* update nearest_interp, expand_v2, cast for stable diffusion

* update nearest_interp, expand_v2, cast for stable diffusion

* correct shape rank

* Update expand_v2_op.cc

* CINN add fetch op for skip gc vars

* perfect test annotation

* break if not is_only_used_internal

* move skip_gc_var_names get out of for loop

* rm op_function_generator

* rm op_func_generator.h

* rm op_function

* modify cmake

* rm op_function.h

* rm check for op_function_generator.cc

* reset imperative

* rm python part

* fix imperative

* lint

* lint

* modify legacy_c

* review

* modify

* modify legacy

* rm gen op_functions code

* reset framework

* rm core.ops for test

* core.ops->core.eager.ops.legacy

* not raiseError for xpu

* refactor: use base class

* fix: incorrect deps

* fix: add missing header

* refactor: update class structures

* fix: bkcl typo

* fix: remove redundant def

* delivery skip_gc_vars from the main graph to each subgraph compiled by CINN

* rearrange format and annotation

* fix lacking namespace

* fix segmentation fault cinn subgraph doesn't own kSkipGcVarNames

* deliver all skip_gc_vars of main graph

* add vlog for skip_gc_vars

This reverts commit 2c444dfa.

* execute use kernel_key first

* change OpKernelType->KernelKey

* fix py3 compile error, remove redundant header files

* fix build_strategy_test

* fix DataType::RAW

* fix custom_type test: operator_test.cc

* fix transform place

* fix backends_are_same_class

* try fix place TransDataDevice

* support all KernelKey

* fix TransformData

* fix place_are_same_class

* fix merge

* fix test_params_no_grad

* fix specific place of GetExpectedKernelType

* fix specific place of GetExpectedKernelType

* fix GetKernelTypeForVar

* fix dtype error

* fix fetch_v2

* change GetKernelTypeForVar

* fix interpreter

* fix typo error

* polish codes

* polish codes

* polish codes

* fix conflict

* Fix param and out grad names in dy2st for high order grad

* replace matmul with matmul_v2 in fuse passes

* Remove fusion logic from matmul

* removing fusion methods

* add proper name

* adjust namespaces

* Implement conv2d_fusion NHWC format using CUTLASS
* Add unit testing for CUTLASS Conv in inference
* Add experimental API for CUTLASS.

* [OpAttr]Fix Ignore AttriteTensor in IndicateDataType bug in grad_op

* add GetExpectedKernelType

* [Zero-Dim] reshape/reshape_/reverse 0D support

* rm comment

* change paddle.to_tensor to paddle.full

* fix docs

* update paddle.full

* fix test_conv_bn_fuse_pass_cc

* remove comment

* update conv to convNd

* trigger ci

* 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

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00ef468d2dad0e38b3da06295ed62990d20.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

* reset
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* Fix default GetExpectedKernelType for ops supported tensor attrs

* auto parallel bf16

* fix load into memory

* fix load into memory

* fix code style

* fusedAttenGrad_noGrad

* code style fix

* add ut

* remove unnecessary log