* 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

* add warp transducer code

* 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

* add validity check for config in yaml

* delete debug log

* fix rmsprop_ yaml bug

* 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

* move share_buffer kernel to phi

* fix ut

* add source file

* fix window links

* fix bug

* fix bugs in api_gen tools

* 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

* rename some kernel name

* fix compile problem

* isort all files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* 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

* [NPU] apply npu_identity to conv bn and copy2cpu, test=develop

* update npu identity to share data with x, test=develop

* address review comments, test=develop

* add fluid_op_name_map

* rename some kernel name

* add comments for op-kernel map

* refine map name of op to kernel

* attr ready

* op ip ready

* start dynamic

* end2end ok

* input shape to map, stat by op

* layer wip

* first version ready

* fix proto depds

* fix profiler deps

* fix flops typo, rm tuple shape

* support xpu scalar inplace

* sharding for xpu
Co-authored-by: Nheyanru <81976792+heyanru01@users.noreply.github.com>

* 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

* [NPU] add _npu_identity op and api, test=develop

* fix doc

* address comments

* 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