* generate some static graph ops

* fix the bug of pow

* add REGISTER_ACTIVATION_OP in operators.cmake

* modify the file operators.cmake

* Add the cumsum 0d tensor

* xpu and cpu judge the 0d  tensor

* change to 2022 to 2023 in new commit

* fix the reverse logic

* support elementwise base func

* fix compiling error and add test

* support vjp for div using comp

* remove additional change

* fix dy2st error with magic num

* fix dy magic num

* another magic

* another magic

* another magic

* add skip rename strategy

* support add vjp

* support add with new axis cal

* support sub vjp

* [prim] add multiply vjp rules

* [prim] add multiply vjp rules

* [prim] fix no infershape with composite in _append_backward_ops

* [prim] add expand vjp rule

* [prim] add exp vjp rule

* uncomment infer shape for reshape/sum static prim api

* [prim] fix tanh nullptr error

* remove some print message

* fix magic number in run_program relative tests @JiaBinYang

* [prim] add expand,multiply,exp vjp rules

* fix only support single direction reduce error

* infer reduce dims using out dims
Co-authored-by: NJiabinYang <360788950@qq.com>

* support the 'data_transform' for generating static graph ops

* reset 'pow' code

* change the 'GetKernelTypeForVar'

* support elementwise base func

* fix compiling error and add test

* remove additional param

* support vjp for div using comp

* remove additional change

* fix dy2st error with magic num

* fix dy magic num

* another magic

* another magic

* add more test

* fix windows problem

* another magic

* fix windows compile

* invoke ci

* add skip rename strategy

* support add vjp

* fix test_tanh

* support add with new axis cal

* fix resnet and some test

* add composite log

* support sub vjp

* generate static graph code of stack, unbind, unique_consecutive op

* fix bug

* [PHI] rrelu add yaml

* polish

* polish

* support the drop_empty_grad in backward

* change code according to yunfei's review suggestion

* generate the static graph code of ops

* modify the isclose comment

* modify the clip comment in nn.py

* reset nn.py

* support static graph code-gen for squeeze op

* generate static graph code of unsqueeze

* refine op name

* add extra output in op_compat

* remove debug log

* generate the static op of some ops

* add the VERSION of pixel_shuffle

* change the API doc of isclose

* change the API doc of isclose

* fix the isclose op comment

* generate static graph code of some ops

* change the default value of 'num' of 'unstack'

* revert the pow

* fix the 'real' 'imag' op error because of 'complex'

* fix the code according to review

* generate static graph code of some ops by yaml

* fix the code-style of yaml

* fix the framework_ci for triangular_solve

* change the 'data_type' of scatter

* add the 'out: Out' of scatter_nd_add

* generate static graph code of some ops by yaml, test = develop

* fix 'take_along_axis' yaml style

* reset scatter/scatter_nd_add

* delete the comments of put_along_axis

* add suppport_tensor for code_gen to static graph

* support code-gen for int_array

* polish code

* fix bug of data_type

* generate static graph code of some ops by yaml, test = develop

* generate static graph code of some ops by yaml, test = develop

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* rename kernel for top_k, slogdeterminant, generate_proposals_v2

* fix bug

* fix error log for yaml check

* remove grad_op of increment

* generate static graph code for lerp by yaml, test=develop

* modify the op_compat.yaml of lerp, test=develop

* generate static graph code for lerp by yaml, test=develop

* modify the op_compat.yaml of lerp, test=develop

* remove the 'attrs' of lerp, test=develop
Signed-off-by: lizhiyu02 <1528794076@qq.com>
Signed-off-by: lizhiyu02 <1528794076@qq.com>

* generate static graph code for some operators

* add some ops generate

* revert npu gelu

* add fluid_op_name_map

* rename some kernel name

* add comments for op-kernel map

* refine map name of op to kernel

* support default use_gpudnn=True

* fully support cudnn in phi

* add header file

* add white_list, verify accuracy

* phi support all cudnn

* opt affine_grad

* try different arches of pretrained_model

* try different arches of pretrained_model

* add debug string

* debug eager_method

* add debug string, pass all local ctest

* polish all debug code

* delete use_cudnn relevant code autogen

* fix depthwise_conv2d

* Share all other members of Tensor except use_cudnn

* polish codes according to review opinion

* polish codes according to review opinion, fix bug

* polish codes according to review opinion, opt performance

* polish codes according to review opinion, fix pooling.py

* standard api

* fix xpu bugs

* simplify depthwise_conv2d phi kernel selection

* fix depthwise_conv2d

* generate static graph code for some ops by yaml

* remove deleted files

* update cmake

* update cmake

* udpate cmake

* standard api

* fix sparse bugs

* fix xpu bugs, test=kunlun

* remove hard code for custom unittest

* open ci, test=kunlun

* deal with conflict

* generate static graph code of some op

* polish code

* fix bug

* update default value

* support pow_double_grad op

* add unit test for pow double grad

* fix pow double grad

* optimize pow double grad kernel

* fix pow double grad kernel

* generate static graph code for some activation op

* fix bug

* fix infermeta of selected_rows

* Standardise batch norm

* standardize conv3d and depwise_conv2d

* fix ci bugs