1. 27 5月, 2019 1 次提交
    • Z
      Code clean of Allocator (#17602) · 4aa931dd
      Zeng Jinle 提交于
      * Revert "Revert "Fix allocator bug""
      
      This reverts commit 174d0d0b.
      
      * Revert "fix travis ci"
      
      This reverts commit 5656fa9f.
      
      test=develop
      
      * add inlined_vector.h, test=develop
      
      * add inlined_vector_test,test=develop
      
      * clean code of allocator,test=develop
      
      * delete zero_size_allocator.h,test=develop
      
      * fix failed unittest,test=develop
      4aa931dd
  2. 25 5月, 2019 1 次提交
    • Z
      TRT: Support set dynamic range in int8 mode. (#17524) · 61221ebc
      Zhaolong Xing 提交于
      * 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
      61221ebc
  3. 24 5月, 2019 5 次提交
    • M
      [MKL-DNN] Add Fully Connected Op for inference only(#15226) · 0c39b97b
      Michał Gallus 提交于
      * 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
      0c39b97b
    • W
      add __str__ method for tensor and lodtensor to support print test=dev… (#17588) · 6724a652
      wopeizl 提交于
      * add __str__ method for tensor and lodtensor to support print test=develop
      6724a652
    • S
      Conv concat relu quantization (#17466) · 5b2a3c4b
      Sylwester Fraczek 提交于
      * 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
      5b2a3c4b
    • S
      fix quantize_squash_pass segfault when no tensor linked to Bias (#17292) · bccb0ba4
      Sylwester Fraczek 提交于
      * 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
      bccb0ba4
    • G
      polish_executor_and_add_ctx_cache (#17536) · 7f8bc49d
      guru4elephant 提交于
      * polish_executor_and_add_ctx_cache
      7f8bc49d
  4. 23 5月, 2019 2 次提交
  5. 22 5月, 2019 1 次提交
    • G
      Enable the convolution/relu6(bounded_relu) fusion for FP32 on Intel platform. (#17130) · 2281ebf0
      guomingz 提交于
      * 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
      2281ebf0
  6. 20 5月, 2019 2 次提交
  7. 17 5月, 2019 2 次提交
  8. 16 5月, 2019 5 次提交
  9. 15 5月, 2019 1 次提交
    • J
      add save/load model, shrink table, cvm, config file & fix pull dense bug (#17118) · 66d51206
      jiaqi 提交于
      * add save/load model, shrink table, cvm, config file & fix pull dense bug
      test=develop
      
      * fix global shuffle bug, fix pull dense bug, fix release memeory bug, fix shrink error
      add client flush, add get data size
      test=develop
      
      * fix global shuffle bug
      test=develop
      
      * fix global shuffle bug
      test=develop
      
      * fix code style
      test=develop
      
      * fix code style & modify pslib cmake
      test=develop
      
      * fix error of _role_maker
      test=develop
      
      * fix code style
      test=develop
      
      * fix code style
      test=develop
      
      * fix code style
      test=develop
      
      * fix code style
      test=develop
      
      * fix code style
      test=develop
      
      * fix windows compile error of fleet
      test=develop
      
      * fix global shuffle bug
      
      * add comment
      test=develop
      
      * update pslib.cmake
      test=develop
      
      * fix fill sparse bug
      test=develop
      
      * fix push sparse bug
      test=develop
      66d51206
  10. 14 5月, 2019 1 次提交
  11. 12 5月, 2019 1 次提交
  12. 10 5月, 2019 2 次提交
    • Q
      Double backward of conv2d. (#17211) · e32c9888
      qingqing01 提交于
      * Add conv2d_grad_grad_op
      * Extracte the cuDNN conv algo searching code in conv_cudnn_helper.h.
          - Now use it in conv2d_grad_grad.
          - Will simply the searching code in conv2d and conv2d_grad in next PR.
      * Enhance and fix bug in unit testing of gradient_checker.
      * Support to fetch empty variables,return None in Python.
      e32c9888
    • Z
      fix data_type error message (#17312) · 5e5e7b33
      Zeng Jinle 提交于
      test=develop
      5e5e7b33
  13. 09 5月, 2019 2 次提交
  14. 08 5月, 2019 2 次提交
  15. 07 5月, 2019 3 次提交
    • Z
      Enhance inplace/mem-opt pass and enhance softmax_with_cross_entropy op inplace (#17225) · 4f859408
      Zeng Jinle 提交于
      * add use_cuda to inplace pass,test=develop
      
      * add test softmax_with_xe_inplace test,test=develop
      
      * fix potential inplace bug
      test=develop
      
      * add more skip vars in mem opt pass,test=develop
      
      * follow comment,test=develop
      
      * follow comments,move duplicate out arg check to program->graph,test=develop
      4f859408
    • S
      fix build warning like 'comparison between signed and unsigned (#17240) · c2e20e2a
      songhao 提交于
      integer', test=develop
      c2e20e2a
    • Cherry-pick benchmark related changes from release/1.4 (#17156) · a72dbe9a
      石晓伟 提交于
      * cherry-pick commit from 88770542
      
      * cherry-pick commit from 3f0b97df
      
      * cherry-pick from 16691:Anakin subgraph support yolo_v3 and faster-rcnn
      
      (cherry picked from commit 8643dbc2)
      
      * Cherry-Pick from 16662 : Anakin subgraph cpu support
      
      (cherry picked from commit 7ad182e1)
      
      * Cherry-pick from 1662, 16797.. : add anakin int8 support
      
      (cherry picked from commit e14ab180)
      
      * Cherry-pick from 16813 : change singleton to graph RegistBlock
      test=release/1.4
      
      (cherry picked from commit 4b9fa423)
      
      * Cherry Pick : 16837 Support ShuffleNet and MobileNet-v2
      
      Support ShuffleNet and MobileNet-v2, test=release/1.4
      
      (cherry picked from commit a6fb066f)
      
      * Cherry-pick : anakin subgraph add opt config layout argument #16846
      test=release/1.4
      
      (cherry picked from commit 8121b3ec)
      
      * 1. add shuffle_channel_detect
      
      (cherry picked from commit 6efdea89)
      
      * update shuffle_channel op convert, test=release/1.4
      
      (cherry picked from commit e4726a06)
      
      * Modify symbol export rules
      
      test=develop
      a72dbe9a
  16. 06 5月, 2019 2 次提交
  17. 30 4月, 2019 2 次提交
    • T
      fix bn fuse vardesc and add model saver (#17143) · 79ed1c76
      tensor-tang 提交于
      * 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
      79ed1c76
    • Z
      Rewrite inplace pass and fix gc bug (#17126) · 4e1bc6e8
      Zeng Jinle 提交于
      * fix op graph view
      test=develop
      
      * rewrite inplace pass and fix reference count pass bug
      test=develop
      
      * fix unittest failed
      test=develop
      
      * follow comments, test=develop
      4e1bc6e8
  18. 26 4月, 2019 2 次提交
  19. 25 4月, 2019 1 次提交
  20. 24 4月, 2019 1 次提交
  21. 23 4月, 2019 1 次提交