* support 0D Tensor for while_loop op

* update

* clean unit test

* revert test_while_loop_op.py

* test again

* remove invalid check

* fix error

* change fluid to paddle.static

* fix paddle.full

* merge forward and backward test

* simplify code

* add precision check

* fix condition var check

* add dygraph test

* add dump_walk_path  (#193)

* add dump_walk_path; test=develop

* add dump_walk_path; test=develop

* add dump_walk_path; test=develop

* Add multiple CPU communication, parameter query and merging functions, support batch alignment between multiple cards (#194)

* compatible with edge_type of src2dst and src2etype2dst (#195)

* do not merge_feature_shard when using metapath_split_opt (#198)

* support only load reverse_edge (#199)

* refactor GraphTable (#201)

* fix

* fix

* fix code style

* fix code style

* fix test_dataset

* fix hogwild worker

* fix code style

* fix code style

* fix code style

* fix code style

* fix code style.

* fix code style.

---------
Co-authored-by: Ndanleifeng <52735331+danleifeng@users.noreply.github.com>
Co-authored-by: Nqingshui <qshuihu@gmail.com>
Co-authored-by: NWebbley <liwb5@foxmail.com>
Co-authored-by: Nhuwei02 <53012141+huwei02@users.noreply.github.com>

* disable conv2d_fusion_layout_transfer_pass temporarily

* disable conv2d_fusion_layout_transfer_pass temporarily

* remove extra input of conv2d

* fix bug

* fix unittest bug

* adjust conv2d.pbtxt

* fix cpu_quantize_pass_tester

* revert use_addto of conv2d

* fix runtime attribute

* fix bug

* recover force_fp32_output in conv2d

* refine error info

* fix bug

* 为data_norm函数的input参数增加维度的判断并增加单侧

* 完善data_norm测试样例

* fix data_norm

* add_hasattri_check

* add_hasattri_check

* check tensor numel in PyObject_CheckLongOrToLong

* add unittest

* fix to_dlpack for loop

* fix reference count

* refine optimizer create accumulators

* refine

* alpha_dropout supports zero_dim

* add test

* 优化 PartialProgramLayer hash逻辑

* 修复list弱引用问题

* 递归计算list列表的id

* 处理str类型

* str类型直接返回hash后的值

As the title

* support negative index in unique_consecutive

* add unittest

* add unittest

* replace matmul with matmul_v2 in fuse passes

* Remove fusion logic from matmul

* removing fusion methods

* add proper name

* adjust namespaces

* clean attrs in python tests

* delete checkpoint and restore matmul version

* remove unused code

* matmul and reshape/transpose fuses migrated

* split MatmulOneDNN headers

* fuse activation and eltwise_add

* add fuse_activation

* matmul_transpose_reshape/reshape_transpose_matmul

* matmul + elementwise_add (fused)

* activation temporary modifciation

* merge newest develop

* remove depedency from other PR

* revert pbtxt

* remove placeholders from matmul_v2

* add description in OPMaker

* remove matmul_v2_op.h and all depedencies

* remove dims changing in base op

* add possibility to fuse already fused_matmul

* restart broken CI

* Empty-Commit

* revert matmul_utils.h

* codestyle

* adjust imports

* add pbtxt file

* 100% matmul unit tests coverage

* trigger CI with minimal changes to develop

* adjust changes to develop

* add fused_matmul op

* inherit base ops

* add "v2"

* move OPMaker

* Gradually add fused_matmul files

* second batch of fused_matmul changes

* split infershapes of matmul_v2 and fused_matmul

* inherit fused_matmul from matmul_v2

* Update paddle/phi/backends/onednn/onednn_reuse.h
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/phi/kernels/fusion/onednn/fused_matmul_kernel.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

---------
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* conv_bias_mkldnn_fuse_pass_tester rewritten

* conv_concat_relu_mkldnn_fuse_pass_tester rewritten

* conv_elementwise_add_fuse_pass_tester rewritten

* mkldnn changed to onednn

* tests added to cmakeLists, style fix

* got rid of unnecessary UT, some style changes

* changes in naming convention

* max_examples reduced

* time out added

* add input check for accuracyOp

* add input check for gpu/accuracyOp

* add unittest

* use rank instead of dimensions in message

* update unittest

* update unittest