* Refine the codes related to fc op.
* Add GPU implementation for fc functor.
* Apply fc_fuse_pass in GPU inference.
test=develop
* Change the cmake for fc op.
* Change PADDLE_ENFORCE to PADDLE_ENFORCE_EQ.
* Add an attribute to set the activation type in fc_op.
* Enhance the unittest of fc_op.
test=develop
* Remove the declaration of FCOpGrad back to the header file.
test=develop
* Set default value for newly added arguments in test_fc_op.
test=develop
* Add a interface to enable cudnn for inference.
* Add cudnn_placement_pass.
test=develop
* Set the default value of cudnn_enabled_op_types to null.
test=develop
* Write the common basic class, placement_pass_base, to refine the codes.
test=develop
* Call EnableCUDNN in unittest.
test=develop
* Refine cudnn_placement_pass tester.
* Enable the testing of cudnn_placement_pass in inference's unittest.
test=develop
* Add the check of op kernels.
test=develop
* Add simplify_with_basic_ops_pass to replace dropout_op with scale_op when is_test is true.
test=develop
* Delete dropout_op directly when upscale_in_train is true.
test=develop
* Improve the debug string, adding the print of op_desc information.
* Fix the case when dropout's input x is reused as the next op's output.
* Add the pass to inference.
test=develop
* Change the log level.
test=develop
* Add unittest for inplace case.
* Add comment to explain the pass.
* Apply the pass for CPU inference.
test=develop
* Fix the typo.
test=develop
* Add the check of AttrType.
test=develop
* add local user data conversion into full_pascalvoc_test_preprocess.py
test=develop
* change PADDLE_ENFORCE to PADDLE_ENFORCE_GE
test=develop
* change according to reviews
test=develop
* add train demo for imdb text classification task
* make inference library release data_feed dataset dataset_factory data_feed_factory
* add String Data Generator
* new feature of train demo: save model params
* New feature of train demo: set training config using gflags
* change code style for CI
* add readme and dataset for imdb demo trainer
* Fix Mask rcnn predictor
1. refine memory optim algorithm to support the model with the block op.
2. output diff : modify the affine channel fuse
3. add condition_block_infer op
add interface for setting trt calib table dir
test=develop
* add the missing files.
test=develop
* 1 add trt fp16 support
test=develop
* fix trt fp16 ce error
test=develop
* add an vlog if the user use trt4 and specify fp16.
test=develop
* fix security issue, test=develop
* bug fix, test=develop
* throw an exception when null pointer data with non-zero length PaddleBuf is passed, test=develop
* Fix Mask rcnn predictor
1. refine memory optim algorithm to support the model with the block op.
2. output diff : modify the affine channel fuse
3. add condition_block_infer op
add interface for setting trt calib table dir
test=develop
* add the missing files.
test=develop
* 1 add trt fp16 support
test=develop
* update paddle-trt for:
1. fix bug: when batch > 2, core in split plugin.
2. add leaky_relu trt5.0 support (yolov3 from 65ms to 42ms.)
3. add new attr to dropout.
4. shuffle channel, swish, relu6 support
test=develop
* 1. fix ci
test=develop
* update anakin-engine interfaces for content-dnn
test=develop
* support only-gpu mode of Anakin
modify eltwise parse
test=develop
* modification for thread-safe
test=develop
* Integrated template instance
test=develop
* increase template parameters
test=develop
* support MLU predictor
test=develop
* update anakin cmake files
test=develop
* update TargetWrapper::set_device
* update the initialization of anakin subgraph
test=develop
* use the default constructor of base class
test=develop
* load model from buffer with length
test=develop
* modify the access level of class
test=develop
* support anakin for bitmain arch
test=develop
* remove files
* checkout cmakelists
test=develop
* modify interfaces
test=develop
* add cmake dependments
test=develop
* enforce the outputs of net
test=develop
* Fix Mask rcnn predictor
1. refine memory optim algorithm to support the model with the block op.
2. output diff : modify the affine channel fuse
3. add condition_block_infer op
add interface for setting trt calib table dir
test=develop
* add the missing files.
test=develop
* update anakin-engine interfaces for content-dnn
test=develop
* support only-gpu mode of Anakin
modify eltwise parse
test=develop
* modification for thread-safe
test=develop
* Integrated template instance
test=develop
* increase template parameters
test=develop
* support MLU predictor
test=develop
* update anakin cmake files
test=develop
* update TargetWrapper::set_device
* update the initialization of anakin subgraph
test=develop
* use the default constructor of base class
test=develop
* load model from buffer with length
test=develop
* modify the access level of class
test=develop
* support anakin for bitmain arch
test=develop
* remove files
* checkout cmakelists
test=develop
* some fixes for int8 mobilenet_ssd tester
test=develop
* change wrong data file name
test=develop
* change test images bin file from 200 images to 100 images
* change directory existence to file existence during downloading
test=develop
* reuse download_data
test=develop
* run full dataset when iterations=0
test=develop
* add INT8 conv+relu6 fuse and enbale mobilentv2 INT8 test
test=develop
* change fasle and 0.0 to fuse_brelu and brelu_threshold
test=develop
change the "fuse_relu||fuse_brelu" to "unsigned_output"
test=develop
* Use relu instead of brelu as INT8 post-op because INT8 brelu is not enabled in mkldnn v0.18
test=develop
* continuous-integration fix
test=develop
* add Concat quantization
add unit test for quantizing concat
fix for wrong value when the input is not in map of calculated scales
add use_quantizer to concat_op.cc
add scale_algo rules for concat
test=develop
* missing fix for multiple inputs quantize-squash
* wojtuss review fix: adding comment
test=develop
* fix the bug that sub_scope_ may be null in AnalysisPredictor::Run.
* add more directions about io APIs' docs.
* update the API.spec. test=develop test=document_preview
* fluid int8 train and trt int8 predict align.
trt int8 predict init
op converter
* 2. align fluid int8 train and trt int8 inference.
enhance quant dequant fuse pass
enhance op converter, trt engine, trt engine op, trt subgraph pass.
* 3. add delete_quant_dequant_pass for trt
test=develop
* 4. add the missing file
test=develop
* 5. i modify the c++ interface, but forget to modify the pybind code
fix the IS_TRT_VERSION_GE bug, and fix elementwise op converter
test=develop
* fuse mul and elementwise add to fc
* Reimplement the FC forward operator
* Fix FC MKLDNN integration by transposing weights
* Add FC MKLDNN Pass
test=develop
* 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
test=develop
* Adjust FC to support MKLDNN Op placement
test=develop
* Adjust Placement Op to set use_mkldnn attribute for graph
test=develop
* MKLDNN FC: fix weights format so that gemm version is called
test=develop
* 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
test=develop
* FC MKL-DNN: Fix the tensor type in ExpectedKernelType
test=develop
* FC MKL-DNN: fix style changes
test=develop
* FC MKL-DNN: fallback to native on non-supported dim sizes
test=develop
* FC MKLDNN: fix CMake paths
test=develop
* FC MKLDNN: Refine placement pass graph mkldnn attribute
test=develop
* Fix Transpiler error for fuse_conv_eltwise
test=develop
* Fix missing STL includes in files
test=develop
* FC MKL-DNN: Enable new output size computation
Also, refine pass to comply with newest interface.
test=develop
* 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
test=develop
* FC MKL-DNN: Improve Hashing function
test=develop
* 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
test=develop
* FC MKL-DNN: Move transpose from pass to Op Kernel
test=develop
* FC MKL-DNN: Disable transpose in unit test
test=develop
* FC MKL-DNN: Remove fc_mkldnn_pass from default list
* Correct Flag for fake data analyzer tests
test=develop
* FC MKL-DNN: Add comment about fc mkldnn pass disablement
test=develop
* FC MKL-DNN: Disable fc in int8 tests
test=develop
* add conv_concat_relu fuse
test=develop
* add test code
test=develop
* added missing include with unordered_map
test=develop
* review fixes for wojtuss
test=develop
* remove 'should (not) be fused' comment statements
one of them was invalid anyway
test=develop
* fix quantize_squash_pass segfault when there is no tensor linked do Bias input
test=develop
* add googlenet test
test=develop
* fix concat CreateKey not using input format
test=develop
* Relu6 is the bottleneck op for Mobilenet-v2. As the mkldnn supports the conv/relu6 fusion, we implement it fusion via cpass way. Due to the int8 enabling for this fusion will be supported in MKLDNN v0.20, so this PR is focused on the fp32 optimization.
Below table shows the benchmark(FPS) which measured on skx-8180(28 cores)
Batch size | with fusion | without fusion
-- | -- | --
1 | 214.7 | 53.4
50 | 1219.727 | 137.280
test=develop
* Fix the format issue
test=develop
* Add the missing nolint comments.
test=develop
* Fix the typos.
test=develop
* Register the conv_brelu_mkldnn_fuse_pass for the MKLDNN engine.
test=develop
* Adjust the indentation.
test=develop
* Add the test_conv_brelu_mkldnn_fuse_pass case.
test=develop
* Slightly update the code per Baidu comments.
Let the parameter definition embedded into the code.
That's will make the code easy to understand.
test=develop
* fix bn fuse vardesc and add model saver
test=develop
* unify save model in test helper
test=develop
* fix mkdir on windows
test=develop
* remove magic number use bn bias var desc
test=develop
* add parallel build script to ci test=develop
* 1. classify the test case as single card/two cards/multiple cards type
2. run test case according to the run type
1. refine anakin engine
2. add data type for zero copy
align dev branch and PaddlePaddle:feature/anakin-engine brach
the cudnn workspace modify was not included for now, because we use a hard code way
in feature/anakin-engine branch. There should be a better way to implement it,
and subsequent submissions will be made.
test=develop
* - Fix to crash of Transformer when mkldnn is to be used
Desc: TensorCopy was not setting MKLDNN primitive descriptor when layout was to be kMKLDNN
test=develop
* - Enable transformer for mkl-dnn
test=develo
* - Compilation fix
test=develop
* - Removed manual selection of MKL-DNN ops to be used in Transformer test
test=develop
* Add cpu_quantize_pass for C-API quantization
test=develop
* add cpu_quantize_pass test
* fix lint: add include memory unorderd_map and unordered_set
test=develop
* fuse_relu 1
test=develop
* tuned 2 without squash
* fixes
test=develop
* remove unused vars
test=develop
* refactored
test=develop
* fix lint c-style cast -> C++ style cast
test=develop
* remove QuantMax and c style casts
test=develop
* last usage of QuantMax removed
test=develop
* Fix Analysis Predictor UT
Check if memory_optimize_pass has already been added
to the analysis config before adding a new one, so
that it is not added multiple times.
test=develop
* change map to unordered_map
fix the forgotten part of cpu_quantize_pass_tester.cc
test=develop
* removed quantized attribute
* fixed cpu_quantize_pass_tester and op attr comments
test=develop
* removed redundant line
test=debug
* removed gmock
test=develop
* fix after merge
* Refine cmake's download function.
test=develop
* Set DOWNLOAD_NO_EXTRACT to 1 pure download function.
test=develop
* Fix unpack problem in ExternalProject_Add, and it seem DOWNLOAD_NO_EXTRACT option is not support in cmake-3.5.
test=develop
Yiqun Liu
Tao Luo
baojun
liuwei1031
lidanqing
Adam
Zhaolong Xing
Zeng Jinle
wopeizl
mapingshuo
silingtong123
石晓伟
Leo Zhao
Huihuang Zheng
guru4elephant
Jiabin Yang
bingyanghuang
Michał Gallus
Sylwester Fraczek
翟飞跃
Wojciech Uss
Michał Gallus
mozga-intel
Jacek Czaja
Zhen Wang
lijianshe02
guomingz
flame
tensor-tang
tangwei12
wopeizl
nhzlx
gongweibao
root
superjomn
Yihua Xu
chengduo
Michał Gallus
flame
Qiyang Min
minqiyang
Dun