1. 08 5月, 2020 1 次提交
  2. 28 3月, 2020 1 次提交
  3. 20 2月, 2020 1 次提交
  4. 12 2月, 2020 1 次提交
  5. 25 9月, 2019 1 次提交
    • W
      Add support for new QAT models (#18970) · 4286a627
      Wojciech Uss 提交于
      * Add support for new QAT models
      
      test=develop
      Co-Authored-By: NMichał Gallus <michal.gallus@intel.com>
      Co-Authored-By: NWojciech Uss <wojciech.uss@intel.com>
      
      * fixed fps results
      
      test=develop
      
      * fix top5 accuracy drop problem
      
      * updated for new QAT models
      
      * skip quantizing average pooling - dirty but working
      
      * add missing pass
      
      * added missing conv+brelu fuse pass
      
      * removed a call to non-existent pass
      
      test=develop
      
      * renamed pass
      
      test=develop
      
      * Adjust finding pooling scale to newest QAT models
      
      * Remove unnecessary code from quantization_mkldnn_pass
      
      * Copy Pooling input scale to output scale in QAT
      
      * Refactor & remove unused code in QAT
      
      * Incorporate fp32 FC into QAT
      
      test=develop
      
      * Enable graph drawing with debug flag
      
      test=develop
      
      * Add tests for QATv2
      
      * Fix paths for QATv2 models
      
      test=develop
      
      * Add option to save transformed int8 qat model
      
      test=develop
      
      * Remove redundant lines from qat mkldnn pass
      
      test=develop
      
      * Delegate disablement of avg pooling to qat
      
      test=develop
      
      * fix CI bug, test=develop
      
      * Follow Wangzhen's Review, test=develop
      
      * Update API.spec
      
      test=develop
      
      * Name False in (is_unsigned, TensorScale) tuple
      
      test=develop
      4286a627
  6. 16 6月, 2019 1 次提交
  7. 13 6月, 2019 1 次提交
    • W
      Added unit test for QAT FP32 & INT8 comparison (#17814) · 78e93286
      Wojciech Uss 提交于
      * added unit test for QAT FP32 & INT8 comparison
      
      test=develop
      
      * enabled other models and updated filenames
      
      test=develop
      
      * added accuracy check and multiple batch handling
      
      test=develop
      
      * removed quantization_mkldnn_pass.py
      
      test=develop
      
      * cleanup
      
      test=develop
      
      * updated model paths
      
      test=develop
      
      * renamed tests without MKL-DNN
      
      test=develop
      
      * fix reusing mkldnn pool2d primitive
      
      test=develop
      
      * add performance measuring
      
      test=develop
      
      * fix accuracy statistics
      
      test=develop
      
      * removed non-mkldnn tests
      
      test=develop
      
      * added conv2d_depthwise->conv2d mkldnn transformation
      
      test=develop
      
      * format update
      
      test=develop
      
      * fixed creating key for pool2d grad
      
      test=develop
      
      * added pass
      
      * Fix the accuracy issue while using float precision to get the scale.
      
      test=develop
      
      * Fix the format issue when 'X' is not nchw.
      
      test=develop
      
      * removed output comparing and changed number of images
      
      test=develop
      
      * cmake and comment fix
      
      test=develop
      
      * updated acc threshold for QAT comparison tests
      
      test=develop
      
      * added OMP_NUM_THREADS setting
      
      test=develop
      
      * enable all QAT INT8 tests
      
      test=develop
      
      * restored upstream version of a file
      
      test=develop
      
      * modified directory names
      
      test=develop
      78e93286