1. 27 8月, 2021 1 次提交
  2. 27 11月, 2019 1 次提交
    • M
      INT8 Fully-connected (#17641) · 5d7d5482
      Michał Gallus 提交于
      * Implement Int8 FC
      
      * Integrate FC into INT8v2
      
      test=develop
      
      * int8 FC: transpose weights before computing scales
      
      test=develop
      
      * Add support for activation_type string in FC
      
      test=develop
      
      * Disable MKL-DNN's FC in VGG16 and 19
      
      test=develop
      
      * Disable FC quantization when mkldnn FC is disabled
      
      test=develop
      
      * Solve PADDLE_ENFORCES in FC int8
      
      * Fix Paddle enforces and remove const cast
      
      test=develop
      
      * Fix style changes
      
      test=develop
      
      * Fix quantizer_tester test and add fc quantization
      
      test=develop
      
      * Fix FC test fail on CUDA
      
      * Remove unnecessary log from quantize placement pass
      
      test=develop
      
      * Add Thread ID to FC hash key
      
      test=develop
      
      * Add comments to MKL-DNN FC Kernel
      
      test=develop
      
      * Refactor quantizer
      
      test=develop
      
      * Fix linter issues
      
      test=develop
      
      * Fix crash in slim googlenet
      
      test=develop
      
      * Fix PADDLE_ENFORCE messages
      
      test=develop
      5d7d5482
  3. 27 6月, 2019 1 次提交
  4. 06 6月, 2019 1 次提交
    • INT8 MKL-DNN v2 integrate to slim (#17634) · 993c703b
      翟飞跃 提交于
      * refactor PR 16865
      
      * delete mergetool files
      
      * test=develop
      
      * test=develop
      
      * test=develop
      
      * test=develop
      
      * create dir for int8 model before call SaveOptimModel
      
      * test=develop
      
      * mkldnn int8 only support linux; test=develop
      
      * refine code; test=develop
      
      * remove comment; test=develop
      
      * refine code; test=develop
      
      * fix bug; test=develop
      
      * add exception for mkldnn_post_training_strategy
      
      * reuse int8v2 CAPI dataset; test=develop
      
      * fix accuracy check bug; test=develop
      
      * remove tab
      
      * convert files to unix format
      
      * test=develop
      
      * reduce CI time;test=develop
      
      * reduce CI time and refine code;test=develop
      
      * refine comment; test=develop
      
      * add cmake FLAGS;test=develop
      
      * remove predict_num;test=develop
      993c703b
  5. 28 3月, 2019 1 次提交