* [OpAttr]Squeeze axes support Tensor

* add support_tensor

* fix unittest

* fix coverage

* transfer unsqueeze to phi

* fix conflict

* add squeeze

* add infershape

* fix xpu and npu error

[phi] Transfer lgamma, kldiv_loss, isclose, cumprod kernels into phi and pass the tests of these four kernels (#39770)

* tranfer and pass the lgamma unittest

* merge and pass the test

* transfer kldiv_loss and kldiv_loss_grad; pass the unitest

* trafer the isclose and cumprod kernel

* change PT_REGISTER -> PD_REGISTER

* fix by code review

* fix by code review

* fix

* remove enforce include dependence from scalar

* fix

* fix by code review

* fix by code review

* [phi]migrate increment addmm multinomial cholesky InferShapes to phi

* set_dtype and mod MultinomialFunctor

* migrate increment addmm multinomial cholesky kernels to phi

* test pr39869

* test pr39869

* fix style and ci

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* Migrate Dim and DDim from paddle::framework into pten namespace

* fix paddle::framework::Array

* fix framework::Array

* fix multinomial doc

* fix multinomial error message

* little doc change

* fix Categorical class doc

* optimize format of error message

* fix CPU Kernel error message format

* fix isinf and isnan error in WindowsOPENBLAS CI

* delete inf and nan

* add manual_seed in sample code

* little error message change

* change error message to InvalidArgument

* add full point for error message and add manual_seed in CPU environment

* add multinomial cpu kernel

* fix C++ notype error

* fix windows ci array len error

* let array len be const

* change array to vector

* add cuda kernrl with num_distribution is 1, and not support replacement=False

* add multinomial python api

* support num_distribution different multinomial distributions

* add multinomial python api unittest

* change output dtype to int64

* fix coverage prob

* optimize format

* fix dtype of output error, should be int64_t