* open inference_ut;test=windows_ci_inference

* inference_ut need onnx;test=windows_ci_inference

* disable trt_split_converter_test; use higher parallel level

* too high parallel will cause ut timeout

* change logic for optimize

* modifty

* optimize the backward speed of EinsumOp

* add cache optimizer for einsum op

* EinsumOp: fix new dygraph mode error

* fix bug

* change Cache->InnerCache

* fix code

* fix

* add nan inf utils for einsum op

* add as_extra

* memory optimizer for einsum

* update code

* cmake-lint

* update

* fix custom op error

* fix code error

* add serialization for new field in event node

* fix a bug

* Enable bert model on CPU

* Style

* fix stride_slice bug

* fix bug

* support set_grad_ivar for eager

* support set_grad_ivar for eager

* support set_grad_ivar for eager

* use GpuMemcpy and GpuMemset

* sparse convert kernel support double dispatch by indices dtype

* cudaMemcpyKind->gpuMemcpyKind

Fix the bug of slice op and optimize the code style of generate_proposals_v2 op for kunlun. *test=kunlun (#43380)

* fix depthwise conv yaml error

* fix depthwise conv double grad error

* change tensor name

* fix unittest bugs

* make all phi kernels to 2(host/device) static libraries directly

* fix calling kernel_declare

* fix compile

* fix cpu compile

* fix rocm compile

* fix xpu compile

* fix xpu kp compile

* fix inference compile

* add new field for event node

* fix

* fix bug

* fix bug

* fix clang

* fix clang format

* fix code format

* add unary ops

* move to activation_ops

* Refactor DeviceContextPool

* Adjust header file order

* Re-implemented check_finite_and_unscale_op  with newly added xdnn api
*test=kunlun

* Re-implemented check_finite_and_unscale_op  with newly added xdnn api

*test=kunlun