* first commit

* add registry

* add unit test

* fix format

* add unit test

* fix  bug

* replace unsuqeeze to reshape

* fix

* fix unit test

* update test

* update test

* fix unit test

* fix

* fix

* add yaml for some op

* fix inplace_abn

* fix test_leaky_relu_grad_grad_functor

* fix yaml

* fix typo

* [CustomOP Inplace] Automap inplace dtype and shape, prepare for vector<Tensor> output

* delete custom_inplace_setup.py

* [CustomOP Optional Inplace] Custom operator supports inplace optional Tensor input

* fix bug for vector<Tensor> inplace test

* remove distribute

* fix py3 bugs

* fix gpu-ps bugs

* fix compile bugs

* fix unittest bugs

* fix skiplayernorm, add trt_version check

fix with auto&

* add to sub & delete full scale

* decrease 1_div_shape_2 compute

* x_sub_mean_mul_sqrt_var_1

* delete log

* add mean var test

* nothing

* autofix
Co-authored-by: NLiyulingyue <83450930+Liyulingyue@users.noreply.github.com>

* revert changes in python/paddle/distributed/fleet/utils/hybrid_parallel_util.py

* empty commit, trigger ci

* fix test_slice

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* move elementwise raw

* fix

* fix

* mv paddle/fluid/platform/device/xpu/tests 2 test/xpu/cpp

* add missing cmake

* update

* update

* update

1. add type caster for paddle's complex type, to allow pybind to automatically cast it with python's complex type;
2. add complex64 and complex128 data type for `libpaddle.Tensor`'s element get and set(which is required to perturb an element to get the numerical derivative)
3. add support for cuda pinned place in `libpaddle.Tensor` element get and set

---
4. fix a bug in op code generation.(Creation of output folder in concurrent with parsing op yamls.)

* [AMP] Add python API for collecting operator stats.

* Fix import and polish codes.

* Add more unittest.

* Add doc for the new APIs.

* add autogen code support for spectral_norm

* bug fixed

* fix PR-CI-Static-Check fail

* support run haokanctr model in heterps-models

* polish setup.py

* polish JVM_LIB in evn_dict

* align infer auc with DistPsArch pre-stable

* async and multi thread data feed

* rewrite dense tensor intialization

* async infer shape and reuse memory

* add scatter composite rule.

* add public_python_api

* add python unit16 support.

* fix code style.

* add cinn to makelist

* cinn unsupport uint16, forbidden cinn when dtype==uint16.

* update assign_pos

* update attention_lstm

* update barrier

* update batch_fc

* update beam_search

* update beam_search_decode

* update bilateral_slice

* fix bug

* Handle Structure kernel for InterpreterCore::RunOperator

* fix bug

* fix rocm compile

* fix rocm compile

* Revert "fix rocm compile"

* test

* revert test and update cmake

---------
Co-authored-by: Nchenruibiao <chenruibiao@baidu.com>

* Support ignore_index for c_softmax_with_cross_entropy_op.

* Polish code. Remove useless comments and add Testcase.

* Polish code for TestCase.

* Polish code.

* Polish code style.

* Polish code.

* Change loss calculation formula and ignore_index dtype.

* Polish TestCase.

* Fix bug of c_softmax_with_cross_entropy_op_xpu_op. Attribute 'ignore_index'
dtype is int64_t.

* add FP16 for multinomial

* fix input data

* update code

* fix FP16

* fix code

* support auto generate for prelu

* op_compat 中增加输入参数

* del attrs ; add kernel data_type

* add PreluGradInferMeta

* stride slice fp16 and bf16 unitest

* fix code style

* add self.dtype