1. 11 4月, 2022 1 次提交
    • S
      【cherry-pick 2.3】modify inference model test build method to support multi version (#41503) · 83d6a5ad
      Sing_chan 提交于
      * change inference demo_test build method to ninja to choose visual studio version automaticly
      
      * notest;test=windows_ci_inference
      
      * set cuda of demo_ci by arg,fix bug of ninja compile,test=document_fix;test=windows_ci;test=windows_ci_inference
      
      * fix bug;test=document_fix;test=windows_ci;test=windows_ci_inference
      
      * fix bug;test=document_fix;test=windows_ci_inference"
      
      * set lib_path according to generator
      83d6a5ad
  2. 10 3月, 2022 1 次提交
    • H
      Inference add ONNXRuntime back-end (#39988) · 431afc39
      heliqi 提交于
      * add onnxruntime predictor
      
      * Add code comments
      
      * support link paddle2onnx onnxruntime
      
      * support onnxruntime with python
      
      * support onnxruntime with python
      
      * support onnxruntime with windows
      
      * paddle2onnx compile with windows
      
      * supoort windows compile
      
      * supoort windows compile with onnxruntime
      
      * supoort windows compile with paddle2onnx
      
      * supoort mac compile
      
      * compile with mac
      
      * compile with mac
      
      * add code comments
      
      * fix remind word
      
      * code optimization
      
      * add test case
      
      * add test case
      
      * add inference demo_ci test case
      
      * fix compile paddle2onnx with no python
      
      * add inference demo_ci test case
      
      * add inference demo_ci test case
      
      * add inference infer_ut test case
      
      * support c go api and test cases
      
      * add converage test case
      
      * add converage test case
      
      * add capi test case
      
      * add capi test case
      431afc39
  3. 23 12月, 2021 1 次提交
  4. 20 10月, 2021 1 次提交
    • S
      Add FasterTokenizer Operator (#34491) · 3f2d6a3f
      Steffy-zxf 提交于
      Add Tokenizer related functionalities for Transformer model in order that the process of training and predicting is consistent.
      
      * support the text string as an input Tensor
      * support the "VOCAB"unordered_map<wstring, int> as an input Tensor to lookup tokens
      * Tokenizer used for BERT. This tokenizer applies an end-to-end, text string to wordpiece tokenization.
      * It first applies basic tokenization, followed by wordpiece tokenization.
      3f2d6a3f
  5. 18 6月, 2021 1 次提交
  6. 01 3月, 2021 1 次提交
  7. 20 2月, 2021 1 次提交
  8. 24 12月, 2020 1 次提交
  9. 13 10月, 2020 1 次提交
  10. 23 9月, 2020 1 次提交
  11. 09 6月, 2020 1 次提交
  12. 01 6月, 2020 1 次提交
    • S
      support C++ inference shared library on windows (#24672) · 126d3d69
      silingtong123 提交于
      * add SetCommandLineOption
      
      * add the print_FLAGS function
      
      * remove the test demo
      
      * modify the location of macro
      
      * add the 'WITH_STATIC_LIB' option on windows
      
      * modify the macro of PD_INFER_DECL
      
      * modify the the fuction name
      
      * modify the unittest
      
      * modify the code style
      126d3d69
  13. 01 5月, 2020 1 次提交
  14. 09 4月, 2020 1 次提交
    • M
      Remove: NGraph engine from PDPD repository (#23545) · 3baaee9a
      mozga-intel 提交于
      * Remove the NGraph engine from PDPD repository
      1. Each operator was removed from the operator's directory
      2. Each test was removed from the unittest directory
      3. The parallel executor support was removed from the PDPD
      4. The CMake file was removed from the PDPD
      5. The NG flags were removed from the repository
      test=develop
      
      * Remove ngraph from:
      1. Cmake file
      2. Python file
      test=develop
      3baaee9a
  15. 14 1月, 2020 1 次提交
  16. 30 12月, 2019 1 次提交
  17. 26 11月, 2019 1 次提交
  18. 30 8月, 2019 1 次提交
  19. 19 8月, 2019 1 次提交
  20. 12 8月, 2019 1 次提交
  21. 09 8月, 2019 1 次提交
  22. 05 8月, 2019 1 次提交
  23. 21 6月, 2019 1 次提交
  24. 20 5月, 2019 1 次提交
  25. 10 1月, 2019 2 次提交
  26. 18 12月, 2018 1 次提交
  27. 14 12月, 2018 1 次提交
  28. 29 11月, 2018 2 次提交
  29. 26 11月, 2018 1 次提交
  30. 08 11月, 2018 1 次提交
  31. 02 11月, 2018 1 次提交
  32. 28 10月, 2018 2 次提交
  33. 26 10月, 2018 1 次提交
  34. 24 10月, 2018 2 次提交
  35. 23 10月, 2018 1 次提交
  36. 16 10月, 2018 1 次提交