1. 29 12月, 2022 1 次提交
    • rm legacy dygraph part7 (#49285) · df3f74df
      姜永久 提交于
      * rm legacy dygraph part7
      
      * rm non_static_mode
      
      * modify
      
      * modify
      
      * add static test
      
      * set static for lstm_cudnn test
      
      * reset tracer
      
      * reset varbase
      
      * fix
      df3f74df
  2. 08 11月, 2022 1 次提交
  3. 26 10月, 2022 1 次提交
  4. 23 10月, 2022 1 次提交
  5. 20 10月, 2022 1 次提交
  6. 18 10月, 2022 1 次提交
  7. 17 10月, 2022 1 次提交
  8. 12 10月, 2022 1 次提交
  9. 29 9月, 2022 1 次提交
  10. 28 9月, 2022 2 次提交
  11. 27 9月, 2022 2 次提交
    • W
      [Eager, Performance optimization] support divide( / operator) to sink to Cpp layer (#46329) · f20b361c
      Weilong Wu 提交于
      * [Eager] math op sink to Cpp level
      
      * fix ci errors
      
      * draft version
      
      * support + and - operator under cpp directly
      
      * add static test
      
      * polish code
      
      * promote types or unify right type to left
      
      * recover static test case
      
      * polish code and fix some ci errors
      
      * support complex and polish code
      
      * fix conflicts
      
      * fix windows ci errors
      
      * fix windows-inference-ci errors
      
      * polish and fix tests
      
      * fix test case
      
      * polish code
      
      * [Eager, Performance optimization] support multiply( * operator) to sink to Cpp layer
      
      * rm useless glog
      
      * [Eager, Performance optimization] support divide( / and // operator) to sink to Cpp layer
      
      * polish code
      
      * polish code and fix code-format
      
      * polish code
      
      * fix CI
      
      * polish code
      
      * update test
      
      * support div operator under cpp
      
      * fix scalar as input
      
      * Polish div logic, fix ci test
      
      * fix errors
      f20b361c
    • N
      [CodeStyle] remove all future import (#46411) · 30387006
      Nyakku Shigure 提交于
      * [CodeStyle] remove all future import
      
      * revert test_error.py
      
      * restore future import in example code
      30387006
  12. 26 9月, 2022 2 次提交
    • W
      [Eager, Performance optimization] support multiply( * operator) to sink to Cpp layer (#46326) · 7fb20b46
      Weilong Wu 提交于
      * [Eager] math op sink to Cpp level
      
      * fix ci errors
      
      * draft version
      
      
      * support + and - operator under cpp directly
      
      * add static test
      
      * polish code
      
      * promote types or unify right type to left
      
      * recover static test case
      
      * polish code and fix some ci errors
      
      * support complex and polish code
      
      * fix conflicts
      
      * fix windows ci errors
      
      * fix windows-inference-ci errors
      
      * polish and fix tests
      
      * fix test case
      
      * polish code
      
      * [Eager, Performance optimization] support multiply( * operator) to sink to Cpp layer
      
      * rm useless glog
      
      * polish code
      
      * polish code and fix code-format
      
      * polish code
      
      * fix CI
      
      * polish code
      7fb20b46
    • W
      [Eager, Performance optimization] math op sink to Cpp level ( + and - operator... · 23c50648
      Weilong Wu 提交于
      [Eager, Performance optimization] math op sink to Cpp level ( + and - operator as an example ) (#45811)
      
      * [Eager] math op sink to Cpp level
      
      * fix ci errors
      
      * draft version
      
      * draft version
      
      * draft version
      
      * support + and - operator under cpp directly
      
      * add static test
      
      * polish code
      
      * promote types or unify right type to left
      
      * recover static test case
      
      * polish code and fix some ci errors
      
      * support complex and polish code
      
      * fix conflicts
      
      * fix windows ci errors
      
      * fix windows-inference-ci errors
      
      * polish and fix tests
      
      * fix test case
      
      * polish code
      
      * polish code
      
      * polish code and fix code-format
      
      * polish code
      
      * polish code
      
      * polish code
      
      * polish code
      23c50648
  13. 30 8月, 2022 1 次提交
  14. 26 8月, 2022 1 次提交
  15. 22 8月, 2022 1 次提交
  16. 02 8月, 2022 1 次提交
    • W
      [Eager] use eager final state instead intermediate state (#44722) · f1873b90
      Weilong Wu 提交于
      * [Eager] call final_state_slice under eager mode
      
      * rm useless comments
      
      * use eager final state instead intermidiate state
      
      * update fill_constant yaml
      
      * update fill_constant yaml
      
      * modify wrapped_infermeta_gen logic to fix special case
      
      * fix slice in manipulation
      
      * use fill_constant_
      
      * modify slice infermeta
      
      * rm final_state_conv2d
      
      * use final_state_slice
      
      * use final_state_slice only
      
      * polish slice, use final state
      
      * add paddle_throw for SplitInferMeta
      
      * rm fill_constant_ temply
      
      * recover array_equal, not allclose
      
      * recover original code
      f1873b90
  17. 21 7月, 2022 1 次提交
  18. 05 6月, 2022 1 次提交
    • S
      【code format check upgrade】 step2:yapf (#42944) · a072fca8
      Sing_chan 提交于
      * use yapf to format all python file
      
      * yapf exclude two unittests file for they rely on writing and reading file, and format will break them
      
      * disable diff_py_file because too many diff files cause command following failed
      a072fca8
  19. 25 4月, 2022 1 次提交
  20. 18 4月, 2022 1 次提交
  21. 12 4月, 2022 1 次提交
  22. 06 4月, 2022 1 次提交
  23. 28 3月, 2022 1 次提交
  24. 25 3月, 2022 1 次提交
    • J
      Refactor Dygraph Flags (#40786) · 3085d5e4
      Jiabin Yang 提交于
      * refactor eager flags
      
      * fix flags error when we switch from eager to dygraph
      
      * fix ci problem
      
      * fix ci
      
      * fix ci
      
      * merge develop and fix code style
      
      * merge develop and fix code style
      
      * fix op test error
      
      * fix op test error
      
      * fix op test error
      
      * fix op test error
      
      * fix op test error
      
      * merge develop
      3085d5e4
  25. 16 2月, 2022 1 次提交
    • J
      EagerTensor to EagerVariable (#39447) · 831fd86e
      Jiabin Yang 提交于
      * merge legacy to fluid
      
      * Remove legacy code
      
      * Remove legacy code
      
      * Remove DataType test
      
      * Using Tensor directly instead of using EagerTensor
      
      * support gradient_accumulation
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * refine code
      
      * Rename all EagerTensor to Tensor
      
      * Rename some EagerTensor to Tensor
      
      * rename EagerTensor to EagerVariable
      
      * add more test
      
      * merge develop and refine code
      831fd86e
  26. 05 1月, 2022 1 次提交
    • W
      [Eager] Support test imperative basic in eager test_empty_grad (#38376) · 9108e777
      wanghuancoder 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * support more eager tensor api
      
      * fix merge compile error
      
      * fix compile error and fit develop code
      
      * support pure CPU
      
      * fix some logic error in eager_mode
      
      * support _varbase_creator in eager mode
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      
      * for eager mode
      
      * refine
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * eager logic
      
      * refine test in pure cpu
      
      * eager logic
      
      * eager logic
      
      * eager logic, test=develop
      
      * skip core.eager when in inference, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call RetainGrad after run forward kernel, test=develop
      
      * refine, test=develop
      
      * support dygraph util, meta, guard test
      
      * eager test case
      
      * support inference test
      
      * refine test and fix initializer failed
      
      * modify eagertensor patch method
      
      * add eagertensor.clear_grandint, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call monkey_patch_varbase in _test_eager_guard, test=develop
      
      * split clear_gradient to clear_gradient and zero_grads, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NJiabinYang <360788950@qq.com>
      9108e777
  27. 24 12月, 2021 1 次提交
    • J
      Support test imperative basic in eager (#38313) · d48f7c89
      Jiabin Yang 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * support more eager tensor api
      
      * fix merge compile error
      
      * fix compile error and fit develop code
      
      * support pure CPU
      
      * fix some logic error in eager_mode
      
      * support _varbase_creator in eager mode
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      
      * for eager mode
      
      * refine
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * eager logic
      
      * refine test in pure cpu
      
      * eager logic
      
      * eager logic
      
      * eager logic, test=develop
      
      * skip core.eager when in inference, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call RetainGrad after run forward kernel, test=develop
      
      * refine, test=develop
      
      * support dygraph util, meta, guard test
      
      * support inference test
      
      * refine test and fix initializer failed
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NWang Huan <wanghuan29@baidu.com>
      d48f7c89
  28. 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
  29. 13 9月, 2021 1 次提交
  30. 08 9月, 2021 1 次提交
  31. 15 7月, 2021 1 次提交
  32. 22 6月, 2021 1 次提交
  33. 21 6月, 2021 1 次提交
  34. 16 6月, 2021 1 次提交
  35. 02 6月, 2021 1 次提交
  36. 27 4月, 2021 1 次提交
  37. 14 4月, 2021 1 次提交