxis and add complex test

* change test

* eleadd_trans first version

log fix

* refine code for linear format, add pass check

* linear format refine and ut fix

* fix ut

* windows ut

* windows ut 2

* move tensorMeta and alloc to configure

* update

* support int64 shape tensor as engine input

* add inference_predictor ut

* Adjust mkldnn_placement_pass to check library type and data type

* Check if var has inputs

* Remove unrelated test

* Refactor

* add fmha_flashattention oss plugin

* add fmhca

* add oss fmhca

* code reconstruct and add ut

* code style refine

* fix ut and enforce check

* refine trt version check

refine compile

fix compile

* fix cross ut

* code refine

* use runtime trt version check

* bug fix and code refine

* compile fix

* merge develop

* add GN QDQ kernel

* support GN int8 fake kernel

* add with_int8

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8  UT

* add verison > 8000  in GN int8  UT

* add some check in .cu

* add stdlib.h in UT

* little change  in .cu

* remove rand_r use rand

* remove use rand

* setAxis(1)

* when int8 is on allow fall back to fp16

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Co-authored-by: Nwwbitejotunn <wang_bojun@outlook.com>

* trans_layernorm

* QuantTranpose pattern is being found by pass

* quant + transpose fuse

* code style changes

* UT written, reorder fixed

* Dequantize + transpose2 fuse  added

* pass name changed

* UT added & shift corrected

* got rid of redundancy

* review changes

* AsIntermediate corrected

* compat added

* update

* update

* format code

* update

* Update test_trt_convert_nearest_interp_v2.py

* remove_engine_info

* remove_engine_info

* remove_engine_info

* change trtlayerinformation line to json

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Co-authored-by: Ngaoziyuan <gaoziyuan@baidu.com>

* disable conv2d_fusion_layout_transfer_pass temporarily

* disable conv2d_fusion_layout_transfer_pass temporarily

* add_hasattri_check

* add_hasattri_check

* preln_residual 2 fused_bias_residual

* skip layernorm fix and ut

* code refine

* code style refine

* fix ut

* fix output

* add trt layer fall back info

* refine op teller and ut

* DropoutMaskOut output fix

* jit layer support multi thread

* fix bug

* clone prediector not do graph optimizer

* format

* fix comment and format

* fix override and fromat

* fix

* fix

* gn_silu

* add ut

* set TIMEOUT

* correct comments

* comments

* disable windows ut

* rename parameter

* disable integer

* disable integer

* add cast layer

* decouple phi custom_op

* decouple phi custom_op, remove codes

* delete custom symbol of inference

* support PaddlePaddle Backend on Triton

* fix test cases

* fix Codestyle

* add test case

* add test case

* fix cast issue

* add ut

* change feed_op to phi kernel

* fix ci bugs

* fix build bugs

* fix ci bugs

* fix compile bugs

* fix ci bugs

* perfect code

* perfect comment code

* fix install bugs

* modify code according comment

* remove visitor in feed_op

* modify according comment

* perfect code according comment

* add infershape

* fix py3 bugs

* fix getexpected kernel type

* fix getexpected kernel type

* fix ci bugs

* add registry for custom device

* fix py3 bugs

* fix floating point error

* fix py3 test bugs

* add outvar name for nvtx mark

* nly network created with kEXPLICIT_BATCH can setsetMaxBatchSize

* add trt_support_nhwc_pass

* add gpu_cpu_map_matmul_to_mul_pass to kGpuLowerPrecisionPasses

* disable fc_elementwise_layernorm_fuse_pass in mixed precision

* add fmha_flashattention oss plugin

* update trt engine to set in/out data type

* update

* Update engine.cc

* Update engine.cc

* update

* set engine output type before freeze the network

* update

* update trt autoscan ut

* update

* update ut

* fix equal bug, update ut

* fix cast and equal ut

* update cast ut using TRT < 8.4

* set datatype from scope

* check output var is nullptr

* Update op_converter.h

* update tensorrt_engine_op_test ut

* update

* compile fix

* fix compile

* compile fix

* add more preln