1. 09 2月, 2023 1 次提交
  2. 08 2月, 2023 3 次提交
  3. 07 2月, 2023 1 次提交
  4. 06 2月, 2023 2 次提交
  5. 03 2月, 2023 3 次提交
    • S
      Replace matmul(v2) with fused_matmul during oneDNN fuse passes (#49515) · 5cfe1645
      Sławomir Siwek 提交于
      * replace matmul with matmul_v2 in fuse passes
      
      * Remove fusion logic from matmul
      
      * removing fusion methods
      
      * add proper name
      
      * adjust namespaces
      
      * clean attrs in python tests
      
      * delete checkpoint and restore matmul version
      
      * remove unused code
      
      * matmul and reshape/transpose fuses migrated
      
      * split MatmulOneDNN headers
      
      * fuse activation and eltwise_add
      
      * add fuse_activation
      
      * matmul_transpose_reshape/reshape_transpose_matmul
      
      * matmul + elementwise_add (fused)
      
      * activation temporary modifciation
      
      * merge newest develop
      
      * remove depedency from other PR
      
      * revert pbtxt
      
      * remove placeholders from matmul_v2
      
      * add description in OPMaker
      
      * remove matmul_v2_op.h and all depedencies
      
      * remove dims changing in base op
      
      * add possibility to fuse already fused_matmul
      
      * restart broken CI
      
      * Empty-Commit
      
      * revert matmul_utils.h
      
      * codestyle
      
      * adjust imports
      
      * add pbtxt file
      
      * 100% matmul unit tests coverage
      
      * trigger CI with minimal changes to develop
      
      * adjust changes to develop
      
      * add fused_matmul op
      
      * inherit base ops
      
      * add "v2"
      
      * move OPMaker
      
      * Gradually add fused_matmul files
      
      * second batch of fused_matmul changes
      
      * split infershapes of matmul_v2 and fused_matmul
      
      * inherit fused_matmul from matmul_v2
      
      * Update paddle/phi/backends/onednn/onednn_reuse.h
      Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>
      
      * Update paddle/phi/kernels/fusion/onednn/fused_matmul_kernel.cc
      Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>
      
      ---------
      Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>
      5cfe1645
    • P
      Rewrite conv testers from cpp to python (#49582) · aa8cef4a
      Paulina Gacek 提交于
      * conv_bias_mkldnn_fuse_pass_tester rewritten
      
      * conv_concat_relu_mkldnn_fuse_pass_tester rewritten
      
      * conv_elementwise_add_fuse_pass_tester rewritten
      
      * mkldnn changed to onednn
      
      * tests added to cmakeLists, style fix
      
      * got rid of unnecessary UT, some style changes
      
      * changes in naming convention
      
      * max_examples reduced
      
      * time out added
      aa8cef4a
    • Y
      Fused attention pass backward op replace. (#50186) · 7e8ef328
      Yuang Liu 提交于
      7e8ef328
  6. 01 2月, 2023 2 次提交
  7. 31 1月, 2023 2 次提交
  8. 30 1月, 2023 1 次提交
  9. 29 1月, 2023 1 次提交
  10. 18 1月, 2023 1 次提交
  11. 17 1月, 2023 1 次提交
  12. 16 1月, 2023 1 次提交
  13. 13 1月, 2023 1 次提交
  14. 12 1月, 2023 2 次提交
  15. 10 1月, 2023 1 次提交
  16. 09 1月, 2023 3 次提交
  17. 05 1月, 2023 1 次提交
  18. 04 1月, 2023 3 次提交
  19. 03 1月, 2023 2 次提交
  20. 02 1月, 2023 1 次提交
  21. 30 12月, 2022 1 次提交
  22. 26 12月, 2022 1 次提交
  23. 23 12月, 2022 2 次提交
  24. 21 12月, 2022 1 次提交
    • Z
      Refactor Pass for fused_conv (#48848) · 7f0eb2e3
      zyfncg 提交于
      * refactor conv_activation_mkldnn_fuse_pass
      
      * refactor conv_affine_channel_mkldnn_fuse_pass
      
      * fix conv_activation_mkldnn_fuse_pass
      
      * fix mkldnn unittest
      
      * refactor int8_scale_calculation_mkldnn_pass and params_quantization_mkldnn_pass
      
      * refactor conv_elementwise_add_mkldnn_fuse_pass
      
      * fix quant
      
      * refactor conv_bn_fuse_pass
      
      * fix conv_bn_fuse_pass
      
      * refactor depthwise_conv_bn_fuse_pass
      
      * fix unittest
      
      * fix conv_bn_fuse_pass
      
      * remove redundant conv2d in params_quantization_mkldnn_pass
      
      * fix params_quantization_mkldnn_pass_tester
      7f0eb2e3
  25. 19 12月, 2022 2 次提交