* Unify paddle/pten::framework::ddim into pten::ddim

* fix paddle namespace

* compile sucessfully

* fix npu src file

* fix conflict

* fix conflict

* fix tensorrt compiler error

* fix conflict

* fix conflict

* fix tesst file conflict

* fix conflict

* fix mlu file conflict

* fix mlu file conflict

* fix cinn header file conflict

* fix conflict

* fix conflict

* fix conflict

* fix conflict

* move blas related files
* move lapack related files

* Update IpuStrategy

* fix ci

* rerun ci

* fix and add more tests

* remove unwanted changes

* check only concat and elementwise

* move check to a function

* add todo comment

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

* first commit

* teller fix

* bug fix

* enable for pool2d only

* fix global_pooling issue

* pooling_type

* fix test

* update inference ut to support nhwc format

* update ut and pass OpCompat

* update ut

* update ut

* remove reshape and elementwise_add registry

* delete code

* fix bugs when run ci ut

* remove log

* fix bugs when run unit test

* fix bugs when run unit test

* fix bugs when run cinn

* fix bugs when run ci-mac-python3

* fix compile bugs

* fix compile bugs

* fix compile bugs

* fix bugs when run kunlun

* fix bugs when compile

* update code according comment

[Paddle-Inference] support preln_ernie: add preln_embedding_eltwise_layernorm_fuse_pass, preln_skip_layernorm_fuse_pass (#39508)

* support preln_ernie

* support preln_ernie

* #1 migrate dist-related type()-> dtype()

* move datatype function from pten -> fluid/framework

* change type() in imperative into convert(dtype())

* modify xx_tensor->type into xx_tensor->dtype

* change the set_type interface and the caller

* modify xx_tensor.type into xx_tensor.dtype

* fix mutable_data(place, dtype())

* change caller of mutable_data in pten and distributed

* change the caller of mutable_data in fluid/framework

* change the caller of mutable_data in imperative directory

* mutable_data: inference

* update the call of mutable_data

* transfer MakePenScalarArray MakePtenScalar ResetHolderWithType

* pass the compile. the next step is remove VarType in Pten

* fix all and remove VarType from pten. success in linux. Next task is other platform

* fix conflict with develop

* fix compiled error

* Fix reset conversion

* fix conflict

* fix compiled problem

* fix typo

* Fix << in tensor_utils.cc

* fix type->dtype

* fix unittest

* fix tensor init constructor

* fix DataTypeSize for BFloat16

* fix code style

* fix npu compiled error

* fix npu

* compile npu sucessfully

* fix conflict

* fix conflict
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* prevent squashing pair u8 dequantize -> s8 quantize

* add relu op to check for uint8

* fix ptq fc attr name fuse_activation->activation_type

* fix

* add unit test

* remove unused variable

* test fix unsuccessful

* fix test and logic

* multiline comment

* remove cout

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

* fix ptq fc attr name fuse_activation->activation_type

* move operators/math/math_function_* to pten/kernels/func
* namespace from `paddle::operators::math` to `pten::funcs`

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* support ernie quant model with interleaved

* add a graph pass to share MemOptVarInfos of external variables into subgraph

* update pass name

* fix compile failed

* add share_mem_opt_info_to_subgraph_pass test

* share_mem_opt_info_to_subgraph_pass_test pass

* modify some codes for better style and more robust

* update cmake

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* add fuse_relu_depthwise_conv_pass unittest

* fix atol and rtol

* fix according to review

* Add FuseOptimizerPass and fuse_adam_pass unittest

* add sgd and momentum unittest

* add fuse_optimizer_pass

* close amp

* close amp

* update

* fix run on two cards

* Update test_dist_fuse_adam_pass.py

* Update test_dist_fuse_momentum_pass.py

* Update test_dist_fuse_sgd_pass.py

* Create test_dist_fuse_sgd_pass.py

* Create test_dist_fuse_sgd_pass.py

* Create test_dist_fuse_sgd_pass.py

* Update test_dist_fuse_adam_pass.py

* Update test_dist_fuse_momentum_pass.py

* Update test_dist_fuse_sgd_pass.py

* Fix quantization next op findings

* Corrections according to the review

* adapt selectedrows in execution

* impl selected rows branch

* support selectedrow in infershape utils

* fix device compile failed

* fix new exe test failed

* revert some changes

* slice

* shuffle pass enhancement

* shuffle channel pass

* add ut

* timeout fix

* makefile fix

* sync misc changes

* apply comments 01

* fix compile error

* remove is_ipu_place check

* add authors
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* sync changes

* restore cmake

* update ir cmake and setup.py

* update inference_lib cmake

* split PR
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* Mish

* Change exp() library

* mish fuse pass

* mish attrs

* fixes

* mishop maker

* remove attrs

* mish kernal for bf16

* fc+mish fuse

* fix code format error

* Resolve merge conflicts

* Update mish operator version

* update mish variable to new naming convention

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Patched python level LoDTensor

* Merge Tensor into DenseTensor

* Fixed namespace issues,test=allcases

* Fixed merge issues

* Fixed inference issues

* Fixed NPU test issues

* Fixed merge issues

* add pten::Place data structure.

* update ci problem

* fix ci problem

* update

* using platform::Place=pten::Place

* remove BOOST_GET_CONST for CPUPlace and GPUPlace

* compile pass 25%.

* compile pass 45%

* compile pass 60%

* remove boost_get for xpu npu mlu and ipu

* compile pass on cpu and gpu.

* fix compile problem

* fix compile error.

* update

* fix ci problem

* update

* ci approve

* fix ci problem

* fix ci eager test problem

* remove BOOST_GET_CONST

* fix npu compile

Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* update ipu releated passes
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* remove ipu_pass_base

* update error msg

* update error msg 02

* split pr 01

* restore ipu_pass_base
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* add no reduce mode for pe

* add NoReduce ut

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Fixed example code failure

* Polished function names, removed duplicated forward declarations

* support more ops

* Co-authored-by: Xiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* add authors
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* update date
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* fix conv act int8 scale

* add unit test for conv+hard_swish

* Quantize nearest_interp and nearest_interp_v2

* Check if avx_core supported

* Add depthwise_conv2d to supported quantization list

* add mul_gru_fuse_pass ut

* update ut

* update ut

* update ut timeout setting

* update ut

* [Auto parallel] Make the id of var and op unique

* [Auto Parallel] Rename back dist_context to distop_context

* add mul_lstm_fuse_pass ut

* update mul_lstm_fuse_pass ut

* update ut

* update ut

* update ut

* add CPU ut cmake setting

* update ut

* add conv+hard_sigmoid fuse pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_hard_sigmoid_mkldnn_fuse_pass ut

* update conv+hard_sigmoid and conv+hard_swish fuse pass ut

* update ut

* update ut

* add mkldnn conv_elementwise_add_mkldnn_fuse_pass ut

* update mkldnn conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* restrict conv2d data_format in conv_elementwise_add_mkldnn_fuse_pass

* update conv_elementwise_add_mkldnn_fuse_pass OpCompat

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update ut