* add einsum layer

* Enhance the shape check of trt_embedding_eltwise_layernorm_fuse_pass, embedding_eltwise_layernorm_fuse_pass

* delete swish_raw

* fix

* Update activation_kernel.cc

* fix

* set_value update

* support ValueTensor's rank != Input'rank & update topk

* update range to avoid coredump

* fix addShape error

* Dims definition differ between 7.2 and 8.0+

* Update test_trt_convert_top_k_v2.py

* update top_k

* Update test_trt_convert_top_k_v2.py

* 0-dims support cumsum and bitwise_not
* Update cumsum_op.cc
* Update test_trt_convert_bitwise_not.py
---------
Co-authored-by: NZhang Jun <ewalker@live.cn>

* modify tensorrt ci timeout

* activation ci bug fix

* comment out  int8 mode test_trt_dynamic_shape_groupnorm

* layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

* Using trt layer to make layers_norm op in lower than trt8.6
layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

* remove redunant

* unary bitwise_not adapter tensorRT8.6 in Paddle-TensorRT

* one_hot_op ci fix

* Update test_trt_inspector.py

delete log

* update roll convert

* fix fp16 io

* disable precision test

* add tranfer_elim
* transfer layout elimination

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* fixed cyclic reference that caused patial import

* fixed bad change

* fix bad import

* fix bad import

* fix bad import

* fix ut failed caused by change in_dynamic_mode

* fix ut failed caused by change in_dynamic_mode

* fixed usage of in_dynamic_mode() or in_dygraph_mode()

* revert python3 to python in .pre-commit-config.yaml

* fix merge conflicts

[Inference] add config.enable_low_precision_io api and remove rely on AnalysisConfig::Precison in trt (#52485)

* Improve Readability and Overall Clarity of Logging

* Adds the set_input_type API for specifying input data types

* Specifying input data types

* Revert "[inference][trt]add trt sparse weights switch (#53562)"

This reverts commit 4a69a536.

* remove kSPARSE_WEIGHTS

* remove kFASTER_DYNAMIC_SHAPES_0805 and add 'TrtMajorVersion' function

* Fused elementwises kernels and ops

* change fuse pass name

* adjust .pbtxt files

* adjust quantization attributes

* add missing arguments and fix others, review fixed

* simplify fused kernel registration

* fix elementwise unit tests

* reuse one fused elementwise op

* adjust proto

* Add supported datatypes

* Change 'Scale' to 'scale' in tests, change some tests to onednn

* Revert breaking changes

* Fix unit tests

* Delete obsolete test cases

* Delete commented out code

* Fix codestyle

* delete temporary condition

* fix conflicts and delete duplicate fusing

* Fix code after merge

* Move tests to new directory

* fix tests volatility

* Rename test_elementwise_add_onednn_op.py to test_elementwise_add_mkldnn_op.py

* Update CMakeLists.txt add mkldnn op test

---------
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

[inference Zero-Dim][trt] Add Zero-Dim tensor support for clip, cast, flatten_contiguous_range (#53769)

* [inference Zero-Dim][trt]clip,cast,flatten_contiguous_range trt op converter support zero dim

* softmax support

* support stack

* support_act
* delete_silu

* prelu op trt converter support zero dim

* support_expand_mish

* delete delete_fill_constant_op_pass and unsqueeze2_eltwise_fuse_pass

* fix trt Unary operation do not support 0d when TRT < 8.6

* update unary ut

* add rsqrt to unary_list

* move rsqrt to act_list