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

* 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

* 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

* disable conv2d_fusion_layout_transfer_pass temporarily

* disable conv2d_fusion_layout_transfer_pass temporarily

* gn_silu

* add ut

* set TIMEOUT

* correct comments

* comments

* disable windows ut

* rename parameter

* 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

* skip_groupnorm

* init

* preln

* add ut

* more assert

* set timeout

* fix windows ci issue

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

* General optimization for no_varlen embedding layernorm

* Deleted mkldnn_inplace_pass code

* Fixed error with cmake

* Resolve conflicts

* rewrite delete_weight_deqquant_linear_op_encoder/decoder pass

* general optimization no_varlen embedding layernorm

* pass

* pass

* draft version

* share mem opt

* remove sharemem

* add pattern for the case with circle_shift=0

* add UT

* pass opt

* test_fix

* code-commit

* code-style

* code style

* code-style

* ut-fix

* op teller refine

* resolve conflict

* adjust position op_teller list and pass order for swin

* ut code style update

* adjust paddle pass order

* refine pass order

* refine pass order

* refine pass order

* delete unnecessary shape and slice op
Co-authored-by: NYour Name <you@example.com>

* add fc-residual quantization

* revert removal of check for use_mkldnn

* fix bug

* add disable_logs

* review fix

call twice AreScalesPresntForNodes instead of if-else

* rewrite residual input to output

* revert fc mkldnn taking residual data

* format fix

* fix LoDTensor->DenseTensor

* LoDTensor->DenseTensor

* output->input

* revert changes to unsupported script

revert changes to unsupported script

* remove fc residualdata from output blocklist in cpu_bfloat16_pass.cc

* Enable bf16 in oneDNN bilinear_interp kernel

* Fix bilinear_interp_v2 not enabled in models

* Remove unnecessary checks

* optimization for ln

* fix

* added output to gpd

* added formatting

* fix

* add roformer pass&&plugin（novarlen）

* add fuse_multi_transformer_layer_pass

* Analysis API interface for disabling fc passes

* Unit tests corrected

* Python API added

* test runs only when PADDLE_WITH_MKLDNN

* Fc op changed to relu in matmul_op_test

* Disable fc passes in tests where acc drops

* code formating

* Unit test for analysisConf added

* Unit test gpu added

* fc passes disabled when iterations=0 in gru test

* style

* passes disabled when fp32 in gru test

* fc passes disabled in lstm test

* Import from inference, not fluid in doc