* first commit

* 2nd commit

* use fused mlp in multi transformer
* Restruct code
* use cublaslt to fuse ffn
* fix conflict

* Migrate elementwise_div

* Migrate elementwise grad kernels

* fix:fix the bug of trt_8.0.3.4

* fix: fix the bug of trt_8.0

* fix: notes

* move vol2col from fluid to phi

* update copyright year

* Skip tests that use fused_ops on H100

* Add error message to FusedOps on H100

Removed ResidualData and Bias from ExtraAttrProperties because it's not an attribute.
Removed bug with checking for ResidualData attribute in matmul_elementwise_add_fuse_pass
Removed residualData from list of matmul outputs in cpu_bfloat16_pass.cc because it's input
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Delete caching from requantize_mkldnn_op and changed to Acquire API
* Fixed codestyle and implementation

* move "paddle/phi/backends/gpu/gpu_device_function.h" to phi

* update copyright years

* rm "fluid/platform/device/gpu/gpu_device_function.h" in phi

* rm dependence to "gpu_device_function.h" in fluid

* rm gpu_device_function.h etc in fluid

* fix rocm-complie bugs

* fix cuda_helper_test.cu bugs

* fix doc of NPUPlace

* fix doc of NPUPlace, test=document_fix

* add fc-residual quantization

* revert removal of check for use_mkldnn

* fix bug

* add disable_logs

* review fix

call twice AreScalesPresntForNodes instead of if-else

* rewrite residual input to output

* revert fc mkldnn taking residual data

* format fix

* fix LoDTensor->DenseTensor

* LoDTensor->DenseTensor

* output->input

* revert changes to unsupported script

revert changes to unsupported script

* remove fc residualdata from output blocklist in cpu_bfloat16_pass.cc

* cleanup unused code

* unify is_int8 is_bfloat16

* Simplify matmul_v2 FWD kernel

* remove RunKernel methods

* remove import namespace

* remove headers

* clean fluid/phi cross imports

* remove fluid axpy_handler

* delete fluid methods

* activations

* OneDNNMemDesc

* MKLDNNFormatForSize

* MatchShapeToLayout

* MKLDNNMemoryFormat

* MKLDNNFormat

* ReorderMKLDNNHandler

* to_void_cast

* review suggestions

* interpolate

* remove fluid depedency

* init

* ExecuteMatMulV2

* rm fluid kernel

* matmul_grad

* remove mutable_data

* mul_grad

* use mma for QK dot computing in fused_multi_transformer.
* Update fused_multi_transformer_op.cu.h

* refine reduce_all

* Fix wrong eigen header include

* fix compile bug

* move threadpool

fix cmake

* fix make

* move cross_entropy from fluid to phi

* replace mutable_data with Alloc

* use .template

* refactor: replace Collective & PointToPoint with NCCLEnv

* refactor: rename to RunFnInNCCLEnv

* refactor: pass std::function by value

* [CustomPlace] fix amp

* [CustomPlace] fix amp

* fix ut because of too long time matmul fp16

* fused qkvBiasAdd and transpose with split qkv

* fix typo

* fix format

* fix name

* add annotation

* fix comment

* cleanup unused code

* unify is_int8 is_bfloat16

* Simplify matmul_v2 FWD kernel

* remove RunKernel methods

* remove import namespace

* remove headers

* clean fluid/phi cross imports

* remove fluid axpy_handler

* delete fluid methods

* activations

* OneDNNMemDesc

* MKLDNNFormatForSize

* MatchShapeToLayout

* MKLDNNMemoryFormat

* MKLDNNFormat

* ReorderMKLDNNHandler

* to_void_cast

* review suggestions

* interpolate

* remove fluid depedency

* init

* ExecuteMatMulV2

* rm fluid kernel

* matmul_grad

* remove mutable_data

* Migrate conv_transpose to phi

* Move handler to kernel

* kernel m

* Fix formatting

* handler

* remove fluid

* revert tcp_store

* tcp_store

* remove unused

* Fix declaration

* add dnn input

* Fix typo
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* fix bug of zero_allocator in host

* fix test compile bug

* add unittest

* update test

* Add quick gelu and fused bias add kernel

* fix annotation

* remove useless code

* add fast gelu option and set it in multi transformer op

* add flag to restrict if use fast gelu approximate

* fix flags conflict

* fix use tanh function instead

* add cudart version limit

* use phi fast tanh func

* fix comment