- fluid和lite精度比较替换为相对误差

- 添加了fluid-lite子图方式运行resnet的单测
- 修改了依赖Lite的git commit id

* add TRT support for instance_norm op

* add gelu plugin

* align trt bert with gpu

* add support for fused fc with relu,

* add unittest for bert trt

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* MKLDNN v1.0 rebase to Paddle 1.6
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* Add hacky paddle::string::to_string() implementation

* vectorize<int64-t>() -> vectorize() cleanup
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* PADDLE_ENFORCE and void_cast fixes
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* Rebase changes
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* Cosmetics
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* Delete MKL from mkldnn.cmake
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* CMake debug commands
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* Delete MKLDNN_VERBOSE and rebase fixes
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* Rebase fixes
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* Temporarily disable int8 resnet101 vgg16 and vgg19 tests
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* Add libmkldnn.so.1 to python setup
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* Add libmkldnn.so.1 to inference_lib cmake after rebase
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* Post rebase fixes + FC int8 changes
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* Fix LRN NHWC
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* Fix NHWC conv3d
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* Windows build fix + next conv3d fix
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* Fix conv2d on AVX2 machines
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* add ernie-large test
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* add ernie large c++ inference test
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* add ut for comparing FP32 and QAT INT8

* add save qat transformed model python script
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* updated

* added missing file

* add "with_label"
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* performance benchmark as unit test
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* change names of unnecessary thing

* Change CMakeList.txt for model downloading and UT
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* change names of functions and params for more readable code
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* Change PADDLE_ENFORCE messages
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* fix indent problems
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* indent problems
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* fix the CAPI ZeroCopy shape error and reconstruct the output obtain

* use an anonymous namespace to cover the functor

* fix unit tests because of the output of typeid(T).name() is different from linux and windows, test=develop

* refine trt int8 for dynamic range set
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* refine trt int8
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* solve cmake fails on inference_download_and_uncompress
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* solve cmake fails on inference_download_and_uncompress
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* Add ernie unit test
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* Add ernie unit test
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* Add ernie unit test
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* remove ngraph

* optimize gpu test
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* optimize codes
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Bug Fix: Paddle-TRT cannot handle adaptive pooling in pool2d op converter and "num" attribute in split op converter (#20733)

* fix pool2d trt converter, test=develop

* add fix for split op converter, test=develop

* add capi for fluid inference api, including AnalysisConfig, AnalysisPredictor, PaddleBuf, PaddleTensor, ZeroCopyTensor

* Removing last dims constraints of seq_pad and seq_unpad test=develop

* fix test_layer api code test=develop

* fix sequence_pad_op.cc conflict test=develop

* remove test_analyzer_mm_dnn test=develop

* fix vectorize bug test=develop

* fix vectorize<int> test=develop

* fix trt bugs when sharing params, test=develop

* add unittest for cascade_rcnn

zerocopytensor support uint8, analysis config support profile, analysis predictor support GetInputTensorShape, test=develop (#19822)

* add local user data conversion into full_pascalvoc_test_preprocess.py
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* change PADDLE_ENFORCE to PADDLE_ENFORCE_GE
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* change according to reviews
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* change the top1 comparison to mAP comparison
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* change the mobilenet-ssd tester demo data and batch_size settings
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* remove the obsolete cmake options, test=develop

* remove unittests, test=develop

* some fixes for int8 mobilenet_ssd tester
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* change wrong data file name
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* change test images bin file from 200 images to 100 images

* change directory existence to file existence during downloading
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* reuse download_data
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* run full dataset when iterations=0
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* reuse C-API INT8 unit test application

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* updates after review

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* add pascalvoc preprocess script and mobilenet-ssd analyzer_tester, wait 17737

* change converting local dataset to downloading and converting tarfile
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* change the test data_path
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* change copyright (c) 2016 to copyright (c) 2019
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* add INT8 conv+relu6 fuse and enbale mobilentv2 INT8 test
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* change fasle and 0.0 to fuse_brelu and brelu_threshold
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change the "fuse_relu||fuse_brelu" to "unsigned_output"
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* Use relu instead of brelu as INT8 post-op because INT8 brelu is not enabled in mkldnn v0.18
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* continuous-integration fix
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* fuse mul and elementwise add to fc

* Reimplement the FC forward operator

* Fix FC MKLDNN integration by transposing weights

* Add FC MKLDNN Pass

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* FC MKLDNN Pass: change memcpy to std::copy

* Fix MKLDNN FC handling of mismatch input and weights dims

* Lower tolerance for MKL-DNN in resnet50 test

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* Adjust FC to support MKLDNN Op placement

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* Adjust Placement Op to set use_mkldnn attribute for graph

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* MKLDNN FC: fix weights format so that gemm version is called

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* FC MKLDNN: Remove tolerance decrease from tester_helper

* FC MKL-DNN: Refactor the code, change input reorder to weight reorder

* MKL-DNN FC: Introduce operator caching

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* FC MKL-DNN: Fix the tensor type in ExpectedKernelType

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* FC MKL-DNN: fix style changes

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* FC MKL-DNN: fallback to native on non-supported dim sizes

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* FC MKLDNN: fix CMake paths

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* FC MKLDNN: Refine placement pass graph mkldnn attribute

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* Fix Transpiler error for fuse_conv_eltwise

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* Fix missing STL includes in files

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* FC MKL-DNN: Enable new output size computation

Also, refine pass to comply with newest interface.
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* FC MKL-DNN: enable only when fc_mkldnn_pass is enabled

* FC MKL-DNN: Allow Weights to use oi or io format

* FC MKL-DNN: Adjust UT to work with correct dims

test=develop

* Enable MKL DEBUG for resnet50 analyzer

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* FC MKL-DNN: Improve Hashing function

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* FC MKL-DNN: Fix shape for fc weights in transpiler

* FC MKL-DNN: Update input pointer in re-used fc primitive

* Add log for not handling fc fuse for unsupported dims

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* FC MKL-DNN: Move transpose from pass to Op Kernel

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* FC MKL-DNN: Disable transpose in unit test

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* FC MKL-DNN: Remove fc_mkldnn_pass from default list

* Correct Flag for fake data analyzer tests

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* FC MKL-DNN: Add comment about fc mkldnn pass disablement

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* FC MKL-DNN: Disable fc in int8 tests

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* fix quantize_squash_pass segfault when there is no tensor linked do Bias input

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* add googlenet test

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* fix concat CreateKey not using input format

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* modify saved model path in analyzer_save_model.cc test=develop

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* Add 6 models tests support in CMake

* enabling resnet101, vgg16, vgg19 INT8v2 model tests
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* remove SERIAL
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* fix bn fuse vardesc and add model saver

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* unify save model in test helper

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* fix mkdir on windows

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* remove magic number use bn bias var desc

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