* 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

* 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

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

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

* rename kernel for top_k, slogdeterminant, generate_proposals_v2

* fix bug

* rename some kernel name

* fix compile problem

* 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

* 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

* support generating static code of high order grad op by yaml

* polish code

* standard_api

* add hardtanh

* gene static graph code for ceil, expm1 op

* gene static graph code for some activation op

* fix bug

* revert doc of silu and logsigmoid

* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* fix map at error

* Update paddle/phi/kernels/onednn/conv_grad_kernel.cc
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* remove useless extra attrs

* replace mkldnn_engine by onednn_engine
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* standard api

* fix ci bugs

* fix ci bugs

* fix ce bugs

* generate static graph code for some activation op

* fix example code of cosh

* gene static graph code for exp

* refactor the doc of exp

* fix bug

* fix bug

* update doc of exp

* fix sparse op

* rename op in yaml

* fix test_layout_autotune

* fix layout autotune of transpose

* add yaml entry for rnn and rrnn_grad, move infershape function for rnn_grad to phi infer meta

* WIP: move rnn kernrl to phi

* Change the code generation to avoid converting from intializer list to tuple of heterogeneous types.
This is only triggered when an api has intermediate outputs, and the result of the outputs are of heterogeneous types.

* fix the bug that when none in a vector of tensors requires gradient, the conversion to InferShapeContext to InferMetaContext (a.k.a. BuildInferMetaContext) produces errorous results.

* fix ci bugs

* fix ci bugs

* fix ci bugs

* modify code according comment
Co-authored-by: Nchenfeiyu <chenfeiyu@baidu.com>