* add fp16 and bf16 support for instance_norm

* fix /= operator which not support bf16

* fix instance_norm_grad kernel and unittests.

* fix fp32 unittests.

* fix instance_norm_kernel and unittests.

* fix instance_norm_grad_kernel and unittest threshold.

* add fp16/bf16 for instance_norm_grad_grad op.

* add bf16 dtype check.

* fix conflicts.

* fix cpu support for fp32 op and fix type in instance_norm_grad_kernel.

* fix type in instance_norm_kernel.

* fix bf16 outputs in unittests and refine codes.

* fix dx computation.

* delete unuseful params and head including.

* add fp16/bf16 for static graph.

* fix device condiction for instance_norm op.

* fix instance_norm_grad_grad and bf16 op tests.

* fix op_test to support grad of bf16 can be compared with fp32.

* remove updates.

* add self-defined grad.

* update

* fix bug

* fix ci-windows-openblas

* fix test_partial_sum_op

* fix codestyle

* fix divide zero bug for softmax_with_cross_entropy

* change the single test way

* can run but slow. the most important is that I do not know why it slow

* remove some useless commet

* change the copyright to correct

* remove some useless change

* if repeat_times == 1, we will not use BroadcastKernel

* Optimize the performance of logsumexp

* Support zero-dim tensor

* add autogen code support for affine_grid op

* update op_compat.yaml for affine_grid

* update op_compat.yaml for affine_grid

* fix AffineGridGradInferMeta

* fix CI error

* update AffineGridInferMeta

* delete [-Wno-error=terminate], test=develop

* remove GPUps[-Wterminate],test=develop

* remove some -Wno-, test=develop

* modify ~MatmulDescriptor

* mess

* optimize setup.py

* add ninja

* mv WITH_ASCEND_CL

* mv WITH_ASCEND

* rollback

* remove WITH_ASCEND

* remove WITH_ASCEND

* [bug fix] fix pow composite

* [bug fix] for ci

* [PHI CAPI] support complex dtype kernel

* update

* add seed control

* fix bug

* add autogen code support for matrix_nms.

* update

* add strategy force_sequential_run

* fix

* fix

* fix

* fix

* fix

* mv WITH_ASCEND_CL

* mv WITH_ASCEND

* rollback

* remove matrix_multiply unitest

* remove run_program

* remove FLAGS_USE_STANDALONE_EXECUTOR

* [AMP OP&Test] Fix the logic of calling infer_dtype func in op test

* add fp16

* Isolate DenseTensor::set_type from header file

* Fix selected_rows