* refactor flatten grad kernel

* fix bugs when run ci unittest

* fix bugs when use default GetExpectedPtenKernelArgs

* xshape sometimes is has null holder ,fix this bugs

* add mish operator and api

* remove redundant code and modify grad_atol of mish unittest

* modify mish code to be consistent with other activation implementation

* add multi tensor for adam

* add merged_adam op

* refine code

* refine adam compute logic

* Add fp16 support for scale/bias for fused_layernnorm_residual_dropout_bias op.

* move mid api and rename kernel

* use empty kernel

* Handled special sum_grad_op code gen in Eager Dygraph

* Fixed merge issues

This reverts commit c0e2b98e.

* bug fix

* remove blank

* fix the wrong filename

* first commit

* adjust the full kernel

* remove creation.h

* use Empty to create tensor in full

* move gpu_impl of elementwise kernel

* change copyright to 2022

* added exp activation and use_dst_for_bwd kernels

* CI RERUN

* minor change

* init commit: new elem_mul_grad

* add template speciallization for complex in multiply

* reply review comments

* correct dx and dy computation when T is complex

* reply review comments

* update to new ReduceRunctor

* mul-output broadcast

* call functions

* call functions with comments

* remove comments

* Fix bug of GetAllocatorInterfaceTest

* Replace some shared_ptr with unique_ptr

* Change Alloc call

* Rearranged Eager AutoCodeGen directory structure

* Removed USE_OP in Eager AutoCodeGen

* Enabled generation for Operators without Grad/Inputs/Outputs

* Resolved operators without input

* Fixed merge conflicts

* Enabled Eager AutoCodeGen for 10+ more operators

* Refactored Eager AutoCodeGen with more organized helper objects

* Enabled Eager AutoCodeGen for operators with multiple OpBases

* Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument

* Handled Dispensable Inputs/Outputs in Eager AutoCodeGen

* Adjusted function generation/call between Python-C API & Dygraph API

* Synchronized auto-generated Python-C API with Dygraph Forward Functions

* support more eager tensor api

* fix merge compile error

* fix compile error and fit develop code

* support pure CPU

* fix some logic error in eager_mode

* support _varbase_creator in eager mode

* Added safe_initialized interface to EagerTensor for use in processing dispensable inputs

* for eager mode

* refine

* support multiple constructor for eager tensor

* add place related code

* polish code

* specific randint with dtype of int64

* Support pure cpu test

* eager logic

* refine test in pure cpu

* eager logic

* eager logic

* eager logic, test=develop

* skip core.eager when in inference, test=develop

* refine, test=develop

* refine, test=develop

* call RetainGrad after run forward kernel, test=develop

* refine, test=develop

* support dygraph util, meta, guard test

* eager test case

* support inference test

* refine test and fix initializer failed

* modify eagertensor patch method

* add eagertensor.clear_grandint, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* call monkey_patch_varbase in _test_eager_guard, test=develop

* split clear_gradient to clear_gradient and zero_grads, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop
Co-authored-by: Njim19930609 <jim19930609@gmail.com>
Co-authored-by: NJiabinYang <360788950@qq.com>

* change 'math' to 'math_kernel'

* fix compile bugs

* merge develop

* fix compile bugs

* fix compile bugs

* move reduce files by new rule

* add set header

* format code style

* merge develop and fix conflict

* merge develop and fix conflict
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* fix for matmul_v2 broadcasting

* fix for output shape not broadcasted

* c_api support std::string

* update

* update

* add NOTE

* fix delete error.

* Quantize nearest_interp and nearest_interp_v2

* Check if avx_core supported

* Add depthwise_conv2d to supported quantization list

* add huber_loss for kunlun

* update xpu.cmake

* update unitests

* update unitests

* update elementwise_add

* update elementwise_add

* update elementwise_add

* Support EagerTensor init with kwargs

* Updated comments

* Updated unit tests case

* Refactor InitTensor related code to reduce duplicate code

* Updated the error reporting msg

* Updated VLOG msg

* Merge develop and Update EagerTensor init func

* Polish switch case, reduce some code

* Add SyntaxError unit test case

* Refactor the related initialization func of EagerTensor

* Remove ParseStopGradient and ParseZeroCopy and ParsePersistable, construct ParseBooleanArgs instead.

* Updated error msg to pass CI

* Updated PADDLE_ENFORCE error type

* add elementwise div

* move mul and div grad functor

* Combine multiple CUDA kernels

* Update the reduce interface call

* add multi-output

* add multi-output div

* add branch judge

* Package branch

* Combine the x and y functions into one

Add OpFunctor and replace cast, scale, clip, bce_loss and abs_grad with elementwise_no_broadcast (#38500)

* Fix memcpyD2H sync behavior with other stream

* add wait

* add wait

* add wait

* change 'math' to 'math_kernel'

* fix compile bugs

* merge develop

* fix compile bugs

* move cpu_impl of elementwise kernel to new directory

[NPU] add pad and pad_grad

[Unify Tensors PR #3]Port framework::Tensor members & interfaces to pten::DenseTensor, test=allcases (#38473)

* Added shared_ptr<Allocation> member & corresponding interfaces to Storage

* Removed original pten::Allocation from Storage and adjusted the interfaces accordingly

* Fixed issues with storage offset

* Used place to malloc allocation for TensorStorage

* [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor

* Fixed issues with place

* Added comments

* Moved mutable_data with stream argument to DenseTensor

* Added set_offset interface

* Fixed CI issues,test=allcases

* [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor

* Reverted changes too pten_layout() interface

* Removed friend classes

* move inner cast api to cast_kernel.h

* resolve conflit