* support custom_xpu

* update cmake to test xpu

* support custom_xpu, verify mechanism

* fix test_custom_relu_op_xpu_setup.py, test=kunlun

* fix FLAGS_init_allocated_mem

* cancel TIMEOUT property

* reset FLAGS_init_allocated_mem property

[fluid remove]: remove paddle.fluid.layers.box_coder and paddle.fluid.layers.polygon_box_transform (#48896)

* remove fluid_box_coder and polygon_box_transform

* code check

* fix doc

* test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* add prelu

* mv fused_bias_dropout_residual_ln to fluid manual dir

* rm useless comments

This is a PR to catch up with latest xpu white list strategy
(https://github.com/PaddlePaddle/Paddle/pull/48606)
, since original list only include 'fluid' fashion names, but new list
must include 'phi' fashion as well.
Refer to paddle/phi/core/kernel_factory.cc for more details.

* add cutlass act set in conv_elementwise_add_act_fuse_pass

replace cross_entropy except in python/paddle/fluid/tests/unittests/*.py && unittests/*/*.py (#48922)

replace cross_entropy in python/paddle/fluid/tests/unittests/test_[a-n]*.py except test_dist_transpiler.py (#48913)

* rm distribution uniform eager guard test

* review

* add suppport_tensor for code_gen to static graph

* support code-gen for int_array

* polish code

* fix bug of data_type

* simplify SelectKernelOrThrowError function in phi

* opt kernel_selection process

* polish code, fix backend error

* move share_buffer kernel to phi

* fix ut

* add source file

* fix window links

[fluid remove]: remove paddle.fluid.layers.detection_map, paddle.fluid.metrics.DetectionMAP and paddle.fluid.evaluator.DetectionMAP (#48674)

* remove paddle.fluid.layers.nn.temporal_shift

* code check

* rm unittest

* remove paddle.fluid.layers.detection_map and the class:DetectionMAP

* remove pool2d

* add cluster_partition and device_meshes to process_meshes funcs

* add unitest

* fix 'BlasAXPBY unimplemented' error with custom device

* fix utils CmakeLists bug

* rewrite delete_weight_deqquant_linear_op_encoder/decoder pass